Patrick Jiang (@patpcj) introduced Harness 1, a 20B parameter search agent that moves search state outside the model and into a structured harness, according to a 13 post thread on X and the accompanying paper. The paper lists authors from the University of Illinois at Urbana Champaign, UC Berkeley and Chroma, and describes Harness 1 as a retrieval subagent trained with reinforcement learning inside a stateful search harness. The core claim is that search agents fail partly because they are a...
source & further reading
runtimewire.com — original article
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