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On October 19, 2026, TypeSafe AI proposed that a good evaluation should have three characteristics: ephemerality, groundedness, and specificity. According to an article it published, ephemerality means that an evaluation only reflects a snapshot of capability at a single point in time; groundedness means directly measuring the tasks and data of interest; and specificity means targeting the desired outcome rather than its proxy metrics. The article is also a response to Tim Neumann's discussion about his CEO not trusting public benchmarks. There are currently no subsequent developments.
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TypeSafe AI: How to Judge Whether a Benchmark Is Good or BadDevelopments
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Oct 19
TypeSafe AIFirst-party
TypeSafe AI: How to Judge Whether a Benchmark Is Good or Bad
TypeSafe AI responds to Tim Neumann's discussion about its CEO not trusting public benchmarks, proposing that a good benchmark should have three qualities: timeliness (reflecting only a snapshot of capability at a given moment), groundedness (directly measuring the tasks and data you care about), and specificity (targeting the desired outcome rather than its proxy metrics).