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Lex Fridman· 22. Juli 2019Podcast · 2 StimmenChris Urmson: The Path to Driverless Cars Splits Away From the One That Lets You NapGast: Chris Urmson · Moderation: 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· 12. März 2019Podcast · 2 StimmenLeslie Kaelbling: You Buy the Ticket Before You Can Plan the AirportGast: Leslie Kaelbling · Moderation: 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· 7. Feb. 2019Podcast · 2 StimmenKyle Vogt Built the Highway Kit, Then Scrapped It Before Selling a Single OneGast: Kyle Vogt · Moderation: 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· 16. Dez. 2018Podcast · 2 StimmenA one-legged robot learned a backflip from "this is better"Gast: Pieter Abbeel · Moderation: 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· 6. Dez. 2017PodcastThe Race Car and the Rulebook: Chris Gerdes on Automated Vehicle SafetyModeration: 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 StimmenCraftsmanship, First Principles and the Road to Self-Driving: Jim Keller on Working with Elon MuskGast: Jim Keller · Moderation: 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 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.
11:11ENLex FridmanPodcast · 2 StimmenYann LeCun on Benchmarks, Interactive Environments, and Why Human Intelligence Is Not GeneralGast: Yann Lecun · Moderation: 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-DrivingModeration: 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 InternetModeration: 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 RightModeration: 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 DataModeration: 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 FrontiersModeration: 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 FirstModeration: 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 MachineModeration: 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 PhonesModeration: 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 FactoryModeration: 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 LearningModeration: 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 ShopModeration: 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 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.
18:46ENLex FridmanPodcastA Brooding Stuffed Hedgehog and Lex Fridman's Case for Owning LessModeration: 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.
37:18ENLex FridmanPodcastFrom Intelligent Copilots to Aurora: Sterling Anderson on Shared Control and Building a Self-Driving CompanyModeration: Lex FridmanA guest lecture in MIT's 6.S094 course tracing Anderson's path from shared human-machine control research, through Tesla Autopilot, to co-founding Aurora.
1:39:10ENLenny's PodcastPodcastAfter the Keyboard: Why Physical AI Is the Next Frontier, According to a Veteran Hardware LeaderModeration: Lenny RachitskyCaitlin Kalinowski, who has built products at Apple, Meta and OpenAI, explains why robotics is heating up, what actually gates it, and how to build hardware that ships.
1:13:40ENUnsupervised Learning: With Jacob EffronPodcastThe Long Tail, the World Model, and the 1995 Problem: Inside Waymo's Scaling Phase and Robotics' Missing MomentModeration: Jacob EffronVincent, a distinguished engineer at Waymo, explains how foundation models became teachers for self-driving, why the long tail and causality are the real frontier, and where robotics still lacks its generalist proof point.Mehr laden24 von 175 angezeigt