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Matt Maher

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Theo - t3․gg

AICodeKing

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WorldofAI

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Agent Plasticity measures how efficiently frozen-weight agents turn experience into reusable tools, skills, and memory that improve held-out performance. The research evaluates learning cost, generalization, artifact reuse, and failure modes across chess, Go, Hex, and NetHack. [Paper](https://arxiv.org/abs/2610.08902) [Project](https://harmandotpy.github.io/agent-plasticity/)
A new paper finds that detectors trained on older LLM versions caught over 99% of scientific-text rewrites before a model-generation boundary, but only 3.8% afterward. The study analyzed 4,000 PNAS abstracts rewritten by 23 models from three vendors.

Eric Michaud

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Ben Davis

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Eric Michaud