Lex Fridman Podcast
Conversations that explore technology, history, philosophy, physics, mathematics, biology, chemistry, engineering, AI, robotics, programming, music, film, art, sports, psychology, neuroscience, geopolitics, business, economics, religion, astronomy,...
Avsnitt
- Nyare avsnitt
- Garry Kasparov: Chess, Deep Blue, AI, and Putin
- Sean Carroll: Quantum Mechanics and the Many-Worlds Interpretation
- Bjarne Stroustrup: C++
- Elon Musk: Neuralink, AI, Autopilot, and the Pale Blue Dot
- Michael Kearns: Algorithmic Fairness, Bias, Privacy, and Ethics in Machine Learning
- Dava Newman: Space Exploration, Space Suits, and Life on Mars
- Gilbert Strang: Linear Algebra, Deep Learning, Teaching, and MIT OpenCourseWare
- Noam Chomsky: Language, Cognition, and Deep Learning
- Ray Dalio: Principles, the Economic Machine, Artificial Intelligence & the Arc of Life
- Whitney Cummings: Comedy, Robotics, Neurology, and Love
- Judea Pearl: Causal Reasoning, Counterfactuals, Bayesian Networks, and the Path to AGI
- Rohit Prasad: Amazon Alexa and Conversational AI
- Michael Stevens: Vsauce
- Sebastian Thrun: Flying Cars, Autonomous Vehicles, and Education
- Jim Gates: Supersymmetry, String Theory and Proving Einstein Right
- Melanie Mitchell: Concepts, Analogies, Common Sense & Future of AI
- Donald Knuth: Algorithms, TeX, Life, and The Art of Computer Programming
- Stephen Kotkin: Stalin, Putin, and the Nature of Power
- Grant Sanderson: 3Blue1Brown and the Beauty of Mathematics
- Daniel Kahneman: Thinking Fast and Slow, Deep Learning, and AI
- Ayanna Howard: Human-Robot Interaction and Ethics of Safety-Critical Systems
- Paul Krugman: Economics of Innovation, Automation, Safety Nets & Universal Basic Income
- Cristos Goodrow: YouTube Algorithm
- David Chalmers: The Hard Problem of Consciousness
- Jim Keller: Moore’s Law, Microprocessors, Abstractions, and First Principles
- Vladimir Vapnik: Predicates, Invariants, and the Essence of Intelligence
- #72 – Scott Aaronson: Quantum Computing
- #73 – Andrew Ng: Deep Learning, Education, and Real-World AI
- #74 – Michael I. Jordan: Machine Learning, Recommender Systems, and the Future of AI
- #75 – Marcus Hutter: Universal Artificial Intelligence, AIXI, and AGI
- Äldre avsnitt