Benchmarks on Quicksand: Why Static Scores Fail Living Models
Opening — Why this matters now If you feel that every new model release breaks yesterday’s leaderboard, congratulations: you’ve discovered the central contradiction of modern AI evaluation. Benchmarks were designed for stability. Models are not. The paper you just uploaded dissects this mismatch with academic precision—and a slightly uncomfortable conclusion: static benchmarks are no longer fit for purpose. ...