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1:13:26EN
20VC with Harry Stebbings· 2026년 10월 24일팟캐스트 · 2명Naveen Rao on Energy, AI Hardware, Verification and the Future of Robotics게스트 Naveen Rao · 진행자 Harry StebbingsThe Unconventional AI founder argues that energy efficiency will shape AI hardware, while the growing volume of model output makes verification more valuable.EnergySemiconductorsInference+2
1:59:52EN
Zhang Xiaojun Podcast· 2026년 10월 21일팟캐스트 · 2명David Qian on Succession, Robotics, and Finding His Own Ambition게스트 David Qian (Qian Cheng) · 진행자 张小珺Ecovacs CEO David Qian reflects on inheriting a founder-built company, learning to lead through mistakes, and choosing a patient path in robotics. His account treats succession as an ongoing effort to build the company for a new era, not a finish line.기업과 전략LeadershipCompany Building+2
37:14EN
The Builders· 2026년 10월 20일Elon Musk on AI Control, Robot Abundance, and His Regrets About DOGE게스트 Elon Musk · 진행자 Walter IsaacsonWalter Isaacson asks Elon Musk how humanity can remain safe and find purpose as AI grows more capable, and challenges him on politics, empathy, and the future he is building.AI SafetyRoboticsAGI(범용 인공지능)+2
2:51:18EN
Zhang Xiaojun Podcast· 2026년 10월 15일팟캐스트 · 2명Lindon Gao on Building Dyna Robotics and Finding a Path Through the Fog게스트 Lindon Gao · 진행자 张小珺Dyna Robotics CEO Lindon Gao explains why his company builds intelligence through real workflows, how hardware and research must evolve together, and how a founder can find clarity by letting go of the need to be right.RoboticsProduct Strategy모델과 학습+2
1:17:09EN
20VC with Harry Stebbings· 2026년 10월 15일팟캐스트 · 3명20VC on Pro Rata Rights, AI Pricing and the Changing Software Market게스트 Jason Lemkin, Rory O’Driscoll · 진행자 Harry StebbingsHarry Stebbings, Jason Lemkin and Rory O’Driscoll debate investor rights, model economics and the choices facing software companies and their employees.Venture CapitalAI cost & performanceRobotics+2
1:30:54EN
Cognitive Revolution "How AI Changes Everything"· 2026년 10월 3일팟캐스트Humanoids Outran Usain Bolt. DeepMind Still Scores Robotics as GPT-2진행자 Nathan LabenzGoogle DeepMind's Gemini Robotics lead on why sprinting is easy, frying an egg is hard, and one brain should drive any body.에이전트RoboticsMultimodal AI+3
37:07EN
No Priors: AI, Machine Learning, Tech, & Startups· 2026년 9월 3일팟캐스트 · 2명Arm’s 98.5% margin business just started shipping chips진행자 Sarah Guo, Elad GilCEO Rene Haas tells No Priors why the IP company built a physical CPU for Meta, and why CPUs still sit at the center of AI systems.인프라와 배포Company BuildingAI Strategy+3
3:36:13EN
Zhang Xiaojun Podcast· 2026년 8월 13일팟캐스트 · 2명NVIDIA’s Ming-Yu Liu on Cosmos, Physical AI, and Creating New Markets게스트 Ming-Yu Liu · 진행자 张小珺NVIDIA research VP Ming-Yu Liu explains how a decade of generative-model research led to Cosmos 3, a world foundation model for Physical AI. He also shares what he learned from Jensen Huang about long-term bets, teamwork, and building markets instead of fighting over existing ones.World modelsRoboticsAI research+2
49:20EN
No Priors: AI, Machine Learning, Tech, & Startups· 2026년 7월 23일팟캐스트 · 2명Half 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.기업과 전략RoboticsProduct Strategy+3
3:46:12EN
Zhang Xiaojun Podcast· 2026년 7월 16일팟캐스트 · 2명Kay Ke on Physical Intelligence, Robot Learning, and the Future of Robotics게스트 Kay Ke · 진행자 张小珺Physical Intelligence researcher Kay Ke traces the field's research lineages and explains Pi's progression from π₀ to π*₀.₆. She also reflects on education, fiction, ambition, and what it means to build robots that work beyond a demo.RoboticsReinforcement LearningAI research+2
55:19EN
Sequoia Capital· 2026년 7월 7일팟캐스트The 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.인프라와 배포RoboticsAutonomous Systems+3
1:28:10EN
20VC with Harry Stebbings· 2026년 6월 18일팟캐스트 · 3명20VC Roundtable: AI Policy, Software Valuations and Robotics게스트 Rory O’Driscoll, Everett Randle · 진행자 Harry StebbingsHarry Stebbings, Rory O’Driscoll and Everett Randle debate reported AI restrictions, enterprise software competition and the practical challenges of robotics.AI RegulationVenture Capital엔터프라이즈 AI+2
38:01EN
No Priors: AI, Machine Learning, Tech, & Startups· 2026년 5월 14일팟캐스트 · 2명The Philippines Gifted America 4,000 Acres. Pax Silica Wants to Make the AI Supply Chain a Business진행자 Sarah Guo, Elad GilUS Under Secretary Jacob Helberg on a 14-country coalition, a diplomatic industrial zone in the Philippines, and why Washington is putting companies—not ministries—in the driver's seat.기업과 전략AI Strategy인프라와 배포+3
29:26EN
No Priors: AI, Machine Learning, Tech, & Startups· 2026년 4월 3일팟캐스트 · 2명ChatGPT Almost Became a Meeting Bot. Its Co-Creator Is Now Rearranging Atoms진행자 Sarah Guo, Elad GilLiam Fedus tells No Priors how Periodic Labs is connecting language models to experiments so materials science can run in a closed loop.기업과 전략AI for scienceCompany Building+3
58:27EN
Sequoia Capital· 2026년 3월 24일팟캐스트Even 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.에이전트AI for science에이전트 엔지니어링+3
40:56EN
Sequoia Capital· 2026년 3월 10일팟캐스트Four of the Top Five Defense Primes Still Run Hardware Tests on PowerPointNominal’s cofounders argue that hardware never got the last twenty years of software infrastructure, and that physical AI will stall until test data lives in one place.인프라와 배포Data quality & curation관측 가능성과 안정성+3
슬라이드1:36EN
MBMatthew Berman· 2026년 1월 11일Why Humanoid Robots Can Move Beyond Human LimitsMatthew Berman · Forward FutureMatthew Berman explains why joints that rotate beyond human ranges could help robots work in factories.RoboticsFuture of Work
1:16:21EN
No Priors: AI, Machine Learning, Tech, & Startups· 2026년 1월 8일팟캐스트 · 2명Jensen Huang’s Year-End Case That Token Costs Can Fall a Billion-Fold Without Killing Jobs진행자 Sarah Guo, Elad GilOn No Priors, NVIDIA’s CEO uses radiology, open source, and a $2 trillion R&D budget to argue that 2025’s extremes missed the stack.기업과 전략Reasoning & test-time computeAI cost & performance+3
1:01:38EN
Sequoia Capital· 2026년 1월 6일팟캐스트13-Hour Coffee and 2x Throughput: Physical Intelligence Crosses the Deployment LineKarol Hausman and Tobi Springenberg tell Sequoia’s Training Data how a general robot brain, plus real-world RL, turned coffee, laundry, and chocolate boxes into jobs that actually run.모델과 학습RoboticsReinforcement Learning+3
40:46EN
No Priors: AI, Machine Learning, Tech, & Startups· 2025년 12월 19일팟캐스트 · 2명Doctors Are Rushing to AI. Robotics Will Take a Beating First.진행자 Sarah Guo, Elad GilSarah Guo and Elad Gil’s 2026 forecast for foundation models, IPOs, robotics, consumer agents, and the bets that are not about AI at all.기업과 전략AI StrategyAI startups & small teams+3
39:16EN
No Priors: AI, Machine Learning, Tech, & Startups· 2025년 11월 19일팟캐스트 · 2명500 Gloves, 10 Million Trajectories, and a $10,000 Home Robot진행자 Sarah Guo, Elad GilSunday Robotics co-founders Tony Zhao and Cheng Chi map the gap between a scalable imitation-learning recipe and a machine that actually does the dishes.RoboticsData quality & curationScaling Laws+3
43:09EN
Sequoia Capital· 2025년 9월 9일팟캐스트A $100 Arm and a $300 Robot: Hugging Face Wants an App Store for Physical AIThomas Wolf tells Sequoia's Training Data why LeRobot, cheap hardware, and open datasets are Hugging Face's bet that software developers can become roboticists.오픈소스와 커뮤니티RoboticsOpen-source ecosystems+2
1:55:02EN
Cognitive Revolution "How AI Changes Everything"· 2025년 8월 30일팟캐스트A 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.에이전트AI for scienceAutonomous Systems+3
48:51EN
Sequoia Capital· 2025년 6월 17일팟캐스트The Breakthroughs for AGI Are Already Done, Says OpenAI’s Former Research HeadBob McGrew tells Sequoia’s Training Data that 2025 is the year of reasoning, agents will be priced at the cost of compute, and nothing fundamental will be added to the stack by 2035.모델과 학습Reasoning & test-time computePretraining & midtraining+3
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