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2026-11-03 · America/Los_Angeles · 社区动态 · #1

[Paper] Sparks of Weight-Space Programming: LLMs can natively read & write neural network weights

TL;DR We find that frontier LLMs are surprisingly good at natively reading and writing neural network weights, well past what we’d expect from humans or conventional algorithms. This might be a big deal for both optimization and interpretability. Just by looking at the raw weights, GPT-6 Astra can tell what a network was trained to do . And without any environment feedback, it has no trouble writing, from scratch, small game-playing networks that outplay networks trained with PPO for 100 million steps. Likewise, asked to make Qwen3.5-0.8B better at math without gradients, Astra identifies an…

[Paper] Sparks of Weight-Space Programming: LLMs can natively read & write neural network weights

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