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#320 — Constructing Self and World

Making Sense with Sam Harris

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Approximate Bayesian Inference and Generative Models

The brain cannot formally solve Bayesian inference problems due to computational complexity. To address this, evolution and artificial intelligence use approximate Bayesian inference, which involves simulating sensory data based on what is believed to be observed. This process, known as generative modeling, helps the brain interpret and understand sensory input by simulating the expected data based on initial assumptions.

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