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Benchmarks reward the wrong kind of intelligence

A model can score extremely well on a benchmark and still be frustrating in daily use. Real users care about whether the system asks for clarification, remembers the right context, handles messy input, admits mistakes, and finishes a task without creating three new problems. I still find benchmarks…

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  1. 2026-10-14 04:59 · r/ArtificialInteligence
    Benchmarks reward the wrong kind of intelligence

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