Pass/fail scores alone can't interpret evals: hidden tests often too strict
neal_lathia · x · 2026-09-12
In a widely endorsed take, trq212 argues it's nearly impossible to interpret model evals from pass/fail scores alone: many benchmark failures stem from overly strict hidden tests, and in some cases the model's answer makes more sense than the expected eval result. teejm adds that "look at the data" remains undefeated — deep failure-case review beats score-reading.
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