W&B workshop: the leaderboard winner can be the worse pick once you check the bill
WolframRvnwlf · x · 2026-10-31
Wolfram Ravenwolf (W&B by CoreWeave) released his AI Engineer World's Fair workshop 'From Zero to Leaderboard: Agent Evaluation.' Core premise: performance is a distribution, not a point — a model can top a leaderboard yet be the worse pick once cost enters. WolfBench tracks separate numbers: tasks solved in every run (consistency), average across runs, and ceiling. A practical guide to the decisions required before a leaderboard number means anything.
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