@trq212: it's basically impossible to interpret evals by looking at just at the pass/fail scores these days many of the failures…

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Summary

The tweet argues that pass/fail scores in AI evaluations are misleading due to overly strict hidden tests, making interpretation difficult.

it's basically impossible to interpret evals by looking at just at the pass/fail scores these days many of the failures I see in benchmarks are due to overly strict hidden tests, in some cases the model's answer makes more sense than the expected eval result
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Cached at: 09/12/26, 02:45 AM

it’s basically impossible to interpret evals by looking at just at the pass/fail scores these days

many of the failures I see in benchmarks are due to overly strict hidden tests, in some cases the model’s answer makes more sense than the expected eval result

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