LLMs read write neural network weights
Sparks of Weight-Space Programming: LLMs can natively read & write neural network weights
16 experts across 6 network communities independently surfaced this.
16 experts
6 communities
1 sources clustered
Mark Riedl
Ted Underwood
Ethan Mollick
Ramon Astudillo
Tim Kellogg
Gus
Alejandra Caraballo
David Marx
+8
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7 experts are independently emphasizing research & technical analysis.
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Research & technical analysis
7 expertsEvidence, methods and technical implications.
“This is fascinating. Very large models can read the weights of small models and intuit what those models were trained to do, and make direct weight changes to improve them. rikiyat.github.io/blog/weight-...”
4 experts discussed this · 5 posts
Ethan Mollick: If this holds up, it is big: "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 …
Antonino Greco: If this holds up, it is big: "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 …
Thomas Dietterich: Can someone provide a plausible mechanism for this? Has GPT-6 Astra been trained on neural network weight (or activation) interpretation?
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