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The case against paying people to create AI benchmarks
Arena’s CEO argues that paying people to generate benchmarks creates an adverse selection problem that real-world task data avoids.
TLDR
Arena’s CEO argues that AI benchmarks stop reflecting reality when people are paid to create them, calling it an “adverse selection problem.” He contrasts privately assembled datasets with Arena’s constant stream of fresh real-world data, which he says helps people improve on actual tasks.
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