GPT-6 Astra edited Qwen3.5-0.8B weights (0.016%) to fix reasoning loops
Rikiya Takehi @rikiyatakehiXImportance: major (4 of 5)
Why it matters
First-hand announcement of weight-space programming; ~6.5M views (fxtwitter, Nov 3).
Summary
Lead author announces that GPT-6 Astra directly changed 0.016% of Qwen3.5-0.8B’s weights to fix its reasoning loops and improve maths. About 6.53M views when read via fxtwitter on Nov 3.
Archived text
We asked GPT-6 Astra to edit Qwen3.5-0.8B weights to improve math. It directly changed only 0.016% of weights, fixing 0.8B’s reasoning loops & improving math up to 6x and even instruction following 3x, without gradients or training.
We call this Weight-Space Programming: frontier LLMs can now natively read/write neural network weights! 🧵 Blog: https://rikiyat.github.io/blog/weight-space-programming/
