New research tackles the agent experience problem: knowledge trapped in weights
khademinori · x · 2026-11-13
Researcher yqsong highlights a structural gap: humans pass down explicit knowledge (laws, textbooks, procedures), but AI agents upgrade every few months while their experience stays trapped in weights, context windows, or raw logs. The team released two works to make agent experience transferable and cumulative — details in the thread.
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