This chapter critiques the common 30% win rate benchmark used in experimentation, arguing for its irrelevance in enhancing organizational intelligence. The discussion highlights the need for more meaningful metrics and draws a connection between the limitations of benchmarks and the philosophical implications of generative AI in problem identification.

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