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 ...

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.

What happens when one AI tries to fix another? MIT researchers used OpenAI's GPT-6 Astra to modify Alibaba's Qwen AI model ...

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… ...

Article by Shenchao TechFlowNo training required, no data needed, no gradient descent.Researchers at MIT fed the weights of ...

MIT researchers used GPT-6 Astra to enhance Alibaba's Qwen3.5-0.8B model, significantly improving its mathematical performance without retraining.

MIT CSAIL's "weight-space programming" has a frontier LLM read and edit neural network weights directly, with no gradient descent. Surgical edits ended Qwen's reasoning loops, but the results come ...

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

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

Explore the cutting edge of innovation in this exciting showcase of futuristic technology and incredible machines. From MIT's modular assembler robots that build complex structures, to advanced ...

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

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