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AI agents memorize fixed benchmarks, not real conditions

AI agents trained on a fixed benchmark eventually just memorize it! Once an agent learns to pass a fixed set of test scenarios, the benchmark stops teaching it anything new. It's also nothing like the real, messy, unpredictable conditions agents actually operate in. Patronus

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