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.