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 ...

Scores jumped without learningOn November 2, an experiment published on a research blog by a team at MIT (Massachusetts ...

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

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

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 ...

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 ...

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 ...

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