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Your brain's sensory systems take in roughly 11 million bits of information per second, but conscious awareness handles only about 50. What happens to the rest? It turns out your brain isn't passively recording reality—it's actively hallucinating it, using predictions to fill in what it expects to see, hear, and feel. The sensory data serves mostly as error correction.

This is the core insight of Hierarchical Predictive Processing (HPP), a framework emerging from the work of Andy Clark, Karl Friston, Anil Seth, and others that reconceptualizes the brain not as a passive perceiver but as a prediction machine continuously generating hypotheses about the world and updating only when those hypotheses fail.

The implications are striking: consciousness may be a "controlled hallucination" where your brain's best guess about reality becomes your subjective experience. But this isn't a flaw—it's an engineering solution to an impossible problem. No finite system can process practically infinite information. Prediction compresses the computational load, but it comes at a cost: the brain must choose what to predict, what to ignore, and when prediction errors matter enough to update the model.

While standalone, this meetup adds to our previous discussions on Kahneman's dual-process theory, and emergent complexity. Where Kahneman described what the brain does (fast intuition vs. slow analysis), predictive processing explains why and how—and reveals that the separation may be less clean than System 1/System 2 suggests. The (relatively) simple rules of coordination between neurons form the basis for emergent complexity and sparse computation which leads to consciousness with a mere 20 watts. This does have its drawbacks, as made explicit by the No Free Lunch theorems.

Join us to explore how the brain constructs reality, why perception sometimes fails spectacularly, and what happens when the prediction machinery operates under different conditions.

Necessary viewing to attend this meetup: Why Your Brain Blinds You For 2 Hours Every Day — Kurzgesagt (12 min)

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Format: After an intro summary by the hosts, we will breakup into rotating groups and discuss with the aid of a handout (https://bit.ly/4shZmiE). We will regroup for the conclusions.

Events in Rochester, NY
Philosophy of Mind
Behavioral Science
Complex Adaptive Systems
Computational Neuroscience
Predictive Modeling

AI summary

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Philosophy talk on the nature of reality for curious learners. Attendees will learn a framework to question assumptions about reality.

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