Waiting for replication but this is a pretty big deal.
Weight-space programming lets GPT-6 Astra edit Qwen3.5-0.8B weights
AIRiki Yatake's team asked GPT-6 Astra to edit the weights of Qwen3.5-0.8B to improve math, changing only 0.016% of them. The team says the edits fixed the model's reasoning loops and raised math performance up to 6x and instruction following 3x, without gradients or training.
Ethan MollickVerified on X
@emollick
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/
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Ethan Mollick · x.comPublished · added here
Original title: Waiting for replication but this is a pretty big deal.