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Viv
@Vtrivedy10
applied research @LangChain Labs, prev @awscloud, phd cv @templeuniv
参加 February 2013
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exo is a really cool project exploring what happens when agents can autonomous self-edit any piece of their harness -> imo this is a form of online continual learning the long-horizon memory aspect of this is interesting - let agents operate autonomously in tons of situations over time - let them self-evolve to solve those tasks - keep a log of what harness configurations help - develop a meta skill of "how do i best edit myself in XYZ situations"
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Agent harnesses are usually hand-tuned, or optimized offline against benchmarks. What if an agent could improve its own harness *while doing the work*? Introducing Exo, a harness architecture for runtime self-improvement 🧵 (paper:
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