0:39
In this brief monologue, Hamel Husain argues that labeling a dataset as "golden" is misleading. He explains that once an evaluation dataset has helped a team overcome specific failure modes and achieve its performance goals—much like reaching a personal fitness target—it can be retired or run only rarely. He contrasts these heavyweight, infrequently‑run evaluations with cheap, fast unit tests that can be executed continuously. The overall message is to treat evaluation datasets as temporary milestones rather than permanent, sacrosanct benchmarks.
