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arXiv Paper Proposes Bayesian Framework for Inferring Intelligence from Behavior
A new preprint develops a Bayesian account of how intelligence can be inferred from the observable behavior of agents such as language models. The authors treat each prompt as a possibly imperfect internal experiment, and the abstract is truncated before the full results are described. The work sits in the broader area of evaluating model capability without direct access to internal states.