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45 件
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3:28:47EN
Lex Fridman· 2022年10月29日ポッドキャスト · 2 人Karpathy Calls Trained Neural Nets Complicated Alien Artifactsゲスト Andrej Karpathy · ホスト Lex FridmanOn Lex Fridman's podcast, Andrej Karpathy refuses the brain analogy, walks the Fermi paradox through Nick Lane's chemistry, and treats the Transformer as a general-purpose differentiable computer.モデルと学習AGI(汎用人工知能)Autonomous Driving+3
1:09:10EN
Lex Fridman· 2022年4月27日ポッドキャスト · 2 人The Same Snapdragon That Flies on Mars Powers a Galaxy Phoneゲスト Cristiano Amon · ホスト Lex FridmanQualcomm CEO Cristiano Amon talks with Lex Fridman about 5G, Snapdragon, cars, the chip shortage, and how to map the border of your own competence.インフラとデプロイSemiconductorsProduct Strategy+3
2:31:48EN
Lex Fridman· 2021年12月28日ポッドキャスト · 2 人A Car That Cannot Drive Itself Will Be About as Useful as a Horseゲスト Elon Musk · ホスト Lex FridmanIn a Lex Fridman conversation built around Tesla Autopilot, Elon Musk argues that every driver input is an error, that today’s hardware is already enough for full self-driving, and that watching the human will soon matter less than making the system safer than a person.セキュリティと安全性Autonomous DrivingRobotics+3
3:14:14EN
Lex Fridman· 2021年11月16日ポッドキャスト · 2 人Four Joints, Eighty Thousand Pounds: Boris Sofman on Cozmo and Waymoゲスト Boris Sofman · ホスト Lex FridmanAnki's co-founder on saturating a few channels of expression, why a beloved robot company still died, and how the same constraint mindset now runs Waymo's trucks.企業と戦略RoboticsAutonomous Driving+3
3:12:17EN
Lex Fridman· 2021年11月3日ポッドキャスト · 2 人You Better Already Have Everything You Ever Wantedゲスト Steve Viscelli · ホスト Lex FridmanA former long-haul driver turned Penn sociologist walks Lex Fridman through how trucking fell from a golden-age trade to a last-resort job, and the six ways robots might finish the work.企業と戦略Autonomous DrivingRobotics+1
2:23:10EN
Lex Fridman· 2020年12月20日ポッドキャスト · 2 人Building a Driver, Not a Copilot: Waymo CTO Dmitri Dolgov on Fully Driverless Carsゲスト Dmitri Dolgov · ホスト Lex FridmanFrom a 3 a.m. parking-lot planner at Stanford to a public robotaxi in Phoenix, Dolgov tells Lex Fridman why driver assist and a real driver are different products.企業と戦略Autonomous DrivingAutonomous Systems+3
1:44:47EN
Lex Fridman· 2020年11月25日ポッドキャスト · 2 人Erik Brynjolfsson on the Exponential Mismatch Remaking Work and Politicsゲスト Erik Brynjolfsson · ホスト Lex FridmanThe Stanford economist tells Lex Fridman why COVID, AI, and social networks all punish linear intuition — and why shared prosperity is the only way the pie-growing story holds.企業と戦略AI Strategyエンタープライズ AI+3
3:12:55EN
Lex Fridman· 2020年10月21日ポッドキャスト · 2 人The IQ required to destroy the world drops by one point every yearゲスト George Hotz · ホスト Lex FridmanGeorge Hotz on Fermi's paradox, hacking the simulation, and teaching cars to drive with neural nets.エージェントAutonomous DrivingSimulation Hypothesis+3
1:41:37EN
Lex Fridman· 2020年7月21日ポッドキャスト · 2 人The Fallacy of the Successful First Step: Jitendra Malik on Why Seeing Still Isn't Solvedゲスト Jitendra Malik · ホスト 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.モデルと学習画像と動画Autonomous Driving+3
1:22:51EN
Lex Fridman· 2020年5月19日ポッドキャスト · 2 人Density, Not Demos: Sertac Karaman on Robots That Fly and Driveゲスト Sertac Karaman · ホスト 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
1:38:33EN
Lex Fridman· 2020年3月19日ポッドキャスト · 2 人Maybe people are rational under different assumptionsゲスト Anca Dragan · ホスト Lex FridmanAnca Dragan talks with Lex Fridman about inverse reinforcement learning, autonomous driving, and why a written reward is evidence rather than law.エージェントRoboticsReinforcement Learning+3
1:34:44EN
Lex Fridman· 2020年2月5日ポッドキャスト · 2 人Moore's Law Has Been About to Die for Forty Yearsゲスト Jim Keller · ホスト Lex FridmanChip architect Jim Keller tells Lex Fridman why a cascade of diminishing-return curves still looks exponential, why you rewrite the CPU every five years, and why driving a car is not a super-hard problem.SemiconductorsFirst PrinciplesAutonomous Driving+1
1:18:41EN
Lex Fridman· 2020年1月14日ポッドキャスト · 2 人The SS Soldier Who Hugged a Jewish Boy, and the Systems That Still Fool Usゲスト Daniel Kahneman · ホスト Lex FridmanDaniel Kahneman on System 1, deep learning that does not know what it is saying, and why a machine that must call a human is almost as hard as a machine that never needs one.機械学習の基礎Deep LearningHuman-AI Collaboration+3
1:18:35EN
Lex Fridman· 2019年12月21日ポッドキャスト · 2 人The last job Sebastian Thrun wants is one he is already good atゲスト Sebastian Thrun · ホスト Lex FridmanLex Fridman talks with the roboticist behind Stanley, Google’s self-driving car, Udacity, and Kitty Hawk about learning, safety, and why traffic is a choice.Autonomous DrivingRoboticsAI in Education+3
56:47EN
Lex Fridman· 2019年9月8日ポッドキャスト · 2 人Why Vijay Kumar Refuses to Call Them Dronesゲスト Vijay Kumar · ホスト Lex FridmanThe Penn roboticist on swarm design, true autonomy, and why batteries — not algorithms — still limit the sky.RoboticsAutonomous SystemsMulti-agent systems+3
1:59:37EN
Lex Fridman· 2019年8月5日ポッドキャスト · 2 人Lane Centering Is the Only Self-Driving Feature That Already Helpsゲスト George Hotz · ホスト 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.企業と戦略Autonomous DrivingRobotics+3
44:48EN
Lex Fridman· 2019年7月22日ポッドキャスト · 2 人Chris Urmson: The Path to Driverless Cars Splits Away From the One That Lets You Napゲスト Chris Urmson · ホスト 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.エージェントAutonomous Driving安全性とガバナンス+3
32:45EN
Lex Fridman· 2019年4月12日ポッドキャスト · 2 人Elon Musk: Every Driver Input Is an Error Tesla Autopilot Must Eliminateゲスト Elon Musk · ホスト 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.セキュリティと安全性Autonomous Driving人による検証(HITL)+3
55:24EN
Lex Fridman· 2019年2月7日ポッドキャスト · 2 人Kyle Vogt Built the Highway Kit, Then Scrapped It Before Selling a Single Oneゲスト Kyle Vogt · ホスト 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.企業と戦略Autonomous DrivingRobotics+3
1:26:21EN
Lex Fridman· 2018年12月9日ポッドキャスト · 2 人The Machine Should Never Treat Its Objective as Gospelゲスト Stuart Russell · ホスト Lex FridmanStuart Russell talks with Lex Fridman about metareasoning, self-driving reliability, and why uncertainty about human goals is the core of the control problem.セキュリティと安全性安全性とガバナンスAutonomous Driving+3
1:00:38EN
Lex Fridman· 2017年12月6日ポッドキャストThe Race Car and the Rulebook: Chris Gerdes on Automated Vehicle Safetyホスト 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.セキュリティと安全性Autonomous Driving安全性とガバナンス+3
24:22EN
Lex Fridmanポッドキャスト · 2 人Craftsmanship, First Principles and the Road to Self-Driving: Jim Keller on Working with Elon Muskゲスト Jim Keller · ホスト 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.モデルと学習Autonomous DrivingAutonomous Systems+3
54:33EN
Lex Fridmanポッドキャスト · 2 人Vision or Lidar, Human or Machine: Lex Fridman's 2019 Map of the Self-Driving Raceゲスト Self-Driving Cars · ホスト 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
58:46EN
Lex FridmanポッドキャストCaging the Neural Network: How Aptiv Thinks About Safe Self-Drivingホスト 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.モデルと学習Autonomous DrivingDeep Learning+3
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