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175 件
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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
2:48:46EN
Lex Fridman· 2020年8月9日ポッドキャスト · 2 人Let Physics Walk: Russ Tedrake on Underactuated Robots, Contact, and Barefoot Commutesゲスト Russ Tedrake · ホスト Lex FridmanMIT’s Russ Tedrake talks with Lex Fridman about gravity-powered walkers, a dead trout that swims upstream, why contact still breaks classical control, and what the DARPA Robotics Challenge taught him about testing.RoboticsFirst PrinciplesOpen-source ecosystems+3
1:37:31EN
Lex Fridman· 2020年7月14日ポッドキャスト · 2 人The Robot That Brought the Beer Was Being Teleoperatedゲスト Sergey Levine · ホスト Lex FridmanSergey Levine tells Lex Fridman why hardware is almost closed, why common sense has to be lived, and why offline reinforcement learning is the missing on-ramp from logs to robots that keep getting better.モデルと学習RoboticsReinforcement Learning+3
4:08:58EN
Lex Fridman· 2020年6月22日ポッドキャスト · 2 人The Man Who Named AGI Wants Superintelligence Raised on Compassionゲスト Ben Goertzel · ホスト Lex FridmanLex Fridman talks with Ben Goertzel for four hours about OpenCog, Sophia, SingularityNET, and why a bigger neural net is not a mind.エージェントAGI(汎用人工知能)AI research+3
1:12:36EN
Lex Fridman· 2020年6月5日ポッドキャスト · 2 人Kate Darling on Why We Name the Roomba and Mourn the Bomb Robotゲスト Kate Darling · ホスト Lex FridmanAn MIT Media Lab researcher argues that our feelings about machines track the history of animal domestication — and that design can steer that instinct for better or worse.エージェント安全性とガバナンスRobotics+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
1:29:10EN
Lex Fridman· 2020年2月20日ポッドキャスト · 2 人Andrew Ng: The Hardest Part of AI Is Rarely the Algorithmゲスト Andrew Ng · ホスト Lex FridmanIn a conversation with Lex Fridman, Ng traces a path from late-night Coursera recordings to factory floors, arguing that messy data, habits, and starting small matter more than hype.企業と戦略Deep LearningScaling Laws+3
1:39:57EN
Lex Fridman· 2020年1月17日ポッドキャスト · 2 人People Say They Want Perfect Robots. They Trust the Ones That Push Backゲスト Ayanna Howard · ホスト Lex FridmanAyanna Howard on human-robot interaction, the ethics of safety-critical code, and why a little imperfection is what actually earns trust.セキュリティと安全性安全性とガバナンスRobotics+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
1:16:58EN
Lex Fridman· 2019年12月5日ポッドキャスト · 2 人Fear of Robots Is a Champagne Problem, Says Whitney Cummingsゲスト Whitney Cummings · ホスト Lex FridmanThe comedian talks with Lex Fridman about Bear Claw, sex robots, factory farms, codependency, and terror management.RoboticsHuman-AI Collaboration安全性とガバナンス+3
39:33EN
Lex Fridman· 2019年11月22日ポッドキャスト · 2 人Mars is not Plan B: Dava Newman on spacesuits, autonomy, and Spaceship Earthゲスト Dava Newman · ホスト Lex FridmanThe MIT Apollo professor and former NASA deputy administrator on Magellan’s crew, mechanical counterpressure, and why the next decade belongs to Earth.AstrobiologyRoboticsAutonomous Systems+1
37:38EN
Lex Fridman· 2019年9月19日ポッドキャスト · 2 人The Best-Selling Vacuum in America Is a Robotゲスト Colin Angle · ホスト Lex FridmaniRobot CEO Colin Angle on why most robotics companies die, why a Roomba is costed by weight, and why printing privacy promises on the box would hurt sales.企業と戦略RoboticsProduct Strategy+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
1:13:06EN
Lex Fridman· 2019年8月19日ポッドキャスト · 2 人Lockheed Martin's CTO on Autonomy, the Moon, and the Culture of Not Getting It Wrongゲスト Keoki Jackson · ホスト 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.セキュリティと安全性安全性とガバナンス人による検証(HITL)+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
1:01:24EN
Lex Fridman· 2019年3月12日ポッドキャスト · 2 人Leslie Kaelbling: You Buy the Ticket Before You Can Plan the Airportゲスト Leslie Kaelbling · ホスト 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.エージェントReinforcement LearningRobotics+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
42:45EN
Lex Fridman· 2018年12月16日ポッドキャスト · 2 人A one-legged robot learned a backflip from "this is better"ゲスト Pieter Abbeel · ホスト 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.モデルと学習Reinforcement LearningRobotics+2
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
11:11EN
Lex Fridmanポッドキャスト · 2 人Yann LeCun on Benchmarks, Interactive Environments, and Why Human Intelligence Is Not Generalゲスト Yann Lecun · ホスト 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.モデルと学習BenchmarksAGI(汎用人工知能)+3
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