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

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 has unveiled an innovative, groundbreaking paradigm dubbed "Weight Space Programming", representing a transformative new ...

Article by Shenchao TechFlowNo training required, no data needed, no gradient descent.Researchers at MIT fed the weights of ...

B.E. CSE at Osmania University (2014-2018) and M.Tech CS / AI at SSSIHL. - saikrishnavadali05/Academic-CSE-Osmania-SSSIHL ...

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.

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

I Wanted to Try Building an LLM MyselfPreviously, I read a book titled "Are Large Language Models a New Form of Intelligence?

Jeff Dean left Google after 27 years to found Discovery Loop, a startup automating research loops to run thousands of ...

MIT CSAIL finds GPT-6 Astra can read and write neural weights directly, fixing Qwen3.5-0.8B math from 7.9% to 48.1% with a 0.016% edit and no gradients.

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.

This release provides the BREST-AI 16-bit, four-view model developed at the University of Warwick with NHS and academic collaborators. It estimates an examination-level three-year risk score from a ...