絞り込み結果
26 件並び順
1:30:54EN
Cognitive Revolution "How AI Changes Everything"· 2026年10月3日ポッドキャストHumanoids Outran Usain Bolt. DeepMind Still Scores Robotics as GPT-2ホスト Nathan LabenzGoogle DeepMind's Gemini Robotics lead on why sprinting is easy, frying an egg is hard, and one brain should drive any body.
1:55:02ENCognitive Revolution "How AI Changes Everything"· 2025年8月30日ポッドキャストA hundred experiments a day, and the valley of death in materialsホスト Nathan LabenzRadical AI’s co-founders tell Nathan Labenz how a closed loop of frontier models and a self-driving lab is meant to collapse a forty-year materials cycle into less than a decade.
1:07:32EN
Unsupervised Learning: With Jacob Effron· 2024年12月18日ポッドキャストo1 Is a New Generation — and the Day AGI Arrives Will Feel Boringホスト Jacob EffronOpenAI’s former chief research officer Bob McGrew on why o1 is a 100x leap, why agents stall on reliability, and why AGI may land as office tedium rather than a single dramatic moment.
1:50:08ENCognitive Revolution "How AI Changes Everything"· 2024年8月7日ポッドキャストWaymo's Injury Rate Is Five Times Lower. It Still Loses to a Lyft.ホスト Nathan LabenzHuman drivers average one fatal crash per 100 million miles — and that bar still defines the self-driving debate.
1:16:11ENCognitive Revolution "How AI Changes Everything"· 2024年7月11日ポッドキャストScooping Food Into Boxes Is 70 Percent of Plant Laborホスト Nathan LabenzChef Robotics CEO Rajat Bhageria on 20 million plated meals, a foundation model for food, and why the kitchen may leave the house.
1:40:07ENCognitive Revolution "How AI Changes Everything"· 2023年7月4日ポッドキャストThirty thousand voltage updates a second: inside Skydio’s autonomy stackホスト Nathan LabenzHayk Martiros walks Nathan Labenz through a two-pound drone that sees in every direction, runs more than ten neural nets on board, and will not be weaponized.
1:01:17ENCognitive Revolution "How AI Changes Everything"· 2023年5月9日ポッドキャストThe $300 million Gates refused, and the $10 billion that went to OpenAIホスト Nathan LabenzRobert Scoble and Ben Tossell talk with Nathan Labenz about AI scouting, Apple's still-sleeping neural engines, and whether incumbents or AI-first startups will win.
1:29:31ENCognitive Revolution "How AI Changes Everything"· 2023年3月30日ポッドキャスト130,000 Teleop Demos: Google's GPT Playbook for Robotsホスト Nathan LabenzKeerthana Gopalakrishnan of Google Robotics tells Nathan Labenz how RT-1, SayCan, and PaLM-E turn language-model scaling into kitchen-ready mobile manipulators.
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.
58:46ENLex 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.
1:23:18ENCognitive Revolution "How AI Changes Everything"ポッドキャストFrom GPT-2 to GPT-3 Moments in Robotics: Six DeepMind Papers on Bridging Robots and the Internetホスト 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.
1:07:22ENLex FridmanポッドキャストCars That Drive Empty: Emilio Frazzoli on Why Self-Driving Needs Rules, Not Just Dataホスト 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.
1:10:19ENUnsupervised Learning: With Jacob EffronポッドキャストThe Robot That Folded the Laundry: Physical Intelligence’s Three Frontiersホスト 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.
1:24:24EN
Lenny's PodcastポッドキャストIntelligence for Heavy Machines: Qasar Younis on Why Physical AI Will Change Farms, Mines and Roads Firstホスト 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 FridmanポッドキャストHuman-Centered or Fully Autonomous? Lex Fridman's Case for Collaboration Between Driver and Machineホスト 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 FridmanポッドキャストData Movement, Not Math: How to Make Deep Learning Fit on Robots and Phonesホスト 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 FridmanポッドキャストTaming the Long Tail: How Waymo Builds a Self-Driving Factoryホスト 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 FridmanポッドキャストPolicy Gradients vs. Q-Learning: John Schulman's Field Guide to Deep Reinforcement Learningホスト 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.
1:13:22ENLex FridmanポッドキャストThe Second 90%: What It Really Takes to Put Deep Learning on a Driverless Carホスト 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.
37:18ENLex FridmanポッドキャストFrom Intelligent Copilots to Aurora: Sterling Anderson on Shared Control and Building a Self-Driving Companyホスト 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 PodcastポッドキャストAfter the Keyboard: Why Physical AI Is the Next Frontier, According to a Veteran Hardware Leaderホスト 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 EffronポッドキャストThe Long Tail, the World Model, and the 1995 Problem: Inside Waymo's Scaling Phase and Robotics' Missing Momentホスト 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.
1:19:34ENLenny's PodcastポッドキャストFei-Fei Li on ImageNet, World Models and Why Everyone Has a Role in AIホスト Lenny RachitskyThe scientist often called the godmother of AI traces how big data sparked deep learning, explains why spatial intelligence is the next frontier, and shows what World Labs' first product, Marble, can do.
1:48:13ENCognitive Revolution "How AI Changes Everything"ポッドキャストRobotics Hits Its GPT-3.5 Moment: Inside Gemini Robotics, From Embodied Reasoning to Origamiホスト Nathan LabenzGoogle DeepMind researchers Keerthana Gopalakrishnan and Ted Xiao explain how Gemini Robotics works, what it can and cannot do, and where the field goes next.もっと見る26 件中 24 件を表示