필터 결과
28개정렬
49:20ENHalf of Ask DoorDash Orders Hit a New Restaurant. In Ten Years There Will Be More Dashers, Not Fewer.진행자 Sarah Guo, Elad GilCo-founders Andy Fang and Stanley Tang tell Sarah Guo how a conversational ordering interface moved DoorDash's hardest metric, why they built a 300-pound delivery robot in-house, and why autonomy means more human riders, not less.
55:19ENThe drone is 15% of Zipline: 140 million miles, zero incidentsKeller Rinaudo Cliffton and Eric Watson explain why the aircraft is the small part of an automated logistics system now cheaper than a car.
58:27ENEven a dumber AI can win science if it never leaves the labGinkgo Bioworks CEO Jason Kelly tells Sequoia why autonomous labs, not smarter models, will change how experimental science gets done.
1:55:02ENA hundred experiments a day, and the valley of death in materials진행자 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.
1:48:49EN$500, 2,000 Steps, and a Vending Machine: Grok 4 Profited, Claude Called the FBI진행자 Nathan LabenzAndon Labs put frontier models in charge of simulated and real vending machines to see what breaks when nobody is in the loop.
1:43:47ENYou Have to Run Before You Can Walk: Marc Raibert on Making Metal Look Alive게스트 Marc Raibert · 진행자 Lex FridmanThe Boston Dynamics founder tells Lex Fridman why aggressive hopping beat cautious walking, how 109 Atlas falls became a method, and why robots still need a second kind of intelligence.
1:50:57ENTwenty-Eight Days After GPT-4, an AI Designed and Ran a Chemistry Experiment진행자 Nathan LabenzGabe Gomes and his Carnegie Mellon students built Coscientist, a language-model agent that plans, codes, and executes real experiments on a remote cloud lab.
1:40:07ENThirty thousand voltage updates a second: inside Skydio’s autonomy stack진행자 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.
50:07ENCheap Volume Beats Gold-Plated Jets: Anduril’s Brian Schimpf on AI and Defense진행자 Sarah Guo, Elad GilThe Anduril CEO on Lattice, a school-bus-sized autonomous submarine, why Ukraine made fighter attrition unworkable, and how you actually sell a capability to the Pentagon.
2:27:58ENIt took Atlas fourteen years to walk the way Playter wanted게스트 Robert Playter · 진행자 Lex FridmanBoston Dynamics CEO Robert Playter traces thirty years from a MIT basement pogo stick to Atlas, Spot, and Stretch — and why the company still designs machines that are allowed to fall.
1:29:31EN130,000 Teleop Demos: Google's GPT Playbook for Robots진행자 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.
50:12ENThe Drone Is Only 15 Percent of the Problem진행자 Sarah Guo, Elad GilZipline CEO Keller Rinaudo Cliffton on why blood delivery in Rwanda, not a cooler airplane, built the world's largest commercial autonomous system.
2:32:00ENA Cube Inside a Sphere, Right Between Two Super Hornets게스트 Ryan Graves · 진행자 Lex FridmanFormer Navy F/A-18 pilot Ryan Graves tells Lex Fridman how unexplained objects filled East Coast training airspace after a radar upgrade, and why a near-collision made it a safety problem the system still cannot process.
1:46:49ENAriel Ekblaw on Self-Assembling Habitats and Why the Real Space Cities Will Float게스트 Ariel Ekblaw · 진행자 Lex FridmanThe MIT Space Exploration Initiative director talks swarm tiles, lunar ants, and why Mars is a research station rather than a backup Earth.
2:24:52ENJudge a robot by the environment it forces to change, not by the demo게스트 Rodney Brooks · 진행자 Lex FridmanRodney Brooks tells Lex Fridman why faces are promises, why computation is an overworked metaphor, and why robot companies die on price, expectation, and habit.
2:23:10ENBuilding 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.
2:48:46ENLet Physics Walk: Russ Tedrake on Underactuated Robots, Contact, and Barefoot Commutes게스트 Russ Tedrake · 진행자 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.
1:22:51ENDensity, 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.
1:39:57ENPeople Say They Want Perfect Robots. They Trust the Ones That Push Back게스트 Ayanna Howard · 진행자 Lex FridmanAyanna Howard on human-robot interaction, the ethics of safety-critical code, and why a little imperfection is what actually earns trust.
39:33ENMars is not Plan B: Dava Newman on spacesuits, autonomy, and Spaceship Earth게스트 Dava Newman · 진행자 Lex FridmanThe MIT Apollo professor and former NASA deputy administrator on Magellan’s crew, mechanical counterpressure, and why the next decade belongs to Earth.
56:47ENWhy 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.
1:13:06ENLockheed Martin's CTO on Autonomy, the Moon, and the Culture of Not Getting It Wrong게스트 Keoki Jackson · 진행자 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.
1:01:24ENLeslie Kaelbling: You Buy the Ticket Before You Can Plan the Airport게스트 Leslie Kaelbling · 진행자 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.
24:22ENCraftsmanship, 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.
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