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1:29:02EN
Cognitive Revolution "How AI Changes Everything"· Jul 1, 2026PodcastFrom 50 Designs a Day to 1,500: How AI Changed What Jaguar Land Rover Can ExploreHost Nathan LabenzNeural Concept’s Thomas von Tschammer on specialist physics models, engineering copilots, and why Formula 1 already runs thousands of designs overnight.Enterprise & strategyFine-tuningAgent orchestration+3
1:50:08EN
Cognitive Revolution "How AI Changes Everything"· Aug 7, 2024PodcastWaymo's Injury Rate Is Five Times Lower. It Still Loses to a Lyft.Host Nathan LabenzHuman drivers average one fatal crash per 100 million miles — and that bar still defines the self-driving debate.AgentsAutonomous DrivingSafety & governance+3
1:16:11EN
Cognitive Revolution "How AI Changes Everything"· Jul 11, 2024PodcastScooping Food Into Boxes Is 70 Percent of Plant LaborHost Nathan LabenzChef Robotics CEO Rajat Bhageria on 20 million plated meals, a foundation model for food, and why the kitchen may leave the house.RoboticsData quality & curationLocal inference+3
1:20:44EN
Cognitive Revolution "How AI Changes Everything"· Mar 30, 2024PodcastSeeing Like a Mamba: Vision, Rotting States, and a Cell Model in 90 DaysHost Nathan LabenzNathan Labenz and Jason Meaux survey the vision papers, long-context experiments, and biology work that followed the original Mamba release.Models & trainingAI researchTransformers & attention+3
1:40:07EN
Cognitive Revolution "How AI Changes Everything"· Jul 4, 2023PodcastThirty thousand voltage updates a second: inside Skydio’s autonomy stackHost 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.AgentsRoboticsAutonomous Systems+3
2:45:10EN
Lex Fridman· Jan 22, 2022Podcast · 2 speakersA Teenager Learns to Drive in Twenty Hours. A Car Still Cannot.Guest Yann Lecun · Host 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.Models & trainingWorld modelsComputer Vision+3
2:30:30EN
Lex Fridman· Jul 31, 2021Podcast · 2 speakersThe Fallacy of the Successful First StepGuest Ishan Misra · Host 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.Models & trainingComputer VisionMultimodal AI+3
1:41:37EN
Lex Fridman· Jul 21, 2020Podcast · 2 speakersThe Fallacy of the Successful First Step: Jitendra Malik on Why Seeing Still Isn't SolvedGuest Jitendra Malik · Host 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.Models & trainingVision & videoAutonomous Driving+3
1:22:51EN
Lex Fridman· May 19, 2020Podcast · 2 speakersDensity, Not Demos: Sertac Karaman on Robots That Fly and DriveGuest Sertac Karaman · Host 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.RoboticsAutonomous DrivingAutonomous Systems+3
56:47EN
Lex Fridman· Sep 8, 2019Podcast · 2 speakersWhy Vijay Kumar Refuses to Call Them DronesGuest Vijay Kumar · Host Lex FridmanThe Penn roboticist on swarm design, true autonomy, and why batteries — not algorithms — still limit the sky.RoboticsAutonomous SystemsMulti-agent systems+3
1:09:11EN
Lex Fridman· Jun 10, 2019Podcast · 2 speakersDon't Ship Autopilot: Gavin Miller on AI That Leaves Creatives in ChargeGuest Gavin Miller · Host Lex FridmanAdobe Research's head tells Lex Fridman why smart defaults, fixable errors, and intern-scale bets matter more than a fully automatic Photoshop.Product & UXGenerative mediaHuman-AI Collaboration+3
32:45EN
Lex Fridman· Apr 12, 2019Podcast · 2 speakersElon Musk: Every Driver Input Is an Error Tesla Autopilot Must EliminateGuest Elon Musk · Host 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.Security & safetyAutonomous DrivingHuman-in-the-loop validation+3
1:25:16EN
Lex FridmanPodcastFrom Hand-Built Features to ResNets: Andrej Karpathy's Crash Course in Convolutional NetworksHost 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.Models & trainingDeep LearningComputer Vision+3
54:33EN
Lex FridmanPodcast · 2 speakersVision or Lidar, Human or Machine: Lex Fridman's 2019 Map of the Self-Driving RaceGuest Self-Driving Cars · Host 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.Autonomous DrivingDeep LearningComputer Vision+3
1:11:50EN
Lex FridmanPodcastData Is Everything: Teaching Self-Driving Cars to Understand the Human Behind the WheelHost 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.Multimodal & mediaDeep LearningVision & video+3
1:19:52EN
Lex FridmanPodcastFrom Pixels to Steering Wheels: Convolutional Networks and End-to-End DrivingHost 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.Models & trainingAutonomous DrivingDeep Learning+3
1:13:22EN
Lex FridmanPodcastThe Second 90%: What It Really Takes to Put Deep Learning on a Driverless CarHost 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.Models & trainingAutonomous DrivingRobotics+3
53:13EN
Lex FridmanPodcastHow Machines Learn to See: From Pixel Differences to Convolutions, ResNets and Scene SegmentationHost 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.Models & trainingComputer VisionDeep Learning+3