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1:29:02EN
Cognitive Revolution "How AI Changes Everything"· 1. Juli 2026PodcastFrom 50 Designs a Day to 1,500: How AI Changed What Jaguar Land Rover Can ExploreModeration: Nathan LabenzNeural Concept’s Thomas von Tschammer on specialist physics models, engineering copilots, and why Formula 1 already runs thousands of designs overnight.
1:50:08ENCognitive Revolution "How AI Changes Everything"· 7. Aug. 2024PodcastWaymo's Injury Rate Is Five Times Lower. It Still Loses to a Lyft.Moderation: Nathan LabenzHuman drivers average one fatal crash per 100 million miles — and that bar still defines the self-driving debate.
1:16:11ENCognitive Revolution "How AI Changes Everything"· 11. Juli 2024PodcastScooping Food Into Boxes Is 70 Percent of Plant LaborModeration: Nathan LabenzChef Robotics CEO Rajat Bhageria on 20 million plated meals, a foundation model for food, and why the kitchen may leave the house.
1:20:44ENCognitive Revolution "How AI Changes Everything"· 30. März 2024PodcastSeeing Like a Mamba: Vision, Rotting States, and a Cell Model in 90 DaysModeration: Nathan LabenzNathan Labenz and Jason Meaux survey the vision papers, long-context experiments, and biology work that followed the original Mamba release.
1:40:07ENCognitive Revolution "How AI Changes Everything"· 4. Juli 2023PodcastThirty thousand voltage updates a second: inside Skydio’s autonomy stackModeration: Nathan LabenzHayk Martiros walks Nathan Labenz through a two-pound drone that sees in every direction, runs more than ten neural nets on board, and will not be weaponized.
2:45:10EN
Lex Fridman· 22. Jan. 2022Podcast · 2 StimmenA Teenager Learns to Drive in Twenty Hours. A Car Still Cannot.Gast: Yann Lecun · Moderation: Lex FridmanYann LeCun tells Lex Fridman why self-supervised world models are the missing dark matter of intelligence, and why machines are not even at the level of a house cat.
2:30:30ENLex Fridman· 31. Juli 2021Podcast · 2 StimmenThe Fallacy of the Successful First StepGast: Ishan Misra · Moderation: 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.
1:41:37ENLex Fridman· 21. Juli 2020Podcast · 2 StimmenThe Fallacy of the Successful First Step: Jitendra Malik on Why Seeing Still Isn't SolvedGast: Jitendra Malik · Moderation: 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.
1:22:51ENLex Fridman· 19. Mai 2020Podcast · 2 StimmenDensity, Not Demos: Sertac Karaman on Robots That Fly and DriveGast: Sertac Karaman · Moderation: Lex FridmanThe MIT roboticist and Optimus Ride co-founder on why sharing space with people is harder than building the machine, and why flying at transportation scale is still the tougher problem.
56:47ENLex Fridman· 8. Sept. 2019Podcast · 2 StimmenWhy Vijay Kumar Refuses to Call Them DronesGast: Vijay Kumar · Moderation: Lex FridmanThe Penn roboticist on swarm design, true autonomy, and why batteries — not algorithms — still limit the sky.
1:09:11ENLex Fridman· 10. Juni 2019Podcast · 2 StimmenDon't Ship Autopilot: Gavin Miller on AI That Leaves Creatives in ChargeGast: Gavin Miller · Moderation: Lex FridmanAdobe Research's head tells Lex Fridman why smart defaults, fixable errors, and intern-scale bets matter more than a fully automatic Photoshop.
32:45ENLex Fridman· 12. Apr. 2019Podcast · 2 StimmenElon Musk: Every Driver Input Is an Error Tesla Autopilot Must EliminateGast: Elon Musk · Moderation: Lex FridmanAfter MIT published a study of functional vigilance on Autopilot, Lex Fridman sat down with Musk to argue about cameras on drivers, fleet data, and whether humans still belong in the loop.
1:25:16ENLex FridmanPodcastFrom Hand-Built Features to ResNets: Andrej Karpathy's Crash Course in Convolutional NetworksModeration: Lex FridmanA 2016 Deep Learning School talk covering how convnets work, how the ImageNet winners evolved, and how to apply them without being a hero.
54:33ENLex FridmanPodcast · 2 StimmenVision or Lidar, Human or Machine: Lex Fridman's 2019 Map of the Self-Driving RaceGast: Self-Driving Cars · Moderation: Lex FridmanThe opening lecture of MIT's 6.S094 course surveys 2018's milestones, the industry's optimistic predictions, and the beliefs about driving and humans that will decide who wins.
1:11:50ENLex FridmanPodcastData Is Everything: Teaching Self-Driving Cars to Understand the Human Behind the WheelModeration: 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 FridmanPodcastFrom Pixels to Steering Wheels: Convolutional Networks and End-to-End DrivingModeration: 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.
1:13:22ENLex FridmanPodcastThe Second 90%: What It Really Takes to Put Deep Learning on a Driverless CarModeration: Lex FridmanWaymo's Sacha Arnoud walks MIT students through Waymo's history, its perception stack, and the industrial-scale labeling, compute and testing behind it.
15:43ENLex FridmanPodcast · 2 StimmenInside RIDER: The Rugged Black Box Behind MIT's Large-Scale Driving StudyGast: MIT-AVT · Moderation: Lex FridmanA walkthrough of the data-collection device MIT-AVT uses to record drivers and vehicles in semi-autonomous cars month after month.
53:13ENLex FridmanPodcastHow Machines Learn to See: From Pixel Differences to Convolutions, ResNets and Scene SegmentationModeration: 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.