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The Evaluation Trap: Benchmark Design as Theoretical Commitment

arXiv cs.AI · 2026-05-15 Cached

This paper identifies the 'evaluation trap' where AI benchmarks inadvertently stabilize dominant paradigms by narrowing what counts as progress, and introduces Epistematics, a meta-evaluative methodology to ensure evaluation criteria discriminate true capability from proxy behaviors.

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#ai-methodology

@WSInsights: A 25-year-old podcast host over the past two years has interviewed the key figures from top AI labs like OpenAI, Anthropic, and DeepMind. Karpathy, Hassabis, Dario Amodei, Ilya Sutskever — all the big names in the field...

X AI KOLs Timeline · 2026-05-08

25-year-old podcast host Dwarkesh Patel has interviewed key figures from top AI labs including OpenAI, Anthropic, and DeepMind, such as Karpathy, Hassabis, Dario Amodei, and Ilya Sutskever. He publicly shared his AI-assisted "one-week preparation" workflow: having AI列出必读资料, tracking gaps in understanding, using AI to map out the full landscape, and implementing the code himself. Time magazine included him in the "AI 100" list for 2024.

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