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.
Let's Have AI Create Practice Problems from What You've StudiedHello, I'm Shiori Asazumi.Today's topic is "Let's have AI ...
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do-math is a multi-agent management system that provides governance for autonomous mathematical research. It consists of instruction documents that direct agent behavior and a Python program, the ...
The MIT CSAIL team has proposed a "weight-space programming" method that enables GPT-6 Astra to directly read and modify ...
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%.
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.
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 ...
Timbral Dynamics at the Instability Boundary.” It looked at the exact physical factors that let string players make a warm, ...