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,...
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- #502 – Psychiatry, Insane Asylums, Mental Illness, ECT, Lobotomies, Freud & Jung
- #501 – DHH: Future of Programming, AI, Agentic Engineering, Vibe Coding & Linux
- #500 – Khabib Nurmagomedov: Dagestan, MMA, UFC, Islam, Conor, Fedor & Football
- #499 – Gary Gallagher: American Civil War, Slavery, Lincoln, Grant & Lee
- #498 – Anthony Kaldellis: Roman Empire, Byzantine Empire, Rise & Fall of Empires
- #497 – Biggest Mysteries in Physics: Antimatter, Dark Energy & ToE – Don Lincoln
- #496 – FFmpeg: The Incredible Technology Behind Video on the Internet
- #495 – Vikings, Ragnar, Berserkers, Valhalla & the Warriors of the Viking Age
- #494 – Jensen Huang: NVIDIA – The $4 Trillion Company & the AI Revolution
- #493 – Jeff Kaplan: World of Warcraft, Overwatch, Blizzard, and Future of Gaming
- #492 – Rick Beato: Greatest Guitarists of All Time, History & Future of Music
- #491 – OpenClaw: The Viral AI Agent that Broke the Internet – Peter Steinberger
- #490 – State of AI in 2026: LLMs, Coding, Scaling Laws, China, Agents, GPUs, AGI
- #489 – Paul Rosolie: Uncontacted Tribes in the Amazon Jungle
- #488 – Infinity, Paradoxes that Broke Mathematics, Gödel Incompleteness & the Multiverse – Joel David Hamkins
- Max Tegmark: Life 3.0
- Christof Koch: Consciousness
- Steven Pinker: AI in the Age of Reason
- Yoshua Bengio: Deep Learning
- Vladimir Vapnik: Statistical Learning
- Guido van Rossum: Python
- Jeff Atwood: Stack Overflow and Coding Horror
- Eric Schmidt: Google
- Stuart Russell: Long-Term Future of AI
- Pieter Abbeel: Deep Reinforcement Learning
- Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs
- Tuomas Sandholm: Poker and Game Theory
- Tomaso Poggio: Brains, Minds, and Machines
- Kyle Vogt: Cruise Automation
- Leslie Kaelbling: Reinforcement Learning, Planning, and Robotics
- Äldre avsnitt