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Lex Fridman· 22 ene 2022Pódcast · 2 vocesA Teenager Learns to Drive in Twenty Hours. A Car Still Cannot.Invitado: Yann Lecun · Presenta: 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 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.
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.
1:22:51ENLex Fridman· 19 may 2020Pódcast · 2 vocesDensity, Not Demos: Sertac Karaman on Robots That Fly and DriveInvitado: Sertac Karaman · Presenta: 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 2019Pódcast · 2 vocesWhy Vijay Kumar Refuses to Call Them DronesInvitado: Vijay Kumar · Presenta: Lex FridmanThe Penn roboticist on swarm design, true autonomy, and why batteries — not algorithms — still limit the sky.
1:09:11ENLex Fridman· 10 jun 2019Pódcast · 2 vocesDon't Ship Autopilot: Gavin Miller on AI That Leaves Creatives in ChargeInvitado: Gavin Miller · Presenta: 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 abr 2019Pódcast · 2 vocesElon Musk: Every Driver Input Is an Error Tesla Autopilot Must EliminateInvitado: Elon Musk · Presenta: 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 FridmanPódcastFrom Hand-Built Features to ResNets: Andrej Karpathy's Crash Course in Convolutional NetworksPresenta: 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 FridmanPódcast · 2 vocesVision or Lidar, Human or Machine: Lex Fridman's 2019 Map of the Self-Driving RaceInvitado: Self-Driving Cars · Presenta: 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 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.
1:13:22ENLex FridmanPódcastThe Second 90%: What It Really Takes to Put Deep Learning on a Driverless CarPresenta: 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.
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.