Shadow evaluations assess AI agents in open-ended research
July 28, 2026
Shadow evaluations measure AI R&D progress by having agents tackle unpublished research questions graded by the original authors. This method avoids the limitations of narrow verifiable tasks and stochastic peer review.
HOW THIS AFFECTS YOU
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researcherThis offers a more rigorous metric for evaluating agentic capabilities in scientific discovery.
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founderYou can use this framework to gauge the potential of AI to automate high-value R&D.