Giving your AI a Job Interview
www.oneusefulthing.org- Category
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- ARTICLE
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- @emollick
- Added
- Jul 21, 2026
About
An essay by Ethan Mollick arguing that organizations should evaluate AI models like job candidates rather than relying on public benchmarks. It explains why standardized benchmarks fall short and offers practical approaches like vibes-testing, real-world task benchmarking (GDPval), and probing an AI's judgment on ambiguous business questions.
Why it made the leaderboard
If you're picking an AI model for real work, this shows why leaderboard scores mislead and gives you concrete alternatives—vibes-testing, GDPval-style real-task benchmarks, and ambiguous-judgment probes—to assess models against your actual needs.
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aibenchmarksllmevaluationmodel-selectionessay
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