Must-read paper from Google on self-improving agent harnesses.
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Must-read paper from Google on self-improving agent harnesses. If you auto-optimize your agent's harness, your eval score can go up while the agent gets worse on real tasks. This paper shows how to prevent that. Of five harness-evolution methods compared on agentic workspace tasks, RRSI scored the lowest on the tasks it evolved against and highest on all three out-of-distribution benchmarks. Automated harness evolution proposes edits to prompts, control flow, tools and memory, keeps the ones that raise the score, and repeats. The authors show this overfits the training tasks. Meta-Harness
Posted by elvis (321k followers) 1 h ago · 31 likes · 2.4k views · view the original post on X. Kept by the Dev Radar as AI dev tools. Tools mentioned: academy.dair.ai.
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