{"version":"1.0","generated_at":"2026-10-04T15:23:16.339613","id":1146,"slug":"microsoft-trained-its-mai-models-on-unlicensed-web-data-despite-promising-enterprise-grade-clean-and-commercially-licensed-data","title":"趋势解读：Microsoft trained its MAI models on unlicensed web，提升开发者接入体验","summary":"微软承认部分使用未经许可的网络数据训练MAI模型，与之前声称的仅使用商业许可数据相矛盾，引发对AI公司数据合规性的讨论。","abstract":"趋势解读：Microsoft trained its MAI models on unlicensed web，提升开发者接入体验 微软承认部分使用未经许可的网络数据训练MAI模型，与之前声称的仅使用商业许可数据相矛盾，引发对AI公司数据合规性的讨论。 微软MAI模型未经许可使用Common Crawl数据 与之前声称的'商业许可数据'宣传矛盾 依赖合理使用原则，将合规责任推给网站 引发对AI数据灰色地带的行业反思 加速版权诉讼和监管政策出台 微软部分使用了未经许可的网络数据来训练其新的MAI模型。正如西蒙·威利森指出的，技术论文显示微软使用了Common Crawl等来源。微软此前曾声称MAI模型仅使用“企业级、干净且商业许可的数据”进行训练。与其他抓取网络的人工智能公司一样，微软可能依赖合理使用。论文将数据描述为“公开可用和经许可的人类生成数据的混合物”。对于网络数据，微软表示其使用“尊重机器人排除协议（robots.txt）及相关元标记和HTML控制的专有爬虫，使网站所有者能够管理其网站内容的访问和使用方式”。这将保护内容的负担转嫁给了网站所有者，类似于假设任何不锁门的人都同意入室盗窃。合理使用仍然存在争议，法院仍在解决这个问题。简而言之，微软做了所有其他人工智能公司所做的事情，却将其训练数据宣传为特别“干净”，事实并非如此。 这是什么信号 微软承认其MAI模型部分使用了未经许可的网络数据（如Common Crawl），直接推翻了此前“仅使用企业级、干净且商业许可数据”的宣传。这表明在AI军备竞赛中，即使是巨头也难以避免使用公开网络数据，所谓的“干净数据”更多是营销话术…","access_level":"public","access_label":"公开","access_mode":"full","is_preview":false,"canonical_url":"https://opc.beizhux.com/content/1146/microsoft-trained-its-mai-models-on-unlicensed-web-data-despite-promising-enterprise-grade-clean-and-commercially-licensed-data","html_url":"https://opc.beizhux.com/content/1146/microsoft-trained-its-mai-models-on-unlicensed-web-data-despite-promising-enterprise-grade-clean-and-commercially-licensed-data","json_url":"https://opc.beizhux.com/content/1146/microsoft-trained-its-mai-models-on-unlicensed-web-data-despite-promising-enterprise-grade-clean-and-commercially-licensed-data.json","published_at":"2026-06-05T20:10:26","updated_at":"2026-10-04T14:51:17","category":{"slug":"hotspots","name":"全球热点解读"},"source":{"site":"the-decoder.com","author":"Matthias Bastian","url":"https://the-decoder.com/microsoft-trained-its-mai-models-on-unlicensed-web-data-despite-promising-enterprise-grade-clean-and-commercially-licensed-data/"},"tags":["AI","AI训练数据","robots.txt","The Decoder","合理使用","微软","版权争议"],"topics":[{"slug":"ai-daily","name":"AI日报","url":"https://opc.beizhux.com/topics/ai-daily","reason":"这篇内容命中「热点解读」等主题信号。"},{"slug":"ai-tools","name":"AI工具","url":"https://opc.beizhux.com/topics/ai-tools","reason":"这篇内容命中「模型」等主题信号。"},{"slug":"agent-workflow","name":"Agent工作流","url":"https://opc.beizhux.com/topics/agent-workflow","reason":"这篇内容来自该专题长期覆盖的栏目。"}],"keywords":["全球热点解读","AI日报","AI工具","Agent工作流","每日AI日报","AI信号","热点解读","BuilderPulse","工具","自动化","模型","Cursor"],"questions":[{"question":"趋势解读：Microsoft trained its MAI models on unlicensed web，提升开发者接入体验主要讲什么？","answer":"微软承认部分使用未经许可的网络数据训练MAI模型，与之前声称的仅使用商业许可数据相矛盾，引发对AI公司数据合规性的讨论。"},{"question":"这篇文章最值得关注的要点是什么？","answer":"微软承认部分使用未经许可的网络数据训练MAI模型，与之前声称的仅使用商业许可数据相矛盾，引发对AI公司数据合规性的讨论。；微软MAI模型未经许可使用Common Crawl数据；与之前声称的'商业许可数据'宣传矛盾；依赖合理使用原则，将合规责任推给网站"},{"question":"这篇文章和哪些AI专题相关？","answer":"它适合放在AI日报、AI工具、Agent工作流专题里阅读。 关联原因：这篇内容命中「热点解读」等主题信号。；这篇内容命中「模型」等主题信号。；这篇内容来自该专题长期覆盖的栏目。"},{"question":"阅读这篇文章建议先理解哪些关键词？","answer":"建议先理解AI日报、每日AI日报、AI信号、热点解读、BuilderPulse这些关键词，再结合正文判断工具、机会或风险是否值得进入自己的工作流。"}],"terms":[{"slug":"ai-daily-term","name":"AI日报","definition":"在AI觉醒星球里，「AI日报」属于「AI日报」方向。持续整理每日AI日报、模型更新、工具变化和行业信号，帮你快速判断哪些信息值得收藏、验证和行动。 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