Rikiya Takehi
@rikiyatakehi
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3/6 Next, fixing weights: A PPO car policy kept getting stuck on a ramp.
Given the weights, scene, and 1 failed trace, Astra wrote a patch in one reply with no tool-use.
By editing just 3.5% of the weights, it achieved 100% success.
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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:
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