Agent harnesses enable recursive self-improvement without model weight updates
Evolved agents gain new tasks but lose covered ones, with reliability gains often raising deployment costs
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Evolved agents gain new tasks but lose covered ones, with reliability gains often raising deployment costs
ParetoSaddler uses Bayesian bootstrap Pareto support to promote candidates showing progress in quality or cost during optimization on ClawMark and GAIA2.
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