{"id":19316,"date":"2026-09-13T08:50:34","date_gmt":"2026-09-13T12:50:34","guid":{"rendered":"https:\/\/wp.glbgpt.com\/?p=19316"},"modified":"2026-09-13T08:50:35","modified_gmt":"2026-09-13T12:50:35","slug":"ai-data-privacy","status":"publish","type":"post","link":"https:\/\/wp.glbgpt.com\/pt-br\/hub\/ai-data-privacy","title":{"rendered":"Privacidade de dados em IA: compare 121 modelos e suas pol\u00edticas"},"content":{"rendered":"<p class=\"wp-block-paragraph\">Um provedor de IA utilizar\u00e1 o documento do seu cliente, a foto do produto, a grava\u00e7\u00e3o de voz ou o projeto 3D para treinar seus modelos? A resposta depende do contrato de presta\u00e7\u00e3o de servi\u00e7os e das configura\u00e7\u00f5es de dados associadas \u00e0 solicita\u00e7\u00e3o. O fato de pagar pelo acesso, por si s\u00f3, n\u00e3o resolve essa quest\u00e3o.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Resposta r\u00e1pida:<\/strong> V\u00e1rias APIs oficiais e servi\u00e7os corporativos prometem n\u00e3o utilizar o conte\u00fado dos clientes para treinamento, \u00e0s vezes com exce\u00e7\u00f5es relacionadas ao consentimento ou ao feedback. Outros servi\u00e7os permitem o treinamento, oferecem a op\u00e7\u00e3o de recusa ou deixam partes de sua pol\u00edtica pouco claras. A promessa de n\u00e3o utilizar o conte\u00fado para treinamento n\u00e3o significa automaticamente que n\u00e3o haja armazenamento, revis\u00e3o humana ou resultados privados.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Esta compara\u00e7\u00e3o abrange <strong>121 registros de modelos e vers\u00f5es<\/strong> do diret\u00f3rio de modelos e da p\u00e1gina inicial do GlobalGPT: 64 itens de texto e multim\u00eddia, 21 de imagem, 24 de v\u00eddeo, sete de \u00e1udio e m\u00fasica e cinco itens 3D. Os modelos que compartilham uma mesma pol\u00edtica est\u00e3o agrupados nas tabelas; use o cart\u00e3o de pesquisa para localizar qualquer vers\u00e3o espec\u00edfica. Os nomes refletem o cat\u00e1logo da plataforma; eles n\u00e3o constituem uma verifica\u00e7\u00e3o independente da identidade ou do contrato de cada modelo de origem.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Se voc\u00ea usar um <a href=\"https:\/\/www.glbgpt.com\/hub\/all-in-one-ai-tools-subscription\/\">assinatura de IA com tudo inclu\u00eddo<\/a>, a pol\u00edtica da pr\u00f3pria plataforma \u00e9 outro fator que influencia a decis\u00e3o. <a href=\"https:\/\/www.glbgpt.com\/home?inviter=hub_popup&amp;login=1\">GlobalGPT<\/a> re\u00fane essas categorias em uma \u00fanica conta. As pol\u00edticas dos provedores abaixo continuam vinculadas aos servi\u00e7os especificados; isso n\u00e3o significa que todos os modelos GlobalGPT ofere\u00e7am o mesmo n\u00edvel de prote\u00e7\u00e3o corporativa.<\/p>\n\n\n\n<figure class=\"wp-block-image size-large\"><a href=\"https:\/\/www.glbgpt.com\/order?inviter=hub_blog_top_pricing&amp;login=1\"><img fetchpriority=\"high\" decoding=\"async\" width=\"1024\" height=\"640\" src=\"https:\/\/wp.glbgpt.com\/wp-content\/uploads\/2025\/10\/image-220-1024x640.png\" alt=\"Experimente agora as principais modelos de v\u00eddeo\" class=\"wp-image-17096\" srcset=\"https:\/\/wp.glbgpt.com\/wp-content\/uploads\/2025\/10\/image-220-1024x640.png 1024w, https:\/\/wp.glbgpt.com\/wp-content\/uploads\/2025\/10\/image-220-300x187.png 300w, https:\/\/wp.glbgpt.com\/wp-content\/uploads\/2025\/10\/image-220-768x480.png 768w, https:\/\/wp.glbgpt.com\/wp-content\/uploads\/2025\/10\/image-220-1536x960.png 1536w, https:\/\/wp.glbgpt.com\/wp-content\/uploads\/2025\/10\/image-220-2048x1279.png 2048w, https:\/\/wp.glbgpt.com\/wp-content\/uploads\/2025\/10\/image-220-18x12.png 18w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/><\/a><\/figure>\n\n\n\n<div class=\"wp-block-buttons is-content-justification-center is-layout-flex wp-container-core-buttons-is-layout-3e41869c wp-block-buttons-is-layout-flex\">\n<div class=\"wp-block-button\"><a class=\"wp-block-button__link has-black-color has-luminous-vivid-amber-background-color has-text-color has-background has-link-color wp-element-button\" href=\"https:\/\/www.glbgpt.com\/order?inviter=hub_blog_top_pricing&amp;login=1\">Experimente agora as principais modelos de v\u00eddeo<\/a><\/div>\n<\/div>\n\n\n\n<p class=\"note\"><strong>An\u00e1lise de pol\u00edticas e resumo do cat\u00e1logo: 11 de setembro de 2026.<\/strong> Esta \u00e9 uma compara\u00e7\u00e3o de termos publicados, n\u00e3o uma auditoria do comportamento do back-end. O servi\u00e7o, o contrato e as configura\u00e7\u00f5es reais do upstream para cada entrada do GlobalGPT n\u00e3o foram verificados. \u201cTodos os modelos\u201d significa todas as entradas neste instant\u00e2neo do cat\u00e1logo, e n\u00e3o todos os modelos de IA do mundo.<\/p>\n\n\n\n<nav aria-label=\"\u00cdndice\"><strong>Neste guia<\/strong><ul><li><a href=\"#all-models\">Todos os 121 modelos: compara\u00e7\u00e3o de privacidade<\/a><\/li><li><a href=\"#text-model-policies\">Pol\u00edticas de privacidade para modelos de IA de texto e multimodais<\/a><\/li><li><a href=\"#image-model-policies\">Pol\u00edticas de Privacidade do Gerador de Imagens por IA<\/a><\/li><li><a href=\"#video-model-policies\">Pol\u00edticas de Privacidade do Gerador de V\u00eddeos com IA<\/a><\/li><li><a href=\"#audio-model-policies\">Pol\u00edticas de Privacidade de \u00c1udio, M\u00fasica e Fala com IA<\/a><\/li><li><a href=\"#3d-model-policies\">Pol\u00edticas de Privacidade de Modelos 3D de IA<\/a><\/li><li><a href=\"#globalgpt-policy\">O que a Pol\u00edtica de Privacidade da GlobalGPT abrange<\/a><\/li><li><a href=\"#manage-ai-data\">Como gerenciar a privacidade dos seus dados de IA<\/a><\/li><li><a href=\"#faq\">Perguntas frequentes sobre privacidade de dados em IA<\/a><\/li><\/ul><\/nav>\n\n\n\n<h2 id=\"all-models\" class=\"wp-block-heading\">Todos os 121 modelos: compara\u00e7\u00e3o de privacidade<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Leia o resultado do treinamento juntamente com o escopo do servi\u00e7o. <strong>Sem treinamento por padr\u00e3o<\/strong> podem incluir exce\u00e7\u00f5es relacionadas \u00e0 ades\u00e3o volunt\u00e1ria ou ao feedback. <strong>Treinamento permitido<\/strong> descreve a permiss\u00e3o, e n\u00e3o a prova de que esse arquivo espec\u00edfico foi utilizado. <strong>Desconhecido<\/strong> significa que as evid\u00eancias aplic\u00e1veis est\u00e3o ausentes ou incompletas. Quando h\u00e1 diferen\u00e7as entre os servi\u00e7os comuns e os empresariais, ambos s\u00e3o identificados, em vez de se atribuir ao modelo um \u00fanico veredicto incondicional.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">As tabelas agrupam vers\u00f5es dentro de cada categoria quando elas compartilham as mesmas evid\u00eancias de pol\u00edtica. Expanda uma fam\u00edlia para ver todos os nomes do cat\u00e1logo ou pesquise um modelo espec\u00edfico acima das tabelas. Nenhuma linha confirma que a GlobalGPT tenha assinado o acordo empresarial mencionado.<\/p>\n\n\n\n<section id=\"model-privacy-search\" aria-labelledby=\"privacy-search-title\" style=\"padding:24px;border:1px solid #cddbe6;border-radius:16px;background:#f4f8fb;margin:24px 0\">\n<h3 id=\"privacy-search-title\" style=\"margin:0 0 8px\">Verifique a pol\u00edtica de privacidade de uma modelo<\/h3>\n<p>Pesquise todas as 121 entradas do cat\u00e1logo. Experimente Claude, DeepSeek, Seedance ou Meshy.<\/p>\n<label for=\"privacy-query\" style=\"display:block;font-weight:600\">Nome do modelo<\/label>\n<input id=\"privacy-query\" type=\"search\" placeholder=\"Digite o nome de um modelo ou de uma fam\u00edlia\u2026\" autocomplete=\"off\" aria-describedby=\"privacy-search-count\" style=\"box-sizing:border-box;width:100%;padding:14px;border:1px solid #8aa3b7;border-radius:8px;background:white;color:#202932;font:inherit\">\n<p id=\"privacy-search-count\" role=\"status\" aria-live=\"polite\" style=\"font-size:14px\">Digite um nome para localizar a pol\u00edtica correspondente. Nenhuma consulta \u00e9 enviada a um servidor.<\/p>\n<div id=\"privacy-search-results\"><\/div>\n<button id=\"privacy-search-more\" type=\"button\" hidden style=\"padding:10px 18px;border:1px solid #155c9b;border-radius:8px;background:white;color:#155c9b;font:inherit\">Mostrar mais resultados<\/button>\n<noscript><p>A pesquisa requer JavaScript. Todos os nomes dos modelos e detalhes das ap\u00f3lices tamb\u00e9m est\u00e3o dispon\u00edveis nas tabelas e se\u00e7\u00f5es abaixo.<\/p><\/noscript>\n<\/section>\n<script id=\"privacy-search-data\" type=\"application\/json\">[{\"model\": \"GPT-6 Astra\", \"category\": \"Text and multimodal\", \"policy\": \"openai-text\", \"family\": \"OpenAI GPT & reasoning\", \"trainingLabel\": \"No training by default\", \"training\": \"Official OpenAI API inputs and outputs are not used to train or improve OpenAI models unless the customer explicitly chooses to share them.\", \"retention\": \"Abuse-monitoring logs generally remain for up to 30 days, with exceptions; application state, persistent objects, and certain caching features have separate retention rules.\", \"control\": \"Check data-sharing permissions and the actual endpoint. Modified Abuse Monitoring and Zero Data Retention require eligibility and approval; neither applies automatically to every feature.\", \"scope\": \"Official OpenAI API; consumer ChatGPT and other hosting services have separate policies.\"}, {\"model\": \"GPT-5.6 Sol\", \"category\": \"Text and multimodal\", \"policy\": \"openai-text\", \"family\": \"OpenAI GPT & reasoning\", \"trainingLabel\": \"No training by default\", \"training\": \"Official OpenAI API inputs and outputs are not used to train or improve OpenAI models unless the customer explicitly chooses to share them.\", \"retention\": \"Abuse-monitoring logs generally remain for up to 30 days, with exceptions; application state, persistent objects, and certain caching features have separate retention rules.\", \"control\": \"Check data-sharing permissions and the actual endpoint. Modified Abuse Monitoring and Zero Data Retention require eligibility and approval; neither applies automatically to every feature.\", \"scope\": \"Official OpenAI API; consumer ChatGPT and other hosting services have separate policies.\"}, {\"model\": \"GPT-5.6 Terra\", \"category\": \"Text and multimodal\", \"policy\": \"openai-text\", \"family\": \"OpenAI GPT & reasoning\", \"trainingLabel\": \"No training by default\", \"training\": \"Official OpenAI API inputs and outputs are not used to train or improve OpenAI models unless the customer explicitly chooses to share them.\", \"retention\": \"Abuse-monitoring logs generally remain for up to 30 days, with exceptions; application state, persistent objects, and certain caching features have separate retention rules.\", \"control\": \"Check data-sharing permissions and the actual endpoint. Modified Abuse Monitoring and Zero Data Retention require eligibility and approval; neither applies automatically to every feature.\", \"scope\": \"Official OpenAI API; consumer ChatGPT and other hosting services have separate policies.\"}, {\"model\": \"GPT-5.6 Luna\", \"category\": \"Text and multimodal\", \"policy\": \"openai-text\", \"family\": \"OpenAI GPT & reasoning\", \"trainingLabel\": \"No training by default\", \"training\": \"Official OpenAI API inputs and outputs are not used to train or improve OpenAI models unless the customer explicitly chooses to share them.\", \"retention\": \"Abuse-monitoring logs generally remain for up to 30 days, with exceptions; application state, persistent objects, and certain caching features have separate retention rules.\", \"control\": \"Check data-sharing permissions and the actual endpoint. Modified Abuse Monitoring and Zero Data Retention require eligibility and approval; neither applies automatically to every feature.\", \"scope\": \"Official OpenAI API; consumer ChatGPT and other hosting services have separate policies.\"}, {\"model\": \"GPT-5.5\", \"category\": \"Text and multimodal\", \"policy\": \"openai-text\", \"family\": \"OpenAI GPT & reasoning\", \"trainingLabel\": \"No training by default\", \"training\": \"Official OpenAI API inputs and outputs are not used to train or improve OpenAI models unless the customer explicitly chooses to share them.\", \"retention\": \"Abuse-monitoring logs generally remain for up to 30 days, with exceptions; application state, persistent objects, and certain caching features have separate retention rules.\", \"control\": \"Check data-sharing permissions and the actual endpoint. Modified Abuse Monitoring and Zero Data Retention require eligibility and approval; neither applies automatically to every feature.\", \"scope\": \"Official OpenAI API; consumer ChatGPT and other hosting services have separate policies.\"}, {\"model\": \"GPT-5.4\", \"category\": \"Text and multimodal\", \"policy\": \"openai-text\", \"family\": \"OpenAI GPT & reasoning\", \"trainingLabel\": \"No training by default\", \"training\": \"Official OpenAI API inputs and outputs are not used to train or improve OpenAI models unless the customer explicitly chooses to share them.\", \"retention\": \"Abuse-monitoring logs generally remain for up to 30 days, with exceptions; application state, persistent objects, and certain caching features have separate retention rules.\", \"control\": \"Check data-sharing permissions and the actual endpoint. Modified Abuse Monitoring and Zero Data Retention require eligibility and approval; neither applies automatically to every feature.\", \"scope\": \"Official OpenAI API; consumer ChatGPT and other hosting services have separate policies.\"}, {\"model\": \"GPT-5.4 mini\", \"category\": \"Text and multimodal\", \"policy\": \"openai-text\", \"family\": \"OpenAI GPT & reasoning\", \"trainingLabel\": \"No training by default\", \"training\": \"Official OpenAI API inputs and outputs are not used to train or improve OpenAI models unless the customer explicitly chooses to share them.\", \"retention\": \"Abuse-monitoring logs generally remain for up to 30 days, with exceptions; application state, persistent objects, and certain caching features have separate retention rules.\", \"control\": \"Check data-sharing permissions and the actual endpoint. Modified Abuse Monitoring and Zero Data Retention require eligibility and approval; neither applies automatically to every feature.\", \"scope\": \"Official OpenAI API; consumer ChatGPT and other hosting services have separate policies.\"}, {\"model\": \"GPT-5.4 nano\", \"category\": \"Text and multimodal\", \"policy\": \"openai-text\", \"family\": \"OpenAI GPT & reasoning\", \"trainingLabel\": \"No training by default\", \"training\": \"Official OpenAI API inputs and outputs are not used to train or improve OpenAI models unless the customer explicitly chooses to share them.\", \"retention\": \"Abuse-monitoring logs generally remain for up to 30 days, with exceptions; application state, persistent objects, and certain caching features have separate retention rules.\", \"control\": \"Check data-sharing permissions and the actual endpoint. Modified Abuse Monitoring and Zero Data Retention require eligibility and approval; neither applies automatically to every feature.\", \"scope\": \"Official OpenAI API; consumer ChatGPT and other hosting services have separate policies.\"}, {\"model\": \"GPT-5.3\", \"category\": \"Text and multimodal\", \"policy\": \"openai-text\", \"family\": \"OpenAI GPT & reasoning\", \"trainingLabel\": \"No training by default\", \"training\": \"Official OpenAI API inputs and outputs are not used to train or improve OpenAI models unless the customer explicitly chooses to share them.\", \"retention\": \"Abuse-monitoring logs generally remain for up to 30 days, with exceptions; application state, persistent objects, and certain caching features have separate retention rules.\", \"control\": \"Check data-sharing permissions and the actual endpoint. Modified Abuse Monitoring and Zero Data Retention require eligibility and approval; neither applies automatically to every feature.\", \"scope\": \"Official OpenAI API; consumer ChatGPT and other hosting services have separate policies.\"}, {\"model\": \"GPT-5.2\", \"category\": \"Text and multimodal\", \"policy\": \"openai-text\", \"family\": \"OpenAI GPT & reasoning\", \"trainingLabel\": \"No training by default\", \"training\": \"Official OpenAI API inputs and outputs are not used to train or improve OpenAI models unless the customer explicitly chooses to share them.\", \"retention\": \"Abuse-monitoring logs generally remain for up to 30 days, with exceptions; application state, persistent objects, and certain caching features have separate retention rules.\", \"control\": \"Check data-sharing permissions and the actual endpoint. Modified Abuse Monitoring and Zero Data Retention require eligibility and approval; neither applies automatically to every feature.\", \"scope\": \"Official OpenAI API; consumer ChatGPT and other hosting services have separate policies.\"}, {\"model\": \"GPT-5.1\", \"category\": \"Text and multimodal\", \"policy\": \"openai-text\", \"family\": \"OpenAI GPT & reasoning\", \"trainingLabel\": \"No training by default\", \"training\": \"Official OpenAI API inputs and outputs are not used to train or improve OpenAI models unless the customer explicitly chooses to share them.\", \"retention\": \"Abuse-monitoring logs generally remain for up to 30 days, with exceptions; application state, persistent objects, and certain caching features have separate retention rules.\", \"control\": \"Check data-sharing permissions and the actual endpoint. Modified Abuse Monitoring and Zero Data Retention require eligibility and approval; neither applies automatically to every feature.\", \"scope\": \"Official OpenAI API; consumer ChatGPT and other hosting services have separate policies.\"}, {\"model\": \"GPT-5\", \"category\": \"Text and multimodal\", \"policy\": \"openai-text\", \"family\": \"OpenAI GPT & reasoning\", \"trainingLabel\": \"No training by default\", \"training\": \"Official OpenAI API inputs and outputs are not used to train or improve OpenAI models unless the customer explicitly chooses to share them.\", \"retention\": \"Abuse-monitoring logs generally remain for up to 30 days, with exceptions; application state, persistent objects, and certain caching features have separate retention rules.\", \"control\": \"Check data-sharing permissions and the actual endpoint. Modified Abuse Monitoring and Zero Data Retention require eligibility and approval; neither applies automatically to every feature.\", \"scope\": \"Official OpenAI API; consumer ChatGPT and other hosting services have separate policies.\"}, {\"model\": \"GPT-5 mini\", \"category\": \"Text and multimodal\", \"policy\": \"openai-text\", \"family\": \"OpenAI GPT & reasoning\", \"trainingLabel\": \"No training by default\", \"training\": \"Official OpenAI API inputs and outputs are not used to train or improve OpenAI models unless the customer explicitly chooses to share them.\", \"retention\": \"Abuse-monitoring logs generally remain for up to 30 days, with exceptions; application state, persistent objects, and certain caching features have separate retention rules.\", \"control\": \"Check data-sharing permissions and the actual endpoint. Modified Abuse Monitoring and Zero Data Retention require eligibility and approval; neither applies automatically to every feature.\", \"scope\": \"Official OpenAI API; consumer ChatGPT and other hosting services have separate policies.\"}, {\"model\": \"GPT-5 nano\", \"category\": \"Text and multimodal\", \"policy\": \"openai-text\", \"family\": \"OpenAI GPT & reasoning\", \"trainingLabel\": \"No training by default\", \"training\": \"Official OpenAI API inputs and outputs are not used to train or improve OpenAI models unless the customer explicitly chooses to share them.\", \"retention\": \"Abuse-monitoring logs generally remain for up to 30 days, with exceptions; application state, persistent objects, and certain caching features have separate retention rules.\", \"control\": \"Check data-sharing permissions and the actual endpoint. Modified Abuse Monitoring and Zero Data Retention require eligibility and approval; neither applies automatically to every feature.\", \"scope\": \"Official OpenAI API; consumer ChatGPT and other hosting services have separate policies.\"}, {\"model\": \"GPT-4o\", \"category\": \"Text and multimodal\", \"policy\": \"openai-text\", \"family\": \"OpenAI GPT & reasoning\", \"trainingLabel\": \"No training by default\", \"training\": \"Official OpenAI API inputs and outputs are not used to train or improve OpenAI models unless the customer explicitly chooses to share them.\", \"retention\": \"Abuse-monitoring logs generally remain for up to 30 days, with exceptions; application state, persistent objects, and certain caching features have separate retention rules.\", \"control\": \"Check data-sharing permissions and the actual endpoint. Modified Abuse Monitoring and Zero Data Retention require eligibility and approval; neither applies automatically to every feature.\", \"scope\": \"Official OpenAI API; consumer ChatGPT and other hosting services have separate policies.\"}, {\"model\": \"o1\", \"category\": \"Text and multimodal\", \"policy\": \"openai-text\", \"family\": \"OpenAI GPT & reasoning\", \"trainingLabel\": \"No training by default\", \"training\": \"Official OpenAI API inputs and outputs are not used to train or improve OpenAI models unless the customer explicitly chooses to share them.\", \"retention\": \"Abuse-monitoring logs generally remain for up to 30 days, with exceptions; application state, persistent objects, and certain caching features have separate retention rules.\", \"control\": \"Check data-sharing permissions and the actual endpoint. Modified Abuse Monitoring and Zero Data Retention require eligibility and approval; neither applies automatically to every feature.\", \"scope\": \"Official OpenAI API; consumer ChatGPT and other hosting services have separate policies.\"}, {\"model\": \"o1 mini\", \"category\": \"Text and multimodal\", \"policy\": \"openai-text\", \"family\": \"OpenAI GPT & reasoning\", \"trainingLabel\": \"No training by default\", \"training\": \"Official OpenAI API inputs and outputs are not used to train or improve OpenAI models unless the customer explicitly chooses to share them.\", \"retention\": \"Abuse-monitoring logs generally remain for up to 30 days, with exceptions; application state, persistent objects, and certain caching features have separate retention rules.\", \"control\": \"Check data-sharing permissions and the actual endpoint. Modified Abuse Monitoring and Zero Data Retention require eligibility and approval; neither applies automatically to every feature.\", \"scope\": \"Official OpenAI API; consumer ChatGPT and other hosting services have separate policies.\"}, {\"model\": \"o3\", \"category\": \"Text and multimodal\", \"policy\": \"openai-text\", \"family\": \"OpenAI GPT & reasoning\", \"trainingLabel\": \"No training by default\", \"training\": \"Official OpenAI API inputs and outputs are not used to train or improve OpenAI models unless the customer explicitly chooses to share them.\", \"retention\": \"Abuse-monitoring logs generally remain for up to 30 days, with exceptions; application state, persistent objects, and certain caching features have separate retention rules.\", \"control\": \"Check data-sharing permissions and the actual endpoint. Modified Abuse Monitoring and Zero Data Retention require eligibility and approval; neither applies automatically to every feature.\", \"scope\": \"Official OpenAI API; consumer ChatGPT and other hosting services have separate policies.\"}, {\"model\": \"o3 mini\", \"category\": \"Text and multimodal\", \"policy\": \"openai-text\", \"family\": \"OpenAI GPT & reasoning\", \"trainingLabel\": \"No training by default\", \"training\": \"Official OpenAI API inputs and outputs are not used to train or improve OpenAI models unless the customer explicitly chooses to share them.\", \"retention\": \"Abuse-monitoring logs generally remain for up to 30 days, with exceptions; application state, persistent objects, and certain caching features have separate retention rules.\", \"control\": \"Check data-sharing permissions and the actual endpoint. Modified Abuse Monitoring and Zero Data Retention require eligibility and approval; neither applies automatically to every feature.\", \"scope\": \"Official OpenAI API; consumer ChatGPT and other hosting services have separate policies.\"}, {\"model\": \"o3 Mini High\", \"category\": \"Text and multimodal\", \"policy\": \"openai-text\", \"family\": \"OpenAI GPT & reasoning\", \"trainingLabel\": \"No training by default\", \"training\": \"Official OpenAI API inputs and outputs are not used to train or improve OpenAI models unless the customer explicitly chooses to share them.\", \"retention\": \"Abuse-monitoring logs generally remain for up to 30 days, with exceptions; application state, persistent objects, and certain caching features have separate retention rules.\", \"control\": \"Check data-sharing permissions and the actual endpoint. Modified Abuse Monitoring and Zero Data Retention require eligibility and approval; neither applies automatically to every feature.\", \"scope\": \"Official OpenAI API; consumer ChatGPT and other hosting services have separate policies.\"}, {\"model\": \"o4 mini\", \"category\": \"Text and multimodal\", \"policy\": \"openai-text\", \"family\": \"OpenAI GPT & reasoning\", \"trainingLabel\": \"No training by default\", \"training\": \"Official OpenAI API inputs and outputs are not used to train or improve OpenAI models unless the customer explicitly chooses to share them.\", \"retention\": \"Abuse-monitoring logs generally remain for up to 30 days, with exceptions; application state, persistent objects, and certain caching features have separate retention rules.\", \"control\": \"Check data-sharing permissions and the actual endpoint. Modified Abuse Monitoring and Zero Data Retention require eligibility and approval; neither applies automatically to every feature.\", \"scope\": \"Official OpenAI API; consumer ChatGPT and other hosting services have separate policies.\"}, {\"model\": \"o4 Mini High\", \"category\": \"Text and multimodal\", \"policy\": \"openai-text\", \"family\": \"OpenAI GPT & reasoning\", \"trainingLabel\": \"No training by default\", \"training\": \"Official OpenAI API inputs and outputs are not used to train or improve OpenAI models unless the customer explicitly chooses to share them.\", \"retention\": \"Abuse-monitoring logs generally remain for up to 30 days, with exceptions; application state, persistent objects, and certain caching features have separate retention rules.\", \"control\": \"Check data-sharing permissions and the actual endpoint. Modified Abuse Monitoring and Zero Data Retention require eligibility and approval; neither applies automatically to every feature.\", \"scope\": \"Official OpenAI API; consumer ChatGPT and other hosting services have separate policies.\"}, {\"model\": \"Claude Fable 5.1\", \"category\": \"Text and multimodal\", \"policy\": \"anthropic\", \"family\": \"Claude\", \"trainingLabel\": \"No training by default\", \"training\": \"Anthropic does not train on commercial-product inputs or outputs by default. Explicit permission or submitted feedback can create exceptions under the applicable policy.\", \"retention\": \"A specific retention period and human-review conditions are not established in the policies reviewed for this entry; the training commitment alone does not resolve either.\", \"control\": \"Confirm commercial-service coverage and any feedback or data-sharing permissions. Consumer Claude settings do not establish the controls applied to a developer's API account.\", \"scope\": \"Anthropic commercial products and API; personal Claude services are outside this comparison.\"}, {\"model\": \"Claude Fable 5\", \"category\": \"Text and multimodal\", \"policy\": \"anthropic\", \"family\": \"Claude\", \"trainingLabel\": \"No training by default\", \"training\": \"Anthropic does not train on commercial-product inputs or outputs by default. Explicit permission or submitted feedback can create exceptions under the applicable policy.\", \"retention\": \"A specific retention period and human-review conditions are not established in the policies reviewed for this entry; the training commitment alone does not resolve either.\", \"control\": \"Confirm commercial-service coverage and any feedback or data-sharing permissions. Consumer Claude settings do not establish the controls applied to a developer's API account.\", \"scope\": \"Anthropic commercial products and API; personal Claude services are outside this comparison.\"}, {\"model\": \"Claude Opus 5\", \"category\": \"Text and multimodal\", \"policy\": \"anthropic\", \"family\": \"Claude\", \"trainingLabel\": \"No training by default\", \"training\": \"Anthropic does not train on commercial-product inputs or outputs by default. Explicit permission or submitted feedback can create exceptions under the applicable policy.\", \"retention\": \"A specific retention period and human-review conditions are not established in the policies reviewed for this entry; the training commitment alone does not resolve either.\", \"control\": \"Confirm commercial-service coverage and any feedback or data-sharing permissions. Consumer Claude settings do not establish the controls applied to a developer's API account.\", \"scope\": \"Anthropic commercial products and API; personal Claude services are outside this comparison.\"}, {\"model\": \"Claude Opus 4.8\", \"category\": \"Text and multimodal\", \"policy\": \"anthropic\", \"family\": \"Claude\", \"trainingLabel\": \"No training by default\", \"training\": \"Anthropic does not train on commercial-product inputs or outputs by default. Explicit permission or submitted feedback can create exceptions under the applicable policy.\", \"retention\": \"A specific retention period and human-review conditions are not established in the policies reviewed for this entry; the training commitment alone does not resolve either.\", \"control\": \"Confirm commercial-service coverage and any feedback or data-sharing permissions. Consumer Claude settings do not establish the controls applied to a developer's API account.\", \"scope\": \"Anthropic commercial products and API; personal Claude services are outside this comparison.\"}, {\"model\": \"Claude Opus 4.7\", \"category\": \"Text and multimodal\", \"policy\": \"anthropic\", \"family\": \"Claude\", \"trainingLabel\": \"No training by default\", \"training\": \"Anthropic does not train on commercial-product inputs or outputs by default. Explicit permission or submitted feedback can create exceptions under the applicable policy.\", \"retention\": \"A specific retention period and human-review conditions are not established in the policies reviewed for this entry; the training commitment alone does not resolve either.\", \"control\": \"Confirm commercial-service coverage and any feedback or data-sharing permissions. Consumer Claude settings do not establish the controls applied to a developer's API account.\", \"scope\": \"Anthropic commercial products and API; personal Claude services are outside this comparison.\"}, {\"model\": \"Claude Opus 4.6\", \"category\": \"Text and multimodal\", \"policy\": \"anthropic\", \"family\": \"Claude\", \"trainingLabel\": \"No training by default\", \"training\": \"Anthropic does not train on commercial-product inputs or outputs by default. Explicit permission or submitted feedback can create exceptions under the applicable policy.\", \"retention\": \"A specific retention period and human-review conditions are not established in the policies reviewed for this entry; the training commitment alone does not resolve either.\", \"control\": \"Confirm commercial-service coverage and any feedback or data-sharing permissions. Consumer Claude settings do not establish the controls applied to a developer's API account.\", \"scope\": \"Anthropic commercial products and API; personal Claude services are outside this comparison.\"}, {\"model\": \"Claude Opus 4.5\", \"category\": \"Text and multimodal\", \"policy\": \"anthropic\", \"family\": \"Claude\", \"trainingLabel\": \"No training by default\", \"training\": \"Anthropic does not train on commercial-product inputs or outputs by default. Explicit permission or submitted feedback can create exceptions under the applicable policy.\", \"retention\": \"A specific retention period and human-review conditions are not established in the policies reviewed for this entry; the training commitment alone does not resolve either.\", \"control\": \"Confirm commercial-service coverage and any feedback or data-sharing permissions. Consumer Claude settings do not establish the controls applied to a developer's API account.\", \"scope\": \"Anthropic commercial products and API; personal Claude services are outside this comparison.\"}, {\"model\": \"Claude Sonnet 5\", \"category\": \"Text and multimodal\", \"policy\": \"anthropic\", \"family\": \"Claude\", \"trainingLabel\": \"No training by default\", \"training\": \"Anthropic does not train on commercial-product inputs or outputs by default. Explicit permission or submitted feedback can create exceptions under the applicable policy.\", \"retention\": \"A specific retention period and human-review conditions are not established in the policies reviewed for this entry; the training commitment alone does not resolve either.\", \"control\": \"Confirm commercial-service coverage and any feedback or data-sharing permissions. Consumer Claude settings do not establish the controls applied to a developer's API account.\", \"scope\": \"Anthropic commercial products and API; personal Claude services are outside this comparison.\"}, {\"model\": \"Claude Sonnet 4.6\", \"category\": \"Text and multimodal\", \"policy\": \"anthropic\", \"family\": \"Claude\", \"trainingLabel\": \"No training by default\", \"training\": \"Anthropic does not train on commercial-product inputs or outputs by default. Explicit permission or submitted feedback can create exceptions under the applicable policy.\", \"retention\": \"A specific retention period and human-review conditions are not established in the policies reviewed for this entry; the training commitment alone does not resolve either.\", \"control\": \"Confirm commercial-service coverage and any feedback or data-sharing permissions. Consumer Claude settings do not establish the controls applied to a developer's API account.\", \"scope\": \"Anthropic commercial products and API; personal Claude services are outside this comparison.\"}, {\"model\": \"Claude Sonnet 4.5\", \"category\": \"Text and multimodal\", \"policy\": \"anthropic\", \"family\": \"Claude\", \"trainingLabel\": \"No training by default\", \"training\": \"Anthropic does not train on commercial-product inputs or outputs by default. Explicit permission or submitted feedback can create exceptions under the applicable policy.\", \"retention\": \"A specific retention period and human-review conditions are not established in the policies reviewed for this entry; the training commitment alone does not resolve either.\", \"control\": \"Confirm commercial-service coverage and any feedback or data-sharing permissions. Consumer Claude settings do not establish the controls applied to a developer's API account.\", \"scope\": \"Anthropic commercial products and API; personal Claude services are outside this comparison.\"}, {\"model\": \"Claude Sonnet 4\", \"category\": \"Text and multimodal\", \"policy\": \"anthropic\", \"family\": \"Claude\", \"trainingLabel\": \"No training by default\", \"training\": \"Anthropic does not train on commercial-product inputs or outputs by default. Explicit permission or submitted feedback can create exceptions under the applicable policy.\", \"retention\": \"A specific retention period and human-review conditions are not established in the policies reviewed for this entry; the training commitment alone does not resolve either.\", \"control\": \"Confirm commercial-service coverage and any feedback or data-sharing permissions. Consumer Claude settings do not establish the controls applied to a developer's API account.\", \"scope\": \"Anthropic commercial products and API; personal Claude services are outside this comparison.\"}, {\"model\": \"Claude Haiku 4.5\", \"category\": \"Text and multimodal\", \"policy\": \"anthropic\", \"family\": \"Claude\", \"trainingLabel\": \"No training by default\", \"training\": \"Anthropic does not train on commercial-product inputs or outputs by default. Explicit permission or submitted feedback can create exceptions under the applicable policy.\", \"retention\": \"A specific retention period and human-review conditions are not established in the policies reviewed for this entry; the training commitment alone does not resolve either.\", \"control\": \"Confirm commercial-service coverage and any feedback or data-sharing permissions. Consumer Claude settings do not establish the controls applied to a developer's API account.\", \"scope\": \"Anthropic commercial products and API; personal Claude services are outside this comparison.\"}, {\"model\": \"Gemini 3.8 Flash\", \"category\": \"Text and multimodal\", \"policy\": \"google-gemini\", \"family\": \"Gemini\", \"trainingLabel\": \"Depends on Google service\", \"training\": \"Paid Gemini API excludes prompts and responses from product improvement; unpaid rules differ. Vertex AI requires prior permission or instruction for model training or fine-tuning.\", \"retention\": \"Gemini API abuse monitoring specifies 55-day retention for prompts, context and outputs. This period is not a Vertex AI or GlobalGPT retention guarantee.\", \"control\": \"Verify the Google service, project billing status and regional exceptions. Abuse-monitoring data can support policy-enforcement models; a paid subscription does not establish universal zero retention.\", \"scope\": \"Gemini API Paid or Unpaid Services, and separately Google Cloud Vertex AI; consumer Gemini is not covered.\"}, {\"model\": \"Gemini 3.7 Flash\", \"category\": \"Text and multimodal\", \"policy\": \"google-gemini\", \"family\": \"Gemini\", \"trainingLabel\": \"Depends on Google service\", \"training\": \"Paid Gemini API excludes prompts and responses from product improvement; unpaid rules differ. Vertex AI requires prior permission or instruction for model training or fine-tuning.\", \"retention\": \"Gemini API abuse monitoring specifies 55-day retention for prompts, context and outputs. This period is not a Vertex AI or GlobalGPT retention guarantee.\", \"control\": \"Verify the Google service, project billing status and regional exceptions. Abuse-monitoring data can support policy-enforcement models; a paid subscription does not establish universal zero retention.\", \"scope\": \"Gemini API Paid or Unpaid Services, and separately Google Cloud Vertex AI; consumer Gemini is not covered.\"}, {\"model\": \"Gemini 3.6 Flash\", \"category\": \"Text and multimodal\", \"policy\": \"google-gemini\", \"family\": \"Gemini\", \"trainingLabel\": \"Depends on Google service\", \"training\": \"Paid Gemini API excludes prompts and responses from product improvement; unpaid rules differ. Vertex AI requires prior permission or instruction for model training or fine-tuning.\", \"retention\": \"Gemini API abuse monitoring specifies 55-day retention for prompts, context and outputs. This period is not a Vertex AI or GlobalGPT retention guarantee.\", \"control\": \"Verify the Google service, project billing status and regional exceptions. Abuse-monitoring data can support policy-enforcement models; a paid subscription does not establish universal zero retention.\", \"scope\": \"Gemini API Paid or Unpaid Services, and separately Google Cloud Vertex AI; consumer Gemini is not covered.\"}, {\"model\": \"Gemini 3.5 Flash\", \"category\": \"Text and multimodal\", \"policy\": \"google-gemini\", \"family\": \"Gemini\", \"trainingLabel\": \"Depends on Google service\", \"training\": \"Paid Gemini API excludes prompts and responses from product improvement; unpaid rules differ. Vertex AI requires prior permission or instruction for model training or fine-tuning.\", \"retention\": \"Gemini API abuse monitoring specifies 55-day retention for prompts, context and outputs. This period is not a Vertex AI or GlobalGPT retention guarantee.\", \"control\": \"Verify the Google service, project billing status and regional exceptions. Abuse-monitoring data can support policy-enforcement models; a paid subscription does not establish universal zero retention.\", \"scope\": \"Gemini API Paid or Unpaid Services, and separately Google Cloud Vertex AI; consumer Gemini is not covered.\"}, {\"model\": \"Gemini 3.5 Flash Lite\", \"category\": \"Text and multimodal\", \"policy\": \"google-gemini\", \"family\": \"Gemini\", \"trainingLabel\": \"Depends on Google service\", \"training\": \"Paid Gemini API excludes prompts and responses from product improvement; unpaid rules differ. Vertex AI requires prior permission or instruction for model training or fine-tuning.\", \"retention\": \"Gemini API abuse monitoring specifies 55-day retention for prompts, context and outputs. This period is not a Vertex AI or GlobalGPT retention guarantee.\", \"control\": \"Verify the Google service, project billing status and regional exceptions. Abuse-monitoring data can support policy-enforcement models; a paid subscription does not establish universal zero retention.\", \"scope\": \"Gemini API Paid or Unpaid Services, and separately Google Cloud Vertex AI; consumer Gemini is not covered.\"}, {\"model\": \"Gemini 3.1 Pro\", \"category\": \"Text and multimodal\", \"policy\": \"google-gemini\", \"family\": \"Gemini\", \"trainingLabel\": \"Depends on Google service\", \"training\": \"Paid Gemini API excludes prompts and responses from product improvement; unpaid rules differ. Vertex AI requires prior permission or instruction for model training or fine-tuning.\", \"retention\": \"Gemini API abuse monitoring specifies 55-day retention for prompts, context and outputs. This period is not a Vertex AI or GlobalGPT retention guarantee.\", \"control\": \"Verify the Google service, project billing status and regional exceptions. Abuse-monitoring data can support policy-enforcement models; a paid subscription does not establish universal zero retention.\", \"scope\": \"Gemini API Paid or Unpaid Services, and separately Google Cloud Vertex AI; consumer Gemini is not covered.\"}, {\"model\": \"Gemini 3.1 Flash Lite\", \"category\": \"Text and multimodal\", \"policy\": \"google-gemini\", \"family\": \"Gemini\", \"trainingLabel\": \"Depends on Google service\", \"training\": \"Paid Gemini API excludes prompts and responses from product improvement; unpaid rules differ. Vertex AI requires prior permission or instruction for model training or fine-tuning.\", \"retention\": \"Gemini API abuse monitoring specifies 55-day retention for prompts, context and outputs. This period is not a Vertex AI or GlobalGPT retention guarantee.\", \"control\": \"Verify the Google service, project billing status and regional exceptions. Abuse-monitoring data can support policy-enforcement models; a paid subscription does not establish universal zero retention.\", \"scope\": \"Gemini API Paid or Unpaid Services, and separately Google Cloud Vertex AI; consumer Gemini is not covered.\"}, {\"model\": \"Gemini 3 Pro\", \"category\": \"Text and multimodal\", \"policy\": \"google-gemini\", \"family\": \"Gemini\", \"trainingLabel\": \"Depends on Google service\", \"training\": \"Paid Gemini API excludes prompts and responses from product improvement; unpaid rules differ. Vertex AI requires prior permission or instruction for model training or fine-tuning.\", \"retention\": \"Gemini API abuse monitoring specifies 55-day retention for prompts, context and outputs. This period is not a Vertex AI or GlobalGPT retention guarantee.\", \"control\": \"Verify the Google service, project billing status and regional exceptions. Abuse-monitoring data can support policy-enforcement models; a paid subscription does not establish universal zero retention.\", \"scope\": \"Gemini API Paid or Unpaid Services, and separately Google Cloud Vertex AI; consumer Gemini is not covered.\"}, {\"model\": \"Gemini 3 Flash\", \"category\": \"Text and multimodal\", \"policy\": \"google-gemini\", \"family\": \"Gemini\", \"trainingLabel\": \"Depends on Google service\", \"training\": \"Paid Gemini API excludes prompts and responses from product improvement; unpaid rules differ. Vertex AI requires prior permission or instruction for model training or fine-tuning.\", \"retention\": \"Gemini API abuse monitoring specifies 55-day retention for prompts, context and outputs. This period is not a Vertex AI or GlobalGPT retention guarantee.\", \"control\": \"Verify the Google service, project billing status and regional exceptions. Abuse-monitoring data can support policy-enforcement models; a paid subscription does not establish universal zero retention.\", \"scope\": \"Gemini API Paid or Unpaid Services, and separately Google Cloud Vertex AI; consumer Gemini is not covered.\"}, {\"model\": \"Gemini 2.5 Pro\", \"category\": \"Text and multimodal\", \"policy\": \"google-gemini\", \"family\": \"Gemini\", \"trainingLabel\": \"Depends on Google service\", \"training\": \"Paid Gemini API excludes prompts and responses from product improvement; unpaid rules differ. Vertex AI requires prior permission or instruction for model training or fine-tuning.\", \"retention\": \"Gemini API abuse monitoring specifies 55-day retention for prompts, context and outputs. This period is not a Vertex AI or GlobalGPT retention guarantee.\", \"control\": \"Verify the Google service, project billing status and regional exceptions. Abuse-monitoring data can support policy-enforcement models; a paid subscription does not establish universal zero retention.\", \"scope\": \"Gemini API Paid or Unpaid Services, and separately Google Cloud Vertex AI; consumer Gemini is not covered.\"}, {\"model\": \"Gemini 2.5 Flash\", \"category\": \"Text and multimodal\", \"policy\": \"google-gemini\", \"family\": \"Gemini\", \"trainingLabel\": \"Depends on Google service\", \"training\": \"Paid Gemini API excludes prompts and responses from product improvement; unpaid rules differ. Vertex AI requires prior permission or instruction for model training or fine-tuning.\", \"retention\": \"Gemini API abuse monitoring specifies 55-day retention for prompts, context and outputs. This period is not a Vertex AI or GlobalGPT retention guarantee.\", \"control\": \"Verify the Google service, project billing status and regional exceptions. Abuse-monitoring data can support policy-enforcement models; a paid subscription does not establish universal zero retention.\", \"scope\": \"Gemini API Paid or Unpaid Services, and separately Google Cloud Vertex AI; consumer Gemini is not covered.\"}, {\"model\": \"Gemini Omni Flash\", \"category\": \"Text and multimodal\", \"policy\": \"google-gemini\", \"family\": \"Gemini\", \"trainingLabel\": \"Depends on Google service\", \"training\": \"Paid Gemini API excludes prompts and responses from product improvement; unpaid rules differ. Vertex AI requires prior permission or instruction for model training or fine-tuning.\", \"retention\": \"Gemini API abuse monitoring specifies 55-day retention for prompts, context and outputs. This period is not a Vertex AI or GlobalGPT retention guarantee.\", \"control\": \"Verify the Google service, project billing status and regional exceptions. Abuse-monitoring data can support policy-enforcement models; a paid subscription does not establish universal zero retention.\", \"scope\": \"Gemini API Paid or Unpaid Services, and separately Google Cloud Vertex AI; consumer Gemini is not covered.\"}, {\"model\": \"Grok 4.6\", \"category\": \"Text and multimodal\", \"policy\": \"xai\", \"family\": \"Grok\", \"trainingLabel\": \"No training without permission\", \"training\": \"xAI states that it never trains on API inputs or outputs without explicit permission. This API commitment does not establish ordinary consumer Grok's policy.\", \"retention\": \"Encrypted API requests and responses remain for 30 days for suspected-abuse auditing, then are deleted. Zero Data Retention and negotiated enterprise arrangements can change handling.\", \"control\": \"Teams can enable Zero Data Retention, subject to feature restrictions. Verify the actual team setting; image and video storage controls require particular output methods.\", \"scope\": \"Official xAI API, including documented media controls; consumer Grok has separate policies.\"}, {\"model\": \"Grok 4.3\", \"category\": \"Text and multimodal\", \"policy\": \"xai\", \"family\": \"Grok\", \"trainingLabel\": \"No training without permission\", \"training\": \"xAI states that it never trains on API inputs or outputs without explicit permission. This API commitment does not establish ordinary consumer Grok's policy.\", \"retention\": \"Encrypted API requests and responses remain for 30 days for suspected-abuse auditing, then are deleted. Zero Data Retention and negotiated enterprise arrangements can change handling.\", \"control\": \"Teams can enable Zero Data Retention, subject to feature restrictions. Verify the actual team setting; image and video storage controls require particular output methods.\", \"scope\": \"Official xAI API, including documented media controls; consumer Grok has separate policies.\"}, {\"model\": \"DeepSeek V4.1 Flash\", \"category\": \"Text and multimodal\", \"policy\": \"deepseek\", \"family\": \"DeepSeek\", \"trainingLabel\": \"Training permitted; refusal right\", \"training\": \"DeepSeek's official-service policy permits training and improvement while recognizing a right to refuse personal-data use for model training or technical optimization within its scope.\", \"retention\": \"A specific retention period, deletion schedule and human-review conditions are not established in the policies reviewed for this entry; zero retention cannot be inferred.\", \"control\": \"A personal-data refusal right is documented. A dedicated switch, its technical implementation and its effect on earlier training are not established in the policies reviewed.\", \"scope\": \"DeepSeek official-service privacy policy; downstream developer applications and their contracts are separate.\"}, {\"model\": \"DeepSeek V4 Pro\", \"category\": \"Text and multimodal\", \"policy\": \"deepseek\", \"family\": \"DeepSeek\", \"trainingLabel\": \"Training permitted; refusal right\", \"training\": \"DeepSeek's official-service policy permits training and improvement while recognizing a right to refuse personal-data use for model training or technical optimization within its scope.\", \"retention\": \"A specific retention period, deletion schedule and human-review conditions are not established in the policies reviewed for this entry; zero retention cannot be inferred.\", \"control\": \"A personal-data refusal right is documented. A dedicated switch, its technical implementation and its effect on earlier training are not established in the policies reviewed.\", \"scope\": \"DeepSeek official-service privacy policy; downstream developer applications and their contracts are separate.\"}, {\"model\": \"DeepSeek V4 Flash\", \"category\": \"Text and multimodal\", \"policy\": \"deepseek\", \"family\": \"DeepSeek\", \"trainingLabel\": \"Training permitted; refusal right\", \"training\": \"DeepSeek's official-service policy permits training and improvement while recognizing a right to refuse personal-data use for model training or technical optimization within its scope.\", \"retention\": \"A specific retention period, deletion schedule and human-review conditions are not established in the policies reviewed for this entry; zero retention cannot be inferred.\", \"control\": \"A personal-data refusal right is documented. A dedicated switch, its technical implementation and its effect on earlier training are not established in the policies reviewed.\", \"scope\": \"DeepSeek official-service privacy policy; downstream developer applications and their contracts are separate.\"}, {\"model\": \"GLM-5.3\", \"category\": \"Text and multimodal\", \"policy\": \"zai\", \"family\": \"GLM \/ Z.ai\", \"trainingLabel\": \"API excludes improvement by default\", \"training\": \"Z.ai API prompts and outputs are excluded from service development or improvement unless explicitly agreed. Personal-service terms permit broader content use for improvement.\", \"retention\": \"The API DPA says supplied and generated content is processed in real time without server storage. Other customer data can remain for service or legal purposes.\", \"control\": \"Confirm API-specific terms and the DPA apply. Personal-data objection or withdrawal rights do not establish a dedicated consumer training switch or another host's protection.\", \"scope\": \"Z.ai enterprise\/developer API and, separately, Z.ai personal services; other GLM hosts are outside these terms.\"}, {\"model\": \"GLM-5.3 Flash\", \"category\": \"Text and multimodal\", \"policy\": \"zai\", \"family\": \"GLM \/ Z.ai\", \"trainingLabel\": \"API excludes improvement by default\", \"training\": \"Z.ai API prompts and outputs are excluded from service development or improvement unless explicitly agreed. Personal-service terms permit broader content use for improvement.\", \"retention\": \"The API DPA says supplied and generated content is processed in real time without server storage. Other customer data can remain for service or legal purposes.\", \"control\": \"Confirm API-specific terms and the DPA apply. Personal-data objection or withdrawal rights do not establish a dedicated consumer training switch or another host's protection.\", \"scope\": \"Z.ai enterprise\/developer API and, separately, Z.ai personal services; other GLM hosts are outside these terms.\"}, {\"model\": \"GLM-5.2\", \"category\": \"Text and multimodal\", \"policy\": \"zai\", \"family\": \"GLM \/ Z.ai\", \"trainingLabel\": \"API excludes improvement by default\", \"training\": \"Z.ai API prompts and outputs are excluded from service development or improvement unless explicitly agreed. Personal-service terms permit broader content use for improvement.\", \"retention\": \"The API DPA says supplied and generated content is processed in real time without server storage. Other customer data can remain for service or legal purposes.\", \"control\": \"Confirm API-specific terms and the DPA apply. Personal-data objection or withdrawal rights do not establish a dedicated consumer training switch or another host's protection.\", \"scope\": \"Z.ai enterprise\/developer API and, separately, Z.ai personal services; other GLM hosts are outside these terms.\"}, {\"model\": \"GLM-5.1\", \"category\": \"Text and multimodal\", \"policy\": \"zai\", \"family\": \"GLM \/ Z.ai\", \"trainingLabel\": \"API excludes improvement by default\", \"training\": \"Z.ai API prompts and outputs are excluded from service development or improvement unless explicitly agreed. Personal-service terms permit broader content use for improvement.\", \"retention\": \"The API DPA says supplied and generated content is processed in real time without server storage. Other customer data can remain for service or legal purposes.\", \"control\": \"Confirm API-specific terms and the DPA apply. Personal-data objection or withdrawal rights do not establish a dedicated consumer training switch or another host's protection.\", \"scope\": \"Z.ai enterprise\/developer API and, separately, Z.ai personal services; other GLM hosts are outside these terms.\"}, {\"model\": \"Kimi K3\", \"category\": \"Text and multimodal\", \"policy\": \"moonshot\", \"family\": \"Kimi \/ Moonshot\", \"trainingLabel\": \"Training permitted unless agreed otherwise\", \"training\": \"Kimi OpenPlatform allows Customer Content to be used for training or improving Moonshot AI models unless a separate written agreement expressly provides otherwise.\", \"retention\": \"Account, input and payment information is retained while the account is active. Specific employees may access relevant data when business purposes require it.\", \"control\": \"Customers seeking training restrictions can contact Moonshot about enterprise arrangements or a separate written agreement. Ordinary API access does not automatically supply a no-training exemption.\", \"scope\": \"Kimi OpenPlatform ordinary API terms; separate enterprise or written agreements can restrict use.\"}, {\"model\": \"Kimi K2.6\", \"category\": \"Text and multimodal\", \"policy\": \"moonshot\", \"family\": \"Kimi \/ Moonshot\", \"trainingLabel\": \"Training permitted unless agreed otherwise\", \"training\": \"Kimi OpenPlatform allows Customer Content to be used for training or improving Moonshot AI models unless a separate written agreement expressly provides otherwise.\", \"retention\": \"Account, input and payment information is retained while the account is active. Specific employees may access relevant data when business purposes require it.\", \"control\": \"Customers seeking training restrictions can contact Moonshot about enterprise arrangements or a separate written agreement. Ordinary API access does not automatically supply a no-training exemption.\", \"scope\": \"Kimi OpenPlatform ordinary API terms; separate enterprise or written agreements can restrict use.\"}, {\"model\": \"Kimi K2.5\", \"category\": \"Text and multimodal\", \"policy\": \"moonshot\", \"family\": \"Kimi \/ Moonshot\", \"trainingLabel\": \"Training permitted unless agreed otherwise\", \"training\": \"Kimi OpenPlatform allows Customer Content to be used for training or improving Moonshot AI models unless a separate written agreement expressly provides otherwise.\", \"retention\": \"Account, input and payment information is retained while the account is active. Specific employees may access relevant data when business purposes require it.\", \"control\": \"Customers seeking training restrictions can contact Moonshot about enterprise arrangements or a separate written agreement. Ordinary API access does not automatically supply a no-training exemption.\", \"scope\": \"Kimi OpenPlatform ordinary API terms; separate enterprise or written agreements can restrict use.\"}, {\"model\": \"Moonshot v1\", \"category\": \"Text and multimodal\", \"policy\": \"moonshot\", \"family\": \"Kimi \/ Moonshot\", \"trainingLabel\": \"Training permitted unless agreed otherwise\", \"training\": \"Kimi OpenPlatform allows Customer Content to be used for training or improving Moonshot AI models unless a separate written agreement expressly provides otherwise.\", \"retention\": \"Account, input and payment information is retained while the account is active. Specific employees may access relevant data when business purposes require it.\", \"control\": \"Customers seeking training restrictions can contact Moonshot about enterprise arrangements or a separate written agreement. Ordinary API access does not automatically supply a no-training exemption.\", \"scope\": \"Kimi OpenPlatform ordinary API terms; separate enterprise or written agreements can restrict use.\"}, {\"model\": \"Qwen3.8 Max\", \"category\": \"Text and multimodal\", \"policy\": \"alibaba\", \"family\": \"Qwen\", \"trainingLabel\": \"Depends on service and plan\", \"training\": \"Mainland Bailian excludes conversation training without authorization, but Token Plan personal and Coding Plan explicitly authorize input\/output use for service improvement and model optimization.\", \"retention\": \"Model and application call data can be stored for necessary periods, without a uniform fixed deadline. Terms permit technical or human review of inputs and outputs.\", \"control\": \"For the plan exception, stopping use ends future authorization, not earlier authorized data use. Third-party API handling follows its own agreement; international terms remain separate.\", \"scope\": \"Mainland Alibaba Cloud Bailian terms; international Model Studio and third-party API services require separate assessment.\"}, {\"model\": \"Qwen3.8 Flash\", \"category\": \"Text and multimodal\", \"policy\": \"alibaba\", \"family\": \"Qwen\", \"trainingLabel\": \"Depends on service and plan\", \"training\": \"Mainland Bailian excludes conversation training without authorization, but Token Plan personal and Coding Plan explicitly authorize input\/output use for service improvement and model optimization.\", \"retention\": \"Model and application call data can be stored for necessary periods, without a uniform fixed deadline. Terms permit technical or human review of inputs and outputs.\", \"control\": \"For the plan exception, stopping use ends future authorization, not earlier authorized data use. Third-party API handling follows its own agreement; international terms remain separate.\", \"scope\": \"Mainland Alibaba Cloud Bailian terms; international Model Studio and third-party API services require separate assessment.\"}, {\"model\": \"Qwen3-30B-A3B\", \"category\": \"Text and multimodal\", \"policy\": \"alibaba\", \"family\": \"Qwen\", \"trainingLabel\": \"Depends on service and plan\", \"training\": \"Mainland Bailian excludes conversation training without authorization, but Token Plan personal and Coding Plan explicitly authorize input\/output use for service improvement and model optimization.\", \"retention\": \"Model and application call data can be stored for necessary periods, without a uniform fixed deadline. Terms permit technical or human review of inputs and outputs.\", \"control\": \"For the plan exception, stopping use ends future authorization, not earlier authorized data use. Third-party API handling follows its own agreement; international terms remain separate.\", \"scope\": \"Mainland Alibaba Cloud Bailian terms; international Model Studio and third-party API services require separate assessment.\"}, {\"model\": \"Muse Spark 1.3\", \"category\": \"Text and multimodal\", \"policy\": \"meta\", \"family\": \"Muse Spark\", \"trainingLabel\": \"Unknown\", \"training\": \"An applicable training rule for the listed Muse Spark hosted service is not established in the policies reviewed; this does not show that training occurs.\", \"retention\": \"A content retention period, deletion schedule and human-review policy are not established in the policies reviewed for the actual hosted service behind this entry.\", \"control\": \"Training opt-out, enterprise coverage and public-sharing controls are not established in the policies reviewed. An open-weight license cannot establish a hosting provider's data protection.\", \"scope\": \"Muse Spark platform listings; the exact provider mapping and hosted-service agreement are not established.\"}, {\"model\": \"Muse Spark 1.2\", \"category\": \"Text and multimodal\", \"policy\": \"meta\", \"family\": \"Muse Spark\", \"trainingLabel\": \"Unknown\", \"training\": \"An applicable training rule for the listed Muse Spark hosted service is not established in the policies reviewed; this does not show that training occurs.\", \"retention\": \"A content retention period, deletion schedule and human-review policy are not established in the policies reviewed for the actual hosted service behind this entry.\", \"control\": \"Training opt-out, enterprise coverage and public-sharing controls are not established in the policies reviewed. An open-weight license cannot establish a hosting provider's data protection.\", \"scope\": \"Muse Spark platform listings; the exact provider mapping and hosted-service agreement are not established.\"}, {\"model\": \"GPT Image 2.5\", \"category\": \"Image\", \"policy\": \"openai-image\", \"family\": \"GPT Image\", \"trainingLabel\": \"No training by default\", \"training\": \"OpenAI does not use official API prompts, reference images or generated outputs for model training unless the customer explicitly chooses to share data.\", \"retention\": \"Image endpoints specify 30-day abuse-monitoring retention and no application state, with documented exceptions. This does not establish how long a separate platform keeps generated files.\", \"control\": \"Zero Data Retention requires approval and compatible models. Check the exact image endpoint, sharing permissions and platform storage before treating an image workflow as zero retention.\", \"scope\": \"Official OpenAI image API; exact model and endpoint matter\"}, {\"model\": \"GPT Image 2\", \"category\": \"Image\", \"policy\": \"openai-image\", \"family\": \"GPT Image\", \"trainingLabel\": \"No training by default\", \"training\": \"OpenAI does not use official API prompts, reference images or generated outputs for model training unless the customer explicitly chooses to share data.\", \"retention\": \"Image endpoints specify 30-day abuse-monitoring retention and no application state, with documented exceptions. This does not establish how long a separate platform keeps generated files.\", \"control\": \"Zero Data Retention requires approval and compatible models. Check the exact image endpoint, sharing permissions and platform storage before treating an image workflow as zero retention.\", \"scope\": \"Official OpenAI image API; exact model and endpoint matter\"}, {\"model\": \"Nano Banana\", \"category\": \"Image\", \"policy\": \"google-image\", \"family\": \"Nano Banana\", \"trainingLabel\": \"Conditional no-training protection\", \"training\": \"Paid Gemini API excludes prompts and responses from product improvement; Vertex AI restricts training without permission. Unpaid services and consumer products follow different rules.\", \"retention\": \"A no-training commitment does not establish zero retention. Safety records, uploaded images, generated files and platform copies need separate retention checks for the actual service.\", \"control\": \"Confirm the exact image model, Google service and billing scope. A Nano Banana name or a paid GlobalGPT subscription alone does not establish applicable protection.\", \"scope\": \"Gemini image models and Nano Banana labels; paid Gemini API or Vertex AI coverage requires confirmation.\"}, {\"model\": \"Nano Banana 2\", \"category\": \"Image\", \"policy\": \"google-image\", \"family\": \"Nano Banana\", \"trainingLabel\": \"Conditional no-training protection\", \"training\": \"Paid Gemini API excludes prompts and responses from product improvement; Vertex AI restricts training without permission. Unpaid services and consumer products follow different rules.\", \"retention\": \"A no-training commitment does not establish zero retention. Safety records, uploaded images, generated files and platform copies need separate retention checks for the actual service.\", \"control\": \"Confirm the exact image model, Google service and billing scope. A Nano Banana name or a paid GlobalGPT subscription alone does not establish applicable protection.\", \"scope\": \"Gemini image models and Nano Banana labels; paid Gemini API or Vertex AI coverage requires confirmation.\"}, {\"model\": \"Nano Banana Pro\", \"category\": \"Image\", \"policy\": \"google-image\", \"family\": \"Nano Banana\", \"trainingLabel\": \"Conditional no-training protection\", \"training\": \"Paid Gemini API excludes prompts and responses from product improvement; Vertex AI restricts training without permission. Unpaid services and consumer products follow different rules.\", \"retention\": \"A no-training commitment does not establish zero retention. Safety records, uploaded images, generated files and platform copies need separate retention checks for the actual service.\", \"control\": \"Confirm the exact image model, Google service and billing scope. A Nano Banana name or a paid GlobalGPT subscription alone does not establish applicable protection.\", \"scope\": \"Gemini image models and Nano Banana labels; paid Gemini API or Vertex AI coverage requires confirmation.\"}, {\"model\": \"Seedream 5.0 Pro\", \"category\": \"Image\", \"policy\": \"bytedance\", \"family\": \"Seedream\", \"trainingLabel\": \"Default restriction on foundation-model training\", \"training\": \"BytePlus excludes Customer Data from underlying foundation-model training, except voluntary improvement feedback or separate consent or written agreement. This is not automatically an Ark policy.\", \"retention\": \"BytePlus permits retention needed to provide and maintain services and prevent fraud, abuse and security threats. The cited terms specify no universal fixed period.\", \"control\": \"Confirm BytePlus coverage, feedback permissions and any third-party terms. Seed Audio's service mapping remains unconfirmed; do not transfer this protection to mainland Ark by brand association.\", \"scope\": \"BytePlus AI and Model Services; mainland Ark and Seed Audio routing are not established by these terms.\"}, {\"model\": \"Seedream 5.0 Lite\", \"category\": \"Image\", \"policy\": \"bytedance\", \"family\": \"Seedream\", \"trainingLabel\": \"Default restriction on foundation-model training\", \"training\": \"BytePlus excludes Customer Data from underlying foundation-model training, except voluntary improvement feedback or separate consent or written agreement. This is not automatically an Ark policy.\", \"retention\": \"BytePlus permits retention needed to provide and maintain services and prevent fraud, abuse and security threats. The cited terms specify no universal fixed period.\", \"control\": \"Confirm BytePlus coverage, feedback permissions and any third-party terms. Seed Audio's service mapping remains unconfirmed; do not transfer this protection to mainland Ark by brand association.\", \"scope\": \"BytePlus AI and Model Services; mainland Ark and Seed Audio routing are not established by these terms.\"}, {\"model\": \"Seedream 4.5\", \"category\": \"Image\", \"policy\": \"bytedance\", \"family\": \"Seedream\", \"trainingLabel\": \"Default restriction on foundation-model training\", \"training\": \"BytePlus excludes Customer Data from underlying foundation-model training, except voluntary improvement feedback or separate consent or written agreement. This is not automatically an Ark policy.\", \"retention\": \"BytePlus permits retention needed to provide and maintain services and prevent fraud, abuse and security threats. The cited terms specify no universal fixed period.\", \"control\": \"Confirm BytePlus coverage, feedback permissions and any third-party terms. Seed Audio's service mapping remains unconfirmed; do not transfer this protection to mainland Ark by brand association.\", \"scope\": \"BytePlus AI and Model Services; mainland Ark and Seed Audio routing are not established by these terms.\"}, {\"model\": \"Ideogram 4.0\", \"category\": \"Image\", \"policy\": \"ideogram\", \"family\": \"Ideogram\", \"trainingLabel\": \"Plan-dependent protection\", \"training\": \"Ideogram's ordinary policy permits model training. Its Enterprise page excludes enterprise inputs from shared-model training, while custom training requires an opt-in; outputs need separate confirmation.\", \"retention\": \"Ordinary information is retained as reasonably necessary. Enterprise retention can be configured down to 30 minutes, but that is not a universal default or platform-wide schedule.\", \"control\": \"Private content settings control visibility to other users. Enterprise training and retention protections depend on the applicable arrangement; an ordinary-service training opt-out is not established here.\", \"scope\": \"Ordinary Ideogram services and Enterprise; API contract coverage can differ\"}, {\"model\": \"Ideogram 4.0 Turbo\", \"category\": \"Image\", \"policy\": \"ideogram\", \"family\": \"Ideogram\", \"trainingLabel\": \"Plan-dependent protection\", \"training\": \"Ideogram's ordinary policy permits model training. Its Enterprise page excludes enterprise inputs from shared-model training, while custom training requires an opt-in; outputs need separate confirmation.\", \"retention\": \"Ordinary information is retained as reasonably necessary. Enterprise retention can be configured down to 30 minutes, but that is not a universal default or platform-wide schedule.\", \"control\": \"Private content settings control visibility to other users. Enterprise training and retention protections depend on the applicable arrangement; an ordinary-service training opt-out is not established here.\", \"scope\": \"Ordinary Ideogram services and Enterprise; API contract coverage can differ\"}, {\"model\": \"Ideogram 4.0 Quality\", \"category\": \"Image\", \"policy\": \"ideogram\", \"family\": \"Ideogram\", \"trainingLabel\": \"Plan-dependent protection\", \"training\": \"Ideogram's ordinary policy permits model training. Its Enterprise page excludes enterprise inputs from shared-model training, while custom training requires an opt-in; outputs need separate confirmation.\", \"retention\": \"Ordinary information is retained as reasonably necessary. Enterprise retention can be configured down to 30 minutes, but that is not a universal default or platform-wide schedule.\", \"control\": \"Private content settings control visibility to other users. Enterprise training and retention protections depend on the applicable arrangement; an ordinary-service training opt-out is not established here.\", \"scope\": \"Ordinary Ideogram services and Enterprise; API contract coverage can differ\"}, {\"model\": \"Ideogram 3.0\", \"category\": \"Image\", \"policy\": \"ideogram\", \"family\": \"Ideogram\", \"trainingLabel\": \"Plan-dependent protection\", \"training\": \"Ideogram's ordinary policy permits model training. Its Enterprise page excludes enterprise inputs from shared-model training, while custom training requires an opt-in; outputs need separate confirmation.\", \"retention\": \"Ordinary information is retained as reasonably necessary. Enterprise retention can be configured down to 30 minutes, but that is not a universal default or platform-wide schedule.\", \"control\": \"Private content settings control visibility to other users. Enterprise training and retention protections depend on the applicable arrangement; an ordinary-service training opt-out is not established here.\", \"scope\": \"Ordinary Ideogram services and Enterprise; API contract coverage can differ\"}, {\"model\": \"Ideogram 3.0 Turbo\", \"category\": \"Image\", \"policy\": \"ideogram\", \"family\": \"Ideogram\", \"trainingLabel\": \"Plan-dependent protection\", \"training\": \"Ideogram's ordinary policy permits model training. Its Enterprise page excludes enterprise inputs from shared-model training, while custom training requires an opt-in; outputs need separate confirmation.\", \"retention\": \"Ordinary information is retained as reasonably necessary. Enterprise retention can be configured down to 30 minutes, but that is not a universal default or platform-wide schedule.\", \"control\": \"Private content settings control visibility to other users. Enterprise training and retention protections depend on the applicable arrangement; an ordinary-service training opt-out is not established here.\", \"scope\": \"Ordinary Ideogram services and Enterprise; API contract coverage can differ\"}, {\"model\": \"Ideogram 3.0 Quality\", \"category\": \"Image\", \"policy\": \"ideogram\", \"family\": \"Ideogram\", \"trainingLabel\": \"Plan-dependent protection\", \"training\": \"Ideogram's ordinary policy permits model training. Its Enterprise page excludes enterprise inputs from shared-model training, while custom training requires an opt-in; outputs need separate confirmation.\", \"retention\": \"Ordinary information is retained as reasonably necessary. Enterprise retention can be configured down to 30 minutes, but that is not a universal default or platform-wide schedule.\", \"control\": \"Private content settings control visibility to other users. Enterprise training and retention protections depend on the applicable arrangement; an ordinary-service training opt-out is not established here.\", \"scope\": \"Ordinary Ideogram services and Enterprise; API contract coverage can differ\"}, {\"model\": \"FLUX\", \"category\": \"Image\", \"policy\": \"bfl\", \"family\": \"FLUX images\", \"trainingLabel\": \"Training allowed; controls vary\", \"training\": \"Both ordinary BFL terms and FLUX API terms permit input\/output training. Enterprise options differ, and the ordinary-service opt-out cannot automatically be assumed to govern API contracts.\", \"retention\": \"BFL retains information for necessary service and legitimate business purposes without a universal fixed period. Training opt-out does not erase prior training or safety-related retained data.\", \"control\": \"Ordinary terms offer prospective FLUX training opt-out by email. Confirm its coverage under API-specific terms, beta conditions and orders before relying on it for API traffic.\", \"scope\": \"BFL ordinary services, official FLUX API and Enterprise arrangements\"}, {\"model\": \"FLUX 1.1 Pro\", \"category\": \"Image\", \"policy\": \"bfl\", \"family\": \"FLUX images\", \"trainingLabel\": \"Training allowed; controls vary\", \"training\": \"Both ordinary BFL terms and FLUX API terms permit input\/output training. Enterprise options differ, and the ordinary-service opt-out cannot automatically be assumed to govern API contracts.\", \"retention\": \"BFL retains information for necessary service and legitimate business purposes without a universal fixed period. Training opt-out does not erase prior training or safety-related retained data.\", \"control\": \"Ordinary terms offer prospective FLUX training opt-out by email. Confirm its coverage under API-specific terms, beta conditions and orders before relying on it for API traffic.\", \"scope\": \"BFL ordinary services, official FLUX API and Enterprise arrangements\"}, {\"model\": \"FLUX 1.1 Ultra\", \"category\": \"Image\", \"policy\": \"bfl\", \"family\": \"FLUX images\", \"trainingLabel\": \"Training allowed; controls vary\", \"training\": \"Both ordinary BFL terms and FLUX API terms permit input\/output training. Enterprise options differ, and the ordinary-service opt-out cannot automatically be assumed to govern API contracts.\", \"retention\": \"BFL retains information for necessary service and legitimate business purposes without a universal fixed period. Training opt-out does not erase prior training or safety-related retained data.\", \"control\": \"Ordinary terms offer prospective FLUX training opt-out by email. Confirm its coverage under API-specific terms, beta conditions and orders before relying on it for API traffic.\", \"scope\": \"BFL ordinary services, official FLUX API and Enterprise arrangements\"}, {\"model\": \"FLUX 1 Kontext\", \"category\": \"Image\", \"policy\": \"bfl\", \"family\": \"FLUX images\", \"trainingLabel\": \"Training allowed; controls vary\", \"training\": \"Both ordinary BFL terms and FLUX API terms permit input\/output training. Enterprise options differ, and the ordinary-service opt-out cannot automatically be assumed to govern API contracts.\", \"retention\": \"BFL retains information for necessary service and legitimate business purposes without a universal fixed period. Training opt-out does not erase prior training or safety-related retained data.\", \"control\": \"Ordinary terms offer prospective FLUX training opt-out by email. Confirm its coverage under API-specific terms, beta conditions and orders before relying on it for API traffic.\", \"scope\": \"BFL ordinary services, official FLUX API and Enterprise arrangements\"}, {\"model\": \"FLUX 2 Pro\", \"category\": \"Image\", \"policy\": \"bfl\", \"family\": \"FLUX images\", \"trainingLabel\": \"Training allowed; controls vary\", \"training\": \"Both ordinary BFL terms and FLUX API terms permit input\/output training. Enterprise options differ, and the ordinary-service opt-out cannot automatically be assumed to govern API contracts.\", \"retention\": \"BFL retains information for necessary service and legitimate business purposes without a universal fixed period. Training opt-out does not erase prior training or safety-related retained data.\", \"control\": \"Ordinary terms offer prospective FLUX training opt-out by email. Confirm its coverage under API-specific terms, beta conditions and orders before relying on it for API traffic.\", \"scope\": \"BFL ordinary services, official FLUX API and Enterprise arrangements\"}, {\"model\": \"Agnes Image 2.1 Flash\", \"category\": \"Image\", \"policy\": \"agnes\", \"family\": \"Agnes\", \"trainingLabel\": \"Unknown\", \"training\": \"No applicable model-specific data-processing policy has been established for Agnes. This is an evidence gap, not proof that training occurs or that content is protected.\", \"retention\": \"Input, output and safety-record retention periods have not been established for the actual service. Neither immediate deletion nor indefinite storage can be inferred from its name.\", \"control\": \"Confirm the upstream legal identity, service agreement and any training settings. Do not attribute another provider's opt-out, enterprise protection or retention controls to Agnes.\", \"scope\": \"Agnes platform label; upstream service identity and applicable agreement are unconfirmed.\"}, {\"model\": \"Midjourney (version not specified)\", \"category\": \"Image\", \"policy\": \"midjourney\", \"family\": \"Midjourney\", \"trainingLabel\": \"No-training commitment unclear\", \"training\": \"Midjourney's terms grant a broad continuing content license but do not establish an explicit no-training promise here. That license alone does not prove actual training use.\", \"retention\": \"A uniform content retention period is not established by the cited terms. The content license survives termination, so account closure does not automatically end all granted rights.\", \"control\": \"Pro and Mega Stealth provide best-efforts non-publication, not a training opt-out. Content created in shared Discord spaces remains visible to people with access to those spaces.\", \"scope\": \"Midjourney Terms of Service; third-party access arrangements require separate confirmation\"}, {\"model\": \"Sora 2\", \"category\": \"Video\", \"policy\": \"openai-video\", \"family\": \"Sora\", \"trainingLabel\": \"API no-training default\", \"training\": \"The official video API data-controls table excludes training, subject to the general API exception for explicit data-sharing opt-in. Consumer Sora requires a separate policy assessment.\", \"retention\": \"The documented workflow keeps produced video available for 48 hours, followed by 30 days for abuse monitoring. Processing data and another platform's copies are separate considerations.\", \"control\": \"The documented video endpoint is not eligible for Zero Data Retention and is blocked for MAM\/ZDR requests. Confirm the actual route rather than inheriting text-API controls.\", \"scope\": \"OpenAI \/v1\/videos data policy; this entry makes no claim about current service availability.\"}, {\"model\": \"Veo 3\", \"category\": \"Video\", \"policy\": \"google-video\", \"family\": \"Veo\", \"trainingLabel\": \"Conditional no-training protection\", \"training\": \"Vertex AI restricts training and fine-tuning without prior permission or instruction. That promise cannot automatically cover every Veo consumer product or third-party access route.\", \"retention\": \"No universal Veo retention period is established here. Reference media, generated clips, safety records and copies stored by another platform require separate checks.\", \"control\": \"Identify the exact service, account and agreement before relying on Vertex AI protection. Confirm video-specific retention controls rather than borrowing settings from a text model.\", \"scope\": \"Veo through an identified Google service; consumer and third-party access require separate assessment.\"}, {\"model\": \"Veo 3.1\", \"category\": \"Video\", \"policy\": \"google-video\", \"family\": \"Veo\", \"trainingLabel\": \"Conditional no-training protection\", \"training\": \"Vertex AI restricts training and fine-tuning without prior permission or instruction. That promise cannot automatically cover every Veo consumer product or third-party access route.\", \"retention\": \"No universal Veo retention period is established here. Reference media, generated clips, safety records and copies stored by another platform require separate checks.\", \"control\": \"Identify the exact service, account and agreement before relying on Vertex AI protection. Confirm video-specific retention controls rather than borrowing settings from a text model.\", \"scope\": \"Veo through an identified Google service; consumer and third-party access require separate assessment.\"}, {\"model\": \"Seedance 1.0 Pro\", \"category\": \"Video\", \"policy\": \"bytedance\", \"family\": \"Seedance\", \"trainingLabel\": \"Default restriction on foundation-model training\", \"training\": \"BytePlus excludes Customer Data from underlying foundation-model training, except voluntary improvement feedback or separate consent or written agreement. This is not automatically an Ark policy.\", \"retention\": \"BytePlus permits retention needed to provide and maintain services and prevent fraud, abuse and security threats. The cited terms specify no universal fixed period.\", \"control\": \"Confirm BytePlus coverage, feedback permissions and any third-party terms. Seed Audio's service mapping remains unconfirmed; do not transfer this protection to mainland Ark by brand association.\", \"scope\": \"BytePlus AI and Model Services; mainland Ark and Seed Audio routing are not established by these terms.\"}, {\"model\": \"Seedance 2.0\", \"category\": \"Video\", \"policy\": \"bytedance\", \"family\": \"Seedance\", \"trainingLabel\": \"Default restriction on foundation-model training\", \"training\": \"BytePlus excludes Customer Data from underlying foundation-model training, except voluntary improvement feedback or separate consent or written agreement. This is not automatically an Ark policy.\", \"retention\": \"BytePlus permits retention needed to provide and maintain services and prevent fraud, abuse and security threats. The cited terms specify no universal fixed period.\", \"control\": \"Confirm BytePlus coverage, feedback permissions and any third-party terms. Seed Audio's service mapping remains unconfirmed; do not transfer this protection to mainland Ark by brand association.\", \"scope\": \"BytePlus AI and Model Services; mainland Ark and Seed Audio routing are not established by these terms.\"}, {\"model\": \"Seedance 2.0 Fast\", \"category\": \"Video\", \"policy\": \"bytedance\", \"family\": \"Seedance\", \"trainingLabel\": \"Default restriction on foundation-model training\", \"training\": \"BytePlus excludes Customer Data from underlying foundation-model training, except voluntary improvement feedback or separate consent or written agreement. This is not automatically an Ark policy.\", \"retention\": \"BytePlus permits retention needed to provide and maintain services and prevent fraud, abuse and security threats. The cited terms specify no universal fixed period.\", \"control\": \"Confirm BytePlus coverage, feedback permissions and any third-party terms. Seed Audio's service mapping remains unconfirmed; do not transfer this protection to mainland Ark by brand association.\", \"scope\": \"BytePlus AI and Model Services; mainland Ark and Seed Audio routing are not established by these terms.\"}, {\"model\": \"Seedance 2.5\", \"category\": \"Video\", \"policy\": \"bytedance\", \"family\": \"Seedance\", \"trainingLabel\": \"Default restriction on foundation-model training\", \"training\": \"BytePlus excludes Customer Data from underlying foundation-model training, except voluntary improvement feedback or separate consent or written agreement. This is not automatically an Ark policy.\", \"retention\": \"BytePlus permits retention needed to provide and maintain services and prevent fraud, abuse and security threats. The cited terms specify no universal fixed period.\", \"control\": \"Confirm BytePlus coverage, feedback permissions and any third-party terms. Seed Audio's service mapping remains unconfirmed; do not transfer this protection to mainland Ark by brand association.\", \"scope\": \"BytePlus AI and Model Services; mainland Ark and Seed Audio routing are not established by these terms.\"}, {\"model\": \"Kling 2.6\", \"category\": \"Video\", \"policy\": \"kling\", \"family\": \"Kling\", \"trainingLabel\": \"Training permitted; revocation available\", \"training\": \"Kling's ordinary terms permit covered content use to create, test, improve and train AI\/ML models. Permission does not prove that any particular clip was used.\", \"retention\": \"No common content-retention or post-revocation deletion period is established by the cited clauses. Revoking permission must not be presented as immediate deletion of every copy.\", \"control\": \"Section 4.7.4 allows authorization revocation by emailing support@kling.ai. This is not a verified one-click switch, and enterprise terms require separate confirmation for the actual service.\", \"scope\": \"Kling ordinary-service terms; enterprise and platform API coverage require separate confirmation.\"}, {\"model\": \"Kling 3.0\", \"category\": \"Video\", \"policy\": \"kling\", \"family\": \"Kling\", \"trainingLabel\": \"Training permitted; revocation available\", \"training\": \"Kling's ordinary terms permit covered content use to create, test, improve and train AI\/ML models. Permission does not prove that any particular clip was used.\", \"retention\": \"No common content-retention or post-revocation deletion period is established by the cited clauses. Revoking permission must not be presented as immediate deletion of every copy.\", \"control\": \"Section 4.7.4 allows authorization revocation by emailing support@kling.ai. This is not a verified one-click switch, and enterprise terms require separate confirmation for the actual service.\", \"scope\": \"Kling ordinary-service terms; enterprise and platform API coverage require separate confirmation.\"}, {\"model\": \"Kling O1\", \"category\": \"Video\", \"policy\": \"kling\", \"family\": \"Kling\", \"trainingLabel\": \"Training permitted; revocation available\", \"training\": \"Kling's ordinary terms permit covered content use to create, test, improve and train AI\/ML models. Permission does not prove that any particular clip was used.\", \"retention\": \"No common content-retention or post-revocation deletion period is established by the cited clauses. Revoking permission must not be presented as immediate deletion of every copy.\", \"control\": \"Section 4.7.4 allows authorization revocation by emailing support@kling.ai. This is not a verified one-click switch, and enterprise terms require separate confirmation for the actual service.\", \"scope\": \"Kling ordinary-service terms; enterprise and platform API coverage require separate confirmation.\"}, {\"model\": \"Wan 2.6\", \"category\": \"Video\", \"policy\": \"alibaba\", \"family\": \"Wan\", \"trainingLabel\": \"Depends on service and plan\", \"training\": \"Mainland Bailian excludes conversation training without authorization, but Token Plan personal and Coding Plan explicitly authorize input\/output use for service improvement and model optimization.\", \"retention\": \"Model and application call data can be stored for necessary periods, without a uniform fixed deadline. Terms permit technical or human review of inputs and outputs.\", \"control\": \"For the plan exception, stopping use ends future authorization, not earlier authorized data use. Third-party API handling follows its own agreement; international terms remain separate.\", \"scope\": \"Mainland Alibaba Cloud Bailian terms; international Model Studio and third-party API services require separate assessment.\"}, {\"model\": \"Wan 2.7\", \"category\": \"Video\", \"policy\": \"alibaba\", \"family\": \"Wan\", \"trainingLabel\": \"Depends on service and plan\", \"training\": \"Mainland Bailian excludes conversation training without authorization, but Token Plan personal and Coding Plan explicitly authorize input\/output use for service improvement and model optimization.\", \"retention\": \"Model and application call data can be stored for necessary periods, without a uniform fixed deadline. Terms permit technical or human review of inputs and outputs.\", \"control\": \"For the plan exception, stopping use ends future authorization, not earlier authorized data use. Third-party API handling follows its own agreement; international terms remain separate.\", \"scope\": \"Mainland Alibaba Cloud Bailian terms; international Model Studio and third-party API services require separate assessment.\"}, {\"model\": \"Wan 3.0\", \"category\": \"Video\", \"policy\": \"alibaba\", \"family\": \"Wan\", \"trainingLabel\": \"Depends on service and plan\", \"training\": \"Mainland Bailian excludes conversation training without authorization, but Token Plan personal and Coding Plan explicitly authorize input\/output use for service improvement and model optimization.\", \"retention\": \"Model and application call data can be stored for necessary periods, without a uniform fixed deadline. Terms permit technical or human review of inputs and outputs.\", \"control\": \"For the plan exception, stopping use ends future authorization, not earlier authorized data use. Third-party API handling follows its own agreement; international terms remain separate.\", \"scope\": \"Mainland Alibaba Cloud Bailian terms; international Model Studio and third-party API services require separate assessment.\"}, {\"model\": \"Wan 3.0 Prime\", \"category\": \"Video\", \"policy\": \"alibaba\", \"family\": \"Wan\", \"trainingLabel\": \"Depends on service and plan\", \"training\": \"Mainland Bailian excludes conversation training without authorization, but Token Plan personal and Coding Plan explicitly authorize input\/output use for service improvement and model optimization.\", \"retention\": \"Model and application call data can be stored for necessary periods, without a uniform fixed deadline. Terms permit technical or human review of inputs and outputs.\", \"control\": \"For the plan exception, stopping use ends future authorization, not earlier authorized data use. Third-party API handling follows its own agreement; international terms remain separate.\", \"scope\": \"Mainland Alibaba Cloud Bailian terms; international Model Studio and third-party API services require separate assessment.\"}, {\"model\": \"Runway Gen-4 Turbo\", \"category\": \"Video\", \"policy\": \"runway\", \"family\": \"Runway\", \"trainingLabel\": \"Contract-dependent\", \"training\": \"Ordinary Runway terms permit input\/output training and improvement. Enterprise terms expressly prohibit using Customer Content as training data for the Services when that agreement applies.\", \"retention\": \"The cited training clauses do not establish a universal retention period. Inputs, generated downloads, safety records and platform copies need their own storage and deletion assessment.\", \"control\": \"Verify that the Enterprise agreement actually covers the request. Ordinary paid access is not equivalent, and a standard-service training opt-out has not been established here.\", \"scope\": \"Runway ordinary services compared with Runway Enterprise Services.\"}, {\"model\": \"Luma Ray 2 Flash\", \"category\": \"Video\", \"policy\": \"luma\", \"family\": \"Luma\", \"trainingLabel\": \"API\/Enterprise no training\", \"training\": \"Luma's ordinary free and paid web terms allow training. Its API terms exclude API input\/output training, while Enterprise provides a separate No Train Guarantee.\", \"retention\": \"No universal deletion period covers all Luma data. The 30-day post-termination input-export window is not automatic deletion; Enterprise deletion requests can still involve protected backup exceptions.\", \"control\": \"Confirm API or Enterprise coverage for no-training protection. Ordinary account deletion does not reverse rights over content already incorporated into models, systems or aggregated data.\", \"scope\": \"Ordinary Luma web services versus API and Enterprise agreements\"}, {\"model\": \"MiniMax-H3\", \"category\": \"Video\", \"policy\": \"minimax\", \"family\": \"MiniMax\", \"trainingLabel\": \"Training scope not established\", \"training\": \"MiniMax API terms allow input and generated content for service development and improvement. They do not establish a blanket training prohibition or a precise training scope here.\", \"retention\": \"Personal data may be retained as necessary, legally permitted or required for its purpose, then deleted or anonymized. No common fixed input\/output period is established.\", \"control\": \"A dedicated training opt-out has not been established. Personal-data deletion or withdrawal rights are different controls, and any separate commercial restrictions require confirmation for this account.\", \"scope\": \"MiniMax API platform terms; Hailuo consumer-service treatment is not established here.\"}, {\"model\": \"Grok Imagine\", \"category\": \"Video\", \"policy\": \"xai\", \"family\": \"Grok Imagine\", \"trainingLabel\": \"No training without permission\", \"training\": \"xAI states that it never trains on API inputs or outputs without explicit permission. This API commitment does not establish ordinary consumer Grok's policy.\", \"retention\": \"Encrypted API requests and responses remain for 30 days for suspected-abuse auditing, then are deleted. Zero Data Retention and negotiated enterprise arrangements can change handling.\", \"control\": \"Teams can enable Zero Data Retention, subject to feature restrictions. Verify the actual team setting; image and video storage controls require particular output methods.\", \"scope\": \"Official xAI API, including documented media controls; consumer Grok has separate policies.\"}, {\"model\": \"Grok Imagine 1.5\", \"category\": \"Video\", \"policy\": \"xai\", \"family\": \"Grok Imagine\", \"trainingLabel\": \"No training without permission\", \"training\": \"xAI states that it never trains on API inputs or outputs without explicit permission. This API commitment does not establish ordinary consumer Grok's policy.\", \"retention\": \"Encrypted API requests and responses remain for 30 days for suspected-abuse auditing, then are deleted. Zero Data Retention and negotiated enterprise arrangements can change handling.\", \"control\": \"Teams can enable Zero Data Retention, subject to feature restrictions. Verify the actual team setting; image and video storage controls require particular output methods.\", \"scope\": \"Official xAI API, including documented media controls; consumer Grok has separate policies.\"}, {\"model\": \"Happy Horse 1.0\", \"category\": \"Video\", \"policy\": \"happyhorse\", \"family\": \"Happy Horse\", \"trainingLabel\": \"Unknown\", \"training\": \"An applicable model-specific training policy has not been established for Happy Horse. Do not infer either permission or prohibition from the model label alone.\", \"retention\": \"No service-specific retention schedule is established for reference media, generated videos or safety records. A download link's lifetime cannot substitute for a complete deletion policy.\", \"control\": \"The actual provider agreement, training controls and enterprise exceptions need confirmation. Do not assign a supplier identity or inherit another model's privacy controls without evidence.\", \"scope\": \"Happy Horse platform entry; upstream identity and applicable data-processing terms are unconfirmed.\"}, {\"model\": \"FLUX 3 Video\", \"category\": \"Video\", \"policy\": \"flux-video\", \"family\": \"FLUX 3 Video\", \"trainingLabel\": \"Unknown\", \"training\": \"No applicable model-specific training policy is established for FLUX 3 Video. Similar branding does not justify applying Black Forest Labs image-service terms to this entry.\", \"retention\": \"The actual video service's input, output and safety-record retention periods are unconfirmed. Image-endpoint retention rules do not establish how these video requests are stored.\", \"control\": \"Identify the actual supplier and video agreement before assigning training opt-out or enterprise coverage. A shared brand word is insufficient evidence of contractual protection.\", \"scope\": \"FLUX 3 Video platform entry; supplier and service mapping remain unconfirmed.\"}, {\"model\": \"Agnes Video 2.0\", \"category\": \"Video\", \"policy\": \"agnes\", \"family\": \"Agnes\", \"trainingLabel\": \"Unknown\", \"training\": \"No applicable model-specific data-processing policy has been established for Agnes. This is an evidence gap, not proof that training occurs or that content is protected.\", \"retention\": \"Input, output and safety-record retention periods have not been established for the actual service. Neither immediate deletion nor indefinite storage can be inferred from its name.\", \"control\": \"Confirm the upstream legal identity, service agreement and any training settings. Do not attribute another provider's opt-out, enterprise protection or retention controls to Agnes.\", \"scope\": \"Agnes platform label; upstream service identity and applicable agreement are unconfirmed.\"}, {\"model\": \"Agnes Video 2.5\", \"category\": \"Video\", \"policy\": \"agnes\", \"family\": \"Agnes\", \"trainingLabel\": \"Unknown\", \"training\": \"No applicable model-specific data-processing policy has been established for Agnes. This is an evidence gap, not proof that training occurs or that content is protected.\", \"retention\": \"Input, output and safety-record retention periods have not been established for the actual service. Neither immediate deletion nor indefinite storage can be inferred from its name.\", \"control\": \"Confirm the upstream legal identity, service agreement and any training settings. Do not attribute another provider's opt-out, enterprise protection or retention controls to Agnes.\", \"scope\": \"Agnes platform label; upstream service identity and applicable agreement are unconfirmed.\"}, {\"model\": \"Agnes Video 2.5 Flash\", \"category\": \"Video\", \"policy\": \"agnes\", \"family\": \"Agnes\", \"trainingLabel\": \"Unknown\", \"training\": \"No applicable model-specific data-processing policy has been established for Agnes. This is an evidence gap, not proof that training occurs or that content is protected.\", \"retention\": \"Input, output and safety-record retention periods have not been established for the actual service. Neither immediate deletion nor indefinite storage can be inferred from its name.\", \"control\": \"Confirm the upstream legal identity, service agreement and any training settings. Do not attribute another provider's opt-out, enterprise protection or retention controls to Agnes.\", \"scope\": \"Agnes platform label; upstream service identity and applicable agreement are unconfirmed.\"}, {\"model\": \"Qwen Audio 3.0\", \"category\": \"Audio and music\", \"policy\": \"alibaba\", \"family\": \"Qwen\", \"trainingLabel\": \"Depends on service and plan\", \"training\": \"Mainland Bailian excludes conversation training without authorization, but Token Plan personal and Coding Plan explicitly authorize input\/output use for service improvement and model optimization.\", \"retention\": \"Model and application call data can be stored for necessary periods, without a uniform fixed deadline. Terms permit technical or human review of inputs and outputs.\", \"control\": \"For the plan exception, stopping use ends future authorization, not earlier authorized data use. Third-party API handling follows its own agreement; international terms remain separate.\", \"scope\": \"Mainland Alibaba Cloud Bailian terms; international Model Studio and third-party API services require separate assessment.\"}, {\"model\": \"Seed Audio 1.0\", \"category\": \"Audio and music\", \"policy\": \"bytedance\", \"family\": \"Seed Audio\", \"trainingLabel\": \"Default restriction on foundation-model training\", \"training\": \"BytePlus excludes Customer Data from underlying foundation-model training, except voluntary improvement feedback or separate consent or written agreement. This is not automatically an Ark policy.\", \"retention\": \"BytePlus permits retention needed to provide and maintain services and prevent fraud, abuse and security threats. The cited terms specify no universal fixed period.\", \"control\": \"Confirm BytePlus coverage, feedback permissions and any third-party terms. Seed Audio's service mapping remains unconfirmed; do not transfer this protection to mainland Ark by brand association.\", \"scope\": \"BytePlus AI and Model Services; mainland Ark and Seed Audio routing are not established by these terms.\"}, {\"model\": \"Eleven Music\", \"category\": \"Audio and music\", \"policy\": \"elevenlabs\", \"family\": \"ElevenLabs\", \"trainingLabel\": \"Training permitted; opt-out available\", \"training\": \"Standard ElevenLabs terms permit training-related content use and provide an opt-out. Enterprise or business-customer processing depends on the applicable agreement and Data Processing Addendum.\", \"retention\": \"Opting out does not reverse earlier content use or establish zero retention. A common fixed storage period for the platform's audio workflow has not been confirmed.\", \"control\": \"The account's Terms and Privacy > Data use menu offers training opt-out. Verify its effective setting and coverage; voice-cloning consent is a separate requirement.\", \"scope\": \"Standard ElevenLabs services; enterprise\/business processing is governed separately.\"}, {\"model\": \"Eleven Multilingual v2\", \"category\": \"Audio and music\", \"policy\": \"elevenlabs\", \"family\": \"ElevenLabs\", \"trainingLabel\": \"Training permitted; opt-out available\", \"training\": \"Standard ElevenLabs terms permit training-related content use and provide an opt-out. Enterprise or business-customer processing depends on the applicable agreement and Data Processing Addendum.\", \"retention\": \"Opting out does not reverse earlier content use or establish zero retention. A common fixed storage period for the platform's audio workflow has not been confirmed.\", \"control\": \"The account's Terms and Privacy > Data use menu offers training opt-out. Verify its effective setting and coverage; voice-cloning consent is a separate requirement.\", \"scope\": \"Standard ElevenLabs services; enterprise\/business processing is governed separately.\"}, {\"model\": \"Eleven v3\", \"category\": \"Audio and music\", \"policy\": \"elevenlabs\", \"family\": \"ElevenLabs\", \"trainingLabel\": \"Training permitted; opt-out available\", \"training\": \"Standard ElevenLabs terms permit training-related content use and provide an opt-out. Enterprise or business-customer processing depends on the applicable agreement and Data Processing Addendum.\", \"retention\": \"Opting out does not reverse earlier content use or establish zero retention. A common fixed storage period for the platform's audio workflow has not been confirmed.\", \"control\": \"The account's Terms and Privacy > Data use menu offers training opt-out. Verify its effective setting and coverage; voice-cloning consent is a separate requirement.\", \"scope\": \"Standard ElevenLabs services; enterprise\/business processing is governed separately.\"}, {\"model\": \"Mureka v9\", \"category\": \"Audio and music\", \"policy\": \"mureka\", \"family\": \"Mureka\", \"trainingLabel\": \"Unknown under current applicable terms\", \"training\": \"The current controlling terms have not been verified for this model and service. Neither a no-training guarantee nor unavoidable training should be asserted from incomplete evidence.\", \"retention\": \"No current, applicable fixed retention period has been confirmed for Mureka v9 inputs, outputs or safety records. Do not infer zero retention from account deletion.\", \"control\": \"A dedicated training opt-out and any API or enterprise exception remain unconfirmed. A general revocable content license does not establish a working training control.\", \"scope\": \"Mureka v9 platform entry; current controlling service terms and API agreement are unconfirmed.\"}, {\"model\": \"Google Lyria 3 (home entry)\", \"category\": \"Audio and music\", \"policy\": \"google-audio\", \"family\": \"Lyria\", \"trainingLabel\": \"Paid-service protection with safety exception\", \"training\": \"Paid Gemini API excludes product-improvement use of prompts and responses. Abuse-monitoring data has an exception for training models specifically used for policy enforcement.\", \"retention\": \"Gemini API abuse-monitoring documentation specifies 55 days for prompts, context and outputs. This does not establish Lyria-specific zero retention or GlobalGPT's own storage period.\", \"control\": \"Confirm paid-project status and the exact Lyria service. Do not describe the policy as banning all AI training, because policy-enforcement models are expressly excepted.\", \"scope\": \"Lyria through Gemini API; the platform's Lyria 3 label requires exact model and service mapping.\"}, {\"model\": \"Hunyuan 3D 3.1\", \"category\": \"3D\", \"policy\": \"hunyuan\", \"family\": \"Hunyuan3D\", \"trainingLabel\": \"Input protection; output unclear\", \"training\": \"Tencent Cloud excludes input content from algorithm or model development and improvement without separate consent. The cited clause does not expressly provide the same prohibition for outputs.\", \"retention\": \"Data is retained for the necessary service period, with return or deletion following instructions when processing ends. Legal and technical exceptions prevent a universal zero-retention interpretation.\", \"control\": \"Separate authorization is the stated input-use exception. Confirm Tencent Cloud contract coverage; Hunyuan's consumer website, open models and other hosts do not automatically share these terms.\", \"scope\": \"Tencent Cloud Hunyuan3D API and its incorporated large-model terms\"}, {\"model\": \"Meshy 7\", \"category\": \"3D\", \"policy\": \"meshy\", \"family\": \"Meshy\", \"trainingLabel\": \"Non-Enterprise training allowed\", \"training\": \"Meshy permits non-Enterprise inputs and outputs to train, validate, test or improve services unless the order says otherwise. Enterprise exclusion requires checking the actual contractual protection.\", \"retention\": \"Non-Enterprise API outputs expire after three days. Enterprise outputs default to indefinite retention, optionally one to 30 days; neither schedule establishes deletion of inputs, logs or training copies.\", \"control\": \"A paid private-content option does not cancel training permission. Check Enterprise or order-specific restrictions and output retention settings separately from visibility and general account deletion.\", \"scope\": \"Meshy ordinary, API and Enterprise services; order-specific exceptions\"}, {\"model\": \"Tripo h3.1\", \"category\": \"3D\", \"policy\": \"tripo\", \"family\": \"Tripo\", \"trainingLabel\": \"Paid-service no training\", \"training\": \"Tripo's paid-user terms explicitly exclude inputs and outputs from training, validation, testing or improvement of AI technology. That protection should not automatically be extended to free users.\", \"retention\": \"Tripo does not promise a common storage period. Termination may delete account content, but inputs and outputs previously shared in public areas can be retained permanently.\", \"control\": \"Confirm that the relevant paid-service terms cover the account and API route. Select content access settings separately; paid no-training protection does not automatically make assets private.\", \"scope\": \"Tripo Paid Users section; free services and access settings differ\"}, {\"model\": \"Rodin Gen-2\", \"category\": \"3D\", \"policy\": \"rodin\", \"family\": \"Rodin\", \"trainingLabel\": \"Private-output protection; gaps remain\", \"training\": \"Hyper3D restricts private Rodin outputs to account display under its terms. That narrow protection does not establish a comprehensive training prohibition covering prompts, ordinary outputs and API use.\", \"retention\": \"The privacy policy links input and feedback retention to withdrawal, deletion or deactivation, with exceptions. Separately, the API page advertises indefinite retention of generated assets.\", \"control\": \"Marking Rodin output private restricts other users' access and specified output use. Confirm prompt handling, API training terms and any Enterprise protection separately before submitting confidential references.\", \"scope\": \"Hyper3D terms, privacy policy and API-generated asset storage\"}, {\"model\": \"TRELLIS 3D\", \"category\": \"3D\", \"policy\": \"trellis\", \"family\": \"TRELLIS\", \"trainingLabel\": \"Hosting policy unknown\", \"training\": \"The TRELLIS project does not establish a shared no-training policy for every hosted deployment. Training permission depends on the service processing reference images and generated assets.\", \"retention\": \"The model project supplies no universal storage or deletion schedule for hosted requests. Reference images, meshes, textures, logs and download copies can each follow the host's rules.\", \"control\": \"Identify the hosting provider and applicable agreement, then confirm training use, deletion and access controls. Open-source availability alone provides no assurance about a hosted service's privacy.\", \"scope\": \"TRELLIS model project versus the service that runs it\"}]<\/script>\n<script>\n(() => {\n  const data = JSON.parse(document.getElementById('privacy-search-data').textContent);\n  const input = document.getElementById('privacy-query');\n  const results = document.getElementById('privacy-search-results');\n  const count = document.getElementById('privacy-search-count');\n  const more = document.getElementById('privacy-search-more');\n  let limit = 6;\n  const normalize = text => text.toLowerCase().replace(\/[^a-z0-9]+\/g, '');\n  function matchModels(query) {\n    const q = normalize(query);\n    if (!q) return [];\n    return data.filter(item => normalize(item.model + ' ' + item.family).includes(q))\n      .sort((a,b) => Number(normalize(b.model) === q) - Number(normalize(a.model) === q));\n  }\n  function element(tag, text, parent) {\n    const node = document.createElement(tag);\n    node.textContent = text;\n    if (parent) parent.appendChild(node);\n    return node;\n  }\n  function render() {\n    results.replaceChildren();\n    const query = input.value.trim();\n    const matches = matchModels(query);\n    more.hidden = matches.length <= limit;\n    if (!query) { count.textContent = 'Enter a name to find its policy. 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Showing ' + Math.min(limit, matches.length) + '.';\n    for (const item of matches.slice(0,limit)) {\n      const card = element('article', '', results);\n      card.style.cssText = 'padding:20px;background:white;border:1px solid #d8e0e7;border-radius:10px;margin:16px 0;';\n      element('h4', item.model, card).style.cssText = 'margin:0;font-size:21px;';\n      element('p', item.category + ' \u00b7 ' + item.trainingLabel, card);\n      const list = element('dl', '', card);\n      for (const [label,key] of [['Training use','training'],['Retention','retention'],['Opt-out \/ controls','control'],['Applicable service','scope']]) {\n        element('dt',label,list).style.fontWeight = '650';\n        element('dd',item[key],list).style.cssText = 'margin:2px 0 12px;';\n      }\n      element('p', 'GlobalGPT contract and settings: not verified. Policy evidence reviewed September 11, 2026.', card).style.cssText = 'font-size:14px;color:#526372;';\n      element('a','Read the full policy details and sources',card).href = '#policy-' + item.policy;\n    }\n  }\n  input.addEventListener('input', () => { limit = 6; render(); });\n  more.addEventListener('click', () => { limit += 6; render(); });\n})();\n<\/script>\n\n\n\n<div class=\"table-wrap\" style=\"overflow-x:auto\"><table style=\"width:100%;border-collapse:collapse\"><caption>Texto e multimodal: 64 modelos em 9 grupos de pol\u00edticas<\/caption><thead><tr><th scope=\"col\" style=\"background:#233b50!important;color:#fff!important;padding:12px;text-align:left;border:1px solid #d8e0e7\">Fam\u00edlia de modelos \/ vers\u00f5es<\/th><th scope=\"col\" style=\"background:#233b50!important;color:#fff!important;padding:12px;text-align:left;border:1px solid #d8e0e7\">Vaga de treinamento publicada<\/th><th scope=\"col\" style=\"background:#233b50!important;color:#fff!important;padding:12px;text-align:left;border:1px solid #d8e0e7\">Escopo do servi\u00e7o \u2014 aplicabilidade do GlobalGPT n\u00e3o verificada<\/th><\/tr><\/thead><tbody><tr data-policy-group=\"openai-text\"><td style=\"padding:12px;vertical-align:top;border:1px solid #d8e0e7;background:#fff!important;color:#202932!important\"><a href=\"#policy-openai-text\"><strong>OpenAI GPT e racioc\u00ednio<\/strong><\/a><details><summary style=\"cursor:pointer;margin-top:8px\">22 modelos<\/summary><ul style=\"padding-left:18px\"><li id=\"model-001\" data-model=\"GPT-6 Astra\"><a href=\"#policy-openai-text\">GPT-6 Astra<\/a><\/li><li id=\"model-002\" data-model=\"GPT-5.6 Sol\"><a href=\"#policy-openai-text\">GPT-5.6 Sol<\/a><\/li><li id=\"model-003\" data-model=\"GPT-5.6 Terra\"><a href=\"#policy-openai-text\">GPT-5.6 Terra<\/a><\/li><li id=\"model-004\" data-model=\"GPT-5.6 Luna\"><a href=\"#policy-openai-text\">GPT-5.6 Luna<\/a><\/li><li id=\"model-005\" data-model=\"GPT-5.5\"><a href=\"#policy-openai-text\">GPT-5.5<\/a><\/li><li id=\"model-006\" data-model=\"GPT-5.4\"><a href=\"#policy-openai-text\">GPT-5.4<\/a><\/li><li id=\"model-007\" data-model=\"GPT-5.4 mini\"><a href=\"#policy-openai-text\">GPT-5.4 mini<\/a><\/li><li id=\"model-008\" data-model=\"GPT-5.4 nano\"><a href=\"#policy-openai-text\">GPT-5.4 nano<\/a><\/li><li id=\"model-009\" data-model=\"GPT-5.3\"><a href=\"#policy-openai-text\">GPT-5.3<\/a><\/li><li id=\"model-010\" data-model=\"GPT-5.2\"><a href=\"#policy-openai-text\">GPT-5.2<\/a><\/li><li id=\"model-011\" data-model=\"GPT-5.1\"><a href=\"#policy-openai-text\">GPT-5.1<\/a><\/li><li id=\"model-012\" data-model=\"GPT-5\"><a href=\"#policy-openai-text\">GPT-5<\/a><\/li><li id=\"model-013\" data-model=\"GPT-5 mini\"><a href=\"#policy-openai-text\">GPT-5 mini<\/a><\/li><li id=\"model-014\" data-model=\"GPT-5 nano\"><a href=\"#policy-openai-text\">GPT-5 nano<\/a><\/li><li id=\"model-015\" data-model=\"GPT-4o\"><a href=\"#policy-openai-text\">GPT-4o<\/a><\/li><li id=\"model-016\" data-model=\"o1\"><a href=\"#policy-openai-text\">o1<\/a><\/li><li id=\"model-017\" data-model=\"o1 mini\"><a href=\"#policy-openai-text\">o1 mini<\/a><\/li><li id=\"model-018\" data-model=\"o3\"><a href=\"#policy-openai-text\">o3<\/a><\/li><li id=\"model-019\" data-model=\"o3 mini\"><a href=\"#policy-openai-text\">o3 mini<\/a><\/li><li id=\"model-020\" data-model=\"o3 Mini High\"><a href=\"#policy-openai-text\">o3 Mini High<\/a><\/li><li id=\"model-021\" data-model=\"o4 mini\"><a href=\"#policy-openai-text\">o4 mini<\/a><\/li><li id=\"model-022\" data-model=\"o4 Mini High\"><a href=\"#policy-openai-text\">o4 Mini High<\/a><\/li><\/ul><\/details><\/td><td style=\"padding:12px;vertical-align:top;border:1px solid #d8e0e7;background:#fff!important;color:#202932!important\">Sem treinamento por padr\u00e3o<\/td><td style=\"padding:12px;vertical-align:top;border:1px solid #d8e0e7;background:#fff!important;color:#202932!important\">API oficial OpenAI; o servi\u00e7o ChatGPT para consumidores e outros servi\u00e7os de hospedagem t\u00eam pol\u00edticas distintas.<\/td><\/tr><tr data-policy-group=\"anthropic\"><td style=\"padding:12px;vertical-align:top;border:1px solid #d8e0e7;background:#fff!important;color:#202932!important\"><a href=\"#policy-anthropic\"><strong>Claude<\/strong><\/a><details><summary style=\"cursor:pointer;margin-top:8px\">12 modelos<\/summary><ul style=\"padding-left:18px\"><li id=\"model-023\" data-model=\"Claude Fable 5.1\"><a href=\"#policy-anthropic\">Claude Fable 5.1<\/a><\/li><li id=\"model-024\" data-model=\"Claude Fable 5\"><a href=\"#policy-anthropic\">Claude Fable 5<\/a><\/li><li id=\"model-025\" data-model=\"Claude Opus 5\"><a href=\"#policy-anthropic\">Claude Opus 5<\/a><\/li><li id=\"model-026\" data-model=\"Claude Opus 4.8\"><a href=\"#policy-anthropic\">Claude Opus 4.8<\/a><\/li><li id=\"model-027\" data-model=\"Claude Opus 4.7\"><a href=\"#policy-anthropic\">Claude Opus 4.7<\/a><\/li><li id=\"model-028\" data-model=\"Claude Opus 4.6\"><a href=\"#policy-anthropic\">Claude Opus 4.6<\/a><\/li><li id=\"model-029\" data-model=\"Claude Opus 4.5\"><a href=\"#policy-anthropic\">Claude Opus 4.5<\/a><\/li><li id=\"model-030\" data-model=\"Claude Sonnet 5\"><a href=\"#policy-anthropic\">Claude Soneto 5<\/a><\/li><li id=\"model-031\" data-model=\"Claude Sonnet 4.6\"><a href=\"#policy-anthropic\">Soneto de Claude 4.6<\/a><\/li><li id=\"model-032\" data-model=\"Claude Sonnet 4.5\"><a href=\"#policy-anthropic\">Claude Sonnet 4.5<\/a><\/li><li id=\"model-033\" data-model=\"Claude Sonnet 4\"><a href=\"#policy-anthropic\">Claude Soneto 4<\/a><\/li><li id=\"model-034\" data-model=\"Claude Haiku 4.5\"><a href=\"#policy-anthropic\">Claude Haiku 4.5<\/a><\/li><\/ul><\/details><\/td><td style=\"padding:12px;vertical-align:top;border:1px solid #d8e0e7;background:#fff!important;color:#202932!important\">Sem treinamento por padr\u00e3o<\/td><td style=\"padding:12px;vertical-align:top;border:1px solid #d8e0e7;background:#fff!important;color:#202932!important\">Produtos comerciais Anthropic e API; os servi\u00e7os pessoais Claude n\u00e3o fazem parte desta compara\u00e7\u00e3o.<\/td><\/tr><tr data-policy-group=\"google-gemini\"><td style=\"padding:12px;vertical-align:top;border:1px solid #d8e0e7;background:#fff!important;color:#202932!important\"><a href=\"#policy-google-gemini\"><strong>G\u00eameos<\/strong><\/a><details><summary style=\"cursor:pointer;margin-top:8px\">12 modelos<\/summary><ul style=\"padding-left:18px\"><li id=\"model-035\" data-model=\"Gemini 3.8 Flash\"><a href=\"#policy-google-gemini\">Gemini 3,8 Flash<\/a><\/li><li id=\"model-036\" data-model=\"Gemini 3.7 Flash\"><a href=\"#policy-google-gemini\">Gemini 3.7 Flash<\/a><\/li><li id=\"model-037\" data-model=\"Gemini 3.6 Flash\"><a href=\"#policy-google-gemini\">Gemini 3,6 Flash<\/a><\/li><li id=\"model-038\" data-model=\"Gemini 3.5 Flash\"><a href=\"#policy-google-gemini\">Gemini 3.5 Flash<\/a><\/li><li id=\"model-039\" data-model=\"Gemini 3.5 Flash Lite\"><a href=\"#policy-google-gemini\">Gemini 3.5 Flash Lite<\/a><\/li><li id=\"model-040\" data-model=\"Gemini 3.1 Pro\"><a href=\"#policy-google-gemini\">Gemini 3.1 Pro<\/a><\/li><li id=\"model-041\" data-model=\"Gemini 3.1 Flash Lite\"><a href=\"#policy-google-gemini\">Gemini 3.1 Flash Lite<\/a><\/li><li id=\"model-042\" data-model=\"Gemini 3 Pro\"><a href=\"#policy-google-gemini\">Gemini 3 Pro<\/a><\/li><li id=\"model-043\" data-model=\"Gemini 3 Flash\"><a href=\"#policy-google-gemini\">Gemini 3 Flash<\/a><\/li><li id=\"model-044\" data-model=\"Gemini 2.5 Pro\"><a href=\"#policy-google-gemini\">Gemini 2.5 Pro<\/a><\/li><li id=\"model-045\" data-model=\"Gemini 2.5 Flash\"><a href=\"#policy-google-gemini\">Gemini 2.5 Flash<\/a><\/li><li id=\"model-046\" data-model=\"Gemini Omni Flash\"><a href=\"#policy-google-gemini\">Gemini Omni Flash<\/a><\/li><\/ul><\/details><\/td><td style=\"padding:12px;vertical-align:top;border:1px solid #d8e0e7;background:#fff!important;color:#202932!important\">Depende do servi\u00e7o do Google<\/td><td style=\"padding:12px;vertical-align:top;border:1px solid #d8e0e7;background:#fff!important;color:#202932!important\">Servi\u00e7os pagos ou gratuitos da API Gemini e, separadamente, o Google Cloud Vertex AI; o Gemini para consumidores n\u00e3o est\u00e1 coberto.<\/td><\/tr><tr data-policy-group=\"xai\"><td style=\"padding:12px;vertical-align:top;border:1px solid #d8e0e7;background:#fff!important;color:#202932!important\"><a href=\"#policy-xai\"><strong>Grok<\/strong><\/a><details><summary style=\"cursor:pointer;margin-top:8px\">2 modelos<\/summary><ul style=\"padding-left:18px\"><li id=\"model-047\" data-model=\"Grok 4.6\"><a href=\"#policy-xai\">Grok 4,6<\/a><\/li><li id=\"model-048\" data-model=\"Grok 4.3\"><a href=\"#policy-xai\">Grok 4.3<\/a><\/li><\/ul><\/details><\/td><td style=\"padding:12px;vertical-align:top;border:1px solid #d8e0e7;background:#fff!important;color:#202932!important\">N\u00e3o \u00e9 permitido treinar sem autoriza\u00e7\u00e3o<\/td><td style=\"padding:12px;vertical-align:top;border:1px solid #d8e0e7;background:#fff!important;color:#202932!important\">API oficial do xAI, incluindo controles de m\u00eddia documentados; o consumidor Grok possui pol\u00edticas distintas.<\/td><\/tr><tr data-policy-group=\"deepseek\"><td style=\"padding:12px;vertical-align:top;border:1px solid #d8e0e7;background:#fff!important;color:#202932!important\"><a href=\"#policy-deepseek\"><strong>DeepSeek<\/strong><\/a><details><summary style=\"cursor:pointer;margin-top:8px\">3 modelos<\/summary><ul style=\"padding-left:18px\"><li id=\"model-049\" data-model=\"DeepSeek V4.1 Flash\"><a href=\"#policy-deepseek\">DeepSeek V4.1 Flash<\/a><\/li><li id=\"model-050\" data-model=\"DeepSeek V4 Pro\"><a href=\"#policy-deepseek\">DeepSeek V4 Pro<\/a><\/li><li id=\"model-051\" data-model=\"DeepSeek V4 Flash\"><a href=\"#policy-deepseek\">DeepSeek V4 Flash<\/a><\/li><\/ul><\/details><\/td><td style=\"padding:12px;vertical-align:top;border:1px solid #d8e0e7;background:#fff!important;color:#202932!important\">Treinamento permitido; direito de recusa<\/td><td style=\"padding:12px;vertical-align:top;border:1px solid #d8e0e7;background:#fff!important;color:#202932!important\">Pol\u00edtica de privacidade do servi\u00e7o oficial DeepSeek; os aplicativos de desenvolvedores terceirizados e seus contratos s\u00e3o independentes.<\/td><\/tr><tr data-policy-group=\"zai\"><td style=\"padding:12px;vertical-align:top;border:1px solid #d8e0e7;background:#fff!important;color:#202932!important\"><a href=\"#policy-zai\"><strong>GLM \/ Z.ai<\/strong><\/a><details><summary style=\"cursor:pointer;margin-top:8px\">4 modelos<\/summary><ul style=\"padding-left:18px\"><li id=\"model-052\" data-model=\"GLM-5.3\"><a href=\"#policy-zai\">GLM-5.3<\/a><\/li><li id=\"model-053\" data-model=\"GLM-5.3 Flash\"><a href=\"#policy-zai\">GLM-5.3 Flash<\/a><\/li><li id=\"model-054\" data-model=\"GLM-5.2\"><a href=\"#policy-zai\">GLM-5.2<\/a><\/li><li id=\"model-055\" data-model=\"GLM-5.1\"><a href=\"#policy-zai\">GLM-5.1<\/a><\/li><\/ul><\/details><\/td><td style=\"padding:12px;vertical-align:top;border:1px solid #d8e0e7;background:#fff!important;color:#202932!important\">Por padr\u00e3o, a API exclui melhorias<\/td><td style=\"padding:12px;vertical-align:top;border:1px solid #d8e0e7;background:#fff!important;color:#202932!important\">A API empresarial\/para desenvolvedores da Z.ai e, separadamente, os servi\u00e7os pessoais da Z.ai; outros provedores de GLM n\u00e3o est\u00e3o sujeitos a estes termos.<\/td><\/tr><tr data-policy-group=\"moonshot\"><td style=\"padding:12px;vertical-align:top;border:1px solid #d8e0e7;background:#fff!important;color:#202932!important\"><a href=\"#policy-moonshot\"><strong>Kimi \/ Moonshot<\/strong><\/a><details><summary style=\"cursor:pointer;margin-top:8px\">4 modelos<\/summary><ul style=\"padding-left:18px\"><li id=\"model-056\" data-model=\"Kimi K3\"><a href=\"#policy-moonshot\">Kimi K3<\/a><\/li><li id=\"model-057\" data-model=\"Kimi K2.6\"><a href=\"#policy-moonshot\">Kimi K2.6<\/a><\/li><li id=\"model-058\" data-model=\"Kimi K2.5\"><a href=\"#policy-moonshot\">Kimi K2.5<\/a><\/li><li id=\"model-059\" data-model=\"Moonshot v1\"><a href=\"#policy-moonshot\">Moonshot v1<\/a><\/li><\/ul><\/details><\/td><td style=\"padding:12px;vertical-align:top;border:1px solid #d8e0e7;background:#fff!important;color:#202932!important\">O treinamento \u00e9 permitido, salvo acordo em contr\u00e1rio<\/td><td style=\"padding:12px;vertical-align:top;border:1px solid #d8e0e7;background:#fff!important;color:#202932!important\">Termos padr\u00e3o da API da Kimi OpenPlatform; acordos empresariais ou por escrito podem restringir o uso.<\/td><\/tr><tr data-policy-group=\"alibaba\"><td style=\"padding:12px;vertical-align:top;border:1px solid #d8e0e7;background:#fff!important;color:#202932!important\"><a href=\"#policy-alibaba\"><strong>Qwen<\/strong><\/a><details><summary style=\"cursor:pointer;margin-top:8px\">3 modelos<\/summary><ul style=\"padding-left:18px\"><li id=\"model-060\" data-model=\"Qwen3.8 Max\"><a href=\"#policy-alibaba\">Qwen3.8 M\u00e1x.<\/a><\/li><li id=\"model-061\" data-model=\"Qwen3.8 Flash\"><a href=\"#policy-alibaba\">Qwen3.8 Flash<\/a><\/li><li id=\"model-062\" data-model=\"Qwen3-30B-A3B\"><a href=\"#policy-alibaba\">Qwen3-30B-A3B<\/a><\/li><\/ul><\/details><\/td><td style=\"padding:12px;vertical-align:top;border:1px solid #d8e0e7;background:#fff!important;color:#202932!important\">Depende do servi\u00e7o e do plano<\/td><td style=\"padding:12px;vertical-align:top;border:1px solid #d8e0e7;background:#fff!important;color:#202932!important\">Termos do Alibaba Cloud Bailian na China continental; o Model Studio internacional e os servi\u00e7os de API de terceiros exigem uma avalia\u00e7\u00e3o separada.<\/td><\/tr><tr data-policy-group=\"meta\"><td style=\"padding:12px;vertical-align:top;border:1px solid #d8e0e7;background:#fff!important;color:#202932!important\"><a href=\"#policy-meta\"><strong>Muse Spark<\/strong><\/a><details><summary style=\"cursor:pointer;margin-top:8px\">2 modelos<\/summary><ul style=\"padding-left:18px\"><li id=\"model-063\" data-model=\"Muse Spark 1.3\"><a href=\"#policy-meta\">Muse Spark 1.3<\/a><\/li><li id=\"model-064\" data-model=\"Muse Spark 1.2\"><a href=\"#policy-meta\">Muse Spark 1.2<\/a><\/li><\/ul><\/details><\/td><td style=\"padding:12px;vertical-align:top;border:1px solid #d8e0e7;background:#fff!important;color:#202932!important\">Desconhecido<\/td><td style=\"padding:12px;vertical-align:top;border:1px solid #d8e0e7;background:#fff!important;color:#202932!important\">Listagens da plataforma Muse Spark; o mapeamento exato dos provedores e o contrato de servi\u00e7o hospedado ainda n\u00e3o foram definidos.<\/td><\/tr><\/tbody><\/table><\/div>\n\n\n\n<div class=\"table-wrap\" style=\"overflow-x:auto\"><table style=\"width:100%;border-collapse:collapse\"><caption>Imagem: 21 modelos em 7 grupos de pol\u00edticas<\/caption><thead><tr><th scope=\"col\" style=\"background:#233b50!important;color:#fff!important;padding:12px;text-align:left;border:1px solid #d8e0e7\">Fam\u00edlia de modelos \/ vers\u00f5es<\/th><th scope=\"col\" style=\"background:#233b50!important;color:#fff!important;padding:12px;text-align:left;border:1px solid #d8e0e7\">Vaga de treinamento publicada<\/th><th scope=\"col\" style=\"background:#233b50!important;color:#fff!important;padding:12px;text-align:left;border:1px solid #d8e0e7\">Escopo do servi\u00e7o \u2014 aplicabilidade do GlobalGPT n\u00e3o verificada<\/th><\/tr><\/thead><tbody><tr data-policy-group=\"openai-image\"><td style=\"padding:12px;vertical-align:top;border:1px solid #d8e0e7;background:#fff!important;color:#202932!important\"><a href=\"#policy-openai-image\"><strong>Imagem GPT<\/strong><\/a><details><summary style=\"cursor:pointer;margin-top:8px\">2 modelos<\/summary><ul style=\"padding-left:18px\"><li id=\"model-065\" data-model=\"GPT Image 2.5\"><a href=\"#policy-openai-image\">GPT Image 2.5<\/a><\/li><li id=\"model-066\" data-model=\"GPT Image 2\"><a href=\"#policy-openai-image\">Imagem GPT 2<\/a><\/li><\/ul><\/details><\/td><td style=\"padding:12px;vertical-align:top;border:1px solid #d8e0e7;background:#fff!important;color:#202932!important\">Sem treinamento por padr\u00e3o<\/td><td style=\"padding:12px;vertical-align:top;border:1px solid #d8e0e7;background:#fff!important;color:#202932!important\">API oficial de imagens OpenAI; o modelo exato e o endpoint s\u00e3o importantes<\/td><\/tr><tr data-policy-group=\"google-image\"><td style=\"padding:12px;vertical-align:top;border:1px solid #d8e0e7;background:#fff!important;color:#202932!important\"><a href=\"#policy-google-image\"><strong>Nano Banana<\/strong><\/a><details><summary style=\"cursor:pointer;margin-top:8px\">3 modelos<\/summary><ul style=\"padding-left:18px\"><li id=\"model-067\" data-model=\"Nano Banana\"><a href=\"#policy-google-image\">Nano Banana<\/a><\/li><li id=\"model-068\" data-model=\"Nano Banana 2\"><a href=\"#policy-google-image\">Nano Banana 2<\/a><\/li><li id=\"model-069\" data-model=\"Nano Banana Pro\"><a href=\"#policy-google-image\">Nano Banana Pro<\/a><\/li><\/ul><\/details><\/td><td style=\"padding:12px;vertical-align:top;border:1px solid #d8e0e7;background:#fff!important;color:#202932!important\">Prote\u00e7\u00e3o condicional sem treinamento<\/td><td style=\"padding:12px;vertical-align:top;border:1px solid #d8e0e7;background:#fff!important;color:#202932!important\">Modelos de imagem Gemini e r\u00f3tulos Nano Banana; a cobertura paga da API Gemini ou do Vertex AI requer confirma\u00e7\u00e3o.<\/td><\/tr><tr data-policy-group=\"bytedance\"><td style=\"padding:12px;vertical-align:top;border:1px solid #d8e0e7;background:#fff!important;color:#202932!important\"><a href=\"#policy-bytedance\"><strong>Seedream<\/strong><\/a><details><summary style=\"cursor:pointer;margin-top:8px\">3 modelos<\/summary><ul style=\"padding-left:18px\"><li id=\"model-070\" data-model=\"Seedream 5.0 Pro\"><a href=\"#policy-bytedance\">Seedream 5.0 Pro<\/a><\/li><li id=\"model-071\" data-model=\"Seedream 5.0 Lite\"><a href=\"#policy-bytedance\">Seedream 5.0 Lite<\/a><\/li><li id=\"model-072\" data-model=\"Seedream 4.5\"><a href=\"#policy-bytedance\">Seedream 4.5<\/a><\/li><\/ul><\/details><\/td><td style=\"padding:12px;vertical-align:top;border:1px solid #d8e0e7;background:#fff!important;color:#202932!important\">Restri\u00e7\u00e3o padr\u00e3o no treinamento de modelos de base<\/td><td style=\"padding:12px;vertical-align:top;border:1px solid #d8e0e7;background:#fff!important;color:#202932!important\">Os servi\u00e7os BytePlus AI e Model; o roteamento do Ark continental e do Seed Audio n\u00e3o s\u00e3o regidos por estes termos.<\/td><\/tr><tr data-policy-group=\"ideogram\"><td style=\"padding:12px;vertical-align:top;border:1px solid #d8e0e7;background:#fff!important;color:#202932!important\"><a href=\"#policy-ideogram\"><strong>Ideograma<\/strong><\/a><details><summary style=\"cursor:pointer;margin-top:8px\">6 modelos<\/summary><ul style=\"padding-left:18px\"><li id=\"model-073\" data-model=\"Ideogram 4.0\"><a href=\"#policy-ideogram\">Ideograma 4.0<\/a><\/li><li id=\"model-074\" data-model=\"Ideogram 4.0 Turbo\"><a href=\"#policy-ideogram\">Ideogram 4.0 Turbo<\/a><\/li><li id=\"model-075\" data-model=\"Ideogram 4.0 Quality\"><a href=\"#policy-ideogram\">Ideogram 4.0 Qualidade<\/a><\/li><li id=\"model-076\" data-model=\"Ideogram 3.0\"><a href=\"#policy-ideogram\">Ideograma 3.0<\/a><\/li><li id=\"model-077\" data-model=\"Ideogram 3.0 Turbo\"><a href=\"#policy-ideogram\">Ideogram 3.0 Turbo<\/a><\/li><li id=\"model-078\" data-model=\"Ideogram 3.0 Quality\"><a href=\"#policy-ideogram\">Qualidade do Ideogram 3.0<\/a><\/li><\/ul><\/details><\/td><td style=\"padding:12px;vertical-align:top;border:1px solid #d8e0e7;background:#fff!important;color:#202932!important\">Prote\u00e7\u00e3o dependente do plano<\/td><td style=\"padding:12px;vertical-align:top;border:1px solid #d8e0e7;background:#fff!important;color:#202932!important\">Servi\u00e7os do Ideogram para usu\u00e1rios comuns e para empresas; a cobertura do contrato de API pode variar<\/td><\/tr><tr data-policy-group=\"bfl\"><td style=\"padding:12px;vertical-align:top;border:1px solid #d8e0e7;background:#fff!important;color:#202932!important\"><a href=\"#policy-bfl\"><strong>Imagens do FLUX<\/strong><\/a><details><summary style=\"cursor:pointer;margin-top:8px\">5 modelos<\/summary><ul style=\"padding-left:18px\"><li id=\"model-079\" data-model=\"FLUX\"><a href=\"#policy-bfl\">FLUXO<\/a><\/li><li id=\"model-080\" data-model=\"FLUX 1.1 Pro\"><a href=\"#policy-bfl\">FLUX 1.1 Pro<\/a><\/li><li id=\"model-081\" data-model=\"FLUX 1.1 Ultra\"><a href=\"#policy-bfl\">FLUX 1.1 Ultra<\/a><\/li><li id=\"model-082\" data-model=\"FLUX 1 Kontext\"><a href=\"#policy-bfl\">FLUX 1 Contexto<\/a><\/li><li id=\"model-083\" data-model=\"FLUX 2 Pro\"><a href=\"#policy-bfl\">FLUX 2 Pro<\/a><\/li><\/ul><\/details><\/td><td style=\"padding:12px;vertical-align:top;border:1px solid #d8e0e7;background:#fff!important;color:#202932!important\">\u00c9 permitido treinar; os controles variam<\/td><td style=\"padding:12px;vertical-align:top;border:1px solid #d8e0e7;background:#fff!important;color:#202932!important\">Servi\u00e7os padr\u00e3o do BFL, API oficial do FLUX e acordos corporativos<\/td><\/tr><tr data-policy-group=\"agnes\"><td style=\"padding:12px;vertical-align:top;border:1px solid #d8e0e7;background:#fff!important;color:#202932!important\"><a href=\"#policy-agnes\"><strong>Agnes<\/strong><\/a><details><summary style=\"cursor:pointer;margin-top:8px\">1 modelo<\/summary><ul style=\"padding-left:18px\"><li id=\"model-084\" data-model=\"Agnes Image 2.1 Flash\"><a href=\"#policy-agnes\">Agnes Image 2.1 Flash<\/a><\/li><\/ul><\/details><\/td><td style=\"padding:12px;vertical-align:top;border:1px solid #d8e0e7;background:#fff!important;color:#202932!important\">Desconhecido<\/td><td style=\"padding:12px;vertical-align:top;border:1px solid #d8e0e7;background:#fff!important;color:#202932!important\">R\u00f3tulo da plataforma Agnes; a identidade do servi\u00e7o de origem e o contrato aplic\u00e1vel ainda n\u00e3o foram confirmados.<\/td><\/tr><tr data-policy-group=\"midjourney\"><td style=\"padding:12px;vertical-align:top;border:1px solid #d8e0e7;background:#fff!important;color:#202932!important\"><a href=\"#policy-midjourney\"><strong>Midjourney<\/strong><\/a><details><summary style=\"cursor:pointer;margin-top:8px\">1 modelo<\/summary><ul style=\"padding-left:18px\"><li id=\"model-085\" data-model=\"Midjourney (version not specified)\"><a href=\"#policy-midjourney\">Midjourney (vers\u00e3o n\u00e3o especificada)<\/a><\/li><\/ul><\/details><\/td><td style=\"padding:12px;vertical-align:top;border:1px solid #d8e0e7;background:#fff!important;color:#202932!important\">Compromisso de n\u00e3o treinar n\u00e3o est\u00e1 claro<\/td><td style=\"padding:12px;vertical-align:top;border:1px solid #d8e0e7;background:#fff!important;color:#202932!important\">Termos de Servi\u00e7o da Midjourney; acordos de acesso de terceiros exigem confirma\u00e7\u00e3o separada<\/td><\/tr><\/tbody><\/table><\/div>\n\n\n\n<div class=\"table-wrap\" style=\"overflow-x:auto\"><table style=\"width:100%;border-collapse:collapse\"><caption>V\u00eddeo: 24 modelos em 12 grupos de pol\u00edticas<\/caption><thead><tr><th scope=\"col\" style=\"background:#233b50!important;color:#fff!important;padding:12px;text-align:left;border:1px solid #d8e0e7\">Fam\u00edlia de modelos \/ vers\u00f5es<\/th><th scope=\"col\" style=\"background:#233b50!important;color:#fff!important;padding:12px;text-align:left;border:1px solid #d8e0e7\">Vaga de treinamento publicada<\/th><th scope=\"col\" style=\"background:#233b50!important;color:#fff!important;padding:12px;text-align:left;border:1px solid #d8e0e7\">Escopo do servi\u00e7o \u2014 aplicabilidade do GlobalGPT n\u00e3o verificada<\/th><\/tr><\/thead><tbody><tr data-policy-group=\"openai-video\"><td style=\"padding:12px;vertical-align:top;border:1px solid #d8e0e7;background:#fff!important;color:#202932!important\"><a href=\"#policy-openai-video\"><strong>Sora<\/strong><\/a><details><summary style=\"cursor:pointer;margin-top:8px\">1 modelo<\/summary><ul style=\"padding-left:18px\"><li id=\"model-086\" data-model=\"Sora 2\"><a href=\"#policy-openai-video\">Sora 2<\/a><\/li><\/ul><\/details><\/td><td style=\"padding:12px;vertical-align:top;border:1px solid #d8e0e7;background:#fff!important;color:#202932!important\">Configura\u00e7\u00e3o padr\u00e3o da API sem treinamento<\/td><td style=\"padding:12px;vertical-align:top;border:1px solid #d8e0e7;background:#fff!important;color:#202932!important\">Pol\u00edtica de dados OpenAI \/v1\/videos; esta entrada n\u00e3o fornece nenhuma informa\u00e7\u00e3o sobre a disponibilidade atual do servi\u00e7o.<\/td><\/tr><tr data-policy-group=\"google-video\"><td style=\"padding:12px;vertical-align:top;border:1px solid #d8e0e7;background:#fff!important;color:#202932!important\"><a href=\"#policy-google-video\"><strong>Veo<\/strong><\/a><details><summary style=\"cursor:pointer;margin-top:8px\">2 modelos<\/summary><ul style=\"padding-left:18px\"><li id=\"model-087\" data-model=\"Veo 3\"><a href=\"#policy-google-video\">Veo 3<\/a><\/li><li id=\"model-088\" data-model=\"Veo 3.1\"><a href=\"#policy-google-video\">Veo 3.1<\/a><\/li><\/ul><\/details><\/td><td style=\"padding:12px;vertical-align:top;border:1px solid #d8e0e7;background:#fff!important;color:#202932!important\">Prote\u00e7\u00e3o condicional sem treinamento<\/td><td style=\"padding:12px;vertical-align:top;border:1px solid #d8e0e7;background:#fff!important;color:#202932!important\">Veo por meio de um servi\u00e7o identificado do Google; o acesso de consumidores e de terceiros requer avalia\u00e7\u00e3o separada.<\/td><\/tr><tr data-policy-group=\"bytedance\"><td style=\"padding:12px;vertical-align:top;border:1px solid #d8e0e7;background:#fff!important;color:#202932!important\"><a href=\"#policy-bytedance\"><strong>Seedance<\/strong><\/a><details><summary style=\"cursor:pointer;margin-top:8px\">4 modelos<\/summary><ul style=\"padding-left:18px\"><li id=\"model-089\" data-model=\"Seedance 1.0 Pro\"><a href=\"#policy-bytedance\">Seedance 1.0 Pro<\/a><\/li><li id=\"model-090\" data-model=\"Seedance 2.0\"><a href=\"#policy-bytedance\">Seedance 2.0<\/a><\/li><li id=\"model-091\" data-model=\"Seedance 2.0 Fast\"><a href=\"#policy-bytedance\">Seedance 2.0 Fast<\/a><\/li><li id=\"model-092\" data-model=\"Seedance 2.5\"><a href=\"#policy-bytedance\">Seedance 2,5<\/a><\/li><\/ul><\/details><\/td><td style=\"padding:12px;vertical-align:top;border:1px solid #d8e0e7;background:#fff!important;color:#202932!important\">Restri\u00e7\u00e3o padr\u00e3o no treinamento de modelos de base<\/td><td style=\"padding:12px;vertical-align:top;border:1px solid #d8e0e7;background:#fff!important;color:#202932!important\">Os servi\u00e7os BytePlus AI e Model; o roteamento do Ark continental e do Seed Audio n\u00e3o s\u00e3o regidos por estes termos.<\/td><\/tr><tr data-policy-group=\"kling\"><td style=\"padding:12px;vertical-align:top;border:1px solid #d8e0e7;background:#fff!important;color:#202932!important\"><a href=\"#policy-kling\"><strong>Kling<\/strong><\/a><details><summary style=\"cursor:pointer;margin-top:8px\">3 modelos<\/summary><ul style=\"padding-left:18px\"><li id=\"model-093\" data-model=\"Kling 2.6\"><a href=\"#policy-kling\">Kling 2.6<\/a><\/li><li id=\"model-094\" data-model=\"Kling 3.0\"><a href=\"#policy-kling\">Kling 3.0<\/a><\/li><li id=\"model-095\" data-model=\"Kling O1\"><a href=\"#policy-kling\">Kling O1<\/a><\/li><\/ul><\/details><\/td><td style=\"padding:12px;vertical-align:top;border:1px solid #d8e0e7;background:#fff!important;color:#202932!important\">Treinamento permitido; possibilidade de revoga\u00e7\u00e3o<\/td><td style=\"padding:12px;vertical-align:top;border:1px solid #d8e0e7;background:#fff!important;color:#202932!important\">Condi\u00e7\u00f5es de servi\u00e7o padr\u00e3o Kling; a cobertura de APIs corporativas e de plataforma requer confirma\u00e7\u00e3o separada.<\/td><\/tr><tr data-policy-group=\"alibaba\"><td style=\"padding:12px;vertical-align:top;border:1px solid #d8e0e7;background:#fff!important;color:#202932!important\"><a href=\"#policy-alibaba\"><strong>Wan<\/strong><\/a><details><summary style=\"cursor:pointer;margin-top:8px\">4 modelos<\/summary><ul style=\"padding-left:18px\"><li id=\"model-096\" data-model=\"Wan 2.6\"><a href=\"#policy-alibaba\">Wan 2.6<\/a><\/li><li id=\"model-097\" data-model=\"Wan 2.7\"><a href=\"#policy-alibaba\">Wan 2.7<\/a><\/li><li id=\"model-098\" data-model=\"Wan 3.0\"><a href=\"#policy-alibaba\">Wan 3.0<\/a><\/li><li id=\"model-099\" data-model=\"Wan 3.0 Prime\"><a href=\"#policy-alibaba\">Wan 3.0 Prime<\/a><\/li><\/ul><\/details><\/td><td style=\"padding:12px;vertical-align:top;border:1px solid #d8e0e7;background:#fff!important;color:#202932!important\">Depende do servi\u00e7o e do plano<\/td><td style=\"padding:12px;vertical-align:top;border:1px solid #d8e0e7;background:#fff!important;color:#202932!important\">Termos do Alibaba Cloud Bailian na China continental; o Model Studio internacional e os servi\u00e7os de API de terceiros exigem uma avalia\u00e7\u00e3o separada.<\/td><\/tr><tr data-policy-group=\"runway\"><td style=\"padding:12px;vertical-align:top;border:1px solid #d8e0e7;background:#fff!important;color:#202932!important\"><a href=\"#policy-runway\"><strong>Passarela<\/strong><\/a><details><summary style=\"cursor:pointer;margin-top:8px\">1 modelo<\/summary><ul style=\"padding-left:18px\"><li id=\"model-100\" data-model=\"Runway Gen-4 Turbo\"><a href=\"#policy-runway\">Runway Turbo de 4\u00aa gera\u00e7\u00e3o<\/a><\/li><\/ul><\/details><\/td><td style=\"padding:12px;vertical-align:top;border:1px solid #d8e0e7;background:#fff!important;color:#202932!important\">Dependente do contrato<\/td><td style=\"padding:12px;vertical-align:top;border:1px solid #d8e0e7;background:#fff!important;color:#202932!important\">Servi\u00e7os comuns do Runway em compara\u00e7\u00e3o com os Servi\u00e7os Empresariais do Runway.<\/td><\/tr><tr data-policy-group=\"luma\"><td style=\"padding:12px;vertical-align:top;border:1px solid #d8e0e7;background:#fff!important;color:#202932!important\"><a href=\"#policy-luma\"><strong>Luma<\/strong><\/a><details><summary style=\"cursor:pointer;margin-top:8px\">1 modelo<\/summary><ul style=\"padding-left:18px\"><li id=\"model-101\" data-model=\"Luma Ray 2 Flash\"><a href=\"#policy-luma\">Flash Luma Ray 2<\/a><\/li><\/ul><\/details><\/td><td style=\"padding:12px;vertical-align:top;border:1px solid #d8e0e7;background:#fff!important;color:#202932!important\">API\/Empresa \u2013 sem treinamento<\/td><td style=\"padding:12px;vertical-align:top;border:1px solid #d8e0e7;background:#fff!important;color:#202932!important\">Servi\u00e7os da web comuns da Luma versus contratos de API e empresariais<\/td><\/tr><tr data-policy-group=\"minimax\"><td style=\"padding:12px;vertical-align:top;border:1px solid #d8e0e7;background:#fff!important;color:#202932!important\"><a href=\"#policy-minimax\"><strong>MiniMax<\/strong><\/a><details><summary style=\"cursor:pointer;margin-top:8px\">1 modelo<\/summary><ul style=\"padding-left:18px\"><li id=\"model-102\" data-model=\"MiniMax-H3\"><a href=\"#policy-minimax\">MiniMax-H3<\/a><\/li><\/ul><\/details><\/td><td style=\"padding:12px;vertical-align:top;border:1px solid #d8e0e7;background:#fff!important;color:#202932!important\">Escopo do treinamento n\u00e3o definido<\/td><td style=\"padding:12px;vertical-align:top;border:1px solid #d8e0e7;background:#fff!important;color:#202932!important\">Termos da plataforma API MiniMax; o tratamento de servi\u00e7os ao consumidor Hailuo n\u00e3o est\u00e1 definido aqui.<\/td><\/tr><tr data-policy-group=\"xai\"><td style=\"padding:12px;vertical-align:top;border:1px solid #d8e0e7;background:#fff!important;color:#202932!important\"><a href=\"#policy-xai\"><strong>Grok Imagine<\/strong><\/a><details><summary style=\"cursor:pointer;margin-top:8px\">2 modelos<\/summary><ul style=\"padding-left:18px\"><li id=\"model-103\" data-model=\"Grok Imagine\"><a href=\"#policy-xai\">Grok Imagine<\/a><\/li><li id=\"model-104\" data-model=\"Grok Imagine 1.5\"><a href=\"#policy-xai\">Grok Imagine 1.5<\/a><\/li><\/ul><\/details><\/td><td style=\"padding:12px;vertical-align:top;border:1px solid #d8e0e7;background:#fff!important;color:#202932!important\">N\u00e3o \u00e9 permitido treinar sem autoriza\u00e7\u00e3o<\/td><td style=\"padding:12px;vertical-align:top;border:1px solid #d8e0e7;background:#fff!important;color:#202932!important\">API oficial do xAI, incluindo controles de m\u00eddia documentados; o consumidor Grok possui pol\u00edticas distintas.<\/td><\/tr><tr data-policy-group=\"happyhorse\"><td style=\"padding:12px;vertical-align:top;border:1px solid #d8e0e7;background:#fff!important;color:#202932!important\"><a href=\"#policy-happyhorse\"><strong>Cavalo Feliz<\/strong><\/a><details><summary style=\"cursor:pointer;margin-top:8px\">1 modelo<\/summary><ul style=\"padding-left:18px\"><li id=\"model-105\" data-model=\"Happy Horse 1.0\"><a href=\"#policy-happyhorse\">Happy Horse 1.0<\/a><\/li><\/ul><\/details><\/td><td style=\"padding:12px;vertical-align:top;border:1px solid #d8e0e7;background:#fff!important;color:#202932!important\">Desconhecido<\/td><td style=\"padding:12px;vertical-align:top;border:1px solid #d8e0e7;background:#fff!important;color:#202932!important\">Inscri\u00e7\u00e3o na plataforma Happy Horse; a identidade do remetente e os termos aplic\u00e1veis ao tratamento de dados ainda n\u00e3o foram confirmados.<\/td><\/tr><tr data-policy-group=\"flux-video\"><td style=\"padding:12px;vertical-align:top;border:1px solid #d8e0e7;background:#fff!important;color:#202932!important\"><a href=\"#policy-flux-video\"><strong>V\u00eddeo do FLUX 3<\/strong><\/a><details><summary style=\"cursor:pointer;margin-top:8px\">1 modelo<\/summary><ul style=\"padding-left:18px\"><li id=\"model-106\" data-model=\"FLUX 3 Video\"><a href=\"#policy-flux-video\">V\u00eddeo do FLUX 3<\/a><\/li><\/ul><\/details><\/td><td style=\"padding:12px;vertical-align:top;border:1px solid #d8e0e7;background:#fff!important;color:#202932!important\">Desconhecido<\/td><td style=\"padding:12px;vertical-align:top;border:1px solid #d8e0e7;background:#fff!important;color:#202932!important\">Inscri\u00e7\u00e3o na plataforma de v\u00eddeo FLUX 3; o mapeamento de fornecedores e servi\u00e7os ainda n\u00e3o foi confirmado.<\/td><\/tr><tr data-policy-group=\"agnes\"><td style=\"padding:12px;vertical-align:top;border:1px solid #d8e0e7;background:#fff!important;color:#202932!important\"><a href=\"#policy-agnes\"><strong>Agnes<\/strong><\/a><details><summary style=\"cursor:pointer;margin-top:8px\">3 modelos<\/summary><ul style=\"padding-left:18px\"><li id=\"model-107\" data-model=\"Agnes Video 2.0\"><a href=\"#policy-agnes\">Agnes Video 2.0<\/a><\/li><li id=\"model-108\" data-model=\"Agnes Video 2.5\"><a href=\"#policy-agnes\">Agnes Video 2.5<\/a><\/li><li id=\"model-109\" data-model=\"Agnes Video 2.5 Flash\"><a href=\"#policy-agnes\">Agnes Video 2.5 Flash<\/a><\/li><\/ul><\/details><\/td><td style=\"padding:12px;vertical-align:top;border:1px solid #d8e0e7;background:#fff!important;color:#202932!important\">Desconhecido<\/td><td style=\"padding:12px;vertical-align:top;border:1px solid #d8e0e7;background:#fff!important;color:#202932!important\">R\u00f3tulo da plataforma Agnes; a identidade do servi\u00e7o de origem e o contrato aplic\u00e1vel ainda n\u00e3o foram confirmados.<\/td><\/tr><\/tbody><\/table><\/div>\n\n\n\n<div class=\"table-wrap\" style=\"overflow-x:auto\"><table style=\"width:100%;border-collapse:collapse\"><caption>\u00c1udio e m\u00fasica: 7 modelos em 5 grupos de pol\u00edticas<\/caption><thead><tr><th scope=\"col\" style=\"background:#233b50!important;color:#fff!important;padding:12px;text-align:left;border:1px solid #d8e0e7\">Fam\u00edlia de modelos \/ vers\u00f5es<\/th><th scope=\"col\" style=\"background:#233b50!important;color:#fff!important;padding:12px;text-align:left;border:1px solid #d8e0e7\">Vaga de treinamento publicada<\/th><th scope=\"col\" style=\"background:#233b50!important;color:#fff!important;padding:12px;text-align:left;border:1px solid #d8e0e7\">Escopo do servi\u00e7o \u2014 aplicabilidade do GlobalGPT n\u00e3o verificada<\/th><\/tr><\/thead><tbody><tr data-policy-group=\"alibaba\"><td style=\"padding:12px;vertical-align:top;border:1px solid #d8e0e7;background:#fff!important;color:#202932!important\"><a href=\"#policy-alibaba\"><strong>Qwen<\/strong><\/a><details><summary style=\"cursor:pointer;margin-top:8px\">1 modelo<\/summary><ul style=\"padding-left:18px\"><li id=\"model-110\" data-model=\"Qwen Audio 3.0\"><a href=\"#policy-alibaba\">Qwen \u00c1udio 3.0<\/a><\/li><\/ul><\/details><\/td><td style=\"padding:12px;vertical-align:top;border:1px solid #d8e0e7;background:#fff!important;color:#202932!important\">Depende do servi\u00e7o e do plano<\/td><td style=\"padding:12px;vertical-align:top;border:1px solid #d8e0e7;background:#fff!important;color:#202932!important\">Termos do Alibaba Cloud Bailian na China continental; o Model Studio internacional e os servi\u00e7os de API de terceiros exigem uma avalia\u00e7\u00e3o separada.<\/td><\/tr><tr data-policy-group=\"bytedance\"><td style=\"padding:12px;vertical-align:top;border:1px solid #d8e0e7;background:#fff!important;color:#202932!important\"><a href=\"#policy-bytedance\"><strong>Seed Audio<\/strong><\/a><details><summary style=\"cursor:pointer;margin-top:8px\">1 modelo<\/summary><ul style=\"padding-left:18px\"><li id=\"model-111\" data-model=\"Seed Audio 1.0\"><a href=\"#policy-bytedance\">Seed Audio 1.0<\/a><\/li><\/ul><\/details><\/td><td style=\"padding:12px;vertical-align:top;border:1px solid #d8e0e7;background:#fff!important;color:#202932!important\">Restri\u00e7\u00e3o padr\u00e3o no treinamento de modelos de base<\/td><td style=\"padding:12px;vertical-align:top;border:1px solid #d8e0e7;background:#fff!important;color:#202932!important\">Os servi\u00e7os BytePlus AI e Model; o roteamento do Ark continental e do Seed Audio n\u00e3o s\u00e3o regidos por estes termos.<\/td><\/tr><tr data-policy-group=\"elevenlabs\"><td style=\"padding:12px;vertical-align:top;border:1px solid #d8e0e7;background:#fff!important;color:#202932!important\"><a href=\"#policy-elevenlabs\"><strong>ElevenLabs<\/strong><\/a><details><summary style=\"cursor:pointer;margin-top:8px\">3 modelos<\/summary><ul style=\"padding-left:18px\"><li id=\"model-112\" data-model=\"Eleven Music\"><a href=\"#policy-elevenlabs\">Eleven Music<\/a><\/li><li id=\"model-113\" data-model=\"Eleven Multilingual v2\"><a href=\"#policy-elevenlabs\">Eleven Multilingual v2<\/a><\/li><li id=\"model-114\" data-model=\"Eleven v3\"><a href=\"#policy-elevenlabs\">Onze v3<\/a><\/li><\/ul><\/details><\/td><td style=\"padding:12px;vertical-align:top;border:1px solid #d8e0e7;background:#fff!important;color:#202932!important\">Treinamento permitido; op\u00e7\u00e3o de n\u00e3o participa\u00e7\u00e3o dispon\u00edvel<\/td><td style=\"padding:12px;vertical-align:top;border:1px solid #d8e0e7;background:#fff!important;color:#202932!important\">Servi\u00e7os padr\u00e3o ElevenLabs; o processamento corporativo\/comercial \u00e9 regulamentado separadamente.<\/td><\/tr><tr data-policy-group=\"mureka\"><td style=\"padding:12px;vertical-align:top;border:1px solid #d8e0e7;background:#fff!important;color:#202932!important\"><a href=\"#policy-mureka\"><strong>Mureka<\/strong><\/a><details><summary style=\"cursor:pointer;margin-top:8px\">1 modelo<\/summary><ul style=\"padding-left:18px\"><li id=\"model-115\" data-model=\"Mureka v9\"><a href=\"#policy-mureka\">Mureka v9<\/a><\/li><\/ul><\/details><\/td><td style=\"padding:12px;vertical-align:top;border:1px solid #d8e0e7;background:#fff!important;color:#202932!important\">Desconhecido, de acordo com os termos vigentes<\/td><td style=\"padding:12px;vertical-align:top;border:1px solid #d8e0e7;background:#fff!important;color:#202932!important\">Inclus\u00e3o da plataforma Mureka v9; os termos atuais do servi\u00e7o de controle e o contrato de API ainda n\u00e3o foram confirmados.<\/td><\/tr><tr data-policy-group=\"google-audio\"><td style=\"padding:12px;vertical-align:top;border:1px solid #d8e0e7;background:#fff!important;color:#202932!important\"><a href=\"#policy-google-audio\"><strong>Lyria<\/strong><\/a><details><summary style=\"cursor:pointer;margin-top:8px\">1 modelo<\/summary><ul style=\"padding-left:18px\"><li id=\"model-116\" data-model=\"Google Lyria 3 (home entry)\"><a href=\"#policy-google-audio\">Google Lyria 3 (p\u00e1gina inicial)<\/a><\/li><\/ul><\/details><\/td><td style=\"padding:12px;vertical-align:top;border:1px solid #d8e0e7;background:#fff!important;color:#202932!important\">Prote\u00e7\u00e3o por servi\u00e7o pago com exce\u00e7\u00e3o de seguran\u00e7a<\/td><td style=\"padding:12px;vertical-align:top;border:1px solid #d8e0e7;background:#fff!important;color:#202932!important\">Lyria por meio da API Gemini; o selo Lyria 3 da plataforma exige um mapeamento exato de modelos e servi\u00e7os.<\/td><\/tr><\/tbody><\/table><\/div>\n\n\n\n<div class=\"table-wrap\" style=\"overflow-x:auto\"><table style=\"width:100%;border-collapse:collapse\"><caption>3D: 5 modelos em 5 grupos de pol\u00edticas<\/caption><thead><tr><th scope=\"col\" style=\"background:#233b50!important;color:#fff!important;padding:12px;text-align:left;border:1px solid #d8e0e7\">Fam\u00edlia de modelos \/ vers\u00f5es<\/th><th scope=\"col\" style=\"background:#233b50!important;color:#fff!important;padding:12px;text-align:left;border:1px solid #d8e0e7\">Vaga de treinamento publicada<\/th><th scope=\"col\" style=\"background:#233b50!important;color:#fff!important;padding:12px;text-align:left;border:1px solid #d8e0e7\">Escopo do servi\u00e7o \u2014 aplicabilidade do GlobalGPT n\u00e3o verificada<\/th><\/tr><\/thead><tbody><tr data-policy-group=\"hunyuan\"><td style=\"padding:12px;vertical-align:top;border:1px solid #d8e0e7;background:#fff!important;color:#202932!important\"><a href=\"#policy-hunyuan\"><strong>Hunyuan3D<\/strong><\/a><details><summary style=\"cursor:pointer;margin-top:8px\">1 modelo<\/summary><ul style=\"padding-left:18px\"><li id=\"model-117\" data-model=\"Hunyuan 3D 3.1\"><a href=\"#policy-hunyuan\">Hunyuan 3D 3.1<\/a><\/li><\/ul><\/details><\/td><td style=\"padding:12px;vertical-align:top;border:1px solid #d8e0e7;background:#fff!important;color:#202932!important\">Prote\u00e7\u00e3o de entrada; sa\u00edda pouco clara<\/td><td style=\"padding:12px;vertical-align:top;border:1px solid #d8e0e7;background:#fff!important;color:#202932!important\">A API Hunyuan3D da Tencent Cloud e seus termos relativos a modelos de grande porte incorporados<\/td><\/tr><tr data-policy-group=\"meshy\"><td style=\"padding:12px;vertical-align:top;border:1px solid #d8e0e7;background:#fff!important;color:#202932!important\"><a href=\"#policy-meshy\"><strong>Meshy<\/strong><\/a><details><summary style=\"cursor:pointer;margin-top:8px\">1 modelo<\/summary><ul style=\"padding-left:18px\"><li id=\"model-118\" data-model=\"Meshy 7\"><a href=\"#policy-meshy\">Meshy 7<\/a><\/li><\/ul><\/details><\/td><td style=\"padding:12px;vertical-align:top;border:1px solid #d8e0e7;background:#fff!important;color:#202932!important\">\u00c9 permitido o treinamento para n\u00e3o funcion\u00e1rios da empresa<\/td><td style=\"padding:12px;vertical-align:top;border:1px solid #d8e0e7;background:#fff!important;color:#202932!important\">Servi\u00e7os Meshy comuns, API e Enterprise; exce\u00e7\u00f5es espec\u00edficas de pedidos<\/td><\/tr><tr data-policy-group=\"tripo\"><td style=\"padding:12px;vertical-align:top;border:1px solid #d8e0e7;background:#fff!important;color:#202932!important\"><a href=\"#policy-tripo\"><strong>Tripo<\/strong><\/a><details><summary style=\"cursor:pointer;margin-top:8px\">1 modelo<\/summary><ul style=\"padding-left:18px\"><li id=\"model-119\" data-model=\"Tripo h3.1\"><a href=\"#policy-tripo\">Tripo h3.1<\/a><\/li><\/ul><\/details><\/td><td style=\"padding:12px;vertical-align:top;border:1px solid #d8e0e7;background:#fff!important;color:#202932!important\">Servi\u00e7o pago, sem treinamento<\/td><td style=\"padding:12px;vertical-align:top;border:1px solid #d8e0e7;background:#fff!important;color:#202932!important\">Se\u00e7\u00e3o de usu\u00e1rios pagos do Tripo; os servi\u00e7os gratuitos e as configura\u00e7\u00f5es de acesso variam<\/td><\/tr><tr data-policy-group=\"rodin\"><td style=\"padding:12px;vertical-align:top;border:1px solid #d8e0e7;background:#fff!important;color:#202932!important\"><a href=\"#policy-rodin\"><strong>Rodin<\/strong><\/a><details><summary style=\"cursor:pointer;margin-top:8px\">1 modelo<\/summary><ul style=\"padding-left:18px\"><li id=\"model-120\" data-model=\"Rodin Gen-2\"><a href=\"#policy-rodin\">Rodin Gen-2<\/a><\/li><\/ul><\/details><\/td><td style=\"padding:12px;vertical-align:top;border:1px solid #d8e0e7;background:#fff!important;color:#202932!important\">Prote\u00e7\u00e3o da produ\u00e7\u00e3o do setor privado; ainda h\u00e1 lacunas<\/td><td style=\"padding:12px;vertical-align:top;border:1px solid #d8e0e7;background:#fff!important;color:#202932!important\">Termos do Hyper3D, pol\u00edtica de privacidade e armazenamento de recursos gerados pela API<\/td><\/tr><tr data-policy-group=\"trellis\"><td style=\"padding:12px;vertical-align:top;border:1px solid #d8e0e7;background:#fff!important;color:#202932!important\"><a href=\"#policy-trellis\"><strong>TRELLIS<\/strong><\/a><details><summary style=\"cursor:pointer;margin-top:8px\">1 modelo<\/summary><ul style=\"padding-left:18px\"><li id=\"model-121\" data-model=\"TRELLIS 3D\"><a href=\"#policy-trellis\">TRELLIS 3D<\/a><\/li><\/ul><\/details><\/td><td style=\"padding:12px;vertical-align:top;border:1px solid #d8e0e7;background:#fff!important;color:#202932!important\">Pol\u00edtica de hospedagem desconhecida<\/td><td style=\"padding:12px;vertical-align:top;border:1px solid #d8e0e7;background:#fff!important;color:#202932!important\">O projeto-modelo TRELLIS versus o servi\u00e7o que o executa<\/td><\/tr><\/tbody><\/table><\/div>\n\n\n\n<h2 id=\"text-model-policies\" class=\"wp-block-heading\">Pol\u00edticas de privacidade para modelos de IA de texto e multimodais<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Para modelos de chat e racioc\u00ednio, verifique a conversa completa e os anexos, n\u00e3o apenas a \u00faltima solicita\u00e7\u00e3o. Um documento enviado para resumo pode conter nomes de clientes, contratos, c\u00f3digos ou registros financeiros. As permiss\u00f5es de feedback podem abranger uma conversa mesmo nos casos em que solicita\u00e7\u00f5es comuns de API sejam exclu\u00eddas do treinamento.<\/p>\n\n\n\n<h3 id=\"policy-openai-text\" class=\"wp-block-heading\">Modelos de texto OpenAI: a configura\u00e7\u00e3o padr\u00e3o da API exclui o treinamento<\/h3>\n\n\n\n<p class=\"models\"><strong>Itens do cat\u00e1logo:<\/strong> GPT-6 Astra; GPT-5.6 Sol; GPT-5.6 Terra; GPT-5.6 Luna; GPT-5.5; GPT-5.4; GPT-5.4 mini; GPT-5.4 nano; GPT-5.3; GPT-5.2; GPT-5.1; GPT-5; GPT-5 mini; GPT-5 nano; GPT-4o; o1; o1 mini; o3; o3 mini; o3 Mini High; o4 mini; o4 Mini High.<\/p>\n\n\n\n<p class=\"scope\"><strong>\u00c2mbito:<\/strong> API oficial OpenAI; o servi\u00e7o ChatGPT para consumidores e outros servi\u00e7os de hospedagem t\u00eam pol\u00edticas distintas.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Treinamento:<\/strong> As entradas e sa\u00eddas oficiais da API do OpenAI n\u00e3o s\u00e3o utilizadas para treinar ou aprimorar modelos do OpenAI, a menos que o cliente opte explicitamente por compartilh\u00e1-las.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Para modelos de texto acessados por meio da API oficial do OpenAI, as entradas e sa\u00eddas dos clientes s\u00e3o exclu\u00eddas do treinamento do modelo por padr\u00e3o. A ades\u00e3o expl\u00edcita ao compartilhamento de dados constitui uma exce\u00e7\u00e3o. Trata-se de uma pol\u00edtica do servi\u00e7o da API, e n\u00e3o de uma prova de que todos os clientes tenham negociado um contrato Enterprise, de acordo com <a href=\"https:\/\/developers.openai.com\/api\/docs\/guides\/your-data\">Documenta\u00e7\u00e3o sobre controles de dados do OpenAI<\/a>.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">As diretrizes analisadas em 11 de setembro de 2026 distinguem entre treinamento e armazenamento. Os registros de monitoramento de abusos geralmente permanecem por at\u00e9 30 dias, salvo exce\u00e7\u00f5es documentadas. O estado das conversas, os objetos enviados e alguns recursos de cache podem seguir regras de reten\u00e7\u00e3o diferentes. Uma configura\u00e7\u00e3o de \u201csem treinamento\u201d, portanto, n\u00e3o significa que todas as solicita\u00e7\u00f5es desapare\u00e7am imediatamente.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Ainda podem ser aplic\u00e1veis medidas de seguran\u00e7a e procedimentos legais. A \u201cReten\u00e7\u00e3o Zero de Dados\u201d e o \u201cMonitoramento Modificado de Abuso\u201d t\u00eam requisitos de elegibilidade e limita\u00e7\u00f5es de terminais; n\u00e3o s\u00e3o garantias universais de que ningu\u00e9m possa acessar o conte\u00fado enviado. Esses controles devem ser avaliados em rela\u00e7\u00e3o ao recurso espec\u00edfico respons\u00e1vel pelo processamento do comando ou do arquivo.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">As informa\u00e7\u00f5es enviadas a ferramentas externas ou servi\u00e7os MCP remotos tamb\u00e9m est\u00e3o sujeitas \u00e0s pol\u00edticas desses destinat\u00e1rios. O compromisso da API da OpenAI n\u00e3o abrange o armazenamento pr\u00f3prio da GlobalGPT, links p\u00fablicos ou compartilhamento com terceiros. Os contratos espec\u00edficos com fornecedores e o roteamento da GlobalGPT n\u00e3o foram verificados aqui, e esta compara\u00e7\u00e3o de pol\u00edticas n\u00e3o faz nenhuma afirma\u00e7\u00e3o sobre a disponibilidade atual dos modelos.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Verifica\u00e7\u00e3o a ser realizada:<\/strong> Verifique as permiss\u00f5es de compartilhamento de dados e o endpoint real. Os recursos \u201cMonitoramento de Abuso Modificado\u201d e \u201cReten\u00e7\u00e3o Zero de Dados\u201d exigem qualifica\u00e7\u00e3o e aprova\u00e7\u00e3o; nenhum deles se aplica automaticamente a todos os recursos.<\/p>\n\n\n\n<h3 id=\"policy-anthropic\" class=\"wp-block-heading\">Claude: a prote\u00e7\u00e3o de treinamento comercial possui exce\u00e7\u00f5es de permiss\u00e3o<\/h3>\n\n\n\n<p class=\"models\"><strong>Itens do cat\u00e1logo:<\/strong> Claude Fable 5,1; Claude Fable 5; Claude Opus 5; Claude Opus 4,8; Claude Opus 4,7; Claude Opus 4,6; Claude Opus 4,5; Claude Sonnet 5; Claude Sonnet 4,6; Claude Sonnet 4,5; Claude Sonnet 4; Claude Haiku 4,5.<\/p>\n\n\n\n<p class=\"scope\"><strong>\u00c2mbito:<\/strong> Produtos comerciais Anthropic e API; os servi\u00e7os pessoais Claude n\u00e3o fazem parte desta compara\u00e7\u00e3o.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Treinamento:<\/strong> Por padr\u00e3o, o Anthropic n\u00e3o \u00e9 treinado com entradas ou sa\u00eddas de produtos comerciais. Uma permiss\u00e3o expl\u00edcita ou um feedback enviado podem criar exce\u00e7\u00f5es de acordo com a pol\u00edtica aplic\u00e1vel.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">A pol\u00edtica de produtos comerciais da Anthropic estabelece que, por padr\u00e3o, os dados de entrada e sa\u00edda n\u00e3o s\u00e3o utilizados para treinar seus modelos. Isso se aplica aos servi\u00e7os comerciais abrangidos pela pol\u00edtica, incluindo o uso da API. O compromisso est\u00e1 descrito em <a href=\"https:\/\/privacy.claude.com\/en\/articles\/7996868-is-my-data-used-for-model-training\">Perguntas frequentes sobre o treinamento de modelos do Anthropic<\/a> e n\u00e3o deve ser generalizado para todas as contas pessoais Claude.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">A quest\u00e3o da permiss\u00e3o \u00e9 importante. Os clientes podem autorizar usos adicionais, e os coment\u00e1rios enviados explicitamente podem incluir uma conversa relacionada. Uma empresa que esteja avaliando o modelo Claude deve, portanto, levar em considera\u00e7\u00e3o tanto os termos comerciais subjacentes quanto quaisquer coment\u00e1rios ou op\u00e7\u00f5es de compartilhamento que possam alterar a forma como uma determinada intera\u00e7\u00e3o \u00e9 tratada.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">As pol\u00edticas analisadas para esta entrada n\u00e3o estabelecem um per\u00edodo fixo de reten\u00e7\u00e3o, um cronograma de exclus\u00e3o nem condi\u00e7\u00f5es detalhadas para a revis\u00e3o humana. Essas quest\u00f5es exigem os termos aplic\u00e1veis ao tratamento de dados. A exclus\u00e3o do treinamento, por si s\u00f3, n\u00e3o significa que o conte\u00fado nunca seja armazenado, inspecionado por motivos de seguran\u00e7a ou retido para outra finalidade permitida.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">A visibilidade p\u00fablica e o compartilhamento posterior tamb\u00e9m s\u00e3o quest\u00f5es distintas. O FAQ de treinamento citado n\u00e3o esclarece se outra plataforma armazena uma conversa, disponibiliza um arquivo enviado por meio de um link ou envia material para uma ferramenta separada. Para o GlobalGPT, a prote\u00e7\u00e3o comercial depende do contrato efetivo com o fornecedor e do servi\u00e7o utilizado; o nome do modelo Claude, por si s\u00f3, n\u00e3o confirma esses aspectos.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Verifica\u00e7\u00e3o a ser realizada:<\/strong> Confirme a cobertura do servi\u00e7o comercial e quaisquer permiss\u00f5es relacionadas a coment\u00e1rios ou compartilhamento de dados. As configura\u00e7\u00f5es do Claude do consumidor n\u00e3o determinam os controles aplicados \u00e0 conta de API de um desenvolvedor.<\/p>\n\n\n\n<h3 id=\"policy-google-gemini\" class=\"wp-block-heading\">Gemini: a API paga, a API gratuita e o Vertex AI apresentam diferen\u00e7as<\/h3>\n\n\n\n<p class=\"models\"><strong>Itens do cat\u00e1logo:<\/strong> Gemini 3.8 Flash; Gemini 3.7 Flash; Gemini 3.6 Flash; Gemini 3.5 Flash; Gemini 3.5 Flash Lite; Gemini 3.1 Pro; Gemini 3.1 Flash Lite; Gemini 3 Pro; Gemini 3 Flash; Gemini 2.5 Pro; Gemini 2.5 Flash; Gemini Omni Flash.<\/p>\n\n\n\n<p class=\"scope\"><strong>\u00c2mbito:<\/strong> Servi\u00e7os pagos ou gratuitos da API Gemini e, separadamente, o Google Cloud Vertex AI; o Gemini para consumidores n\u00e3o est\u00e1 coberto.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Treinamento:<\/strong> A API Gemini paga exclui prompts e respostas do processo de aprimoramento do produto; as regras para a vers\u00e3o gratuita s\u00e3o diferentes. O Vertex AI exige permiss\u00e3o pr\u00e9via ou instru\u00e7\u00f5es para o treinamento ou ajuste fino do modelo.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">A classifica\u00e7\u00e3o de privacidade do Google depende do servi\u00e7o. De acordo com <a href=\"https:\/\/ai.google.dev\/gemini-api\/terms\">Termos da API Gemini<\/a>, Os Servi\u00e7os Pagos excluem prompts e respostas para fins de aprimoramento do produto. Os Servi\u00e7os N\u00e3o Pagos geralmente permitem o uso para aprimoramento e a revis\u00e3o humana, com disposi\u00e7\u00f5es regionais espec\u00edficas para o EEE, a Su\u00ed\u00e7a e o Reino Unido. O status de \u201cPago\u201d segue as defini\u00e7\u00f5es de servi\u00e7o e cobran\u00e7a do Google.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><a href=\"https:\/\/docs.cloud.google.com\/vertex-ai\/generative-ai\/docs\/data-governance\">Governan\u00e7a de dados do Vertex AI<\/a> Afirma, separadamente, que o Google n\u00e3o treinar\u00e1 nem aperfei\u00e7oar\u00e1 modelos de IA ou de aprendizado de m\u00e1quina utilizando dados de clientes sem permiss\u00e3o ou instru\u00e7\u00e3o pr\u00e9via. Esse \u00e9 um compromisso do Google Cloud. Ele n\u00e3o deve ser substitu\u00eddo silenciosamente por servi\u00e7os n\u00e3o remunerados para desenvolvedores ou pelo aplicativo Gemini para consumidores.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">O <a href=\"https:\/\/ai.google.dev\/gemini-api\/docs\/abuse-monitoring\">Pol\u00edtica de monitoramento de abuso da API Gemini<\/a> estabelece um prazo de 55 dias para prompts, contexto e resultados. Funcion\u00e1rios autorizados podem analisar conte\u00fados sinalizados ou projetos suspeitos. Os registros de abuso s\u00e3o exclu\u00eddos do treinamento geral de IA, com exce\u00e7\u00e3o dos modelos utilizados especificamente para a aplica\u00e7\u00e3o de pol\u00edticas. O prazo de 55 dias refere-se \u00e0 API Gemini, e n\u00e3o ao Vertex AI.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Nenhuma dessas declara\u00e7\u00f5es define as configura\u00e7\u00f5es de links p\u00fablicos, o armazenamento de arquivos ou o repasse de uma plataforma. Uma assinatura GlobalGPT tamb\u00e9m n\u00e3o identifica o projeto ou contrato pago subjacente do Google. Para cada entrada Gemini, as quest\u00f5es relevantes s\u00e3o: qual servi\u00e7o do Google a processa, se a defini\u00e7\u00e3o de servi\u00e7o pago se aplica e quais recursos adicionais de reten\u00e7\u00e3o s\u00e3o utilizados.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Verifica\u00e7\u00e3o a ser realizada:<\/strong> Verifique o servi\u00e7o do Google, o status de cobran\u00e7a do projeto e as exce\u00e7\u00f5es regionais. Os dados de monitoramento de abusos podem servir de base para modelos de aplica\u00e7\u00e3o de pol\u00edticas; uma assinatura paga n\u00e3o garante reten\u00e7\u00e3o zero universal.<\/p>\n\n\n\n<h3 id=\"policy-xai\" class=\"wp-block-heading\">API Grok: sem treinamento por padr\u00e3o, com controles de reten\u00e7\u00e3o separados<\/h3>\n\n\n\n<p class=\"models\"><strong>Itens do cat\u00e1logo:<\/strong> Grok 4,6; Grok 4,3.<\/p>\n\n\n\n<p class=\"scope\"><strong>\u00c2mbito:<\/strong> API oficial do xAI, incluindo controles de m\u00eddia documentados; o consumidor Grok possui pol\u00edticas distintas.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Treinamento:<\/strong> A xAI afirma que nunca realiza treinamento com entradas ou sa\u00eddas da API sem permiss\u00e3o expl\u00edcita. Esse compromisso da API n\u00e3o define a pol\u00edtica do consumidor comum Grok.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Para a API oficial, <a href=\"https:\/\/docs.x.ai\/developers\/faq\/security\">Perguntas frequentes sobre seguran\u00e7a da xAI<\/a> afirma que nunca realiza treinamento com entradas ou sa\u00eddas de clientes sem permiss\u00e3o expl\u00edcita. Isso estabelece uma configura\u00e7\u00e3o padr\u00e3o de \u201csem treinamento\u201d para esse servi\u00e7o. No entanto, isso n\u00e3o define as regras para uma conversa pessoal no Grok ou para um modelo hospedado de forma independente.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Por padr\u00e3o, as solicita\u00e7\u00f5es e respostas s\u00e3o criptografadas em repouso e armazenadas por 30 dias para viabilizar a auditoria de suspeitas de abuso ou uso indevido; em seguida, s\u00e3o exclu\u00eddas automaticamente. Contratos corporativos negociados podem especificar prazos de reten\u00e7\u00e3o diferentes. A pol\u00edtica n\u00e3o oferece uma garantia universal de que nenhum ser humano jamais poder\u00e1 acessar o conte\u00fado da API.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">As equipes podem ativar a Reten\u00e7\u00e3o Zero de Dados (ZDR), o que impede que as entradas e sa\u00eddas das solicita\u00e7\u00f5es sejam armazenadas em disco. H\u00e1 algumas restri\u00e7\u00f5es ao recurso: as imagens devem usar sa\u00edda em base64, enquanto a entrega de v\u00eddeos requer o destino de upload do cliente, em vez do armazenamento de sa\u00edda hospedado pelo xAI. O cabe\u00e7alho de resposta documentado pode confirmar se a ZDR est\u00e1 ativa para uma equipe espec\u00edfica.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">A reten\u00e7\u00e3o zero na xAI n\u00e3o determina o armazenamento nem a visibilidade dos links em uma plataforma separada, em um destino externo de upload ou nos pr\u00f3prios sistemas do cliente. As configura\u00e7\u00f5es da rota xAI e da equipe da GlobalGPT n\u00e3o foram verificadas. Portanto, cada listagem no Grok ou no Imagine precisa do contrato de API aplic\u00e1vel e de controles efetivos antes de poder oferecer uma garantia de privacidade mais robusta.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Verifica\u00e7\u00e3o a ser realizada:<\/strong> As equipes podem ativar a Reten\u00e7\u00e3o Zero de Dados, sujeito a restri\u00e7\u00f5es do recurso. Verifique a configura\u00e7\u00e3o atual da equipe; os controles de armazenamento de imagens e v\u00eddeos exigem m\u00e9todos espec\u00edficos de exporta\u00e7\u00e3o.<\/p>\n\n\n\n<h3 id=\"policy-deepseek\" class=\"wp-block-heading\">DeepSeek: a permiss\u00e3o para treinamento n\u00e3o significa que n\u00e3o haja direito de recusa<\/h3>\n\n\n\n<p class=\"models\"><strong>Itens do cat\u00e1logo:<\/strong> DeepSeek V4.1 Flash; DeepSeek V4 Pro; DeepSeek V4 Flash.<\/p>\n\n\n\n<p class=\"scope\"><strong>\u00c2mbito:<\/strong> Pol\u00edtica de privacidade do servi\u00e7o oficial DeepSeek; os aplicativos de desenvolvedores terceirizados e seus contratos s\u00e3o independentes.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Treinamento:<\/strong> A pol\u00edtica de servi\u00e7os oficiais da DeepSeek permite o treinamento e o aprimoramento, ao mesmo tempo em que reconhece o direito de recusar o uso de dados pessoais para o treinamento de modelos ou a otimiza\u00e7\u00e3o t\u00e9cnica dentro de seu escopo.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">O <a href=\"https:\/\/cdn.deepseek.com\/policies\/en-US\/deepseek-privacy-policy.html\">Pol\u00edtica de privacidade do servi\u00e7o oficial DeepSeek<\/a> permite o uso para fins de treinamento e aprimoramento, ao mesmo tempo em que reconhece o direito de recusar o uso de dados pessoais para treinamento de modelos ou otimiza\u00e7\u00e3o t\u00e9cnica. Essa distin\u00e7\u00e3o \u00e9 importante: a permiss\u00e3o para usar os dados e a possibilidade de o usu\u00e1rio se opor s\u00e3o aspectos distintos da pol\u00edtica.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">O direito de recusa identificado diz respeito aos dados pessoais. Ele n\u00e3o deve ser ampliado para se tornar uma garantia incondicional que abranja todos os documentos enviados, respostas geradas ou informa\u00e7\u00f5es n\u00e3o pessoais. As pol\u00edticas analisadas n\u00e3o estabelecem um bot\u00e3o espec\u00edfico para desativa\u00e7\u00e3o do produto, nem a implementa\u00e7\u00e3o t\u00e9cnica de uma solicita\u00e7\u00e3o e seu efeito sobre os dados j\u00e1 utilizados para treinamento.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Tamb\u00e9m n\u00e3o foram estabelecidos, para esta entrada, um per\u00edodo de reten\u00e7\u00e3o fixo, um cronograma detalhado de exclus\u00e3o e condi\u00e7\u00f5es espec\u00edficas para revis\u00e3o humana. A recusa em realizar o treinamento n\u00e3o implica necessariamente a remo\u00e7\u00e3o de registros necess\u00e1rios para operar um servi\u00e7o, lidar com quest\u00f5es de seguran\u00e7a ou cumprir as obriga\u00e7\u00f5es aplic\u00e1veis. A exclus\u00e3o de uma conversa n\u00e3o constitui prova de que um modelo j\u00e1 treinado tenha sido alterado.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Essas evid\u00eancias dizem respeito ao escopo da pol\u00edtica oficial do DeepSeek, que exclui aplicativos de desenvolvedores de n\u00edvel inferior. Elas n\u00e3o definem o contrato do GlobalGPT com o DeepSeek, as configura\u00e7\u00f5es de compartilhamento p\u00fablico nem as pr\u00e1ticas de armazenamento. A compara\u00e7\u00e3o adequada \u00e9, portanto, o treinamento permitido com um direito de recusa ao tratamento de dados pessoais documentado, enquanto o contrato de servi\u00e7o de terceiros aplic\u00e1vel e os demais detalhes sobre o tratamento de dados ainda precisam ser confirmados.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Verifica\u00e7\u00e3o a ser realizada:<\/strong> O direito de recusa em rela\u00e7\u00e3o aos dados pessoais est\u00e1 documentado. Um bot\u00e3o espec\u00edfico, sua implementa\u00e7\u00e3o t\u00e9cnica e seu efeito sobre treinamentos anteriores n\u00e3o est\u00e3o estabelecidos nas pol\u00edticas analisadas.<\/p>\n\n\n\n<h3 id=\"policy-zai\" class=\"wp-block-heading\">GLM por meio do Z.ai: a prote\u00e7\u00e3o de conte\u00fado por API difere dos servi\u00e7os pessoais<\/h3>\n\n\n\n<p class=\"models\"><strong>Itens do cat\u00e1logo:<\/strong> GLM-5.3; GLM-5.3 Flash; GLM-5.2; GLM-5.1.<\/p>\n\n\n\n<p class=\"scope\"><strong>\u00c2mbito:<\/strong> A API empresarial\/para desenvolvedores da Z.ai e, separadamente, os servi\u00e7os pessoais da Z.ai; outros provedores de GLM n\u00e3o est\u00e3o sujeitos a estes termos.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Treinamento:<\/strong> As solicita\u00e7\u00f5es e respostas da API do Z.ai est\u00e3o exclu\u00eddas do desenvolvimento ou aprimoramento do servi\u00e7o, a menos que haja acordo expl\u00edcito. Os termos do servi\u00e7o pessoal permitem um uso mais amplo do conte\u00fado para fins de aprimoramento.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Os termos da Z.ai definem o Conte\u00fado do Usu\u00e1rio como prompts e resultados. Para empresas e desenvolvedores que utilizam sua API, <a href=\"https:\/\/docs.z.ai\/legal-agreement\/terms-of-use.md\">se\u00e7\u00e3o IV.7<\/a> exclui esse conte\u00fado do desenvolvimento ou aprimoramento de servi\u00e7os, a menos que o cliente concorde explicitamente. As disposi\u00e7\u00f5es relativas a servi\u00e7os personalizados, por outro lado, permitem o uso para fins de aprimoramento, incluindo conte\u00fado n\u00e3o pessoal para o aprendizado de m\u00e1quina e o desenvolvimento de IA.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">A API <a href=\"https:\/\/docs.z.ai\/legal-agreement\/privacy-policy.md\">acordo de tratamento de dados, se\u00e7\u00e3o 4(b)<\/a>, afirma que o conte\u00fado fornecido e gerado \u00e9 processado em tempo real e n\u00e3o \u00e9 salvo nos servidores. A Se\u00e7\u00e3o 4(c) trata outros dados dos clientes separadamente: eles podem ser armazenados para fins de presta\u00e7\u00e3o de servi\u00e7os ou por motivos legais e exclu\u00eddos ap\u00f3s o t\u00e9rmino do contrato, sujeito aos requisitos legais.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Essa garantia relativa ao armazenamento de conte\u00fado n\u00e3o significa que os detalhes da conta, as informa\u00e7\u00f5es de pagamento ou os registros t\u00e9cnicos nunca sejam coletados. As pol\u00edticas analisadas n\u00e3o estabelecem condi\u00e7\u00f5es detalhadas para a revis\u00e3o humana. O DPA descreve o tratamento de dados de maneira geral em Cingapura; essa declara\u00e7\u00e3o refere-se ao servi\u00e7o abrangido, e n\u00e3o a todas as implanta\u00e7\u00f5es do GLM em todo o mundo.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Verifica\u00e7\u00e3o a ser realizada:<\/strong> Confirme se os termos espec\u00edficos da API e o DPA se aplicam. Os direitos de oposi\u00e7\u00e3o ou revoga\u00e7\u00e3o relativos a dados pessoais n\u00e3o estabelecem um mecanismo espec\u00edfico de treinamento do consumidor nem a prote\u00e7\u00e3o oferecida por outro provedor.<\/p>\n\n\n\n<h3 id=\"policy-moonshot\" class=\"wp-block-heading\">Kimi OpenPlatform: o acesso padr\u00e3o \u00e0 API permite o uso para treinamento<\/h3>\n\n\n\n<p class=\"models\"><strong>Itens do cat\u00e1logo:<\/strong> Kimi K3; Kimi K2.6; Kimi K2.5; Moonshot v1.<\/p>\n\n\n\n<p class=\"scope\"><strong>\u00c2mbito:<\/strong> Termos padr\u00e3o da API da Kimi OpenPlatform; acordos empresariais ou por escrito podem restringir o uso.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Treinamento:<\/strong> A Kimi OpenPlatform permite que o Conte\u00fado do Cliente seja utilizado para treinamento ou aprimoramento dos modelos da Moonshot AI, a menos que um contrato escrito separado disponha expressamente o contr\u00e1rio.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Kimi ilustra por que o acesso \u00e0 API n\u00e3o \u00e9 uma categoria universal de privacidade. Seu <a href=\"https:\/\/platform.moonshot.ai\/docs\/agreement\/modeluse\">Termos da OpenPlatform<\/a>, datadas de 30 de julho de 2026, permitem que o Conte\u00fado do Cliente seja utilizado para apoiar o desenvolvimento e o aprimoramento do servi\u00e7o. Elas orientam explicitamente os clientes que desejam impor restri\u00e7\u00f5es ao treinamento ou ao aprimoramento do modelo a discutirem acordos corporativos ou um contrato escrito separado.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">A menos que expressamente acordado de outra forma por escrito, os termos permitem os usos indicados. Isso estabelece uma permiss\u00e3o contratual, e n\u00e3o uma prova de que um determinado prompt tenha realmente sido inclu\u00eddo em um conjunto de dados de treinamento. Uma conta padr\u00e3o de API n\u00e3o deve, portanto, ser classificada como protegida contra o treinamento simplesmente porque um desenvolvedor paga pelas solicita\u00e7\u00f5es.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">O <a href=\"https:\/\/platform.moonshot.ai\/docs\/agreement\/userprivacy\">Pol\u00edtica de privacidade da OpenPlatform<\/a>, datada de 30 de abril de 2025, estabelece que as informa\u00e7\u00f5es relativas \u00e0 conta, aos dados inseridos e aos pagamentos s\u00e3o mantidas enquanto a conta permanecer ativa. Ela permite que determinados funcion\u00e1rios acessem as informa\u00e7\u00f5es relevantes quando necess\u00e1rio para fins comerciais. Essas disposi\u00e7\u00f5es n\u00e3o estabelecem um prazo uniforme para a exclus\u00e3o nem garantem que n\u00e3o haja acesso humano a esses dados.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">N\u00e3o h\u00e1 defini\u00e7\u00e3o de um mecanismo espec\u00edfico de treinamento para contas comuns nas pol\u00edticas analisadas; o procedimento documentado \u00e9 uma negocia\u00e7\u00e3o contratual. A visibilidade p\u00fablica e o repasse de dados por uma plataforma de terceiros exigem uma avalia\u00e7\u00e3o separada. O contrato de fornecimento da GlobalGPT pode ser diferente, mas sua cobertura n\u00e3o foi verificada neste contexto; portanto, a regra geral da OpenPlatform n\u00e3o pode estabelecer uma isen\u00e7\u00e3o para a empresa.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Verifica\u00e7\u00e3o a ser realizada:<\/strong> Os clientes que desejarem restri\u00e7\u00f5es ao treinamento podem entrar em contato com a Moonshot para discutir acordos corporativos ou um contrato por escrito espec\u00edfico. O acesso comum \u00e0 API n\u00e3o concede automaticamente uma isen\u00e7\u00e3o de treinamento.<\/p>\n\n\n\n<h3 id=\"policy-alibaba\" class=\"wp-block-heading\">Qwen e Wan: a Bailian do continente apresenta importantes exce\u00e7\u00f5es ao plano<\/h3>\n\n\n\n<p class=\"models\"><strong>Itens do cat\u00e1logo:<\/strong> Qwen3.8 Max; Qwen3.8 Flash; Qwen3-30B-A3B.<\/p>\n\n\n\n<p class=\"scope\"><strong>\u00c2mbito:<\/strong> Termos do Alibaba Cloud Bailian na China continental; o Model Studio internacional e os servi\u00e7os de API de terceiros exigem uma avalia\u00e7\u00e3o separada.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Treinamento:<\/strong> A Bailian do continente exclui o treinamento de conversa\u00e7\u00e3o sem autoriza\u00e7\u00e3o, mas o Plano Token Pessoal e o Plano de Codifica\u00e7\u00e3o autorizam explicitamente o uso de entradas e sa\u00eddas para aprimoramento do servi\u00e7o e otimiza\u00e7\u00e3o do modelo.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Bailian do continente\u2019s <a href=\"https:\/\/help.aliyun.com\/zh\/model-studio\/data-security\">documenta\u00e7\u00e3o sobre privacidade<\/a> descreve a prote\u00e7\u00e3o contra o uso para fins de treinamento. O link relacionado <a href=\"https:\/\/terms.alicdn.com\/legal-agreement\/terms\/common_platform_service\/20230728213935489\/20230728213935489.html\">contrato de presta\u00e7\u00e3o de servi\u00e7os<\/a> apresenta o detalhe essencial: a se\u00e7\u00e3o 6.2.5 exclui os dados de conversas do treinamento do modelo sem a autoriza\u00e7\u00e3o do cliente. Essa informa\u00e7\u00e3o se refere \u00e0 Bailian na China continental, e n\u00e3o, automaticamente, ao Alibaba Cloud Model Studio internacional.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">A Se\u00e7\u00e3o 5.2.2 estabelece uma exce\u00e7\u00e3o importante. O Plano Token Pessoal e o Plano de Codifica\u00e7\u00e3o autorizam o armazenamento e o uso de entradas e sa\u00eddas para o aprimoramento do servi\u00e7o e a otimiza\u00e7\u00e3o do modelo. A equipe do Plano Token est\u00e1 exclu\u00edda dessa disposi\u00e7\u00e3o. A interrup\u00e7\u00e3o do servi\u00e7o abrangido encerra a autoriza\u00e7\u00e3o futura, mas n\u00e3o revoga a autoriza\u00e7\u00e3o para o conte\u00fado j\u00e1 abrangido.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">A prote\u00e7\u00e3o de treinamento n\u00e3o significa reten\u00e7\u00e3o zero. Os dados do modelo e das chamadas do aplicativo podem ser armazenados, sendo que a reten\u00e7\u00e3o das conversas \u00e9 limitada ao per\u00edodo m\u00ednimo necess\u00e1rio, de acordo com as obriga\u00e7\u00f5es aplic\u00e1veis. N\u00e3o h\u00e1 um n\u00famero universal de dias estabelecido. A se\u00e7\u00e3o 4.3.1 tamb\u00e9m permite a revis\u00e3o t\u00e9cnica ou humana do conte\u00fado enviado e dos resultados gerados.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">As APIs de terceiros apresentam outra restri\u00e7\u00e3o: a se\u00e7\u00e3o 6.2.9 submete o armazenamento, a exclus\u00e3o e a filtragem de conte\u00fado aos termos do contrato de servi\u00e7o de terceiros. Essas cl\u00e1usulas n\u00e3o definem as configura\u00e7\u00f5es de links p\u00fablicos nem a rota efetiva de hospedagem de \u00e1udio, Wan ou Qwen da GlobalGPT. O servi\u00e7o espec\u00edfico, a assinatura e o contrato com o fornecedor devem ser identificados antes de atribuir ao modelo correspondente um status definitivo de \u201csem treinamento\u201d.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Verifica\u00e7\u00e3o a ser realizada:<\/strong> No caso de exce\u00e7\u00e3o ao plano, a interrup\u00e7\u00e3o do uso encerra a autoriza\u00e7\u00e3o futura, mas n\u00e3o afeta o uso de dados autorizado anteriormente. O tratamento de APIs de terceiros segue seu pr\u00f3prio contrato; os termos internacionais permanecem separados.<\/p>\n\n\n\n<h3 id=\"policy-meta\" class=\"wp-block-heading\">Muse Spark: a pol\u00edtica aplic\u00e1vel aos servi\u00e7os hospedados ainda \u00e9 desconhecida<\/h3>\n\n\n\n<p class=\"models\"><strong>Itens do cat\u00e1logo:<\/strong> Muse Spark 1.3; Muse Spark 1.2.<\/p>\n\n\n\n<p class=\"scope\"><strong>\u00c2mbito:<\/strong> Listagens da plataforma Muse Spark; o mapeamento exato dos provedores e o contrato de servi\u00e7o hospedado ainda n\u00e3o foram definidos.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Treinamento:<\/strong> Nas pol\u00edticas analisadas, n\u00e3o est\u00e1 estabelecida uma regra de treinamento aplic\u00e1vel ao servi\u00e7o hospedado Muse Spark mencionado; isso n\u00e3o indica que o treinamento ocorra.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Para as entradas do Muse Spark nesta compara\u00e7\u00e3o, o mapeamento exato do provedor e o contrato de servi\u00e7o hospedado aplic\u00e1vel n\u00e3o est\u00e3o definidos. A classifica\u00e7\u00e3o do treinamento, portanto, \u00e9 desconhecida. Trata-se de uma observa\u00e7\u00e3o sobre as evid\u00eancias de pol\u00edtica dispon\u00edveis, e n\u00e3o de uma alega\u00e7\u00e3o de que o modelo seja treinado com prompts enviados ou respostas geradas.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Tamb\u00e9m n\u00e3o foram estabelecidos, nas pol\u00edticas analisadas para este servi\u00e7o hospedado, um per\u00edodo de reten\u00e7\u00e3o, um cronograma de exclus\u00e3o e uma pol\u00edtica detalhada de revis\u00e3o humana. O nome do modelo, por si s\u00f3, n\u00e3o permite determinar se as instru\u00e7\u00f5es, os arquivos enviados, os resultados e os registros t\u00e9cnicos recebem tratamento diferenciado, nem se h\u00e1 exce\u00e7\u00f5es aplic\u00e1veis a investiga\u00e7\u00f5es de seguran\u00e7a e obriga\u00e7\u00f5es legais.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">A mesma incerteza se aplica \u00e0 visibilidade p\u00fablica e ao compartilhamento posterior. A presen\u00e7a em uma plataforma n\u00e3o determina se os arquivos s\u00e3o privados, se os links de sa\u00edda est\u00e3o acess\u00edveis a terceiros ou quais parceiros de processamento recebem o material enviado. Esses detalhes devem constar no contrato de hospedagem e na documenta\u00e7\u00e3o do servi\u00e7o aplic\u00e1veis, em vez de serem inferidos a partir da marca.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">A licen\u00e7a de peso aberto, quando aplic\u00e1vel a outro modelo, rege o uso do software ou dos pesos; ela n\u00e3o define como uma empresa de hospedagem lida com os dados dos clientes. Para essas listagens do Muse Spark, nem um compromisso empresarial de n\u00e3o treinamento nem uma op\u00e7\u00e3o de recusa dedicada est\u00e3o estabelecidos nas pol\u00edticas analisadas. A classifica\u00e7\u00e3o apropriada permanece desconhecida at\u00e9 que o servi\u00e7o hospedado espec\u00edfico e seus termos sejam identificados.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Verifica\u00e7\u00e3o a ser realizada:<\/strong> As pol\u00edticas analisadas n\u00e3o estabelecem disposi\u00e7\u00f5es relativas \u00e0 exclus\u00e3o de treinamento, cobertura corporativa e controles de compartilhamento p\u00fablico. Uma licen\u00e7a de uso livre n\u00e3o pode garantir a prote\u00e7\u00e3o de dados por parte de um provedor de hospedagem.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Antes de escolher um <a href=\"https:\/\/www.glbgpt.com\/hub\/chatgpt-business-plan\/\">ChatGPT Plano de neg\u00f3cios<\/a> Para uma equipe, avalie o contrato comercial aplic\u00e1vel e os controles administrativos, juntamente com os recursos de assinatura. Esses controles n\u00e3o s\u00e3o transferidos automaticamente para uma conta em outra plataforma.<\/p>\n\n\n\n<h2 id=\"image-model-policies\" class=\"wp-block-heading\">Pol\u00edticas de Privacidade do Gerador de Imagens por IA<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">A privacidade das imagens abrange sua solicita\u00e7\u00e3o, as fotos de refer\u00eancia enviadas, os arquivos de origem utilizados para edi\u00e7\u00e3o e as imagens geradas. A configura\u00e7\u00e3o de galeria privada pode impedir que outros usu\u00e1rios vejam uma imagem, sem impedir que o provedor a utilize para treinamento.<\/p>\n\n\n\n<h3 id=\"policy-openai-image\" class=\"wp-block-heading\">Modelos de imagem OpenAI: sem treinamento por padr\u00e3o por meio da API<\/h3>\n\n\n\n<p class=\"models\"><strong>Itens do cat\u00e1logo:<\/strong> GPT Image 2.5; GPT Image 2.<\/p>\n\n\n\n<p class=\"scope\"><strong>\u00c2mbito:<\/strong> API oficial de imagens OpenAI; o modelo exato e o endpoint s\u00e3o importantes<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Treinamento:<\/strong> O OpenAI n\u00e3o utiliza prompts oficiais da API, imagens de refer\u00eancia ou resultados gerados para o treinamento do modelo, a menos que o cliente opte explicitamente por compartilhar os dados.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">A API de imagens da OpenAI segue a pol\u00edtica padr\u00e3o aplicada a todas as suas APIs: os dados dos clientes n\u00e3o s\u00e3o utilizados para treinar ou aprimorar os modelos da OpenAI, a menos que o cliente conceda consentimento expl\u00edcito. Essa distin\u00e7\u00e3o \u00e9 importante ao enviar fotografias de refer\u00eancia, designs de produtos ou imagens para edi\u00e7\u00e3o. A prote\u00e7\u00e3o decorre da <a href=\"https:\/\/developers.openai.com\/api\/docs\/guides\/your-data\">Pol\u00edtica de dados da API<\/a>, em vez do nome de exibi\u00e7\u00e3o do modelo de imagem.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">O fato de n\u00e3o utilizar uma imagem para treinamento n\u00e3o significa que ela seja exclu\u00edda imediatamente. A mesma documenta\u00e7\u00e3o indica um per\u00edodo de reten\u00e7\u00e3o de 30 dias para monitoramento de abusos em endpoints de imagem e aus\u00eancia de estado de aplicativo, sujeito \u00e0s exce\u00e7\u00f5es listadas. Uma plataforma de terceiros tamb\u00e9m pode reter seus pr\u00f3prios arquivos enviados, imagens geradas ou c\u00f3pias de entrega de acordo com uma programa\u00e7\u00e3o separada.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">As entradas de imagens e arquivos passam por uma triagem de seguran\u00e7a. Materiais que possam constituir abuso sexual infantil podem ser retidos para an\u00e1lise de acordo com a exce\u00e7\u00e3o documentada, inclusive quando a op\u00e7\u00e3o \u201cReten\u00e7\u00e3o Zero de Dados\u201d estiver ativada. Consequentemente, a promessa de \u201csem treinamento\u201d n\u00e3o significa que ningu\u00e9m jamais poder\u00e1 analisar o material enviado.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">A \u201cReten\u00e7\u00e3o Zero de Dados\u201d \u00e9 um controle independente, baseado em aprova\u00e7\u00e3o, com crit\u00e9rios de elegibilidade espec\u00edficos para cada modelo. Para um modelo de imagem oferecido por meio do GlobalGPT, o modelo espec\u00edfico de origem, o endpoint e os controles de conta aplic\u00e1veis determinam se essa op\u00e7\u00e3o se aplica. O nome por si s\u00f3 n\u00e3o \u00e9 suficiente para determinar a aprova\u00e7\u00e3o, o desativamento do compartilhamento de dados ou o tempo de vida dos arquivos de imagem hospedados na plataforma.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Verifica\u00e7\u00e3o a ser realizada:<\/strong> A reten\u00e7\u00e3o zero de dados requer aprova\u00e7\u00e3o e modelos compat\u00edveis. Verifique o endpoint exato da imagem, as permiss\u00f5es de compartilhamento e o armazenamento da plataforma antes de tratar um fluxo de trabalho de imagens como reten\u00e7\u00e3o zero.<\/p>\n\n\n\n<h3 id=\"policy-google-image\" class=\"wp-block-heading\">Modelos de imagem do Google: o servi\u00e7o determina a prote\u00e7\u00e3o<\/h3>\n\n\n\n<p class=\"models\"><strong>Itens do cat\u00e1logo:<\/strong> Nano Banana; Nano Banana 2; Nano Banana Pro.<\/p>\n\n\n\n<p class=\"scope\"><strong>\u00c2mbito:<\/strong> Modelos de imagem Gemini e r\u00f3tulos Nano Banana; a cobertura paga da API Gemini ou do Vertex AI requer confirma\u00e7\u00e3o.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Treinamento:<\/strong> A API paga Gemini exclui prompts e respostas do processo de aprimoramento do produto; o Vertex AI restringe o treinamento sem autoriza\u00e7\u00e3o. Servi\u00e7os gratuitos e produtos de consumo seguem regras diferentes.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Uma foto de refer\u00eancia, uma instru\u00e7\u00e3o de edi\u00e7\u00e3o e uma imagem gerada podem estar sujeitas \u00e0s regras de conte\u00fado do mesmo servi\u00e7o, mas o nome do modelo de imagem n\u00e3o identifica essas regras. As etiquetas Nano Banana precisam primeiro ser associadas a um modelo e a um servi\u00e7o do Google espec\u00edficos. A assinatura de outra plataforma, por si s\u00f3, n\u00e3o determina qual contrato do Google se aplica \u00e0 solicita\u00e7\u00e3o.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Para <a href=\"https:\/\/ai.google.dev\/gemini-api\/terms\">servi\u00e7os da API Gemini pagos<\/a>, O Google afirma que n\u00e3o utiliza prompts nem respostas para aprimorar seus produtos. Os termos abrangem arquivos enviados, como imagens. Os servi\u00e7os gratuitos geralmente permitem o uso para aprimoramento e a revis\u00e3o humana, com exce\u00e7\u00f5es regionais. Por outro lado, <a href=\"https:\/\/docs.cloud.google.com\/vertex-ai\/generative-ai\/docs\/data-governance\">Governan\u00e7a de dados do Vertex AI<\/a> restringe o treinamento ou o ajuste fino sem permiss\u00e3o ou instru\u00e7\u00e3o pr\u00e9via.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Essas prote\u00e7\u00f5es n\u00e3o garantem que as imagens desapare\u00e7am imediatamente, que ningu\u00e9m possa revisar o conte\u00fado sinalizado ou que os links gerados sejam privados. Verifique separadamente o armazenamento de arquivos enviados, o processamento de seguran\u00e7a e as c\u00f3pias de imagem da pr\u00f3pria plataforma. A rota exata das imagens da GlobalGPT e a cobertura contratual n\u00e3o foram confirmadas aqui; portanto, a prote\u00e7\u00e3o permanece condicional, e n\u00e3o uma garantia v\u00e1lida para todo o modelo.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Verifica\u00e7\u00e3o a ser realizada:<\/strong> Confirme o modelo exato da imagem, o servi\u00e7o do Google e o escopo de cobran\u00e7a. Um nome Nano Banana ou uma assinatura paga do GlobalGPT, por si s\u00f3, n\u00e3o garante a prote\u00e7\u00e3o aplic\u00e1vel.<\/p>\n\n\n\n<h3 id=\"policy-bytedance\" class=\"wp-block-heading\">Seedream e Seedance: a prote\u00e7\u00e3o BytePlus \u00e9 espec\u00edfica para cada servi\u00e7o<\/h3>\n\n\n\n<p class=\"models\"><strong>Itens do cat\u00e1logo:<\/strong> Seedream 5.0 Pro; Seedream 5.0 Lite; Seedream 4.5.<\/p>\n\n\n\n<p class=\"scope\"><strong>\u00c2mbito:<\/strong> Os servi\u00e7os BytePlus AI e Model; o roteamento do Ark continental e do Seed Audio n\u00e3o s\u00e3o regidos por estes termos.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Treinamento:<\/strong> A BytePlus exclui os Dados do Cliente do treinamento do modelo de base, exceto no caso de feedback volunt\u00e1rio para melhorias, consentimento espec\u00edfico ou acordo por escrito. Isso n\u00e3o constitui automaticamente uma pol\u00edtica da Ark.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">O <a href=\"https:\/\/docs.byteplus.com\/en\/docs\/legal\/AI-Services-terms\">Termos Gerais da BytePlus para Servi\u00e7os de IA<\/a> cont\u00e9m uma restri\u00e7\u00e3o concreta ao treinamento com modelos de funda\u00e7\u00e3o. A Se\u00e7\u00e3o 3.3 exclui os Dados do Cliente desse treinamento, a menos que o cliente forne\u00e7a voluntariamente feedback para aprimoramento ou d\u00ea consentimento ou concorde separadamente por escrito. Trata-se de um compromisso condicionado, e n\u00e3o de uma promessa que abranja todos os usos poss\u00edveis para sempre.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">A Se\u00e7\u00e3o 3.1 trata os dados fornecidos aos Servi\u00e7os do Modelo BytePlus como Informa\u00e7\u00f5es Confidenciais nos termos do contrato. A Se\u00e7\u00e3o 3.2, no entanto, permite a reten\u00e7\u00e3o necess\u00e1ria para fins de servi\u00e7o e seguran\u00e7a, sem estabelecer um n\u00famero fixo de dias. A Se\u00e7\u00e3o 3.4 permite o uso de sistemas automatizados e outras medidas razo\u00e1veis para detectar e analisar abusos; ela n\u00e3o garante que o acesso humano seja imposs\u00edvel.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Para a Seedream e a Seedance, a quest\u00e3o relevante \u00e9 se a gera\u00e7\u00e3o realmente utiliza os servi\u00e7os BytePlus abrangidos. Esses termos n\u00e3o podem ser automaticamente transferidos para o Volcengine Ark do continente. O mapeamento espec\u00edfico dos servi\u00e7os da Seed Audio tamb\u00e9m permanece sem confirma\u00e7\u00e3o. A Se\u00e7\u00e3o 4 reconhece, al\u00e9m disso, termos distintos para componentes de terceiros. A rota da GlobalGPT, as permiss\u00f5es de feedback e a cobertura contratual precisam ser confirmadas antes que essa pol\u00edtica de fornecedores se torne uma declara\u00e7\u00e3o sobre um modelo de plataforma espec\u00edfico.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Verifica\u00e7\u00e3o a ser realizada:<\/strong> Confirme a cobertura do BytePlus, as permiss\u00f5es de feedback e quaisquer termos de terceiros. O mapeamento do servi\u00e7o da Seed Audio ainda n\u00e3o foi confirmado; n\u00e3o transfira essa prote\u00e7\u00e3o para o Ark continental com base na associa\u00e7\u00e3o de marcas.<\/p>\n\n\n\n<h3 id=\"policy-ideogram\" class=\"wp-block-heading\">Ideograma: Treinamento em servi\u00e7os comuns e prote\u00e7\u00e3o de dados empresariais<\/h3>\n\n\n\n<p class=\"models\"><strong>Itens do cat\u00e1logo:<\/strong> Ideogram 4.0; Ideogram 4.0 Turbo; Ideogram 4.0 Quality; Ideogram 3.0; Ideogram 3.0 Turbo; Ideogram 3.0 Quality.<\/p>\n\n\n\n<p class=\"scope\"><strong>\u00c2mbito:<\/strong> Servi\u00e7os do Ideogram para usu\u00e1rios comuns e para empresas; a cobertura do contrato de API pode variar<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Treinamento:<\/strong> A pol\u00edtica padr\u00e3o do Ideogram permite o treinamento de modelos. Sua p\u00e1gina \u201cEnterprise\u201d exclui os dados corporativos do treinamento de modelos compartilhados, enquanto o treinamento personalizado requer uma ades\u00e3o volunt\u00e1ria; os resultados exigem confirma\u00e7\u00e3o separada.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">O comum do Ideogram <a href=\"https:\/\/ideogram.ai\/legal\/privacy\/\">pol\u00edtica de privacidade<\/a> inclui prompts, imagens enviadas e intera\u00e7\u00f5es entre as informa\u00e7\u00f5es que coleta. Permite o uso dessas informa\u00e7\u00f5es para treinar os modelos que alimentam seus servi\u00e7os. Uma conta paga ou a configura\u00e7\u00e3o de imagem privada, portanto, n\u00e3o garante, por si s\u00f3, que o conte\u00fado enviado seja exclu\u00eddo do treinamento.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">O <a href=\"https:\/\/ideogram.ai\/enterprise\/\">Oferta corporativa<\/a> apresenta uma declara\u00e7\u00e3o mais espec\u00edfica: os dados de entrada da empresa n\u00e3o s\u00e3o utilizados para treinar os modelos compartilhados da Ideogram, e o treinamento personalizado com dados do cliente \u00e9 opcional. Essa formula\u00e7\u00e3o menciona expressamente os dados de entrada. N\u00e3o se trata de uma promessa igualmente expl\u00edcita que abranja todos os resultados gerados ou todas as contas de API.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Para servi\u00e7os comuns, a reten\u00e7\u00e3o dura pelo tempo que for razoavelmente necess\u00e1rio para os fins da ap\u00f3lice. Os clientes corporativos podem configurar a reten\u00e7\u00e3o para um per\u00edodo m\u00ednimo de 30 minutos, de acordo com a p\u00e1gina corporativa. Isso se refere a uma configura\u00e7\u00e3o dispon\u00edvel, e n\u00e3o \u00e0 exclus\u00e3o autom\u00e1tica ap\u00f3s 30 minutos para todos os clientes, conjuntos de dados ou contas.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">A visibilidade \u00e9 outra configura\u00e7\u00e3o. A <a href=\"https:\/\/ideogram.ai\/tos\">termos<\/a> distinguir o conte\u00fado privado do conte\u00fado dispon\u00edvel para outros usu\u00e1rios para remixagem. A visibilidade privada n\u00e3o implica uma exclus\u00e3o do treinamento nem pro\u00edbe totalmente o acesso do provedor. Para uso por meio do GlobalGPT, o contrato de fornecimento relevante e a configura\u00e7\u00e3o efetiva determinam quais prote\u00e7\u00f5es corporativas se aplicam.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Verifica\u00e7\u00e3o a ser realizada:<\/strong> As configura\u00e7\u00f5es de conte\u00fado privado controlam a visibilidade para outros usu\u00e1rios. As prote\u00e7\u00f5es relacionadas a treinamentos corporativos e reten\u00e7\u00e3o de dados dependem do acordo aplic\u00e1vel; n\u00e3o h\u00e1, neste caso, a op\u00e7\u00e3o de recusa de treinamento como parte do servi\u00e7o padr\u00e3o.<\/p>\n\n\n\n<h3 id=\"policy-bfl\" class=\"wp-block-heading\">FLUX, da Black Forest Labs: Permiss\u00e3o para treinamento e controles espec\u00edficos para contratos<\/h3>\n\n\n\n<p class=\"models\"><strong>Itens do cat\u00e1logo:<\/strong> FLUX; FLUX 1.1 Pro; FLUX 1.1 Ultra; FLUX 1 Kontext; FLUX 2 Pro.<\/p>\n\n\n\n<p class=\"scope\"><strong>\u00c2mbito:<\/strong> Servi\u00e7os padr\u00e3o do BFL, API oficial do FLUX e acordos corporativos<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Treinamento:<\/strong> Tanto os termos padr\u00e3o do BFL quanto os termos da API do FLUX permitem o treinamento de entrada\/sa\u00edda. As op\u00e7\u00f5es corporativas variam, e n\u00e3o se pode presumir automaticamente que a op\u00e7\u00e3o de exclus\u00e3o do servi\u00e7o padr\u00e3o se aplique aos contratos da API.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">A Black Forest Labs n\u00e3o oferece uma pol\u00edtica padr\u00e3o de exclus\u00e3o de treinamento em todos os seus servi\u00e7os. Sua <a href=\"https:\/\/bfl.ai\/legal\/terms-of-service\">termos comuns<\/a> permitir o treinamento e o aprimoramento por meio de entradas, sa\u00eddas e tarefas. O separado <a href=\"https:\/\/bfl.ai\/legal\/flux-api-service-terms\">Termos da API FLUX<\/a> tamb\u00e9m permitem expressamente o uso de entradas e sa\u00eddas para treinar e aprimorar modelos de IA.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">De acordo com as condi\u00e7\u00f5es gerais, os clientes podem enviar um e-mail para legal@blackforestlabs.ai para cancelar a inscri\u00e7\u00e3o em futuros treinamentos da FLUX. O <a href=\"https:\/\/bfl.ai\/legal\/privacy-policy\">pol\u00edtica de privacidade<\/a> Al\u00e9m disso, inclui o endere\u00e7o privacy@blackforestlabs.ai com o assunto \u201cTraining Opt Out\u201d. Os usu\u00e1rios da API devem verificar como esse controle se relaciona com os termos e as condi\u00e7\u00f5es de uso da API; as condi\u00e7\u00f5es de vers\u00f5es beta ou de programas especiais podem variar.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">A op\u00e7\u00e3o de exclus\u00e3o tem efeito prospectivo. Ela n\u00e3o anula o treinamento realizado anteriormente, e os termos prev\u00eaem exce\u00e7\u00f5es relacionadas \u00e0 seguran\u00e7a, conformidade legal e feedback. A reten\u00e7\u00e3o, por outro lado, segue os fins necess\u00e1rios do servi\u00e7o e os objetivos comerciais leg\u00edtimos, em vez de um prazo fixo de exclus\u00e3o. O prazo para recupera\u00e7\u00e3o de um arquivo n\u00e3o equivale ao prazo para exclus\u00e3o de todas as c\u00f3pias de dados associadas.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">BFL\u2019s <a href=\"https:\/\/bfl.ai\/enterprise\">oferta corporativa<\/a> anuncia a n\u00e3o reten\u00e7\u00e3o de dados e op\u00e7\u00f5es de implanta\u00e7\u00e3o dedicadas. Essas op\u00e7\u00f5es exigem um acordo espec\u00edfico; elas n\u00e3o definem a configura\u00e7\u00e3o de uma conta de API comum. Da mesma forma, nem a etiqueta \u201cFLUX\u201d no GlobalGPT nem uma alega\u00e7\u00e3o de marketing sobre implanta\u00e7\u00e3o privada identificam o contrato que rege uma solicita\u00e7\u00e3o espec\u00edfica.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Verifica\u00e7\u00e3o a ser realizada:<\/strong> Os termos gerais oferecem a op\u00e7\u00e3o de cancelamento do treinamento do FLUX por e-mail. Verifique se isso est\u00e1 previsto nos termos espec\u00edficos da API, nas condi\u00e7\u00f5es da vers\u00e3o beta e nos pedidos antes de utiliz\u00e1-lo para o tr\u00e1fego da API.<\/p>\n\n\n\n<h3 id=\"policy-agnes\" class=\"wp-block-heading\">Agnes: ainda \u00e9 necess\u00e1ria uma pol\u00edtica bem definida<\/h3>\n\n\n\n<p class=\"models\"><strong>Itens do cat\u00e1logo:<\/strong> Agnes Image 2.1 Flash.<\/p>\n\n\n\n<p class=\"scope\"><strong>\u00c2mbito:<\/strong> R\u00f3tulo da plataforma Agnes; a identidade do servi\u00e7o de origem e o contrato aplic\u00e1vel ainda n\u00e3o foram confirmados.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Treinamento:<\/strong> N\u00e3o foi estabelecida nenhuma pol\u00edtica de processamento de dados espec\u00edfica para o modelo Agnes. Trata-se de uma lacuna nas evid\u00eancias, e n\u00e3o de uma prova de que ocorra treinamento ou de que o conte\u00fado esteja protegido.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">A Agnes \u00e9 uma marca de modelos de plataforma, mas ainda n\u00e3o foi estabelecida uma pol\u00edtica de processamento de dados espec\u00edfica para esses modelos. O nome, por si s\u00f3, n\u00e3o identifica a entidade jur\u00eddica respons\u00e1vel, o acordo de hospedagem ou o contrato que rege o conte\u00fado enviado.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Portanto, as condi\u00e7\u00f5es relativas \u00e0 permiss\u00e3o para treinamento, aos controles de exclus\u00e3o, \u00e0 reten\u00e7\u00e3o e \u00e0 revis\u00e3o humana permanecem desconhecidas. Isso n\u00e3o significa que o treinamento ocorra ou que a exclus\u00e3o seja imposs\u00edvel. Antes de enviar material confidencial, o que falta s\u00e3o evid\u00eancias concretas sobre a identidade do servi\u00e7o e sua pol\u00edtica aplic\u00e1vel, e n\u00e3o uma promessa de privacidade extra\u00edda de um modelo com nome semelhante ou de um suposto fornecedor.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Verifica\u00e7\u00e3o a ser realizada:<\/strong> Confirme a identidade jur\u00eddica do fornecedor anterior, o contrato de presta\u00e7\u00e3o de servi\u00e7os e quaisquer configura\u00e7\u00f5es de treinamento. N\u00e3o atribua \u00e0 Agnes os controles de exclus\u00e3o, prote\u00e7\u00e3o corporativa ou reten\u00e7\u00e3o de dados de outro provedor.<\/p>\n\n\n\n<h3 id=\"policy-midjourney\" class=\"wp-block-heading\">Midjourney: A visibilidade p\u00fablica e a discri\u00e7\u00e3o s\u00e3o aspectos distintos do treinamento<\/h3>\n\n\n\n<p class=\"models\"><strong>Itens do cat\u00e1logo:<\/strong> Midjourney (vers\u00e3o n\u00e3o especificada).<\/p>\n\n\n\n<p class=\"scope\"><strong>\u00c2mbito:<\/strong> Termos de Servi\u00e7o da Midjourney; acordos de acesso de terceiros exigem confirma\u00e7\u00e3o separada<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Treinamento:<\/strong> Os termos da Midjourney concedem uma ampla licen\u00e7a de uso cont\u00ednuo do conte\u00fado, mas n\u00e3o estabelecem, neste caso, uma promessa expl\u00edcita de n\u00e3o uso para fins de treinamento. Essa licen\u00e7a, por si s\u00f3, n\u00e3o comprova o uso efetivo para fins de treinamento.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">A distin\u00e7\u00e3o mais clara do modelo Midjourney em mat\u00e9ria de privacidade diz respeito \u00e0 publica\u00e7\u00e3o. Sua <a href=\"https:\/\/docs.midjourney.com\/hc\/en-us\/articles\/32083055291277-Terms-of-Service\">Termos de Servi\u00e7o<\/a> definir que o conte\u00fado seja, por padr\u00e3o, vis\u00edvel ao p\u00fablico e possa ser reutilizado. Isso \u00e9 importante para projetos de produtos ainda n\u00e3o lan\u00e7ados, fotografias de clientes e ativos da marca, mesmo antes de se considerar se algum conte\u00fado pode ser usado para treinar modelos.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Os termos concedem \u00e0 Midjourney uma licen\u00e7a ampla e cont\u00ednua sobre o conte\u00fado enviado e os ativos gerados. Eles n\u00e3o estabelecem um compromisso expl\u00edcito de n\u00e3o uso para treinamento nesta compara\u00e7\u00e3o. Da mesma forma, uma licen\u00e7a ampla de conte\u00fado n\u00e3o constitui prova de que uma determinada imagem tenha realmente sido inclu\u00edda no treinamento. O status do treinamento, portanto, requer uma garantia mais espec\u00edfica.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Os clientes dos planos Pro e Mega podem usar o recurso Stealth, pelo qual a Midjourney se compromete a envidar todos os esfor\u00e7os para n\u00e3o publicar ativos criados com esse recurso ativado. O Stealth n\u00e3o torna uma sala compartilhada do Discord privada: as pessoas nessa sala ainda podem visualizar o conte\u00fado. Os controles de publica\u00e7\u00e3o e os controles de treinamento respondem a quest\u00f5es diferentes.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Os termos citados n\u00e3o estabelecem um prazo \u00fanico de reten\u00e7\u00e3o, e a licen\u00e7a de conte\u00fado permanece v\u00e1lida ap\u00f3s a rescis\u00e3o. A exclus\u00e3o de uma conta n\u00e3o deve ser interpretada como a revoga\u00e7\u00e3o autom\u00e1tica de todos os direitos concedidos. No caso de um fluxo de trabalho Midjourney oferecido por meio de outra plataforma, \u00e9 necess\u00e1rio analisar separadamente as condi\u00e7\u00f5es de acesso, o comportamento de publica\u00e7\u00e3o e a pol\u00edtica de armazenamento antes de enviar material confidencial.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Verifica\u00e7\u00e3o a ser realizada:<\/strong> Os planos Pro e Mega Stealth oferecem o melhor esfor\u00e7o poss\u00edvel para evitar a publica\u00e7\u00e3o, mas n\u00e3o uma op\u00e7\u00e3o de exclus\u00e3o do treinamento. O conte\u00fado criado em espa\u00e7os compartilhados do Discord permanece vis\u00edvel para as pessoas com acesso a esses espa\u00e7os.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">A <a href=\"https:\/\/www.glbgpt.com\/hub\/seedream-5-0-pro-prompt-guide\/\">Prompt do Seedream utilizando refer\u00eancias a produtos<\/a> pode trabalhar com uma foto p\u00fablica do produto ou com um projeto confidencial pr\u00e9-lan\u00e7amento. A t\u00e9cnica de gera\u00e7\u00e3o pode ser id\u00eantica, mas a permiss\u00e3o para enviar esses arquivos n\u00e3o \u00e9.<\/p>\n\n\n\n<h2 id=\"video-model-policies\" class=\"wp-block-heading\">Pol\u00edticas de Privacidade do Gerador de V\u00eddeos com IA<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">As solicita\u00e7\u00f5es de v\u00eddeo podem incluir o primeiro e o \u00faltimo quadro, imagens de rostos, filmagens de refer\u00eancia, fala e outros tipos de \u00e1udio. Uma declara\u00e7\u00e3o de reten\u00e7\u00e3o relativa ao clipe finalizado pode n\u00e3o abranger esses dados de entrada, registros de seguran\u00e7a ou c\u00f3pias armazenadas em outros locais.<\/p>\n\n\n\n<h3 id=\"policy-openai-video\" class=\"wp-block-heading\">API Sora: a aus\u00eancia de treinamento n\u00e3o significa reten\u00e7\u00e3o zero<\/h3>\n\n\n\n<p class=\"models\"><strong>Itens do cat\u00e1logo:<\/strong> Sora 2.<\/p>\n\n\n\n<p class=\"scope\"><strong>\u00c2mbito:<\/strong> Pol\u00edtica de dados OpenAI \/v1\/videos; esta entrada n\u00e3o fornece nenhuma informa\u00e7\u00e3o sobre a disponibilidade atual do servi\u00e7o.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Treinamento:<\/strong> A tabela oficial de controles de dados da API de v\u00eddeo exclui o treinamento, sujeita \u00e0 exce\u00e7\u00e3o geral da API para consentimento expl\u00edcito de compartilhamento de dados. O Consumer Sora requer uma avalia\u00e7\u00e3o de pol\u00edtica separada.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">A <a href=\"https:\/\/developers.openai.com\/api\/docs\/guides\/your-data\">Documenta\u00e7\u00e3o sobre controles de dados da API<\/a> indica que o endpoint de v\u00eddeo n\u00e3o \u00e9 utilizado para treinamento, sujeito \u00e0 exce\u00e7\u00e3o geral para clientes que optem explicitamente pelo compartilhamento de dados. Trata-se de uma constata\u00e7\u00e3o da pol\u00edtica da API, e n\u00e3o de uma declara\u00e7\u00e3o sobre o Sora para consumidores nem de uma confirma\u00e7\u00e3o de que algum servi\u00e7o esteja dispon\u00edvel no momento.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">A mesma documenta\u00e7\u00e3o distingue o armazenamento de v\u00eddeo do treinamento. Seu fluxo de trabalho de v\u00eddeo descreve um per\u00edodo de 48 horas para o download do v\u00eddeo produzido, seguido por 30 dias de reten\u00e7\u00e3o para monitoramento de abusos. Ela tamb\u00e9m identifica o endpoint de v\u00eddeo como ineleg\u00edvel para a Reten\u00e7\u00e3o Zero de Dados e bloqueado para solicita\u00e7\u00f5es de Monitoramento de Abusos Modificado ou Reten\u00e7\u00e3o Zero de Dados. Os controles dispon\u00edveis para terminais de texto n\u00e3o podem ser simplesmente considerados v\u00e1lidos para v\u00eddeo.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Uma marca\u00e7\u00e3o \u201cSora\u201d em outra plataforma n\u00e3o revela o endpoint, a conta ou o contrato utilizado. Tamb\u00e9m n\u00e3o fornece nenhuma informa\u00e7\u00e3o sobre os pr\u00f3prios arquivos de refer\u00eancia enviados pela plataforma, c\u00f3pias de v\u00eddeo ou links para download. A rota da GlobalGPT permanece n\u00e3o confirmada; portanto, a classifica\u00e7\u00e3o pr\u00e1tica \u00e9 de prote\u00e7\u00e3o condicional por API sem treinamento, com reten\u00e7\u00e3o documentada, em vez de uma promessa universal de que os dados de v\u00eddeo nunca s\u00e3o armazenados ou revisados.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Verifica\u00e7\u00e3o a ser realizada:<\/strong> O endpoint de v\u00eddeo documentado n\u00e3o \u00e9 eleg\u00edvel para a Reten\u00e7\u00e3o Zero de Dados e est\u00e1 bloqueado para solicita\u00e7\u00f5es de MAM\/ZDR. Confirme a rota real, em vez de herdar os controles da API de texto.<\/p>\n\n\n\n<h3 id=\"policy-google-video\" class=\"wp-block-heading\">Veo: distinguir o Vertex AI de outras vias de acesso<\/h3>\n\n\n\n<p class=\"models\"><strong>Itens do cat\u00e1logo:<\/strong> Veo 3; Veo 3.1.<\/p>\n\n\n\n<p class=\"scope\"><strong>\u00c2mbito:<\/strong> Veo por meio de um servi\u00e7o identificado do Google; o acesso de consumidores e de terceiros requer avalia\u00e7\u00e3o separada.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Treinamento:<\/strong> O Vertex AI restringe o treinamento e o ajuste fino sem permiss\u00e3o ou instru\u00e7\u00e3o pr\u00e9via. Essa garantia n\u00e3o abrange automaticamente todos os produtos de consumo Veo nem todas as formas de acesso de terceiros.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Uma gera\u00e7\u00e3o Veo pode conter mais do que apenas um prompt de texto: imagens de refer\u00eancia, pessoas que aparecem nessas imagens e arquivos de v\u00eddeo gerados \u2014 todos esses elementos s\u00e3o relevantes para uma avalia\u00e7\u00e3o de privacidade. A quest\u00e3o pr\u00e1tica \u00e9: qual servi\u00e7o os processa e qual contrato abrange esse processamento? Um r\u00f3tulo de vers\u00e3o Veo, por si s\u00f3, n\u00e3o pode responder a essa pergunta.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">O Google <a href=\"https:\/\/docs.cloud.google.com\/vertex-ai\/generative-ai\/docs\/data-governance\">Documenta\u00e7\u00e3o sobre governan\u00e7a de dados do Vertex AI<\/a> afirma que os dados dos clientes n\u00e3o ser\u00e3o utilizados para treinar ou ajustar modelos de IA\/ML sem permiss\u00e3o ou instru\u00e7\u00e3o pr\u00e9via. Isso corrobora uma classifica\u00e7\u00e3o condicional de \u201csem treinamento\u201d para o acesso abrangido. N\u00e3o estabelece tratamento id\u00eantico em um produto de v\u00eddeo para consumidores, um provedor n\u00e3o relacionado ou uma plataforma que utilize uma rota de origem n\u00e3o confirmada.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">O armazenamento de v\u00eddeos requer uma verifica\u00e7\u00e3o espec\u00edfica, mesmo quando o treinamento \u00e9 restrito. O prazo para download de um clipe gerado, o tempo de vida \u00fatil da m\u00eddia de refer\u00eancia enviada e os registros de seguran\u00e7a podem apresentar dados diferentes. Nenhum deles especifica por quanto tempo o GlobalGPT mant\u00e9m suas pr\u00f3prias c\u00f3pias. Antes de considerar um fluxo de trabalho Veo adequado para imagens confidenciais, verifique o servi\u00e7o, o contrato e os controles de v\u00eddeo relevantes; n\u00e3o h\u00e1 aqui nenhuma garantia universal de reten\u00e7\u00e3o zero ou de aus\u00eancia de revis\u00e3o humana.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Verifica\u00e7\u00e3o a ser realizada:<\/strong> Identifique o servi\u00e7o, a conta e o contrato exatos antes de contar com a prote\u00e7\u00e3o do Vertex AI. Confirme os controles de reten\u00e7\u00e3o espec\u00edficos para v\u00eddeos, em vez de utilizar configura\u00e7\u00f5es de um modelo de texto.<\/p>\n\n\n\n<h3 id=\"related-bytedance-video-model-policies\" class=\"wp-block-heading\">Seedance 1.0 Pro, Seedance 2.0, Seedance 2.0 Fast, Seedance 2.5<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Para esses registros, o compromisso p\u00fablico relevante continua sendo a cl\u00e1usula do modelo de base da BytePlus. Os quadros enviados, o \u00e1udio de refer\u00eancia e a m\u00eddia gerada exigem uma avalia\u00e7\u00e3o de armazenamento espec\u00edfica. O mapeamento de servi\u00e7os da Seed Audio ainda n\u00e3o foi confirmado; n\u00e3o se deve presumir que a cobertura da BytePlus se aplique apenas por causa do nome \u201cSeed\u201d.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Veja <a href=\"#policy-bytedance\">Seedream e Seedance: a prote\u00e7\u00e3o BytePlus \u00e9 espec\u00edfica para cada servi\u00e7o<\/a> para os termos publicados aplic\u00e1veis e os campos n\u00e3o preenchidos.<\/p>\n\n\n\n<h3 id=\"policy-kling\" class=\"wp-block-heading\">Kling: permiss\u00e3o de treinamento com rota de revoga\u00e7\u00e3o<\/h3>\n\n\n\n<p class=\"models\"><strong>Itens do cat\u00e1logo:<\/strong> Kling 2,6; Kling 3,0; Kling O1.<\/p>\n\n\n\n<p class=\"scope\"><strong>\u00c2mbito:<\/strong> Condi\u00e7\u00f5es de servi\u00e7o padr\u00e3o Kling; a cobertura de APIs corporativas e de plataforma requer confirma\u00e7\u00e3o separada.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Treinamento:<\/strong> Os termos gerais do Kling permitem o uso do conte\u00fado coberto para criar, testar, aprimorar e treinar modelos de IA\/ML. A permiss\u00e3o n\u00e3o comprova que um determinado clipe tenha sido utilizado.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">O Kling se enquadra em uma categoria que reconhece tanto a permiss\u00e3o para treinamento quanto uma forma de revogar a autoriza\u00e7\u00e3o. A se\u00e7\u00e3o 4.7.3 do seu <a href=\"https:\/\/klingai.com\/global\/docs\/user-policy\">condi\u00e7\u00f5es de servi\u00e7o ordin\u00e1rio<\/a> permite o uso de material coberto para apoiar a cria\u00e7\u00e3o, o teste, o aprimoramento e o treinamento de modelos de IA\/ML. Isso se refere \u00e0 permiss\u00e3o contratual; n\u00e3o significa que uma determinada imagem enviada ou um clipe gerado tenha sido inclu\u00eddo no treinamento.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">A Se\u00e7\u00e3o 4.7.4 estabelece que os usu\u00e1rios que n\u00e3o desejarem que todo ou parte de seu Conte\u00fado continue sendo utilizado poder\u00e3o revogar a autoriza\u00e7\u00e3o enviando um e-mail para support@kling.ai. Afirmar que \u00e9 imposs\u00edvel cancelar a ades\u00e3o ao Kling omitiria, portanto, um caminho documentado. A cl\u00e1usula n\u00e3o estabelece um controle da conta com um \u00fanico clique, um prazo de processamento garantido nem a revers\u00e3o do treinamento de modelos anteriores.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">A revoga\u00e7\u00e3o e a exclus\u00e3o devem continuar sendo quest\u00f5es distintas. Essas cl\u00e1usulas n\u00e3o estabelecem um per\u00edodo comum de reten\u00e7\u00e3o nem garantem a remo\u00e7\u00e3o de todas as c\u00f3pias armazenadas. Os servi\u00e7os corporativos podem ter regras adicionais, e o contrato de acesso efetivo da GlobalGPT n\u00e3o est\u00e1 confirmado. Aplique a conclus\u00e3o relativa a servi\u00e7os comuns apenas quando esses termos regerem a gera\u00e7\u00e3o, em vez de atribuir um \u00fanico veredicto de privacidade a todas as vers\u00f5es do modelo Kling.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Verifica\u00e7\u00e3o a ser realizada:<\/strong> A Se\u00e7\u00e3o 4.7.4 permite a revoga\u00e7\u00e3o da autoriza\u00e7\u00e3o por meio de e-mail enviado para support@kling.ai. N\u00e3o se trata de uma op\u00e7\u00e3o de revoga\u00e7\u00e3o instant\u00e2nea e verificada; os termos corporativos exigem uma confirma\u00e7\u00e3o separada para o servi\u00e7o em quest\u00e3o.<\/p>\n\n\n\n<h3 id=\"related-alibaba-video-model-policies\" class=\"wp-block-heading\">Wan 2.6, Wan 2.7, Wan 3.0, Wan 3.0 Prime<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Para essas entradas de m\u00eddia, confirme primeiro se a solicita\u00e7\u00e3o utiliza o servi\u00e7o Bailian abrangido, um contrato de API separado ou outro provedor. O r\u00f3tulo do cat\u00e1logo n\u00e3o determina a cobertura contratual. M\u00eddias de refer\u00eancia, scripts e arquivos gerados tamb\u00e9m necessitam de controles de armazenamento e acesso al\u00e9m da cl\u00e1usula geral relativa aos dados de conversas.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Veja <a href=\"#policy-alibaba\">Qwen e Wan: a Bailian do continente apresenta importantes exce\u00e7\u00f5es ao plano<\/a> para os termos publicados aplic\u00e1veis e os campos n\u00e3o preenchidos.<\/p>\n\n\n\n<h3 id=\"policy-runway\" class=\"wp-block-heading\">Runway: os termos do idioma comum e do idioma empresarial levam a resultados diferentes<\/h3>\n\n\n\n<p class=\"models\"><strong>Itens do cat\u00e1logo:<\/strong> Runway Gen-4 Turbo.<\/p>\n\n\n\n<p class=\"scope\"><strong>\u00c2mbito:<\/strong> Servi\u00e7os comuns do Runway em compara\u00e7\u00e3o com os Servi\u00e7os Empresariais do Runway.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Treinamento:<\/strong> Os termos padr\u00e3o do Runway permitem o treinamento e o aprimoramento de entrada\/sa\u00edda. Os termos corporativos pro\u00edbem expressamente o uso do Conte\u00fado do Cliente como dados de treinamento para os Servi\u00e7os quando esse contrato for aplic\u00e1vel.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">O Runway ilustra por que uma resposta simples de \u201csim\u201d ou \u201cn\u00e3o\u201d no n\u00edvel do modelo pode induzir a erro. Seu <a href=\"https:\/\/runwayml.com\/terms-of-use\">termos comuns<\/a> Permite que as entradas e sa\u00eddas sejam utilizadas para treinar e aprimorar modelos de IA e tecnologias relacionadas. O pagamento pelo acesso, por si s\u00f3, n\u00e3o substitui esse acordo pela prote\u00e7\u00e3o do Enterprise.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">O separado <a href=\"https:\/\/runway.com\/enterprise-terms\">Termos dos Servi\u00e7os Empresariais<\/a> afirma: \u201cO Runway n\u00e3o pode utilizar o Conte\u00fado do Cliente como dados de treinamento para os Servi\u00e7os.\u201d Trata-se de uma restri\u00e7\u00e3o contratual expl\u00edcita, com uma categoria de conte\u00fado e um escopo de servi\u00e7o definidos. Um nome de modelo, como Gen-4 Turbo, n\u00e3o determina se a solicita\u00e7\u00e3o est\u00e1 abrangida por essa restri\u00e7\u00e3o.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">As restri\u00e7\u00f5es ao treinamento tamb\u00e9m deixam outras quest\u00f5es de privacidade em aberto. As cl\u00e1usulas citadas n\u00e3o estabelecem um prazo universal de reten\u00e7\u00e3o de conte\u00fado, n\u00e3o garantem nenhuma avalia\u00e7\u00e3o de seguran\u00e7a nem determinam como outra plataforma armazena os v\u00eddeos gerados. N\u00e3o foi estabelecida aqui uma op\u00e7\u00e3o de exclus\u00e3o do treinamento no servi\u00e7o padr\u00e3o. Para o GlobalGPT, o detalhe decisivo que falta \u00e9 o servi\u00e7o Runway efetivamente contratado e sua cobertura, seguido pelas configura\u00e7\u00f5es aplic\u00e1veis de armazenamento e exclus\u00e3o.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Verifica\u00e7\u00e3o a ser realizada:<\/strong> Verifique se o contrato corporativo realmente abrange a solicita\u00e7\u00e3o. O acesso pago comum n\u00e3o \u00e9 equivalente, e n\u00e3o foi estabelecida, neste caso, uma op\u00e7\u00e3o de exclus\u00e3o do treinamento do servi\u00e7o padr\u00e3o.<\/p>\n\n\n\n<h3 id=\"policy-luma\" class=\"wp-block-heading\">Luma: Compromissos relativos \u00e0 API e \u00e0 solu\u00e7\u00e3o empresarial sem necessidade de treinamento<\/h3>\n\n\n\n<p class=\"models\"><strong>Itens do cat\u00e1logo:<\/strong> Flash Luma Ray 2.<\/p>\n\n\n\n<p class=\"scope\"><strong>\u00c2mbito:<\/strong> Servi\u00e7os da web comuns da Luma versus contratos de API e empresariais<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Treinamento:<\/strong> Os termos de uso padr\u00e3o da Luma para a vers\u00e3o gratuita e paga da web permitem o treinamento. Os termos de uso da API excluem o treinamento de entrada\/sa\u00edda da API, enquanto a vers\u00e3o Enterprise oferece uma \u201cGarantia de N\u00e3o Treinamento\u201d separada.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">A Luma estabelece uma distin\u00e7\u00e3o significativa entre o uso comum da web e o acesso protegido por API ou empresarial. Sua <a href=\"https:\/\/lumalabs.ai\/legal\/terms-of-service\">termos comuns<\/a> conceder direitos de treinamento sobre os dados de entrada e sa\u00edda, tanto do uso gratuito quanto do pago da web. A aquisi\u00e7\u00e3o de uma assinatura comum, portanto, n\u00e3o estabelece as mesmas condi\u00e7\u00f5es de privacidade que um contrato corporativo.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Se\u00e7\u00e3o 10 da <a href=\"https:\/\/lumalabs.ai\/legal\/api-terms-of-use\">Termos da API<\/a> exclui as entradas e sa\u00eddas da API do treinamento, do ajuste fino ou de qualquer outro tipo de desenvolvimento dos modelos da Luma. Esse compromisso se aplica especificamente ao acesso \u00e0 API regido por esses termos. O <a href=\"https:\/\/lumalabs.ai\/legal\/enterprise-terms-of-service\">Acordo empresarial<\/a> inclui, separadamente, uma Garantia de Aus\u00eancia de Trens para entradas e sa\u00eddas.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Nenhuma dessas disposi\u00e7\u00f5es implica que todo o conte\u00fado desapare\u00e7a imediatamente. O prazo de 30 dias ap\u00f3s o t\u00e9rmino do contrato para exporta\u00e7\u00e3o de dados n\u00e3o constitui um prazo para exclus\u00e3o autom\u00e1tica. Clientes corporativos podem solicitar a exclus\u00e3o de conte\u00fado por escrito, enquanto c\u00f3pias de backup padr\u00e3o podem continuar sujeitas a obriga\u00e7\u00f5es de confidencialidade. O <a href=\"https:\/\/lumalabs.ai\/legal\/privacy-policy\">pol\u00edtica de privacidade<\/a> tamb\u00e9m descreve exce\u00e7\u00f5es legais e outras exce\u00e7\u00f5es relacionadas \u00e0 reten\u00e7\u00e3o.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Os termos comuns de uso livre incluem direitos mais amplos de exibi\u00e7\u00e3o p\u00fablica e distribui\u00e7\u00e3o. A exclus\u00e3o de uma conta comum n\u00e3o revoga as licen\u00e7as relativas a materiais j\u00e1 incorporados em modelos, sistemas ou dados agregados. O nome de um modelo do Ray, por si s\u00f3, n\u00e3o permite identificar o contrato aplic\u00e1vel nem determinar como uma plataforma independente, incluindo a GlobalGPT, armazena as m\u00eddias enviadas e os clipes gerados.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Verifica\u00e7\u00e3o a ser realizada:<\/strong> Confirme a cobertura do plano API ou Enterprise para prote\u00e7\u00e3o sem treinamento. A exclus\u00e3o normal da conta n\u00e3o revoga os direitos sobre o conte\u00fado j\u00e1 incorporado a modelos, sistemas ou dados agregados.<\/p>\n\n\n\n<h3 id=\"policy-minimax\" class=\"wp-block-heading\">API MiniMax: a melhoria do servi\u00e7o \u00e9 expl\u00edcita, mas o escopo do treinamento ainda n\u00e3o foi definido<\/h3>\n\n\n\n<p class=\"models\"><strong>Itens do cat\u00e1logo:<\/strong> MiniMax-H3.<\/p>\n\n\n\n<p class=\"scope\"><strong>\u00c2mbito:<\/strong> Termos da plataforma API MiniMax; o tratamento de servi\u00e7os ao consumidor Hailuo n\u00e3o est\u00e1 definido aqui.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Treinamento:<\/strong> Os termos da API MiniMax permitem o uso de conte\u00fado de entrada e gerado para o desenvolvimento e aprimoramento do servi\u00e7o. Eles n\u00e3o estabelecem, neste contexto, uma proibi\u00e7\u00e3o geral de treinamento nem um escopo preciso para o treinamento.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">O <a href=\"https:\/\/platform.minimax.io\/protocol\/terms-of-service\">Termos da API MiniMax<\/a> permitir que as entradas e o conte\u00fado gerado sejam utilizados para fornecer, manter, desenvolver e aprimorar os servi\u00e7os, al\u00e9m de fins de seguran\u00e7a e legais. Trata-se de uma autoriza\u00e7\u00e3o expl\u00edcita para aprimoramento. N\u00e3o \u00e9 prova suficiente afirmar que toda solicita\u00e7\u00e3o treina um modelo, e isso n\u00e3o constitui uma promessa geral de que n\u00e3o haver\u00e1 treinamento.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">O <a href=\"https:\/\/platform.minimax.io\/protocol\/privacy-policy\">Pol\u00edtica de privacidade da API<\/a> limita o uso de dados pessoais para treinamento com o objetivo de criar perfis ou direcionar an\u00fancios aos consumidores. A limita\u00e7\u00e3o da finalidade \u00e9 importante: resumir essa regra para \u201cMiniMax n\u00e3o utiliza dados pessoais para treinamento\u201d alteraria seu significado. A mesma pol\u00edtica utiliza crit\u00e9rios de finalidade necess\u00e1ria e de reten\u00e7\u00e3o legal, em vez de um prazo fixo de vida \u00fatil de entrada\/sa\u00edda.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Nenhum mecanismo espec\u00edfico de exclus\u00e3o do treinamento, nenhum compromisso universal de n\u00e3o revis\u00e3o humana e nenhum acordo comercial separado de n\u00e3o treinamento foram estabelecidos neste caso. A exclus\u00e3o de dados pessoais ou a revoga\u00e7\u00e3o do consentimento n\u00e3o devem substituir um controle de treinamento. Essas conclus\u00f5es dizem respeito \u00e0 plataforma de API, e n\u00e3o ao servi\u00e7o ao consumidor Hailuo. As etiquetas de \u00e1udio ou v\u00eddeo MiniMax da GlobalGPT ainda precisam de um caminho exato e de um acordo antes que uma classifica\u00e7\u00e3o de privacidade mais rigorosa seja justificada.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Verifica\u00e7\u00e3o a ser realizada:<\/strong> N\u00e3o foi estabelecida uma op\u00e7\u00e3o de exclus\u00e3o espec\u00edfica para treinamento. Os direitos de exclus\u00e3o ou revoga\u00e7\u00e3o de dados pessoais s\u00e3o controles distintos, e quaisquer restri\u00e7\u00f5es comerciais espec\u00edficas exigem confirma\u00e7\u00e3o para esta conta.<\/p>\n\n\n\n<h3 id=\"related-xai-video-model-policies\" class=\"wp-block-heading\">Grok Imagine, Grok Imagine 1,5<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Para o Grok Imagine, o compromisso oficial com a API da xAI depende da cobertura da API. A distribui\u00e7\u00e3o de m\u00eddia e as restri\u00e7\u00f5es de reten\u00e7\u00e3o zero exigem aten\u00e7\u00e3o especial: os links de imagens ou v\u00eddeos gerados podem ter um tempo de vida diferente do dos registros de solicita\u00e7\u00f5es.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Veja <a href=\"#policy-xai\">API Grok: sem treinamento por padr\u00e3o, com controles de reten\u00e7\u00e3o separados<\/a> para os termos publicados aplic\u00e1veis e os campos n\u00e3o preenchidos.<\/p>\n\n\n\n<h3 id=\"policy-happyhorse\" class=\"wp-block-heading\">Happy Horse: o acordo de acesso ainda n\u00e3o foi confirmado<\/h3>\n\n\n\n<p class=\"models\"><strong>Itens do cat\u00e1logo:<\/strong> Happy Horse 1.0.<\/p>\n\n\n\n<p class=\"scope\"><strong>\u00c2mbito:<\/strong> Inscri\u00e7\u00e3o na plataforma Happy Horse; a identidade do remetente e os termos aplic\u00e1veis ao tratamento de dados ainda n\u00e3o foram confirmados.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Treinamento:<\/strong> Ainda n\u00e3o foi estabelecida uma pol\u00edtica de treinamento espec\u00edfica para o modelo Happy Horse. N\u00e3o se deve inferir nem permiss\u00e3o nem proibi\u00e7\u00e3o com base apenas no r\u00f3tulo do modelo.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">A Happy Horse continua sendo um caso de pol\u00edtica indeterminada, pois os termos espec\u00edficos do modelo aplic\u00e1veis ao processamento de dados ainda n\u00e3o foram estabelecidos. O nome da plataforma n\u00e3o \u00e9 suficiente para identificar o provedor respons\u00e1vel nem para determinar o contrato que rege uma solicita\u00e7\u00e3o de v\u00eddeo.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Isso deixa sem resposta as quest\u00f5es relacionadas ao tratamento de m\u00eddia de refer\u00eancia, permiss\u00e3o para treinamento, disponibilidade de op\u00e7\u00e3o de exclus\u00e3o, condi\u00e7\u00f5es de reten\u00e7\u00e3o e revis\u00e3o. O fato de um clipe gerado estar dispon\u00edvel para download n\u00e3o indica se outras c\u00f3pias ou registros permanecem. A evid\u00eancia correta a ser considerada em seguida \u00e9 o pr\u00f3prio servi\u00e7o de origem e o contrato correspondente; nem uma garantia de aus\u00eancia de treinamento nem uma alega\u00e7\u00e3o de treinamento inevit\u00e1vel se justificam com base nas informa\u00e7\u00f5es atuais.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Verifica\u00e7\u00e3o a ser realizada:<\/strong> O contrato efetivo com o prestador de servi\u00e7os, os controles de treinamento e as exce\u00e7\u00f5es corporativas precisam ser confirmados. N\u00e3o atribua uma identidade de fornecedor nem herde os controles de privacidade de outro modelo sem comprova\u00e7\u00e3o.<\/p>\n\n\n\n<h3 id=\"policy-flux-video\" class=\"wp-block-heading\">V\u00eddeo do FLUX 3: n\u00e3o herdar termos do modelo de imagem<\/h3>\n\n\n\n<p class=\"models\"><strong>Itens do cat\u00e1logo:<\/strong> V\u00eddeo do FLUX 3.<\/p>\n\n\n\n<p class=\"scope\"><strong>\u00c2mbito:<\/strong> Inscri\u00e7\u00e3o na plataforma de v\u00eddeo FLUX 3; o mapeamento de fornecedores e servi\u00e7os ainda n\u00e3o foi confirmado.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Treinamento:<\/strong> N\u00e3o h\u00e1 nenhuma pol\u00edtica de treinamento espec\u00edfica para o modelo FLUX 3 Video. O fato de a marca ser semelhante n\u00e3o justifica a aplica\u00e7\u00e3o dos termos de servi\u00e7o de imagens da Black Forest Labs a esta entrada.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">O FLUX 3 Video precisa de sua pr\u00f3pria identifica\u00e7\u00e3o de servi\u00e7o e de uma pol\u00edtica de tratamento de dados aplic\u00e1vel. O fato de haver uma palavra em comum no nome n\u00e3o prova que o conte\u00fado seja fornecido pela Black Forest Labs ou regido pelos termos de uso da imagem do FLUX.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">A permiss\u00e3o para treinamento, os controles de exclus\u00e3o, a reten\u00e7\u00e3o e a revis\u00e3o humana continuam sem confirma\u00e7\u00e3o para essa rota de v\u00eddeo. Nenhum desses aspectos deve ser extra\u00eddo de um endpoint de imagem ou inferido a partir da marca do modelo. A falta de evid\u00eancias sustenta uma classifica\u00e7\u00e3o \u201cdesconhecida\u201d, e n\u00e3o uma afirma\u00e7\u00e3o de que o conte\u00fado deva ser usado para treinamento ou de que o servi\u00e7o ofere\u00e7a prote\u00e7\u00e3o corporativa sem treinamento.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Verifica\u00e7\u00e3o a ser realizada:<\/strong> Identifique o fornecedor efetivo e o contrato de v\u00eddeo antes de atribuir a op\u00e7\u00e3o de exclus\u00e3o do treinamento ou a cobertura corporativa. O uso compartilhado de uma marca n\u00e3o constitui prova suficiente de prote\u00e7\u00e3o contratual.<\/p>\n\n\n\n<h3 id=\"related-agnes-video-model-policies\" class=\"wp-block-heading\">Agnes Video 2.0, Agnes Video 2.5, Agnes Video 2.5 Flash<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Os v\u00eddeos inscritos compartilham a quest\u00e3o ainda n\u00e3o resolvida sobre a identidade do servi\u00e7o descrita para o Agnes Image. N\u00e3o foram estabelecidas, para essas vers\u00f5es em v\u00eddeo, nenhuma permiss\u00e3o de treinamento espec\u00edfica para o modelo, nenhum cronograma de reten\u00e7\u00e3o nem nenhuma op\u00e7\u00e3o de recusa.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Veja <a href=\"#policy-agnes\">Agnes: ainda \u00e9 necess\u00e1ria uma pol\u00edtica bem definida<\/a> para os termos publicados aplic\u00e1veis e os campos n\u00e3o preenchidos.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Quando voc\u00ea reutiliza material de refer\u00eancia para <a href=\"https:\/\/www.glbgpt.com\/hub\/ai-video-consistency\/\">personagens de v\u00eddeo gerados por IA consistentes<\/a>, o mesmo rosto ou produto identific\u00e1vel pode ser enviado em v\u00e1rias solicita\u00e7\u00f5es. Verifique a pol\u00edtica de cada servi\u00e7o envolvido, incluindo ferramentas separadas de voz ou sincroniza\u00e7\u00e3o labial.<\/p>\n\n\n\n<h2 id=\"audio-model-policies\" class=\"wp-block-heading\">Pol\u00edticas de Privacidade de \u00c1udio, M\u00fasica e Fala com IA<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">A privacidade do \u00e1udio abrange mais do que apenas o arquivo MP3 final. Letras de m\u00fasicas, roteiros, grava\u00e7\u00f5es de refer\u00eancia, amostras de voz e transcri\u00e7\u00f5es podem ter diferentes usos e per\u00edodos de reten\u00e7\u00e3o. O consentimento para clonar a voz de algu\u00e9m tamb\u00e9m \u00e9 distinto da permiss\u00e3o para usar essa grava\u00e7\u00e3o no treinamento de modelos.<\/p>\n\n\n\n<h3 id=\"related-alibaba-audio-model-policies\" class=\"wp-block-heading\">Qwen \u00c1udio 3.0<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Para essas entradas de m\u00eddia, confirme primeiro se a solicita\u00e7\u00e3o utiliza o servi\u00e7o Bailian abrangido, um contrato de API separado ou outro provedor. O r\u00f3tulo do cat\u00e1logo n\u00e3o determina a cobertura contratual. M\u00eddias de refer\u00eancia, scripts e arquivos gerados tamb\u00e9m necessitam de controles de armazenamento e acesso al\u00e9m da cl\u00e1usula geral relativa aos dados de conversas.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Veja <a href=\"#policy-alibaba\">Qwen e Wan: a Bailian do continente apresenta importantes exce\u00e7\u00f5es ao plano<\/a> para os termos publicados aplic\u00e1veis e os campos n\u00e3o preenchidos.<\/p>\n\n\n\n<h3 id=\"related-bytedance-audio-model-policies\" class=\"wp-block-heading\">Seed Audio 1.0<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Para esses registros, o compromisso p\u00fablico relevante continua sendo a cl\u00e1usula do modelo de base da BytePlus. Os quadros enviados, o \u00e1udio de refer\u00eancia e a m\u00eddia gerada exigem uma avalia\u00e7\u00e3o de armazenamento espec\u00edfica. O mapeamento de servi\u00e7os da Seed Audio ainda n\u00e3o foi confirmado; n\u00e3o se deve presumir que a cobertura da BytePlus se aplique apenas por causa do nome \u201cSeed\u201d.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Veja <a href=\"#policy-bytedance\">Seedream e Seedance: a prote\u00e7\u00e3o BytePlus \u00e9 espec\u00edfica para cada servi\u00e7o<\/a> para os termos publicados aplic\u00e1veis e os campos n\u00e3o preenchidos.<\/p>\n\n\n\n<h3 id=\"policy-elevenlabs\" class=\"wp-block-heading\">ElevenLabs: uma op\u00e7\u00e3o de exclus\u00e3o de treinamento prospectiva<\/h3>\n\n\n\n<p class=\"models\"><strong>Itens do cat\u00e1logo:<\/strong> Eleven Music; Eleven Multilingual v2; Eleven v3.<\/p>\n\n\n\n<p class=\"scope\"><strong>\u00c2mbito:<\/strong> Servi\u00e7os padr\u00e3o ElevenLabs; o processamento corporativo\/comercial \u00e9 regulamentado separadamente.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Treinamento:<\/strong> Os termos padr\u00e3o do ElevenLabs permitem o uso de conte\u00fado relacionado a treinamento e oferecem a op\u00e7\u00e3o de recusa. O tratamento de dados para clientes corporativos ou empresariais depende do contrato aplic\u00e1vel e do Adendo de Tratamento de Dados.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">O ElevenLabs oferece uma op\u00e7\u00e3o documentada, em vez de uma configura\u00e7\u00e3o padr\u00e3o incondicional que exclui o treinamento, para seus servi\u00e7os padr\u00e3o. Seu <a href=\"https:\/\/elevenlabs.io\/terms-of-use\">termos<\/a> permite que os usu\u00e1rios optem por n\u00e3o permitir o uso de seu conte\u00fado para treinamento por meio do menu \u201cUso de dados\u201d, na se\u00e7\u00e3o \u201cTermos e Privacidade\u201d. A altera\u00e7\u00e3o n\u00e3o anula usos anteriores nem os materiais resultantes desses usos.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">O <a href=\"https:\/\/elevenlabs.io\/privacy-policy\">pol\u00edtica de privacidade<\/a> explica separadamente que o tratamento de dados pessoais em nome de clientes corporativos ou empresariais \u00e9 regido pelo contrato entre as partes e pelo Adendo de Tratamento de Dados. Consequentemente, uma conta padr\u00e3o, um contrato corporativo e uma integra\u00e7\u00e3o por API n\u00e3o devem ser tratados como intercambi\u00e1veis simplesmente porque utilizam o mesmo modelo de voz ou m\u00fasica.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Para entradas relacionadas ao Eleven Music, Eleven Multilingual ou Eleven v3, verifique o produto original, a conta e a op\u00e7\u00e3o de treinamento. A configura\u00e7\u00e3o do GlobalGPT n\u00e3o foi confirmada aqui. A op\u00e7\u00e3o de recusa n\u00e3o implica reten\u00e7\u00e3o zero, links de sa\u00edda privados ou a aus\u00eancia de revis\u00e3o de seguran\u00e7a. A permiss\u00e3o para clonar ou reproduzir a voz de algu\u00e9m tamb\u00e9m \u00e9 independente da possibilidade de o provedor usar o conte\u00fado enviado para aprimorar seus modelos.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Verifica\u00e7\u00e3o a ser realizada:<\/strong> O menu \u201cTermos e Privacidade &gt; Uso de dados\u201d da conta oferece a op\u00e7\u00e3o de recusa do treinamento. Verifique se a configura\u00e7\u00e3o est\u00e1 ativa e qual \u00e9 o seu escopo; o consentimento para a clonagem de voz \u00e9 um requisito \u00e0 parte.<\/p>\n\n\n\n<h3 id=\"policy-mureka\" class=\"wp-block-heading\">Mureka: os termos atuais do acordo de controle ainda precisam ser confirmados<\/h3>\n\n\n\n<p class=\"models\"><strong>Itens do cat\u00e1logo:<\/strong> Mureka v9.<\/p>\n\n\n\n<p class=\"scope\"><strong>\u00c2mbito:<\/strong> Inclus\u00e3o da plataforma Mureka v9; os termos atuais do servi\u00e7o de controle e o contrato de API ainda n\u00e3o foram confirmados.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Treinamento:<\/strong> Os termos de controle atuais n\u00e3o foram verificados para este modelo e servi\u00e7o. N\u00e3o se deve invocar, com base em evid\u00eancias incompletas, nem uma garantia de aus\u00eancia de treinamento nem a necessidade inevit\u00e1vel de treinamento.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">O Mureka v9 deve permanecer sem classifica\u00e7\u00e3o para treinamento at\u00e9 que o atual acordo de controle seja confirmado. O Mureka publica <a href=\"https:\/\/www.mureka.ai\/terms\">termos de servi\u00e7o<\/a> e um <a href=\"https:\/\/www.mureka.ai\/privacy\">pol\u00edtica de privacidade<\/a>, mas as evid\u00eancias dispon\u00edveis para essa compara\u00e7\u00e3o n\u00e3o determinam qual vers\u00e3o atual rege a rota de acesso efetiva desse modelo. O texto da ap\u00f3lice mais antigo n\u00e3o deve ser apresentado como uma promessa ou permiss\u00e3o atual.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Essa incerteza vai al\u00e9m de uma simples resposta de \u201csim\u201d ou \u201cn\u00e3o\u201d em rela\u00e7\u00e3o ao treinamento. O tratamento dado \u00e0s letras enviadas, aos \u00e1udios de refer\u00eancia, \u00e0s m\u00fasicas geradas e \u00e0s informa\u00e7\u00f5es da conta pode variar, assim como os contratos de servi\u00e7os comuns e de API. Um direito geral de revogar o uso do conte\u00fado n\u00e3o significa automaticamente uma op\u00e7\u00e3o de exclus\u00e3o espec\u00edfica do treinamento, e uma solicita\u00e7\u00e3o de exclus\u00e3o n\u00e3o garante que todas as categorias de dados sigam o mesmo prazo.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Por enquanto, a conclus\u00e3o relevante \u00e9 espec\u00edfica: a permiss\u00e3o atual para treinamento, os controles de treinamento, os per\u00edodos de reten\u00e7\u00e3o e as exce\u00e7\u00f5es comerciais permanecem sem confirma\u00e7\u00e3o. Isso n\u00e3o prova que a Mureka realize treinamento com material do cliente, nem que garanta a aus\u00eancia de treinamento. \u00c9 necess\u00e1rio o mapeamento exato do modelo da GlobalGPT e o contrato aplic\u00e1vel antes que qualquer afirma\u00e7\u00e3o possa ser feita sobre sua entrada na Mureka.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Verifica\u00e7\u00e3o a ser realizada:<\/strong> A op\u00e7\u00e3o de exclus\u00e3o espec\u00edfica para treinamento e quaisquer exce\u00e7\u00f5es relacionadas \u00e0 API ou \u00e0 empresa continuam sem confirma\u00e7\u00e3o. Uma licen\u00e7a geral e revog\u00e1vel de conte\u00fado n\u00e3o estabelece um controle eficaz sobre o treinamento.<\/p>\n\n\n\n<h3 id=\"policy-google-audio\" class=\"wp-block-heading\">Lyria: o aprimoramento do produto e o treinamento sobre modelos de seguran\u00e7a s\u00e3o diferentes<\/h3>\n\n\n\n<p class=\"models\"><strong>Itens do cat\u00e1logo:<\/strong> Google Lyria 3 (p\u00e1gina inicial).<\/p>\n\n\n\n<p class=\"scope\"><strong>\u00c2mbito:<\/strong> Lyria por meio da API Gemini; o selo Lyria 3 da plataforma exige um mapeamento exato de modelos e servi\u00e7os.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Treinamento:<\/strong> A API Gemini paga exclui o uso de prompts e respostas para fins de aprimoramento de produtos. Os dados de monitoramento de abusos incluem uma exce\u00e7\u00e3o para modelos de treinamento utilizados especificamente para a aplica\u00e7\u00e3o de pol\u00edticas.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Documentos do Google <a href=\"https:\/\/ai.google.dev\/gemini-api\/docs\/models\/lyria-3-pro-preview\">Pr\u00e9via do Lyria 3 Pro na API Gemini<\/a>. Isso define um contexto oficial de servi\u00e7o, mas n\u00e3o comprova que uma marca de plataforma chamada Lyria 3 utilize exatamente esse modelo ou conta. A categoria de servi\u00e7o aplic\u00e1vel \u2014 paga ou gratuita \u2014 continua sendo relevante.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Sob o <a href=\"https:\/\/ai.google.dev\/gemini-api\/terms\">termos do servi\u00e7o pago<\/a>, O Google n\u00e3o utiliza prompts nem respostas para aprimorar seus produtos. Os servi\u00e7os n\u00e3o pagos geralmente permitem o uso para fins de aprimoramento e revis\u00e3o humana, sujeito a exce\u00e7\u00f5es regionais. Essas categorias n\u00e3o devem ser combinadas com o aplicativo Gemini para consumidores nem com outros servi\u00e7os do Google Cloud.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">O <a href=\"https:\/\/ai.google.dev\/gemini-api\/docs\/abuse-monitoring\">pol\u00edtica de monitoramento de abusos<\/a> especifica um per\u00edodo de reten\u00e7\u00e3o de 55 dias para prompts, contexto e resultados, e permite que pessoal autorizado analise o conte\u00fado sinalizado. Os dados registrados n\u00e3o s\u00e3o utilizados para treinamento de IA\/ML, exceto no caso de modelos especificamente utilizados para a aplica\u00e7\u00e3o de pol\u00edticas. Portanto, uma promessa de que nenhum modelo de IA jamais aprenda com os dados seria muito ampla. A elegibilidade para reten\u00e7\u00e3o zero espec\u00edfica da Lyria e as configura\u00e7\u00f5es de upstream do GlobalGPT permanecem n\u00e3o confirmadas.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Verifica\u00e7\u00e3o a ser realizada:<\/strong> Confirme o status de projeto pago e o servi\u00e7o espec\u00edfico da Lyria. N\u00e3o descreva a pol\u00edtica como uma proibi\u00e7\u00e3o total do treinamento de IA, pois os modelos de aplica\u00e7\u00e3o de pol\u00edticas est\u00e3o expressamente isentos.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Os dados de entrada em <a href=\"https:\/\/www.glbgpt.com\/hub\/elevenlabs-music-v2-review\/\">gera\u00e7\u00e3o musical com ElevenLabs<\/a> diferenciam-se dos roteiros de narra\u00e7\u00e3o utilizados em <a href=\"https:\/\/www.glbgpt.com\/hub\/qwen3-tts-review\/\">Qwen convers\u00e3o de texto em fala<\/a>. Leve em considera\u00e7\u00e3o a letra da m\u00fasica, o roteiro confidencial ou a voz reconhec\u00edvel que voc\u00ea est\u00e1 enviando antes de escolher qualquer um dos servi\u00e7os.<\/p>\n\n\n\n<h2 id=\"3d-model-policies\" class=\"wp-block-heading\">Pol\u00edticas de Privacidade de Modelos 3D de IA<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Uma solicita\u00e7\u00e3o 3D pode apresentar um produto sob v\u00e1rios \u00e2ngulos e gerar geometria, texturas e materiais reutiliz\u00e1veis. A privacidade das fotos enviadas, as permiss\u00f5es para treinamento de modelos, a visibilidade da galeria de recursos e a reten\u00e7\u00e3o de malhas s\u00e3o quest\u00f5es distintas.<\/p>\n\n\n\n<h3 id=\"policy-hunyuan\" class=\"wp-block-heading\">Hunyuan3D: A Tencent Cloud protege os dados de entrada contra o aprimoramento n\u00e3o autorizado de modelos<\/h3>\n\n\n\n<p class=\"models\"><strong>Itens do cat\u00e1logo:<\/strong> Hunyuan 3D 3.1.<\/p>\n\n\n\n<p class=\"scope\"><strong>\u00c2mbito:<\/strong> A API Hunyuan3D da Tencent Cloud e seus termos relativos a modelos de grande porte incorporados<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Treinamento:<\/strong> A Tencent Cloud exclui o conte\u00fado de entrada do desenvolvimento e aprimoramento de algoritmos ou modelos sem consentimento espec\u00edfico. A cl\u00e1usula citada n\u00e3o prev\u00ea expressamente a mesma proibi\u00e7\u00e3o para os resultados.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Da Tencent Cloud <a href=\"https:\/\/cloud.tencent.com\/document\/product\/1804\/122967\">Termos do produto Hunyuan3D<\/a> incorporar explicitamente os termos de servi\u00e7o relativos aos modelos de grande porte. A cl\u00e1usula 4.2 desses <a href=\"https:\/\/cloud.tencent.com\/document\/product\/301\/97822\">termos de servi\u00e7o<\/a> afirma que o conte\u00fado inserido n\u00e3o ser\u00e1 utilizado para desenvolver ou aprimorar algoritmos ou modelos do servi\u00e7o sem autoriza\u00e7\u00e3o espec\u00edfica. Trata-se de uma prote\u00e7\u00e3o espec\u00edfica para os dados inseridos no servi\u00e7o em nuvem.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">A reda\u00e7\u00e3o do texto \u00e9 importante para fluxos de trabalho de convers\u00e3o de imagem para 3D: uma imagem de refer\u00eancia enviada \u00e9 diferente da malha ou textura resultante. A cl\u00e1usula abrange expressamente as entradas. Ela n\u00e3o estabelece uma proibi\u00e7\u00e3o igualmente expl\u00edcita quanto ao treinamento com sa\u00eddas; portanto, os clientes que precisarem de prote\u00e7\u00e3o para todos os ativos gerados devem obter uma confirma\u00e7\u00e3o que abranja tamb\u00e9m essa categoria.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">A cl\u00e1usula 2.13 descreve o tratamento de dados na China continental e a reten\u00e7\u00e3o pelo per\u00edodo necess\u00e1rio para a presta\u00e7\u00e3o do servi\u00e7o. Ap\u00f3s o t\u00e9rmino do tratamento, o uso dos dados \u00e9 interrompido, ou os dados s\u00e3o devolvidos ou exclu\u00eddos de acordo com as instru\u00e7\u00f5es, sujeito a exce\u00e7\u00f5es legais e t\u00e9cnicas. N\u00e3o h\u00e1 um n\u00famero fixo de dias de reten\u00e7\u00e3o nesta disposi\u00e7\u00e3o.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">A cl\u00e1usula 2.9 permite a an\u00e1lise de seguran\u00e7a dos dados de entrada e dos resultados gerados. A restri\u00e7\u00e3o ao uso dos dados de entrada, portanto, n\u00e3o significa que o conte\u00fado seja isento de an\u00e1lise ou que todo o acesso do provedor seja impedido. Esses compromissos da Tencent Cloud tamb\u00e9m n\u00e3o abrangem automaticamente o site de consumidores da Hunyuan, um modelo auto-hospedado ou a implanta\u00e7\u00e3o de outro provedor. Um selo do modelo GlobalGPT n\u00e3o identifica qual acordo se aplica.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Verifica\u00e7\u00e3o a ser realizada:<\/strong> A autoriza\u00e7\u00e3o separada constitui a exce\u00e7\u00e3o declarada ao uso de dados de entrada. Confirme a cobertura do contrato da Tencent Cloud; o site de consumidores da Hunyuan, os modelos abertos e outros servidores n\u00e3o compartilham automaticamente esses termos.<\/p>\n\n\n\n<h3 id=\"policy-meshy\" class=\"wp-block-heading\">Meshy: Direitos de treinamento e regras distintas para reten\u00e7\u00e3o de ativos 3D<\/h3>\n\n\n\n<p class=\"models\"><strong>Itens do cat\u00e1logo:<\/strong> Meshy 7.<\/p>\n\n\n\n<p class=\"scope\"><strong>\u00c2mbito:<\/strong> Servi\u00e7os Meshy comuns, API e Enterprise; exce\u00e7\u00f5es espec\u00edficas de pedidos<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Treinamento:<\/strong> O Meshy permite o uso de entradas e sa\u00eddas que n\u00e3o sejam da Enterprise para treinar, validar, testar ou aprimorar servi\u00e7os, a menos que o pedido indique o contr\u00e1rio. A exclus\u00e3o da Enterprise exige a verifica\u00e7\u00e3o da prote\u00e7\u00e3o contratual efetiva.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Meshy\u2019s <a href=\"https:\/\/www.meshy.ai\/terms-of-use\">termos<\/a> permitir o uso de entradas e sa\u00eddas de clientes que n\u00e3o sejam do Enterprise para treinar, validar, testar ou aprimorar seus servi\u00e7os, a menos que a ordem disponha de outra forma. No caso da gera\u00e7\u00e3o 3D, isso pode abranger o material de refer\u00eancia enviado e os ativos gerados. Clientes pagantes comuns n\u00e3o s\u00e3o automaticamente exclu\u00eddos dessa permiss\u00e3o.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">A cl\u00e1usula relativa \u00e0 permiss\u00e3o para treinamento exclui os clientes Enterprise. Isso \u00e9 significativo, mas a exclus\u00e3o, por si s\u00f3, n\u00e3o constitui uma garantia de que nenhuma categoria de dados corporativos ser\u00e1 utilizada para qualquer tipo de treinamento. Um contrato Enterprise deve estabelecer a restri\u00e7\u00e3o espec\u00edfica, seu escopo e quaisquer condi\u00e7\u00f5es de tratamento acordadas separadamente.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">A reten\u00e7\u00e3o possui regras de ativos excepcionalmente concretas: as sa\u00eddas da API que n\u00e3o sejam da vers\u00e3o Enterprise s\u00e3o exclu\u00eddas tr\u00eas dias ap\u00f3s a gera\u00e7\u00e3o. As sa\u00eddas da vers\u00e3o Enterprise s\u00e3o retidas indefinidamente por padr\u00e3o, com exclus\u00e3o autom\u00e1tica configur\u00e1vel de um a 30 dias ou um per\u00edodo diferente. Essas regras se referem aos objetos de sa\u00edda; elas n\u00e3o determinam a exclus\u00e3o correspondente de entradas, registros ou c\u00f3pias de treinamento.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Usu\u00e1rios pagantes comuns podem manter o conte\u00fado privado sem cancelar a permiss\u00e3o de treinamento. Os limites de armazenamento do aplicativo web e a limpeza de contas inativas voltaram a ser tratados separadamente. Os termos tamb\u00e9m excluem as entradas e sa\u00eddas dos clientes das Estat\u00edsticas Agregadas. Para projetos confidenciais, avalie a autoriza\u00e7\u00e3o de treinamento, a visibilidade das sa\u00eddas e cada categoria de armazenamento de forma independente, em vez de considerar um download que desaparece como um apagamento completo dos dados.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Verifica\u00e7\u00e3o a ser realizada:<\/strong> A op\u00e7\u00e3o de conte\u00fado privado pago n\u00e3o cancela a permiss\u00e3o de treinamento. Verifique as restri\u00e7\u00f5es corporativas ou espec\u00edficas do pedido e as configura\u00e7\u00f5es de reten\u00e7\u00e3o de resultados separadamente da visibilidade e da exclus\u00e3o geral da conta.<\/p>\n\n\n\n<h3 id=\"policy-tripo\" class=\"wp-block-heading\">Tripo: As entradas e sa\u00eddas dos usu\u00e1rios pagantes t\u00eam uma restri\u00e7\u00e3o expl\u00edcita de treinamento<\/h3>\n\n\n\n<p class=\"models\"><strong>Itens do cat\u00e1logo:<\/strong> Tripo h3.1.<\/p>\n\n\n\n<p class=\"scope\"><strong>\u00c2mbito:<\/strong> Se\u00e7\u00e3o de usu\u00e1rios pagos do Tripo; os servi\u00e7os gratuitos e as configura\u00e7\u00f5es de acesso variam<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Treinamento:<\/strong> Os termos de uso para usu\u00e1rios pagos da Tripo excluem explicitamente as entradas e sa\u00eddas relacionadas ao treinamento, \u00e0 valida\u00e7\u00e3o, aos testes ou ao aprimoramento da tecnologia de IA. Essa prote\u00e7\u00e3o n\u00e3o deve ser automaticamente estendida aos usu\u00e1rios gratuitos.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Tripo\u2019s <a href=\"https:\/\/www.tripo3d.ai\/terms\">Termos para usu\u00e1rios pagos<\/a> declarar expressamente que os dados de entrada e sa\u00edda n\u00e3o ser\u00e3o utilizados como dados de treinamento para treinar, validar, testar ou aprimorar a tecnologia de IA. Essa \u00e9 uma garantia mais espec\u00edfica do que simplesmente afirmar que os usu\u00e1rios s\u00e3o propriet\u00e1rios dos modelos gerados, pois aborda diretamente o uso permitido pelo provedor.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">A declara\u00e7\u00e3o aparece na se\u00e7\u00e3o destinada a usu\u00e1rios pagantes. Os usu\u00e1rios gratuitos t\u00eam disposi\u00e7\u00f5es distintas e mais amplas sobre direitos de conte\u00fado; portanto, uma conta gratuita n\u00e3o deve herdar essa conclus\u00e3o relativa ao servi\u00e7o pago. Da mesma forma, o pagamento do GlobalGPT, por si s\u00f3, n\u00e3o determina qual conta Tripo, acordo de API ou contrato posterior rege uma determinada solicita\u00e7\u00e3o de modelo.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">O armazenamento e a publica\u00e7\u00e3o continuam sendo quest\u00f5es distintas. O Tripo n\u00e3o se compromete a preservar as entradas e sa\u00eddas por um per\u00edodo fixo comum. O encerramento da conta pode remover o conte\u00fado da conta, mas o material anteriormente publicado em \u00e1reas p\u00fablicas pode ser mantido permanentemente. O <a href=\"https:\/\/www.tripo3d.ai\/privacy\">pol\u00edtica de privacidade<\/a> tamb\u00e9m oferece uma op\u00e7\u00e3o para solicitar o cancelamento da conta.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Os usu\u00e1rios s\u00e3o respons\u00e1veis por selecionar um n\u00edvel adequado de acesso ao conte\u00fado, e os termos alertam que, caso nenhum n\u00edvel seja selecionado, a configura\u00e7\u00e3o padr\u00e3o poder\u00e1 ser a mais permissiva. Portanto, um compromisso pago sem treinamento n\u00e3o torna automaticamente privada uma imagem de refer\u00eancia ou um recurso 3D. Os clientes que precisarem de confidencialidade devem confirmar tanto a cobertura contratual quanto as configura\u00e7\u00f5es reais de acesso.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Verifica\u00e7\u00e3o a ser realizada:<\/strong> Verifique se os termos do servi\u00e7o pago aplic\u00e1veis abrangem a conta e a rota da API. Selecione as configura\u00e7\u00f5es de acesso ao conte\u00fado separadamente; a prote\u00e7\u00e3o paga contra treinamento n\u00e3o torna automaticamente os ativos privados.<\/p>\n\n\n\n<h3 id=\"policy-rodin\" class=\"wp-block-heading\">Rodin e Hyper3D: a prote\u00e7\u00e3o de dados privados tem um escopo definido<\/h3>\n\n\n\n<p class=\"models\"><strong>Itens do cat\u00e1logo:<\/strong> Rodin Gen-2.<\/p>\n\n\n\n<p class=\"scope\"><strong>\u00c2mbito:<\/strong> Termos do Hyper3D, pol\u00edtica de privacidade e armazenamento de recursos gerados pela API<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Treinamento:<\/strong> A Hyper3D restringe a exibi\u00e7\u00e3o de resultados privados do Rodin \u00e0 conta do usu\u00e1rio, de acordo com seus termos. Essa prote\u00e7\u00e3o limitada n\u00e3o estabelece uma proibi\u00e7\u00e3o abrangente de treinamento que inclua prompts, resultados comuns e o uso da API.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Da Hyper3D <a href=\"https:\/\/hyper3d.ai\/legal\/terms\">termos<\/a> oferecem uma prote\u00e7\u00e3o espec\u00edfica para os resultados do Rodin marcados como \u201cprivados\u201d: outros usu\u00e1rios n\u00e3o podem acess\u00e1-los, a menos que sejam compartilhados, e a Hyper3D afirma que n\u00e3o utilizar\u00e1 esses resultados, exceto para exibi-los na conta. Essa declara\u00e7\u00e3o se refere especificamente aos resultados privados, e n\u00e3o a todo o conte\u00fado enviado.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Consequentemente, a cl\u00e1usula de resultados privados n\u00e3o estabelece um acordo abrangente de proibi\u00e7\u00e3o de treinamento que cubra prompts, refer\u00eancias enviadas, resultados comuns ou todos os fluxos de trabalho da API. Um cliente que deseje proteger um produto ainda n\u00e3o lan\u00e7ado deve buscar uma solu\u00e7\u00e3o tanto para as imagens de refer\u00eancia quanto para a malha gerada. A situa\u00e7\u00e3o de uma categoria n\u00e3o resolve a da outra.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">O <a href=\"https:\/\/hyper3d.ai\/legal\/privacy\">pol\u00edtica de privacidade<\/a> relaciona a reten\u00e7\u00e3o de dados inseridos, coment\u00e1rios e rea\u00e7\u00f5es \u00e0 retirada, exclus\u00e3o ou desativa\u00e7\u00e3o da conta, seguida de exclus\u00e3o ou anonimiza\u00e7\u00e3o, sujeita a exce\u00e7\u00f5es. Por outro lado, o <a href=\"https:\/\/hyper3d.ai\/features\/api\">Oferta de API<\/a> anuncia a reten\u00e7\u00e3o por tempo indeterminado de ativos gerados por API. Essas declara\u00e7\u00f5es descrevem diferentes categorias de dados e devem ser lidas em conjunto.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">As disposi\u00e7\u00f5es de modera\u00e7\u00e3o de conte\u00fado ainda permitem o acesso a prompts e resultados; portanto, a visibilidade privada n\u00e3o garante que n\u00e3o haja revis\u00e3o. Para um modelo Rodin acessado por meio do GlobalGPT, \u00e9 necess\u00e1rio confirmar separadamente o contrato de API aplic\u00e1vel, as configura\u00e7\u00f5es de resultados privados e as pr\u00e1ticas de armazenamento da plataforma antes de considerar todo o fluxo de trabalho protegido contra o treinamento.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Verifica\u00e7\u00e3o a ser realizada:<\/strong> Marcar o conte\u00fado de Rodin como privado restringe o acesso de outros usu\u00e1rios e limita o uso especificado desse conte\u00fado. Confirme separadamente o tratamento de solicita\u00e7\u00f5es, os termos de treinamento da API e qualquer prote\u00e7\u00e3o empresarial antes de enviar refer\u00eancias confidenciais.<\/p>\n\n\n\n<h3 id=\"policy-trellis\" class=\"wp-block-heading\">TRELLIS: O provedor de hospedagem determina o tratamento dos dados<\/h3>\n\n\n\n<p class=\"models\"><strong>Itens do cat\u00e1logo:<\/strong> TRELLIS 3D.<\/p>\n\n\n\n<p class=\"scope\"><strong>\u00c2mbito:<\/strong> O projeto-modelo TRELLIS versus o servi\u00e7o que o executa<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Treinamento:<\/strong> O projeto TRELLIS n\u00e3o estabelece uma pol\u00edtica comum de proibi\u00e7\u00e3o de treinamento para todas as implanta\u00e7\u00f5es hospedadas. A permiss\u00e3o para treinamento depende do servi\u00e7o que processa as imagens de refer\u00eancia e os ativos gerados.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">O TRELLIS \u00e9 um projeto-modelo, e n\u00e3o um servi\u00e7o de hospedagem administrado de forma centralizada. O <a href=\"https:\/\/microsoft.github.io\/TRELLIS\/\">p\u00e1gina oficial do projeto da Microsoft<\/a> links para o c\u00f3digo e uma demonstra\u00e7\u00e3o. Esses recursos explicam a tecnologia e como acess\u00e1-la, mas n\u00e3o estabelecem um contrato de privacidade comum para todas as empresas que utilizam o modelo.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Em um fluxo de trabalho hospedado de convers\u00e3o de imagem para 3D, os dados relevantes podem incluir imagens de refer\u00eancia, geometria gerada, texturas e metadados da solicita\u00e7\u00e3o. O fato de o provedor utilizar esses materiais para treinamento depende dos termos de servi\u00e7o da pr\u00f3pria empresa e de qualquer contrato com o cliente. O licenciamento de c\u00f3digo aberto controla o uso do software ou do modelo; ele n\u00e3o responde a essa quest\u00e3o relacionada ao tratamento de dados.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Consequentemente, n\u00e3o h\u00e1 um per\u00edodo de reten\u00e7\u00e3o ou controle de exclus\u00e3o universal no TRELLIS. O anfitri\u00e3o pode aplicar regras diferentes a imagens enviadas, ativos finalizados, registros e c\u00f3pias de entrega. A remo\u00e7\u00e3o de um link de download n\u00e3o significa que todos os registros associados tenham sido apagados, e a propriedade da malha resultante n\u00e3o garante a confidencialidade.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">No caso do TRELLIS por meio do GlobalGPT ou de outra plataforma, a garantia necess\u00e1ria \u00e9 uma pol\u00edtica do provedor que abranja treinamento, armazenamento, acesso e exclus\u00e3o. A hospedagem pr\u00f3pria tamb\u00e9m exige o entendimento dos registros e das conex\u00f5es externas da implanta\u00e7\u00e3o. At\u00e9 que esses detalhes sejam estabelecidos, o status de privacidade do fluxo de trabalho hospedado permanece desconhecido; essa incerteza n\u00e3o constitui evid\u00eancia de que o treinamento realmente ocorra.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Verifica\u00e7\u00e3o a ser realizada:<\/strong> Identifique o provedor de hospedagem e o contrato aplic\u00e1vel e, em seguida, confirme os controles de uso, exclus\u00e3o e acesso. A disponibilidade de c\u00f3digo aberto, por si s\u00f3, n\u00e3o oferece nenhuma garantia quanto \u00e0 privacidade de um servi\u00e7o hospedado.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Para <a href=\"https:\/\/www.glbgpt.com\/hub\/hunyuan3d-3-1-rapid-review\/\">Gera\u00e7\u00e3o de imagens em 3D com o Hunyuan3D<\/a>, comece verificando quem hospeda o modelo e o que acontece com a foto enviada. O acesso a uma malha para download n\u00e3o significa necessariamente que a imagem original tenha sido exclu\u00edda.<\/p>\n\n\n\n<h2 id=\"globalgpt-policy\" class=\"wp-block-heading\">O que a Pol\u00edtica de Privacidade da GlobalGPT abrange<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">O <a href=\"https:\/\/www.glbgpt.com\/privacy-policy\">pol\u00edtica de privacidade<\/a> afirma: <q>N\u00e3o utilizamos o conte\u00fado dos usu\u00e1rios para treinar modelos de IA, a menos que isso seja explicitamente divulgado e autorizado.<\/q> Essa \u00e9 uma declara\u00e7\u00e3o com ressalvas sobre o pr\u00f3prio uso de conte\u00fado pela plataforma, e n\u00e3o uma promessa incondicional de que nenhum dado ser\u00e1, em hip\u00f3tese alguma, retido ou analisado.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">A mesma pol\u00edtica descreve o compartilhamento com prestadores de servi\u00e7os e a reten\u00e7\u00e3o de informa\u00e7\u00f5es pessoais para os fins para os quais foram coletadas e para o cumprimento das exig\u00eancias legais aplic\u00e1veis. Sua se\u00e7\u00e3o relacionada \u00e0 IA permite a revis\u00e3o humana quando necess\u00e1rio por motivos de seguran\u00e7a, preven\u00e7\u00e3o de abusos ou conformidade legal.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">O aviso p\u00fablico n\u00e3o fornece uma lista modelo a modelo dos contratos corporativos de fornecedores assinados, configura\u00e7\u00f5es de reten\u00e7\u00e3o ou permiss\u00f5es de treinamento. Por esse motivo, este artigo n\u00e3o indica que nenhum modelo espec\u00edfico tenha um contrato corporativo espec\u00edfico confirmado no GlobalGPT. As prote\u00e7\u00f5es aos provedores descritas acima se aplicam apenas quando o servi\u00e7o e o contrato relevantes regem a solicita\u00e7\u00e3o.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Para trabalhos confidenciais, solicite a confirma\u00e7\u00e3o do provedor ou host do modelo espec\u00edfico, a cl\u00e1usula de proibi\u00e7\u00e3o de treinamento aplic\u00e1vel, quaisquer exce\u00e7\u00f5es relativas ao feedback, os per\u00edodos de reten\u00e7\u00e3o para entradas e sa\u00eddas e o processo de exclus\u00e3o. O hist\u00f3rico da conta, os ativos gerados e os registros de auditoria de origem podem ser tratados separadamente.<\/p>\n\n\n\n<h3 id=\"tool-data-processors\" class=\"wp-block-heading\">As ferramentas podem envolver processadores de dados adicionais<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">O AI Note Taker, o ChatPDF, os assistentes de pesquisa, a tradu\u00e7\u00e3o de v\u00eddeos, a sincroniza\u00e7\u00e3o labial e as ferramentas de edi\u00e7\u00e3o de imagens podem envolver mais de um modelo ou servi\u00e7o. No caso de notas de reuni\u00f5es, por exemplo, um servi\u00e7o pode transcrever o \u00e1udio e outro pode resumir a transcri\u00e7\u00e3o. Ambos precisam de uma pol\u00edtica de dados aplic\u00e1vel.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">A compara\u00e7\u00e3o, que inclui 121 itens, abrange os modelos citados no instant\u00e2neo do cat\u00e1logo, em vez de considerar essas ferramentas como modelos b\u00e1sicos adicionais. Nesta an\u00e1lise, n\u00e3o foi estabelecida uma lista espec\u00edfica de processadores e regras de reten\u00e7\u00e3o para cada ferramenta.<\/p>\n\n\n\n<h2 id=\"manage-ai-data\" class=\"wp-block-heading\">Como gerenciar a privacidade dos seus dados de IA<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">A privacidade de dados na IA generativa envolve permiss\u00f5es de treinamento, reten\u00e7\u00e3o, acesso e compartilhamento em todo o fluxo de trabalho. Utilize as verifica\u00e7\u00f5es a seguir ao escolher um servi\u00e7o ou ao analisar uma conta existente.<\/p>\n\n\n\n<h3 id=\"privacy-action-1\" class=\"wp-block-heading\">Verifique a permiss\u00e3o de treinamento separadamente da permiss\u00e3o de armazenamento<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Procure uma cl\u00e1usula que abranja tanto as entradas quanto as sa\u00eddas. Anote se ela exclui o treinamento de modelos-base, todo o treinamento de modelos ou apenas uma finalidade mais restrita. Uma exce\u00e7\u00e3o para classificadores de seguran\u00e7a \u00e9 diferente da permiss\u00e3o para treinar um modelo de uso geral.<\/p>\n\n\n\n<h3 id=\"privacy-action-2\" class=\"wp-block-heading\">Utilize o procedimento de recusa documentado antes de enviar novos trabalhos<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Caso o servi\u00e7o ofere\u00e7a uma configura\u00e7\u00e3o de uso de dados, desative a permiss\u00e3o relevante e verifique quando ela entrar\u00e1 em vigor. Caso os termos exijam um e-mail ou contrato, utilize esse mecanismo. O cancelamento de assinatura de comunica\u00e7\u00f5es de marketing ou a configura\u00e7\u00e3o \u201cN\u00e3o rastrear\u201d do navegador n\u00e3o constituem uma op\u00e7\u00e3o de exclus\u00e3o do treinamento do modelo.<\/p>\n\n\n\n<h3 id=\"privacy-action-3\" class=\"wp-block-heading\">Definir a visibilidade da sa\u00edda de forma independente<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Confira galerias, links de compartilhamento, espa\u00e7os de trabalho p\u00fablicos e salas de colabora\u00e7\u00e3o. As configura\u00e7\u00f5es \u201cPrivado\u201d ou \u201cDiscreto\u201d dizem respeito \u00e0 visibilidade; elas n\u00e3o alteram automaticamente a licen\u00e7a de treinamento do provedor nem o acesso \u00e0 modera\u00e7\u00e3o.<\/p>\n\n\n\n<h3 id=\"privacy-action-4\" class=\"wp-block-heading\">Exclua os objetos de dados corretos<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Um bate-papo, um arquivo enviado, um recurso gerado, um perfil de voz e uma conta podem ter controles de exclus\u00e3o diferentes. Pergunte o que permanece nos backups, nos registros de auditoria e em sistemas de terceiros. Um link de download expirado n\u00e3o garante que todas as c\u00f3pias tenham sido apagadas.<\/p>\n\n\n\n<h3 id=\"privacy-action-5\" class=\"wp-block-heading\">Reduza o n\u00edvel de confidencialidade do que voc\u00ea enviar<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Utilize um contrato com informa\u00e7\u00f5es ocultadas, uma fotografia p\u00fablica do produto, um exemplo fict\u00edcio de cliente ou uma amostra de grava\u00e7\u00e3o autorizada quando isso for suficiente para a tarefa. Remova nomes desnecess\u00e1rios, n\u00fameros de conta, metadados ocultos e detalhes confidenciais do projeto antes do envio.<\/p>\n\n\n\n<h2 id=\"faq\" class=\"wp-block-heading\">Perguntas frequentes sobre privacidade de dados em IA<\/h2>\n\n\n\n<h3 id=\"faq-1\" class=\"wp-block-heading\">Quais modelos de IA n\u00e3o s\u00e3o treinados com seus dados?<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">V\u00e1rias APIs oficiais e servi\u00e7os corporativos oferecem prote\u00e7\u00f5es contra o treinamento, incluindo a API do OpenAI e os produtos comerciais do Anthropic, com as exce\u00e7\u00f5es indicadas. O servi\u00e7o, o contrato e as configura\u00e7\u00f5es aplic\u00e1veis determinam a prote\u00e7\u00e3o; o nome do modelo, por si s\u00f3, n\u00e3o \u00e9 determinante.<\/p>\n\n\n\n<h3 id=\"faq-2\" class=\"wp-block-heading\">O fato de pagar pela IA interrompe automaticamente o treinamento com meus dados?<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">N\u00e3o. Alguns servi\u00e7os pagos comuns ainda permitem o treinamento. Outros provedores distinguem entre acesso pago, por API e corporativo. Verifique a cl\u00e1usula de treinamento associada ao servi\u00e7o que voc\u00ea utiliza, em vez de tratar qualquer assinatura como um contrato corporativo.<\/p>\n\n\n\n<h3 id=\"faq-3\" class=\"wp-block-heading\">O DeepSeek utiliza meus dados para treinamento, e eu posso optar por n\u00e3o participar?<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">A pol\u00edtica de privacidade DeepSeek analisada permite o treinamento ou o aprimoramento de modelos e reconhece o direito de recusar o uso de dados pessoais para o treinamento de modelos ou a otimiza\u00e7\u00e3o t\u00e9cnica. Isso n\u00e3o estabelece uma op\u00e7\u00e3o de ativa\u00e7\u00e3o com um clique nem os termos de um aplicativo separado a jusante.<\/p>\n\n\n\n<h3 id=\"faq-4\" class=\"wp-block-heading\">Todas as APIs de IA s\u00e3o privadas por padr\u00e3o?<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">N\u00e3o. Os termos gerais da Kimi OpenPlatform permitem que o conte\u00fado do cliente seja utilizado para fins de treinamento, a menos que seja acordado de outra forma por escrito. Outras APIs t\u00eam configura\u00e7\u00f5es padr\u00e3o que pro\u00edbem o uso para treinamento. O armazenamento, o acesso por pessoas e o processamento por terceiros exigem verifica\u00e7\u00f5es espec\u00edficas em ambos os casos.<\/p>\n\n\n\n<h3 id=\"faq-5\" class=\"wp-block-heading\">A aus\u00eancia de treinamento significa que n\u00e3o h\u00e1 reten\u00e7\u00e3o de dados?<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">N\u00e3o. Um servi\u00e7o pode excluir conte\u00fado do treinamento, mantendo-o, no entanto, para fins de gera\u00e7\u00e3o, hist\u00f3rico da conta, seguran\u00e7a ou requisitos legais. Controles de reten\u00e7\u00e3o zero podem exigir aprova\u00e7\u00e3o e podem excluir modelos, endpoints ou recursos espec\u00edficos.<\/p>\n\n\n\n<h3 id=\"faq-6\" class=\"wp-block-heading\">A gera\u00e7\u00e3o de imagens ou v\u00eddeos privados impede o treinamento?<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">N\u00e3o necessariamente. Uma configura\u00e7\u00e3o privada pode limitar o que outros usu\u00e1rios veem, sem alterar as permiss\u00f5es de treinamento. Verifique separadamente a visibilidade dos resultados e os termos de treinamento do modelo, incluindo quaisquer restri\u00e7\u00f5es no Stealth ou em espa\u00e7os de trabalho compartilhados.<\/p>\n\n\n\n<h3 id=\"faq-7\" class=\"wp-block-heading\">Os servi\u00e7os de voz e m\u00fasica podem usar minhas grava\u00e7\u00f5es para treinamento?<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Isso depende do servi\u00e7o. O ElevenLabs oferece a op\u00e7\u00e3o de recusa do treinamento em seus termos padr\u00e3o, enquanto outros servi\u00e7os podem utilizar acordos diferentes. Verifique os scripts, as grava\u00e7\u00f5es de refer\u00eancia, as amostras de voz e os resultados separadamente; o consentimento do propriet\u00e1rio da voz continua sendo um requisito \u00e0 parte.<\/p>\n\n\n\n<h3 id=\"faq-8\" class=\"wp-block-heading\">Os geradores 3D de IA podem ser treinados com os designs dos meus produtos?<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Alguns termos permitem esse uso. A cl\u00e1usula de treinamento n\u00e3o voltada para o setor empresarial da Meshy abrange entradas e sa\u00eddas, a menos que o Pedido indique o contr\u00e1rio. Os termos para usu\u00e1rios pagos da Tripo cont\u00eam uma cl\u00e1usula expl\u00edcita de proibi\u00e7\u00e3o de treinamento. Nenhuma dessas disposi\u00e7\u00f5es estabelece a cobertura contratual espec\u00edfica da GlobalGPT.<\/p>\n\n\n\n<h3 id=\"faq-9\" class=\"wp-block-heading\">A exclus\u00e3o do meu chat remove os dados j\u00e1 utilizados para treinamento?<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">A exclus\u00e3o de um bate-papo vis\u00edvel n\u00e3o implica, por si s\u00f3, a remo\u00e7\u00e3o de treinamentos anteriores, backups ou registros de seguran\u00e7a. V\u00e1rias op\u00e7\u00f5es de exclus\u00e3o s\u00e3o prospectivas. Leia as disposi\u00e7\u00f5es do provedor relativas \u00e0 exclus\u00e3o e ao consentimento para os dados e servi\u00e7os espec\u00edficos em quest\u00e3o.<\/p>\n\n\n\n<h3 id=\"faq-10\" class=\"wp-block-heading\">Todos os modelos da s\u00e9rie GlobalGPT contam com as mesmas prote\u00e7\u00f5es de privacidade?<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">A GlobalGPT publica sua pr\u00f3pria pol\u00edtica de privacidade, mas seu aviso p\u00fablico n\u00e3o estabelece um \u00fanico contrato corporativo de fornecimento para todos os modelos. Verifique o provedor espec\u00edfico, o contrato, as permiss\u00f5es de treinamento e as configura\u00e7\u00f5es de reten\u00e7\u00e3o do modelo que voc\u00ea pretende utilizar.<\/p>\n\n\n\n<h3 id=\"faq-11\" class=\"wp-block-heading\">O que significa um status de privacidade desconhecido?<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Isso significa que os termos aplic\u00e1veis, o mapeamento entre modelo e servi\u00e7o ou o campo espec\u00edfico da pol\u00edtica n\u00e3o foram definidos nesta an\u00e1lise. Isso n\u00e3o comprova que o provedor ofere\u00e7a treinamento com base no seu conte\u00fado, nem constitui uma garantia de que n\u00e3o haver\u00e1 treinamento. Trate o campo sem resposta como um ponto de decis\u00e3o em aberto.<\/p>\n\n\n\n<script type=\"application\/ld+json\">{\n    \"@context\": \"https:\\\/\\\/schema.org\",\n    \"@type\": \"FAQPage\",\n    \"mainEntity\": [\n        {\n            \"@type\": \"Question\",\n            \"name\": \"Which AI models do not train on your data?\",\n            \"acceptedAnswer\": {\n                \"@type\": \"Answer\",\n                \"text\": \"Several official APIs and enterprise services provide no-training protections, including OpenAI's API and Anthropic's commercial products, with stated exceptions. The applicable service, agreement, and settings determine the protection; the model name alone does not.\"\n            }\n        },\n        {\n            \"@type\": \"Question\",\n            \"name\": \"Does paying for AI automatically stop training on my data?\",\n            \"acceptedAnswer\": {\n                \"@type\": \"Answer\",\n                \"text\": \"No. Some ordinary paid services still permit training. Other providers distinguish paid, API, and enterprise access. Check the training clause attached to the service you use rather than treating any subscription as an enterprise agreement.\"\n            }\n        },\n        {\n            \"@type\": \"Question\",\n            \"name\": \"Does DeepSeek train on my data, and can I opt out?\",\n            \"acceptedAnswer\": {\n                \"@type\": \"Answer\",\n                \"text\": \"The reviewed DeepSeek privacy policy permits training or improvement and recognizes a right to refuse use of personal data for model training or technical optimization. That does not establish a one-click switch or the terms of a separate downstream application.\"\n            }\n        },\n        {\n            \"@type\": \"Question\",\n            \"name\": \"Are all AI APIs private by default?\",\n            \"acceptedAnswer\": {\n                \"@type\": \"Answer\",\n                \"text\": \"No. Kimi OpenPlatform's ordinary terms permit customer content to be used for training unless agreed otherwise in writing. Other APIs provide no-training defaults. Storage, human access, and third-party processing need separate checks in either case.\"\n            }\n        },\n        {\n            \"@type\": \"Question\",\n            \"name\": \"Does no training mean zero data retention?\",\n            \"acceptedAnswer\": {\n                \"@type\": \"Answer\",\n                \"text\": \"No. A service can exclude content from training while keeping it for generation, account history, security, or legal requirements. Zero-retention controls may require approval and can exclude particular models, endpoints, or features.\"\n            }\n        },\n        {\n            \"@type\": \"Question\",\n            \"name\": \"Does private image or video generation prevent training?\",\n            \"acceptedAnswer\": {\n                \"@type\": \"Answer\",\n                \"text\": \"Not necessarily. A private setting can limit what other users see while leaving training permissions unchanged. Check output visibility and model-training terms separately, including any limits on Stealth or shared workspaces.\"\n            }\n        },\n        {\n            \"@type\": \"Question\",\n            \"name\": \"Can voice and music services use my recordings for training?\",\n            \"acceptedAnswer\": {\n                \"@type\": \"Answer\",\n                \"text\": \"That depends on the service. ElevenLabs provides a training opt-out under its standard terms, while other services may use different agreements. Check scripts, reference recordings, voice samples, and outputs separately; voice-owner consent remains a separate requirement.\"\n            }\n        },\n        {\n            \"@type\": \"Question\",\n            \"name\": \"Can AI 3D generators train on my product designs?\",\n            \"acceptedAnswer\": {\n                \"@type\": \"Answer\",\n                \"text\": \"Some terms permit this use. Meshy's non-Enterprise training clause covers inputs and outputs unless the Order says otherwise. Tripo's paid-user terms contain an explicit no-training provision. Neither statement establishes GlobalGPT's specific contract coverage.\"\n            }\n        },\n        {\n            \"@type\": \"Question\",\n            \"name\": \"Does deleting my chat remove data already used for training?\",\n            \"acceptedAnswer\": {\n                \"@type\": \"Answer\",\n                \"text\": \"Deleting a visible chat does not, by itself, establish removal from earlier training, backups, or safety logs. Several opt-outs are prospective. Read the provider's deletion and consent provisions for the particular data and service involved.\"\n            }\n        },\n        {\n            \"@type\": \"Question\",\n            \"name\": \"Do all models on GlobalGPT have the same privacy protections?\",\n            \"acceptedAnswer\": {\n                \"@type\": \"Answer\",\n                \"text\": \"GlobalGPT publishes its own privacy policy, but its public notice does not establish a single upstream enterprise agreement for every model. Confirm the specific provider, contract, training permissions, and retention settings for the model you intend to use.\"\n            }\n        },\n        {\n            \"@type\": \"Question\",\n            \"name\": \"What does an unknown privacy status mean?\",\n            \"acceptedAnswer\": {\n                \"@type\": \"Answer\",\n                \"text\": \"It means the applicable terms, model-to-service mapping, or specific policy field were not established in this review. It does not prove the provider trains on your content, and it is not a no-training guarantee. Treat the unanswered field as an open decision point.\"\n            }\n        }\n    ]\n}<\/script>","protected":false},"excerpt":{"rendered":"<p>Will an AI provider use your client document, product photo, voice recording, or 3D design to train its models? The answer depends on the service agreement and data settings attached to the request. Paying for access does not, by itself, settle that question. Quick answer: several official APIs and enterprise services promise not to train [&hellip;]<\/p>","protected":false},"author":13,"featured_media":19318,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"_seopress_robots_primary_cat":"","_seopress_titles_title":"AI Data Privacy: Compare 121 Models and Their Policies","_seopress_titles_desc":"Compare AI data privacy across 121 model entries, from chat to 3D. Check training rules, retention, opt-outs, and unknowns before uploading your work.","_seopress_robots_index":"","footnotes":""},"categories":[8,9],"tags":[],"class_list":["post-19316","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ai-image","category-ai-video"],"acf":[],"_links":{"self":[{"href":"https:\/\/wp.glbgpt.com\/pt-br\/wp-json\/wp\/v2\/posts\/19316","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/wp.glbgpt.com\/pt-br\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/wp.glbgpt.com\/pt-br\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/wp.glbgpt.com\/pt-br\/wp-json\/wp\/v2\/users\/13"}],"replies":[{"embeddable":true,"href":"https:\/\/wp.glbgpt.com\/pt-br\/wp-json\/wp\/v2\/comments?post=19316"}],"version-history":[{"count":2,"href":"https:\/\/wp.glbgpt.com\/pt-br\/wp-json\/wp\/v2\/posts\/19316\/revisions"}],"predecessor-version":[{"id":19319,"href":"https:\/\/wp.glbgpt.com\/pt-br\/wp-json\/wp\/v2\/posts\/19316\/revisions\/19319"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/wp.glbgpt.com\/pt-br\/wp-json\/wp\/v2\/media\/19318"}],"wp:attachment":[{"href":"https:\/\/wp.glbgpt.com\/pt-br\/wp-json\/wp\/v2\/media?parent=19316"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/wp.glbgpt.com\/pt-br\/wp-json\/wp\/v2\/categories?post=19316"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/wp.glbgpt.com\/pt-br\/wp-json\/wp\/v2\/tags?post=19316"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}