Jim talks with Jeff Hawkins and Viviane Clay about the Thousand Brains Project and Jeff's book A Thousand Brains: A New Theory of Intelligence. They discuss Mountcastle's theory of the neocortex's universal algorithm, cortical columns & their structure, learning modules in AI sensory systems, reprogramming of the neocortex, the 6 layers of cortex, mini-columns & macro-columns, the visual cascade, reference frames as essential for knowledge representation, "voting" for perceptual consensus, how the project differs from deep learning & LLM approaches, James Gibson's concept of affordances, the "Jennifer Aniston neuron" idea, current state of the Monte project, solving fundamental problems vs making impressive demos, avoiding "old brain" traits in AI systems, and much more. Episode Transcript Perceptual Neuroscience: The Cerebral Cortex, Vernon B. Mountcastle On Intelligence, Jeff Hawkins and Sandra Blakeslee (2004) A Thousand Brains: A New Theory of Intelligence, Jeff Hawkins Monte Project – Open-Source Implementation Superintelligence: Paths, Dangers, Strategies, Nick Bostrom Jeff Hawkins is a scientist whose life-long interest in neuroscience led to the creation of Numenta and its focus on neocortical theory. His research focuses on how the cortex learns predictive models of the world through sensation and movement. In 2002, he founded the Redwood Neuroscience Institute, where he served as Director for three years. The institute is currently located at U.C. Berkeley. Previously, he co-founded two companies, Palm and Handspring, where he designed products such as the PalmPilot and Treo smartphone. Jeff has written two books, On Intelligence (2004 with Sandra Blakeslee) and A Thousand Brains: A New Theory of Intelligence (2021). Viviane Clay is the director of the Thousand Brains Project. She received her doctorate degree in Cognitive Computing and master’s degree in Cognitive Science at University of Osnabrück in Germany, where she focused on sensorimotor learning as a key aspect in intelligence. She brings to Numenta fifteen years of coding experience, along with her background in neuroscience, psychology, and machine learning.