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Research & technical analysis
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Reaction converging Sparks of Weight-Space Programming: LLMs can natively read & write neural network weights Research & technical analysis · 7 attributable reactions
Showing signals surfaced by Shubhendu Trivedi ×
New & accelerating

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One card per development. Sources are clustered; reaction bundles describe these posts, never the people behind them.

Developing AI research Research 2d ago
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
How the network is reacting 7 experts are independently emphasizing research & technical analysis.
Reaction converging

Research & technical analysis

7 experts

Evidence, 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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Primary source rikiyat.github.io ↗
Established AI research Research 6d ago
⚡ 35 h early
ODE sampler discrete diffusion paper

An ODE-based Sampler for Discrete Diffusion Models

2 experts are actively discussing the implications.

2 experts 1 community 1 sources clustered
Ramon Astudillo Shubhendu Trivedi

“Looks cool arxiv.org/abs/2610.40618”

2 experts discussed this · 2 posts
Shubhendu Trivedi: Looks cool arxiv.org/abs/2610.40618
Ramon Astudillo: Looks like continuous-time text diffusion, but better
Ramon Astudillo: Looks cool arxiv.org/abs/2610.40618
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Primary source arxiv.org ↗
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