MIT CSAIL researchers say GPT-6 Astra edited 0.016% of Qwen3.5-0.8B weights to fix reasoning loops, lifting MATH-500 from 7.9% to 48.1% without training.

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WGN's Kaitlin Sharkey and Chris Boden preview a portion of the Chicago Bears' upcoming Monday Night Football game against the Seattle Seahawks with a dive into Jeffery Simmons as he prepares for his ...

In the strongest example of "weight space programming", as the technique is called, Astra’s intervention raised Qwen3.5-0.8B’s MATH-500 score from 7.9% to 48.1% while touching approximately 0.016% of ...

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MIT has unveiled an innovative, groundbreaking paradigm dubbed "Weight Space Programming", representing a transformative new ...

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A new MIT CSAIL blog post is making the rounds in AI circles this week, and it describes something that sounds almost ...

Researchers at the Massachusetts Institute of Technology (MIT) have used OpenAI’s GPT-6 Astra to improve the mathematical performance of Alibaba’s Qwen3.5-0.8B AI model by directly modifying… ...

GPT-6 Astra edited Qwen’s weights and raised MATH-500 from 7.9% to 48.1% in author-run tests. How weight-space programming works—and its limits.