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David Eagleman, Neuroscientist and Author, on the Brain as a Neural Parliament, AI Hallucinations, and Rethinking Democracy with AI
AI and the Future of Work: Artificial Intelligence in the Workplace, Business, Ethics, HR, and IT for AI Enthusiasts, Leaders and Academics · 9 ноября 2026 г. · 41 мин
Send us Fan Mail David Eagleman is a world-renowned neuroscientist, New York Times bestselling author, and adjunct professor at Stanford University. He is the creator and host of the Emmy-nominated PBS documentary series The Brain, as well as the host of the top-ranking science podcast Inner Cosmos. After completing his undergraduate degree in literature, David earned his PhD in neuroscience and conducted postdoctoral research at the Salk Institute under Nobel laureate Francis Crick. A prolific neurotech entrepreneur, he co-founded Neosensory to pioneer sensory substitution wristbands for the deaf and hard of hearing, and has authored landmark books including Incognito and Livewired. In this episode, David sits down with Dan for a special face-to-face conversation to examine why artificial neural networks simplified the cellular complexity of human neurons, how viewing the brain as a neural parliament explains cognitive decision-making, why the defensive activation theory reveals the evolutionary purpose of dreaming, and what the prospect of AI-driven governance means for the future of democracy. In this conversation, we discuss: Why AI’s success forced Eagleman to reconsider whether intelligence requires the biological complexity of the human brain. What the brain’s continuous learning and competing internal drives suggest about the limits of LLMs and what might come next. Why Eagleman connects AI hallucinations to creative hypothesis-making, and where testing those ideas makes the difference. His case for an AI president, how citizen-specific agents might represent voters, and why transparency and explainability would be essential. His hypothesis that dreams defend the brain’s visual territory, and how sensory substitution lets deaf users interpret sound through touch. Why understanding consciousness remains an open scientific challenge, and how Eagleman hopes AI could accelerate answers to neuroscience’s toughest questions Explore the conversation 00:00 Show intro and a special face-to-face episode 01:23 Meet Dr. David Eagleman, neuroscientist and author 02:50 From books in New Mexico to neuroscience: Eagleman's backstory 03:47 Can we engineer a brain? Neurons, neural networks, and LLMs 08:48 Continuous learning: how the brain differs from an LLM 10:25 Is recall intelligence? Remixing ideas and AI hallucinations 12:14 Beyond LLMs: the brain as a team of rivals and a neural parliament 17:37 A trillion dollars of compute: is brute force the best path to intelligence? 19:18 Studying with Francis Crick at the Salk Institute 20:23 Should AI help us lead or lead us? The case for an AI president 26:27 Who controls an AI leader? Open source, explainability, and Taylor Swift 29:04 Why we dream: defending the visual cortex from takeover 32:39 Brain plasticity and sensory substitution for the deaf 34:15 A prediction for 2036: at the foot of the mountain 36:12 Consciousness: the biggest open question in neuroscience 38:07 The ten unsolved questions of neuroscience 39:45 How AI could speed up science, and a mid-decade check-in 41:06 Where to find David Eagleman Resources: Subscribe to the AI & The Future of Work Newsletter Connect with David on LinkedIn Further reading: David Eagleman’s tribute to his mentor, “Remembering a trail blazer – Francis Crick”. Other episode mentioned: on Why Stacking Tools Around an LLM Won't Get Us to AGI