Microsoft trained its MAI models on unlicensed web data despite promising 'enterprise grade, clean and commercially licensed data' 尽管微软承诺使用“企业级、清洁和商业授权数据”，但仍用未授权的网络数据训练其MAI模型

Microsoft is training its flagship AI models on a web-scale copyright violation. The company’s new MAI suite, marketed with the pristine promise of “enterprise-grade, clean and commercially licensed data,” was partly built on the same unlicensed scrape of the internet that every other AI lab uses: Common Crawl. This isn’t a minor oversight or a data governance slip. It’s the foundational lie of the generative AI boom, delivered with a straight face by the world’s most valuable company.

Let’s be clear about the mechanics. Common Crawl is a public repository of petabytes of raw web data. It’s a snapshot of the chaotic, copyright-rich, and often illegally uploaded content of the open web. Training a model on it isn’t like carefully curating a library; it’s like dumping a city’s worth of unsorted, unvetted refuse into a furnace to power a generator. The heat is useful; the process is indiscriminate. To claim your data is “clean and commercially licensed” while using this source is, to put it mildly, a creative interpretation of reality.

Microsoft’s defense, like Google’s and Meta’s before it, will pivot on the legal fiction of “fair use.” This is the industry’s favorite shield: a doctrine designed for transformative commentary and scholarship, now being stretched to justify the mass ingestion and reproduction of the entire digital human record. It’s a legal bet, not an ethical stance. The company isn’t making a principled argument; it’s making a calculated wager that the courts will prioritize technological utility over the property rights of creators. It’s a high-stakes game of chicken with writers, artists, and publishers.

And here’s the crux of the audacity: the burden of opting out is placed squarely on the creator. You must know to look for Microsoft’s crawler robots.txt file directives, a requirement that assumes every poet, journalist, and photographer is also a web administrator. This is the ultimate power play of scale. The AI labs build their empires on a foundation of “take first, ask permission never,” and then craft a labyrinth of protocols that make objections procedurally complex and practically futile. If you didn’t block the scraper, your work is fair game. It’s digital colonialism dressed up as technical compliance.

This revelation strips away the last veneer of moral superiority in the AI race. OpenAI started with a nonprofit charter and a promise to benefit humanity. Google has spent years building a reputation for “responsible AI.” Microsoft positioned its partnership with OpenAI and its own internal efforts as the sober, enterprise-focused alternative—trustworthy, compliant, clean. Now we see the foundation is the same murky sludge everyone else is mining. The differentiator wasn’t ethics; it was marketing.

The real damage is to the concept of an “enterprise” solution. Businesses are being sold AI systems on the premise of risk mitigation—IP compliance, data sovereignty, regulatory adherence. Yet, these very systems are built on a legally ambiguous substrate that could generate massive copyright liability down the line. When a company like Microsoft bakes Common Crawl into its core models, it’s not just cutting corners; it’s potentially importing a legacy of litigation into every product it sells. The clean, licensed future it’s pitching is built on a potentially filthy present.

This isn’t just about Microsoft. It’s about the central, unresolved question of generative AI: who gets to build the future, and at whose expense? Right now, the answer is that a handful of trillion-dollar companies get to build it on the unpaid and uncredited labor of millions, while hiding behind a “fair use” legal theory that has never been tested at this scale. Microsoft’s hypocrisy isn’t surprising, but it is clarifying. It confirms that in the rush for AI supremacy, the mantra of “move fast and break things” has mutated into “move fast and ignore things”—ignore copyright, ignore creator consent, and ignore the very principles you claim to uphold. The enterprise grade was always a facade; the real grade is provisional, pending the courts’ verdict on this generation’s greatest heist.

微软正基于大规模网络版权侵权行为训练其旗舰AI模型。该公司新推出的MAI套件以“企业级、清洁且获商业授权数据”的承诺进行推广，但其部分数据基础实际上与其他AI实验室一样，依赖未经许可的网络抓取工具：Common Crawl。这并非细微疏漏或数据管理失误，而是这场生成式AI热潮的根本性谎言，由全球市值最高的企业面不改色地抛出。

微软正基于大规模网络版权侵权行为训练其旗舰AI模型。该公司新推出的MAI套件以“企业级、清洁且获商业授权数据”的承诺进行推广，但其部分数据基础实际上与其他AI实验室一样，依赖未经许可的网络抓取工具：Common Crawl。这并非细微疏略或数据管理失误，而是这场生成式AI热潮的根本性谎言，由全球市值最高的企业面不改色地抛出。

让我们厘清其运作机制。Common Crawl是一个存储着PB级原始网络数据的公共库，它凝结了开放网络中混沌、版权密集且常被非法上传的内容快照。基于该数据库训练模型，不同于精心策划图书馆典藏；这更像是将整座城市未经分拣、未经核查的废弃物倾倒进熔炉驱动发电机。热能虽有价值，过程却毫无甄别。在此情况下声称数据“清洁且获商业授权”，往轻了说，是对现实的创造性解读。

微软的辩护策略（此前谷歌和Meta也曾采用）将围绕“合理使用原则”这一法律拟制展开。这是行业惯用的护盾：本为变革性评论与学术研究设计的法理，如今被扭曲为大规模摄取与复制全人类数字记录的挡箭牌。这是一场法律赌注而非伦理立场——企业并非在进行原则性论证，而是押注法院将技术效用置于创作者产权之上。这实则是与作家、艺术家及出版商展开的一场高风险懦夫游戏。

而这一切的傲慢关键在于：退出机制的责任完全压在创作者肩上。你必须知道如何查找微软爬虫机器人的robots.txt文件指令——这一要求预设每位诗人、记者和摄影师同时也是网络管理员。这正是规模化带来的终极权力博弈。当AI实验室构建起……