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Self-writing evaluators can significantly improve the accuracy of response assessments by autonomously identifying defects in generated content.
A trust-tiered librarian can eliminate 6,845 contradictions in research reports while generating evidence-grounded narratives at unprecedented speed.
A biased judge can silently disable skill retirement in self-evolving agents, leading to unnoticed performance degradation that can jeopardize deployment.
End-to-end prompt optimization is often a waste of time and money, succeeding only when coaxing models into specific output formats they're already capable of.