All Episodes

#104 – David Patterson: Computer Architecture and Data Storage

#103 – Ben Goertzel: Artificial General Intelligence

#102 – Steven Pressfield: The War of Art

#101 – Joscha Bach: Artificial Consciousness and the Nature of Reality

#99 – Karl Friston: Neuroscience and the Free Energy Principle

#97 – Sertac Karaman: Robots That Fly and Robots That Drive

#96 – Stephen Schwarzman: Going Big in Business, Investing, and AI

#95 – Dawn Song: Adversarial Machine Learning and Computer Security

#94 – Ilya Sutskever: Deep Learning

#93 – Daphne Koller: Biomedicine and Machine Learning

#92 – Harry Cliff: Particle Physics and the Large Hadron Collider

#91 – Jack Dorsey: Square, Cryptocurrency, and Artificial Intelligence

#90 – Dmitry Korkin: Computational Biology of Coronavirus

#89 – Stephen Wolfram: Cellular Automata, Computation, and Physics

#88 – Eric Weinstein: Geometric Unity and the Call for New Ideas, Leaders & Institutions

#87 – Richard Dawkins: Evolution, Intelligence, Simulation, and Memes

#86 – David Silver: AlphaGo, AlphaZero, and Deep Reinforcement Learning

#85 – Roger Penrose: Physics of Consciousness and the Infinite Universe

#83 – Nick Bostrom: Simulation and Superintelligence

#82 – Simon Sinek: Leadership, Hard Work, Optimism and the Infinite Game

#81 – Anca Dragan: Human-Robot Interaction and Reward Engineering

#80 – Vitalik Buterin: Ethereum, Cryptocurrency, and the Future of Money

#79 – Lee Smolin: Quantum Gravity and Einstein’s Unfinished Revolution

#78 – Ann Druyan: Cosmos, Carl Sagan, Voyager, and the Beauty of Science

#77 – Alex Garland: Ex Machina, Devs, Annihilation, and the Poetry of Science

#76 – John Hopfield: Physics View of the Mind and Neurobiology

#75 – Marcus Hutter: Universal Artificial Intelligence, AIXI, and AGI

#74 – Michael I. Jordan: Machine Learning, Recommender Systems, and the Future of AI

#73 – Andrew Ng: Deep Learning, Education, and Real-World AI

#72 – Scott Aaronson: Quantum Computing

Vladimir Vapnik: Predicates, Invariants, and the Essence of Intelligence

Jim Keller: Moore’s Law, Microprocessors, Abstractions, and First Principles

David Chalmers: The Hard Problem of Consciousness

Cristos Goodrow: YouTube Algorithm

Paul Krugman: Economics of Innovation, Automation, Safety Nets & Universal Basic Income

Ayanna Howard: Human-Robot Interaction and Ethics of Safety-Critical Systems

Daniel Kahneman: Thinking Fast and Slow, Deep Learning, and AI

Grant Sanderson: 3Blue1Brown and the Beauty of Mathematics

Stephen Kotkin: Stalin, Putin, and the Nature of Power

Donald Knuth: Algorithms, TeX, Life, and The Art of Computer Programming

Melanie Mitchell: Concepts, Analogies, Common Sense & Future of AI

Jim Gates: Supersymmetry, String Theory and Proving Einstein Right

Sebastian Thrun: Flying Cars, Autonomous Vehicles, and Education

Michael Stevens: Vsauce

Rohit Prasad: Amazon Alexa and Conversational AI

Judea Pearl: Causal Reasoning, Counterfactuals, Bayesian Networks, and the Path to AGI

Whitney Cummings: Comedy, Robotics, Neurology, and Love

Ray Dalio: Principles, the Economic Machine, Artificial Intelligence & the Arc of Life

Noam Chomsky: Language, Cognition, and Deep Learning

Gilbert Strang: Linear Algebra, Deep Learning, Teaching, and MIT OpenCourseWare

Dava Newman: Space Exploration, Space Suits, and Life on Mars

Michael Kearns: Algorithmic Fairness, Bias, Privacy, and Ethics in Machine Learning

Elon Musk: Neuralink, AI, Autopilot, and the Pale Blue Dot

Bjarne Stroustrup: C++

Sean Carroll: Quantum Mechanics and the Many-Worlds Interpretation

Garry Kasparov: Chess, Deep Blue, AI, and Putin

Michio Kaku: Future of Humans, Aliens, Space Travel & Physics

David Ferrucci: IBM Watson, Jeopardy & Deep Conversations with AI

Gary Marcus: Toward a Hybrid of Deep Learning and Symbolic AI

Peter Norvig: Artificial Intelligence: A Modern Approach

Leonard Susskind: Quantum Mechanics, String Theory, and Black Holes

Regina Barzilay: Deep Learning for Cancer Diagnosis and Treatment

Colin Angle: iRobot

François Chollet: Keras, Deep Learning, and the Progress of AI

Vijay Kumar: Flying Robots

Yann LeCun: Deep Learning, Convolutional Neural Networks, and Self-Supervised Learning

Jeremy Howard: fast.ai Deep Learning Courses and Research

Pamela McCorduck: Machines Who Think and the Early Days of AI

Keoki Jackson: Lockheed Martin

Paola Arlotta: Brain Development from Stem Cell to Organoid

George Hotz: Comma.ai, OpenPilot, and Autonomous Vehicles

Kevin Scott: Microsoft CTO

Gustav Soderstrom: Spotify

Chris Urmson: Self-Driving Cars at Aurora, Google, CMU, and DARPA

Kai-Fu Lee: AI Superpowers – China and Silicon Valley

Sean Carroll: The Nature of the Universe, Life, and Intelligence

Jeff Hawkins: Thousand Brains Theory of Intelligence

Rosalind Picard: Affective Computing, Emotion, Privacy, and Health

Gavin Miller: Adobe Research

Rajat Monga: TensorFlow

Chris Lattner: Compilers, LLVM, Swift, TPU, and ML Accelerators

Oriol Vinyals: DeepMind AlphaStar, StarCraft, Language, and Sequences

Ian Goodfellow: Generative Adversarial Networks (GANs)

Elon Musk: Tesla Autopilot

Greg Brockman: OpenAI and AGI

Eric Weinstein: Revolutionary Ideas in Science, Math, and Society

Leslie Kaelbling: Reinforcement Learning, Planning, and Robotics

Kyle Vogt: Cruise Automation

Tomaso Poggio: Brains, Minds, and Machines

Tuomas Sandholm: Poker and Game Theory

Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs

Pieter Abbeel: Deep Reinforcement Learning

Stuart Russell: Long-Term Future of AI

Eric Schmidt: Google

Jeff Atwood: Stack Overflow and Coding Horror

Guido van Rossum: Python

Vladimir Vapnik: Statistical Learning

Yoshua Bengio: Deep Learning

Steven Pinker: AI in the Age of Reason

Christof Koch: Consciousness