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Join us for a mind-bending exploration of the hypothesis that human consciousness is not a mystical phenomenon, but a biological "prediction engine" evolved to keep us alive. In this episode, we unpack the "Free Energy Principle," which suggests that all living things survive by minimizing "surprisal" and resisting the chaos of entropy. We discuss the neuroscientific view that our perception of reality is actually a "controlled hallucination"—a best guess generated by the brain to navigate the world.
We apply this lens to the human experience, examining how gender differences in risk-taking and mating preferences may function as evolved heuristics to manage reproductive uncertainty. We also look at how human culture, laws, and religion serve as "distributed prediction machines" that stabilize social groups and reduce collective anxiety.
Finally, we tackle the "Dark Room Problem": if we crave certainty, why do we enjoy the unpredictability of art and music? We explore the "Learning Progress" hypothesis, which suggests we seek out controlled novelty to update our mental models , and look at historical warnings, such as the Weimar hyperinflation, to understand the psychological trauma that occurs when our shared systems of predictability collapse.
By 128596915Join us for a mind-bending exploration of the hypothesis that human consciousness is not a mystical phenomenon, but a biological "prediction engine" evolved to keep us alive. In this episode, we unpack the "Free Energy Principle," which suggests that all living things survive by minimizing "surprisal" and resisting the chaos of entropy. We discuss the neuroscientific view that our perception of reality is actually a "controlled hallucination"—a best guess generated by the brain to navigate the world.
We apply this lens to the human experience, examining how gender differences in risk-taking and mating preferences may function as evolved heuristics to manage reproductive uncertainty. We also look at how human culture, laws, and religion serve as "distributed prediction machines" that stabilize social groups and reduce collective anxiety.
Finally, we tackle the "Dark Room Problem": if we crave certainty, why do we enjoy the unpredictability of art and music? We explore the "Learning Progress" hypothesis, which suggests we seek out controlled novelty to update our mental models , and look at historical warnings, such as the Weimar hyperinflation, to understand the psychological trauma that occurs when our shared systems of predictability collapse.