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1:30:54EN
Cognitive Revolution "How AI Changes Everything"· 3 oct 2026PódcastHumanoids Outran Usain Bolt. DeepMind Still Scores Robotics as GPT-2Presenta: 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"· 30 ago 2025PódcastA hundred experiments a day, and the valley of death in materialsPresenta: 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· 18 dic 2024Pódcasto1 Is a New Generation — and the Day AGI Arrives Will Feel BoringPresenta: 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"· 7 ago 2024PódcastWaymo's Injury Rate Is Five Times Lower. It Still Loses to a Lyft.Presenta: 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"· 11 jul 2024PódcastScooping Food Into Boxes Is 70 Percent of Plant LaborPresenta: 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"· 4 jul 2023PódcastThirty thousand voltage updates a second: inside Skydio’s autonomy stackPresenta: 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"· 9 may 2023PódcastThe $300 million Gates refused, and the $10 billion that went to OpenAIPresenta: 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"· 30 mar 2023Pódcast130,000 Teleop Demos: Google's GPT Playbook for RobotsPresenta: 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· 6 dic 2017PódcastThe Race Car and the Rulebook: Chris Gerdes on Automated Vehicle SafetyPresenta: 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 FridmanPódcastCaging the Neural Network: How Aptiv Thinks About Safe Self-DrivingPresenta: 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"PódcastFrom GPT-2 to GPT-3 Moments in Robotics: Six DeepMind Papers on Bridging Robots and the InternetPresenta: 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 FridmanPódcastCars That Drive Empty: Emilio Frazzoli on Why Self-Driving Needs Rules, Not Just DataPresenta: 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 EffronPódcastThe Robot That Folded the Laundry: Physical Intelligence’s Three FrontiersPresenta: 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 PodcastPódcastIntelligence for Heavy Machines: Qasar Younis on Why Physical AI Will Change Farms, Mines and Roads FirstPresenta: 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 FridmanPódcastHuman-Centered or Fully Autonomous? Lex Fridman's Case for Collaboration Between Driver and MachinePresenta: 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 FridmanPódcastData Movement, Not Math: How to Make Deep Learning Fit on Robots and PhonesPresenta: 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 FridmanPódcastTaming the Long Tail: How Waymo Builds a Self-Driving FactoryPresenta: 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 FridmanPódcastPolicy Gradients vs. Q-Learning: John Schulman's Field Guide to Deep Reinforcement LearningPresenta: 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 FridmanPódcastThe Second 90%: What It Really Takes to Put Deep Learning on a Driverless CarPresenta: 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 FridmanPódcastFrom Intelligent Copilots to Aurora: Sterling Anderson on Shared Control and Building a Self-Driving CompanyPresenta: 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 PodcastPódcastAfter the Keyboard: Why Physical AI Is the Next Frontier, According to a Veteran Hardware LeaderPresenta: 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 EffronPódcastThe Long Tail, the World Model, and the 1995 Problem: Inside Waymo's Scaling Phase and Robotics' Missing MomentPresenta: 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 PodcastPódcastFei-Fei Li on ImageNet, World Models and Why Everyone Has a Role in AIPresenta: 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"PódcastRobotics Hits Its GPT-3.5 Moment: Inside Gemini Robotics, From Embodied Reasoning to OrigamiPresenta: 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.Cargar másMostrando 24 de 26