For around $30, you can get this tiny Game Boy-like console that fits on your keychain. You can even use it to learn how to ...

The inner workings of an AI are a black box. Even the people who created it don't know why it produced a specific answer.You ...

"Please improve an AI that is bad at math without additional training."When asked this, we usually think of adding training ...

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

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.

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 ...

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

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 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 ...

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

TinyWorldFormer uses compact neural networks and a looped transformer to generate playable games and train an AI agent directly ...