Complete logs of the experiments in the blog post 'LLMs can understand and write neural network weights' - RikiyaT/lm_understand-logs ...
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 pair of tiny neural networks can generate and play five simple games on a Raspberry Pi Pico 2 W without conventional game ...
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.
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 ...
Article by Shenchao TechFlowNo training required, no data needed, no gradient descent.Researchers at MIT fed the weights of ...
Learn how to get started with the OpenRouter API to call multiple AI models through one API, compare responses, switch models ...
For over 5 years, Arthur has been professionally covering video games, writing guides and walkthroughs. His passion for video games began at age 10 in 2010 when he first played Gothic, an immersive ...
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