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Self-improving harnesses are one of the most discussed ideas in AI right now.

Self-improving harnesses are one of the most discussed ideas in AI right now. (bookmark it) This work proposes a new…

This is a dev post classified by AGK Intelligence as AI dev tools (a free resource), kept by the Dev Radar because it carries real work, not commentary.

Self-improving harnesses are one of the most discussed ideas in AI right now. (bookmark it) This work proposes a new harness, RuHarness, that beats the strongest harness-evolution baseline by 4.5 points on held-out tasks with Qwen3.5-35B-A3B, and by 5.3 points with GLM-4.7-Flash. The work targets a gap in current methods. They evolve the harness but keep the criteria that guide each edit fixed, so the criteria stop matching the agent's weaknesses after a few rounds. RuHarness evolves the rubric along with the harness. Each round, it finds behavioral criteria in the trajectories, re-scores

Posted by DAIR.AI (136.1k followers) 20 h ago · 248 likes · 14k views · view the original post on X. Kept by the Dev Radar as AI dev tools.

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