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Kevin Dorst: Against Irrationalist Narratives

The Gradient: Perspectives on AI

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Exploring Rationality, Overconfidence, and Bayesian Reasoning

The chapter delves into discussions on rationality and correctness, overconfidence, Bayesian reasoning, and the correlation between being rational and correct. It touches on concepts like overcalibration, undercalibration, and the necessity for Bayesians to have calibrated beliefs. The conversation also discusses quasi-realism, normative facts, epistemological paradoxes, and the implications of overconfidence in belief systems.

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