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45개
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3:28:47EN
Lex Fridman· 2022년 10월 29일팟캐스트 · 2명Karpathy Calls Trained Neural Nets Complicated Alien Artifacts게스트 Andrej Karpathy · 진행자 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.모델과 학습AGI(범용 인공지능)Autonomous Driving+3
1:09:10EN
Lex Fridman· 2022년 4월 27일팟캐스트 · 2명The Same Snapdragon That Flies on Mars Powers a Galaxy Phone게스트 Cristiano Amon · 진행자 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.인프라와 배포SemiconductorsProduct Strategy+3
2:31:48EN
Lex Fridman· 2021년 12월 28일팟캐스트 · 2명A Car That Cannot Drive Itself Will Be About as Useful as a Horse게스트 Elon Musk · 진행자 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.보안과 안전Autonomous DrivingRobotics+3
3:14:14EN
Lex Fridman· 2021년 11월 16일팟캐스트 · 2명Four Joints, Eighty Thousand Pounds: Boris Sofman on Cozmo and Waymo게스트 Boris Sofman · 진행자 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.기업과 전략RoboticsAutonomous Driving+3
3:12:17EN
Lex Fridman· 2021년 11월 3일팟캐스트 · 2명You Better Already Have Everything You Ever Wanted게스트 Steve Viscelli · 진행자 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.기업과 전략Autonomous DrivingRobotics+1
2:23:10EN
Lex Fridman· 2020년 12월 20일팟캐스트 · 2명Building a Driver, Not a Copilot: Waymo CTO Dmitri Dolgov on Fully Driverless Cars게스트 Dmitri Dolgov · 진행자 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.기업과 전략Autonomous DrivingAutonomous Systems+3
1:44:47EN
Lex Fridman· 2020년 11월 25일팟캐스트 · 2명Erik Brynjolfsson on the Exponential Mismatch Remaking Work and Politics게스트 Erik Brynjolfsson · 진행자 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.기업과 전략AI Strategy엔터프라이즈 AI+3
3:12:55EN
Lex Fridman· 2020년 10월 21일팟캐스트 · 2명The IQ required to destroy the world drops by one point every year게스트 George Hotz · 진행자 Lex FridmanGeorge Hotz on Fermi's paradox, hacking the simulation, and teaching cars to drive with neural nets.에이전트Autonomous DrivingSimulation Hypothesis+3
1:41:37EN
Lex Fridman· 2020년 7월 21일팟캐스트 · 2명The Fallacy of the Successful First Step: Jitendra Malik on Why Seeing Still Isn't Solved게스트 Jitendra Malik · 진행자 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.모델과 학습비전과 영상Autonomous Driving+3
1:22:51EN
Lex Fridman· 2020년 5월 19일팟캐스트 · 2명Density, Not Demos: Sertac Karaman on Robots That Fly and Drive게스트 Sertac Karaman · 진행자 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· 2020년 3월 19일팟캐스트 · 2명Maybe people are rational under different assumptions게스트 Anca Dragan · 진행자 Lex FridmanAnca Dragan talks with Lex Fridman about inverse reinforcement learning, autonomous driving, and why a written reward is evidence rather than law.에이전트RoboticsReinforcement Learning+3
1:34:44EN
Lex Fridman· 2020년 2월 5일팟캐스트 · 2명Moore's Law Has Been About to Die for Forty Years게스트 Jim Keller · 진행자 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· 2020년 1월 14일팟캐스트 · 2명The SS Soldier Who Hugged a Jewish Boy, and the Systems That Still Fool Us게스트 Daniel Kahneman · 진행자 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.머신러닝 기초Deep LearningHuman-AI Collaboration+3
1:18:35EN
Lex Fridman· 2019년 12월 21일팟캐스트 · 2명The last job Sebastian Thrun wants is one he is already good at게스트 Sebastian Thrun · 진행자 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· 2019년 9월 8일팟캐스트 · 2명Why Vijay Kumar Refuses to Call Them Drones게스트 Vijay Kumar · 진행자 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· 2019년 8월 5일팟캐스트 · 2명Lane Centering Is the Only Self-Driving Feature That Already Helps게스트 George Hotz · 진행자 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.기업과 전략Autonomous DrivingRobotics+3
44:48EN
Lex Fridman· 2019년 7월 22일팟캐스트 · 2명Chris Urmson: The Path to Driverless Cars Splits Away From the One That Lets You Nap게스트 Chris Urmson · 진행자 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.에이전트Autonomous Driving안전과 거버넌스+3
32:45EN
Lex Fridman· 2019년 4월 12일팟캐스트 · 2명Elon Musk: Every Driver Input Is an Error Tesla Autopilot Must Eliminate게스트 Elon Musk · 진행자 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.보안과 안전Autonomous Driving사람 참여 검증(HITL)+3
55:24EN
Lex Fridman· 2019년 2월 7일팟캐스트 · 2명Kyle Vogt Built the Highway Kit, Then Scrapped It Before Selling a Single One게스트 Kyle Vogt · 진행자 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.기업과 전략Autonomous DrivingRobotics+3
1:26:21EN
Lex Fridman· 2018년 12월 9일팟캐스트 · 2명The Machine Should Never Treat Its Objective as Gospel게스트 Stuart Russell · 진행자 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.보안과 안전안전과 거버넌스Autonomous Driving+3
1:00:38EN
Lex Fridman· 2017년 12월 6일팟캐스트The Race Car and the Rulebook: Chris Gerdes on Automated Vehicle Safety진행자 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.보안과 안전Autonomous Driving안전과 거버넌스+3
24:22EN
Lex Fridman팟캐스트 · 2명Craftsmanship, First Principles and the Road to Self-Driving: Jim Keller on Working with Elon Musk게스트 Jim Keller · 진행자 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.모델과 학습Autonomous DrivingAutonomous Systems+3
54:33EN
Lex Fridman팟캐스트 · 2명Vision or Lidar, Human or Machine: Lex Fridman's 2019 Map of the Self-Driving Race게스트 Self-Driving Cars · 진행자 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 Fridman팟캐스트Caging the Neural Network: How Aptiv Thinks About Safe Self-Driving진행자 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.모델과 학습Autonomous DrivingDeep Learning+3
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