Benchmarks on Quicksand: Why Static Scores Fail Living Models
A benchmark score looks wonderfully solid until the model changes, the dataset changes, the deployment stack changes, the GPU behaves differently, the logging pipeline drops half the useful metadata, and someone asks whether the result still means anything for their actual application. At that point, the leaderboard number is not wrong. It is worse: it is under-described. ...