LLMs shown to read and edit neural network weights directly, improving small model's math scores
A blog report describes frontier LLMs natively reading and writing neural network weights: an LLM called Astra edited only 0.016% of Qwen3.5-0.8B's weights, raising its MATH-500 score from 7.9% to 48.1% and reducing reasoning loops.
Read the full story at r/singularity ↗
Timeline · 7 reports
- 2026-11-03 05:35 · Analytics India Magazine
MIT Researchers Show LLMs Can Read and Edit Neural Network Weights Without Retraining - 2026-11-03 05:35 · Latent Space
[AINews] LLMs can read & write neural network weights: "Weight Space Programming" cuts Autoresearch out of the RSI loop - 2026-11-02 20:18 · r/MachineLearning
Sparks of Weight-Space Programming: LLMs can natively read & write neural network weights [R] - 2026-11-02 19:24 · Lobsters AI
Sparks of Weight-Space Programming: LLMs can natively read & write neural network weights - 2026-11-02 19:15 · r/LocalLLaMA
Sparks of Weight-Space Programming: LLMs can natively read & write neural network weights - 2026-11-02 19:02 · r/mlscaling
Sparks of Weight-Space Programming: LLMs can natively read & write neural network weights - 2026-11-02 18:45 · r/singularity
Sparks of Weight-Space Programming: LLMs can natively read & write neural network weights