GPT-6 Astra edits Qwen weights directly: 6x math gain by changing 0.016% of parameters, no training

repligate · x · 2026-11-03

The rikiyatakehi team asked GPT-6 Astra to edit Qwen3.5-0.8B weights to improve math. It changed only 0.016% of weights, fixing the small model's reasoning loops and improving math up to 6x and instruction following 3x — no gradients or training involved. They call this "Weight-Space Programming": frontier LLMs can natively read/write neural network weights. repligate amplified it with a neurosymbolic joke aimed at Gary Marcus.

Related event: MIT's Weight-Space Programming: GPT-6 Edits Neural Network Weights Directly(28 posts)→

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