Beyond the Score: Rethinking AI Benchmarks for Real Utility
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.
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.