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[ARTICLE · art-36813] src=pub.towardsai.net ↗ pub= topic=large-language-models verified=true sentiment=· neutral

Why Microsoft Trained MAI-Thinking-1 Without Synthetic Data

Microsoft released a reasoning model called MAI-Thinking-1, trained without synthetic data, highlighting the team's choices to filter out certain data and avoid specific training methods.

read1 min views6 publishedJun 23, 2026

The useful lesson is not only that Microsoft released a reasoning model. It is what the team says it filtered out, avoided, and refused to… Continue reading on Towards AI »

source & further reading
pub.towardsai.net — original article Prefill/Decode Disaggregation: Why Your GPU Can’t Do Two Things at Once The 3B Model Going Toe to Toe with Opus 4.5 In Maths and Coding Substrate-Bound Coupling in Human-LLM Interaction
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