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.

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 ...

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What happens when one AI tries to fix another? MIT researchers used OpenAI's GPT-6 Astra to modify Alibaba's Qwen AI model directly, boosting its maths scores without retraining it.

GPT-6 Astra was used by MIT researchers to edit a small part of Alibaba’s Qwen model, improving maths scores without ...

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

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.

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

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Intel Classiq acquisition marks the largest deal in quantum computing history: Intel pays $2.3 billion to own the software layer that compiles quantum algorithms for all hardware platforms before any ...