An LLM Fixes Another LLM's Weights
A blog post from this weekend describes using GPT-6 Astra to diagnose and edit the weights of Qwen3.5-0.8B without gradient descent, raising MATH-500 accuracy from 7.9% to 48.1% by removing a single looping direction from two MLP layers. It's early and constrained, but the concept of an LLM doing targeted surgical weight editing is new territory.
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