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

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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.

See how Foundry turns LLM hunches into verified findings on Langflow, MLflow, and PyGoat, using an evidence gate and an honest look at token cost.

Astra identifies game policies from raw weight matrices and fixes reasoning loops in Qwen3.5-0.8B by editing 0.016% of parameters, lifting MATH-500 scores from 7.9% to 48.1% without training loops.

Nullspace, Inc., developer of next-generation electromagnetic (EM) simulation software, today announced a partnership with ...

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

I have been thinking about a concept to transform digital signage from a "screen that just plays content" into a "screen that reacts to the people in front of it," as an extension of Promovolve. A ...

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Cold storage crypto recovery drill: restore your backup on a second wallet and prove it with a watch-only Python script in 12 ...