
#320 — Constructing Self and World
Making Sense with Sam Harris
00:00
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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