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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.

The incredibly mundane command of repetitionWhen you learn programming, the concept of "repetition" appears quite early on.In ...

On November 2, 2026, a blog post published by an MIT research team became a major topic among AI researchers. It claimed that ...

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.

The MIT CSAIL team has proposed a "weight-space programming" method that enables GPT-6 Astra to directly read and modify ...

Why build an app when you can build the app that builds apps?

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

Simon Willison ran the 17-gigabyte open-weight model locally and fed it floating-point arrays from four reinforcement-learning policies. Without calculators or code execution, Qwen identified Breakout ...

print("hello world, I'm learning Python"!) ...

Explore the essential computer science skills needed to build a successful career, including programming, problem-solving, ...

Understanding their capabilities can help developers and blockchain businesses choose tools that better match their technical ...