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Episode 42: Stop Trying to Make 'AI Scientist' Happen, September 30 2024

Mystery AI Hype Theater 3000

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Evaluating the Flaws in AI-Driven Peer Review Metrics

This chapter critiques the use of accuracy as a primary metric in evaluating academic papers, particularly within peer review processes. It argues that qualitative assessments are often overlooked in favor of quantitative scores, questioning the effectiveness of 'AI scientists' in replicating this complex evaluation system.

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