Analyzing Measuring What Matters, Not What Models Practice. In the frenzy to top leaderboards, AI teams optimize for benchmarks rather than genuine progress, and as a result, scores on static tests tell us more about a model’s memorization tactics than its ability to navigate real world environments.
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