AI’s TwIL-8B is an 8.8B open-weights reasoning model scoring 98.2 on MATH-500 and running locally in 4.98 GiB.

Math has created some of humanity's oldest intellectual challenges. And AI is completely changing the game. This year AI ...

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Private artifact package for resuming frozen MATH-to-Omni-MATH experiments from Ever2after/PGM, source commit 9ec705a56bf815eafa0fa84ef4a154a6d1946080. The archive ...

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%.

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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 ...

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.

Complete logs of the experiments in the blog post 'LLMs can understand and write neural network weights' - ...

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

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.

For starters, it can create a future in which students and professionals in the mathematics field change their preparation in ...