Space Programming".1. Weight-Space ProgrammingOn November 2, 2026, a research team at MIT CSAIL announced a new method called "Weight-Space Programming", in which an LLM directly reads and writes the ...
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 ...
A pair of tiny neural networks can generate and play five simple games on a Raspberry Pi Pico 2 W without conventional game ...
Astra identifies game policies from raw weight matrices and fixes reasoning loops in Qwen3.5-0.8B by editing 0.016% of parameters, lifting MATH-500 scores from 7.9% to 48.1% without training loops.
A new MIT CSAIL blog post is making the rounds in AI circles this week, and it describes something that sounds almost ...
TinyWorldFormer uses compact neural networks and a looped transformer to generate playable games and train an AI agent ...
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