Inner Cosmos with David Eagleman

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.

Steven Kotler, author and flow researcher who co-founded the Flow Research Collective, joins to examine Stone Age brains facing modern miracles. He explores abundance from smartphones to compute. He warns about information overload, loss of curiosity, and the need for virtuous friction. He champions flow, group synchrony, and curiosity as essential skills for a future shaped by powerful tools.

Tetiana Aleksandrova, CEO building nanoparticle BCIs to make brain interfaces scalable. Scott Meek, head of R&D expert in nanoparticle engineering and bio‑interfaces. They explore nasal delivery and magnetic navigation of nanoparticles. They discuss reading and stimulating neural circuits, applications for Parkinson’s and ALS, AI integration, continuous monitoring, and ethics and accessibility concerns.

Jonathan Downar, a neuroscientist and psychiatrist who studies brain networks and interventional treatments, explains how persistent mental loops trap attention and behavior. He discusses how looping shows up in OCD, depression, addiction, and PTSD. The conversation covers brain sequencing, neural ‘done’ signals, stimulation techniques like TMS and deep brain approaches, and societal feedback loops.