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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.
1:13:06ENLex Fridman· Aug 19, 2019Podcast · 2 speakersLockheed Martin's CTO on Autonomy, the Moon, and the Culture of Not Getting It WrongGuest Keoki Jackson · Host Lex FridmanKeoki Jackson tells Lex Fridman why going back to the Moon is the easy part—and why proving a learning system will still do the right thing is not.
1:59:37ENLex Fridman· Aug 5, 2019Podcast · 2 speakersLane Centering Is the Only Self-Driving Feature That Already HelpsGuest George Hotz · Host 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.
44:48ENLex Fridman· Jul 22, 2019Podcast · 2 speakersChris Urmson: The Path to Driverless Cars Splits Away From the One That Lets You NapGuest Chris Urmson · Host Lex FridmanLex Fridman talks with Aurora CEO Chris Urmson about the DARPA races, why lidar is a tool rather than a crutch, and why Level 2 economics will not grow into true autonomy.
1:01:24ENLex Fridman· Mar 12, 2019Podcast · 2 speakersLeslie Kaelbling: You Buy the Ticket Before You Can Plan the AirportGuest Leslie Kaelbling · Host Lex FridmanThe MIT roboticist tells Lex Fridman why abstractions, belief-space control, and built-in bias matter more than picking a tribe of symbols or neural nets.
55:24ENLex Fridman· Feb 7, 2019Podcast · 2 speakersKyle Vogt Built the Highway Kit, Then Scrapped It Before Selling a Single OneGuest Kyle Vogt · Host Lex FridmanThe Cruise president and CTO tells Lex Fridman why a BattleBots kid from Kansas walked away from a working product, partnered with GM, and is spending 2019 grinding from prototype to production.
42:45ENLex Fridman· Dec 16, 2018Podcast · 2 speakersA one-legged robot learned a backflip from "this is better"Guest Pieter Abbeel · Host Lex FridmanPieter Abbeel tells Lex Fridman why preference comparisons, self-play, ten-minute demos, and messy ensembles of simulators are the practical path through deep reinforcement learning.
1:00:38ENLex Fridman· Dec 6, 2017PodcastThe Race Car and the Rulebook: Chris Gerdes on Automated Vehicle SafetyHost Lex FridmanA Stanford engineer and former DOT innovation chief explains how autonomous racing, voluntary safety guidance, and data sharing could shape safer self-driving cars.
24:22ENLex FridmanPodcast · 2 speakersCraftsmanship, First Principles and the Road to Self-Driving: Jim Keller on Working with Elon MuskGuest Jim Keller · Host 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.
54:33ENLex 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.
11:11ENLex FridmanPodcast · 2 speakersYann LeCun on Benchmarks, Interactive Environments, and Why Human Intelligence Is Not GeneralGuest Yann Lecun · Host Lex FridmanIn a 2019 clip, LeCun defends benchmarks as a test of AI claims, explains why interactive environments break the usual train-test protocol, and argues that "general intelligence" is a misnomer.
58:46ENLex FridmanPodcastCaging the Neural Network: How Aptiv Thinks About Safe Self-DrivingHost 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.
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Cognitive Revolution "How AI Changes Everything"PodcastFrom GPT-2 to GPT-3 Moments in Robotics: Six DeepMind Papers on Bridging Robots and the InternetHost Nathan LabenzKeerthana Gopalakrishnan and Ted Xiao walk through RT-2, RT-X, RT-Trajectory, AutoRT, Learning to Learn Faster and PIVOT, and say what is still missing for general-purpose robots.
10:17ENLex FridmanPodcastWhy Great Robots Fail as Businesses, and What iRobot Got RightHost Lex FridmaniRobot co-founder Colin Angle explains why so many robotics companies collapse and how cost, vision and a clear user need shaped the Roomba.
1:07:22ENLex FridmanPodcastCars That Drive Empty: Emilio Frazzoli on Why Self-Driving Needs Rules, Not Just DataHost Lex FridmanThe nuTonomy CTO explains why full autonomy and shared fleets are where the value lies, and why the hardest open problem is deciding how vehicles should behave.
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Unsupervised Learning: With Jacob EffronPodcastThe Robot That Folded the Laundry: Physical Intelligence’s Three FrontiersHost Jacob EffronKarol Hausman and Danny Driess explain how robot foundation models moved from coded primitives to web-scale pretraining, and why performance is now the hard gate.
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Lenny's PodcastPodcastIntelligence for Heavy Machines: Qasar Younis on Why Physical AI Will Change Farms, Mines and Roads FirstHost Lenny RachitskyThe Applied Intuition co-founder explains why the biggest near-term AI impact is in vehicles and industrial machines, and shares the values, reading habits and management philosophy behind a quiet $15 billion company.
1:13:18ENLex FridmanPodcastHuman-Centered or Fully Autonomous? Lex Fridman's Case for Collaboration Between Driver and MachineHost Lex FridmanLecture 2 of MIT's 2018 course on deep learning for self-driving cars covers the two paths to autonomy, how sensors compare, who is building what, and where deep learning can help.
1:18:48ENLex FridmanPodcastData Movement, Not Math: How to Make Deep Learning Fit on Robots and PhonesHost Lex FridmanMIT professor Vivienne Sze explains why moving data dominates the energy cost of neural networks and how co-designing hardware and algorithms can cut it by orders of magnitude.
1:05:15ENLex FridmanPodcastTaming the Long Tail: How Waymo Builds a Self-Driving FactoryHost Lex FridmanWaymo principal scientist Drago Anguelov explains how machine learning infrastructure, hybrid design and smart simulated agents tackle the rare events of autonomous driving.
1:27:15ENLex FridmanPodcastPolicy Gradients vs. Q-Learning: John Schulman's Field Guide to Deep Reinforcement LearningHost Lex FridmanOpenAI's John Schulman walks through the core methods of deep RL, from the score function estimator to TRPO and DQN, and says when each one is worth using.
17:35ENLex FridmanPodcastHands Off the Wheel in San Diego: A Comma Two Demo Drive and a Tour of comma.ai's Hardware ShopHost Lex FridmanAfter their podcast conversation, George Hotz takes Lex Fridman on an openpilot drive and then through the comma.ai offices, dashboards, assembly line and compute cluster.
1:13:22ENLex 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.
18:46ENLex FridmanPodcastA Brooding Stuffed Hedgehog and Lex Fridman's Case for Owning LessHost Lex FridmanIn an AMA, Lex Fridman uses his thrift-store hedgehog to talk about minimalism, anthropomorphism in robotics, and why shared experience binds people together.Load moreShowing 24 of 166