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4:18:22EN
Lex Fridman· 6 may 2026Pódcast · 2 vocesEvery Cycle Matters: The Volunteers Who Decode Almost All Internet VideoInvitado: FFmpeg · Presenta: Lex FridmanLex Fridman talks with Jean-Baptiste Kempf and Kieran Kunhya about FFmpeg, VLC, handwritten assembly, and the unpaid crew behind YouTube, Netflix, and a rover on Mars.
1:55:10ENLex Fridman· 18 mar 2024Pódcast · 2 vocesSam Altman Expects the Road to AGI to Be a Power StruggleInvitado: Sam Altman · Presenta: Lex FridmanOn a Friday afternoon in November 2023, OpenAI's board fired its CEO. Four and a half days later he was back, still refusing super-voting control.
2:36:21ENLex Fridman· 21 sept 2022Pódcast · 2 vocesA Smile Is Not Happiness: Rana el Kaliouby on Emotion AI and the Empathy CrisisInvitado: Rana el Kaliouby · Presenta: Lex FridmanThe Affectiva founder and Smart Eye deputy CEO talks with Lex Fridman about teaching machines to read faces, sensing drivers inside the cabin, and why she is proudest of the people her company grew.
2:30:30ENLex Fridman· 31 jul 2021Pódcast · 2 vocesThe Fallacy of the Successful First StepInvitado: Ishan Misra · Presenta: Lex FridmanBerkeley's Jitendra Malik explains why computer vision still looks easy, why fully autonomous driving is not near, and what children know that today's networks do not.
2:10:06ENLex Fridman· 14 ago 2020Pódcast · 2 vocesYou Might Have to Understand the World to Understand the Letter AInvitado: Dileep George · Presenta: Lex FridmanDileep George on recursive cortical networks, why a five-year-old can read any new CAPTCHA, and what the Wright brothers actually learned from birds.
1:41:37ENLex Fridman· 21 jul 2020Pódcast · 2 vocesThe Fallacy of the Successful First Step: Jitendra Malik on Why Seeing Still Isn't SolvedInvitado: Jitendra Malik · Presenta: Lex FridmanBerkeley's Jitendra Malik tells Lex Fridman why computer vision keeps underestimating itself, why full self-driving still needs cognition, and why vision is the parent of language.
1:37:31ENLex Fridman· 14 jul 2020Pódcast · 2 vocesThe Robot That Brought the Beer Was Being TeleoperatedInvitado: Sergey Levine · Presenta: Lex FridmanSergey Levine tells Lex Fridman why hardware is almost closed, why common sense has to be lived, and why offline reinforcement learning is the missing on-ramp from logs to robots that keep getting better.
2:12:36ENLex Fridman· 12 may 2020Pódcast · 2 vocesAttacks Climb the Stack Until They Land on PeopleInvitado: Dawn Song · Presenta: Lex FridmanDawn Song tells Lex Fridman why the next security crisis is human, how a sticker can rewrite a stop sign, and why data still has no property right.
1:17:29ENLex Fridman· 23 sept 2019Pódcast · 2 vocesThe Algorithm Is Already Better. The Clinic Still Uses 1967.Invitado: Regina Barzilay · Presenta: Lex FridmanMIT's Regina Barzilay on why deep learning already beats the breast-cancer 'density' score — and why data, liability, and incentives still will not move.
1:15:58ENLex Fridman· 31 ago 2019Pódcast · 2 vocesHuman Intelligence Is a Ridiculously Narrow SliverInvitado: Yann Lecun · Presenta: Lex FridmanYann LeCun tells Lex Fridman why giant nets plus gradient descent broke the textbooks, why "AGI" is the wrong word, and why the next leap is a world model learned like a baby.
1:59:37ENLex Fridman· 5 ago 2019Pódcast · 2 vocesLane Centering Is the Only Self-Driving Feature That Already HelpsInvitado: George Hotz · Presenta: Lex Fridmancomma.ai founder George Hotz tells Lex Fridman why staying in the lane beats Level 5 promises, and why a robotaxi stack still has no network effect.
24:22ENLex FridmanPódcast · 2 vocesCraftsmanship, First Principles and the Road to Self-Driving: Jim Keller on Working with Elon MuskInvitado: Jim Keller · Presenta: Lex FridmanThe veteran chip architect explains why he thinks autonomous driving is a tractable engineering problem, how Tesla's cost constraints shaped its hardware, and what he took from Musk's way of thinking.
9:59ENLex FridmanPódcastIs Language or Vision Harder? Ilya Sutskever on the Unity of Machine LearningPresenta: Lex FridmanIn a short clip from his 2020 conversation with Lex Fridman, Ilya Sutskever explains why vision, language and reinforcement learning share the same few principles, and why asking which problem is harder is the wrong question.
58:46ENLex FridmanPódcastCaging the Neural Network: How Aptiv Thinks About Safe Self-DrivingPresenta: Lex FridmanAptiv Autonomous Mobility's Karl Iagnemma and Oscar Beijbom explain why end-to-end learning is hard to trust in cars, and show how PointPillars and nuScenes push lidar perception forward.
1:11:50ENLex FridmanPódcastData Is Everything: Teaching Self-Driving Cars to Understand the Human Behind the WheelPresenta: Lex FridmanIn an MIT lecture, Lex Fridman shows how deep learning can sense pedestrians, driver posture, gaze, emotion and cognitive load, and why that matters for human-centered autonomy.
1:19:52ENLex FridmanPódcastFrom Pixels to Steering Wheels: Convolutional Networks and End-to-End DrivingPresenta: Lex FridmanLex Fridman's MIT 6.S094 lecture explains how convolutional neural networks work, where deep learning helps a self-driving car, and how to train a network to steer from video.
53:13ENLex FridmanPódcastHow Machines Learn to See: From Pixel Differences to Convolutions, ResNets and Scene SegmentationPresenta: Lex FridmanLex Fridman's MIT 6.S094 lecture walks from the basics of image classification through landmark network architectures to pixel-level segmentation, optical flow and the SegFuse competition.
34:33ENLex FridmanPódcastTeaching Cars to Watch the Driver: Deep Learning for Semi-Autonomous VehiclesPresenta: Lex FridmanLex Fridman's MIT 6.S094 lecture on using driver-facing cameras and neural networks to understand body pose, gaze, emotion and cognitive load.
11:29ENLex FridmanPódcastWhy Tesla AI Day Was the Most Impressive Real-World AI Effort Lex Fridman Has SeenPresenta: Lex FridmanLex Fridman walks through the neural network, data annotation, Dojo and Tesla Bot announcements and what they say about solving real-world robotics.
1:31:29ENLex FridmanPódcastIs Driving More Like Chess or Conversation? Lex Fridman's Opening Lecture on Deep Learning for Self-Driving CarsPresenta: Lex FridmanThe first lecture of MIT 6.S094 introduces neural networks, reinforcement learning and computer vision through the question of how hard driving really is.