Items Saturate; Judges Do Not: What a Leaderboard Means When a Model Does the Scoring
This is part three of a short series on reading AI evaluations. Part one, Same Model, Same Scaffold, 10 Runs , measured repeats: one configuration, ten runs, a 2.2–6.0 point window. Part two, 62% vs 58% on the Same Benchmark , measured task counts. Both assumed a stable instrument. This part asks w…
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- 2026-10-27 23:36 · DEV Community — Machine Learning
Items Saturate; Judges Do Not: What a Leaderboard Means When a Model Does the Scoring