The engine is meant to live inside the game's repository as a git submodule named engine/, so its modules import as engine.*: git submodule add https://github.com ...

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 ...

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.

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 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.

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

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 ...

What happens when you ask ChatGPT to recreate Snake, Tetris, Pong, Pac-Man and Space Invaders? I tested its new game-making abilities to find out.