Princeton Gives AI Agents Unpublished Questions: Original Scientists Grade Results

A Princeton-led team introduced a novel AI evaluation method called open-world evaluation, where AI agents are given genuinely open and unpublished research questions from active investigations, with the original scientists grading the results. This approach avoids the pitfalls of traditional benchmark tests by focusing on unknown answers and qualitative expert assessment to more accurately measure AI's capability to conduct real scientific research.

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