AnalysisAI ModelsNovember 3, 2026

MIT CSAIL edits 0.016% of Qwen3.5-0.8B weights to fix reasoning loops

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A weight diff from MIT CSAIL lifted Qwen3.5-0.8B from 7.9% to 48.1% on MATH-500 by editing 0.016% of its parameters, with GPT-6 Astra reportedly doing the fix. The diff was released so the edit can be rebuilt exactly and run locally.

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