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Large Language ModelsTHE DECODERPublished: Jun 5, 2026, 22:00 JST

Microsoft trained MAI models on unlicensed web data, contradicting clean-data pledge

Microsoft trained MAI models on unlicensed web data, contradicting clean-data pledge

3 Key Points

  1. What happened

    Microsoft's technical paper reveals that its new MAI models were partly trained on unlicensed web data from sources including Common Crawl, despite the company's earlier claim that they used only "enterprise grade, clean and commercially licensed data." Microsoft says it uses a proprietary crawler that respects the Robots Exclusion Protocol (robots.txt) and related controls to manage how content is accessed.

  2. Why it matters

    Microsoft marketed its training data as especially clean, but the paper shows it relies on the open internet like other AI companies do. The company relies on a fair-use argument—a legal framework still being contested and sorted out in courts—to justify web scraping. This suggests businesses considering Microsoft's AI offerings should not assume the underlying training data is fundamentally different from competitors'.

  3. What to watch

    The paper describes the data as a "mixture of publicly available and licensed human-generated data," placing the burden of protecting content on individual site owners through robots.txt and HTML controls rather than explicit licensing agreements.

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FAQ
What sources did Microsoft use to train its MAI models?
Microsoft used a mixture of publicly available and licensed human-generated data, including Common Crawl. The company also deployed a proprietary crawler that respects the Robots Exclusion Protocol (robots.txt) and related meta-tag and HTML controls to manage how content on sites is accessed.
What did Microsoft originally claim about its training data?
Microsoft had previously claimed the MAI models were trained only on "enterprise grade, clean and commercially licensed data."

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