Inner Cosmos with David Eagleman

Color may feel like a property of the world, but it is a vivid construction of the brain. Explore the science behind the dress illusion, why mammals lost much of their color vision, how primates detect emotional changes in skin, and why hunters wear blaze orange. The journey also visits ultraviolet flowers, camouflage, warning colors, mantis shrimp, and the sunlight that shaped human sight.

Robert Kolker, bestselling author of Hidden Valley Road, explores frontotemporal dementia through one family’s devastating story. They discuss how brain circuitry shapes personality, the legal and emotional fallout of radically altered behavior, and the anguish of losing someone who is still alive. Genetic testing, family responsibility, emerging treatments, and the difficult question of who we become when our brains change also take center stage.

Athena Aktipis, an evolutionary biologist and cooperation theorist at Arizona State University, explores how cells collaborate to form organisms, and how cancer exploits that teamwork. The conversation connects cellular cheating to human conscience, politics, polarization, parasites, and cults. It then turns to AI alignment, strategic cooperation, and designing safer multi-agent systems.

Why are dreams so bizarre, universal, and emotionally convincing? Explore how REM sleep, brain plasticity, memory, and random neural activity create alternate realities filled with falling, pursuit, failure, and other recurring themes. The discussion also examines why technology and reading rarely appear, how culture shapes dream color, links between dreams and psychosis, and whether neuroscience may soon decode dream imagery.

Robert Kurzban, an evolutionary psychologist and author of All the Feels, explores the hidden logic of emotion. He discusses fear, jealousy, love, resentment, disgust, awe, grief, and anger, plus how feelings compete for control. The conversation also examines dating apps, social media, and processed food as modern triggers for ancient emotional systems, and whether understanding feelings can loosen their grip.

Michael Snyder, a Stanford geneticist pioneering personalized medicine, explores a future where health is tracked as a continuous movie rather than occasional snapshots. They discuss personal baselines, glucose monitors, smartwatches, AI-powered alerts, biological aging patterns, and detecting illness before symptoms appear. Snyder also examines how real-time feedback changes behavior and why environmental and social data may become part of healthcare.

Paige Gordon, an author, former model, and eating-disorder advocate, shares her decades-long struggle with bulimia and food noise. She describes bingeing, compulsive urges, and the difference between craving and pleasure. The conversation explores GLP-1 medication, genetic clues, precision treatment, the risks of one-size-fits-all care, and how biology reshapes ideas about willpower, responsibility, and compassion.

Scott Solomon, an evolutionary biologist, Rice University professor, and author of Becoming Martian, explores how Mars could transform humanity. They discuss babies born in low gravity, fragile microbiomes, radiation, genetic engineering, altered sleep and dreaming, and whether isolated settlements might eventually become a new human species. They also imagine how Martians could experience Earth’s oceans, forests, and wildlife.

Jack Lindsey, an interpretability researcher at Anthropic, takes us inside Claude’s hidden processes. They explore J-space, AI’s possible global workspace, concealed calculations, directed attention, and experiments that alter internal concepts. The conversation probes whether these mechanisms resemble consciousness, how hidden activity could reveal deception or safety risks, and what AI mind-reading might teach neuroscience.

A provocative dive into whether an AI could govern better than humans. Explores AI's ability to extract patterns, simulate millions of futures, and expand policy search space. Imagines personal AI agents enabling a form of direct democracy. Examines trust issues like data, explainability, and public control, plus how AI might be adopted incrementally in governance.