From the blog:
GPT-6 Astra edits Qwen3.5-0.8B weights to improve math without training
AIRiki Yatakehi says GPT-6 Astra directly changed only 0.016% of the weights in Qwen3.5-0.8B, without gradients or training. The edits reportedly fixed the model's reasoning loops and raised math performance up to 6x and instruction following up to 3x.
Andrew CurranVerified on X
@AndrewCurran_
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/