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110 件
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1:13:26EN
20VC with Harry Stebbings· 2026年10月24日ポッドキャスト · 2 人Naveen Rao on Energy, AI Hardware, Verification and the Future of Roboticsゲスト Naveen Rao · ホスト 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· 2026年10月21日ポッドキャスト · 2 人David Qian on Succession, Robotics, and Finding His Own Ambitionゲスト David Qian (Qian Cheng) · ホスト 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.企業と戦略LeadershipCompany Building+2
37:14EN
The Builders· 2026年10月20日Elon Musk on AI Control, Robot Abundance, and His Regrets About DOGEゲスト Elon Musk · ホスト 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(汎用人工知能)+2
2:51:18EN
Zhang Xiaojun Podcast· 2026年10月15日ポッドキャスト · 2 人Lindon Gao on Building Dyna Robotics and Finding a Path Through the Fogゲスト Lindon Gao · ホスト 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 Strategyモデルと学習+2
1:17:09EN
20VC with Harry Stebbings· 2026年10月15日ポッドキャスト · 3 人20VC on Pro Rata Rights, AI Pricing and the Changing Software Marketゲスト Jason Lemkin, Rory O’Driscoll · ホスト 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"· 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.エージェントRoboticsMultimodal AI+3
37:07EN
No Priors: AI, Machine Learning, Tech, & Startups· 2026年9月3日ポッドキャスト · 2 人Arm’s 98.5% margin business just started shipping chipsホスト 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.インフラとデプロイCompany BuildingAI Strategy+3
3:36:13EN
Zhang Xiaojun Podcast· 2026年8月13日ポッドキャスト · 2 人NVIDIA’s Ming-Yu Liu on Cosmos, Physical AI, and Creating New Marketsゲスト Ming-Yu Liu · ホスト 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· 2026年7月23日ポッドキャスト · 2 人Half of Ask DoorDash Orders Hit a New Restaurant. In Ten Years There Will Be More Dashers, Not Fewer.ホスト 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.企業と戦略RoboticsProduct Strategy+3
3:46:12EN
Zhang Xiaojun Podcast· 2026年7月16日ポッドキャスト · 2 人Kay Ke on Physical Intelligence, Robot Learning, and the Future of Roboticsゲスト Kay Ke · ホスト 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· 2026年7月7日ポッドキャストThe 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.インフラとデプロイRoboticsAutonomous Systems+3
1:28:10EN
20VC with Harry Stebbings· 2026年6月18日ポッドキャスト · 3 人20VC Roundtable: AI Policy, Software Valuations and Roboticsゲスト Rory O’Driscoll, Everett Randle · ホスト Harry StebbingsHarry Stebbings, Rory O’Driscoll and Everett Randle debate reported AI restrictions, enterprise software competition and the practical challenges of robotics.AI RegulationVenture Capitalエンタープライズ AI+2
38:01EN
No Priors: AI, Machine Learning, Tech, & Startups· 2026年5月14日ポッドキャスト · 2 人The Philippines Gifted America 4,000 Acres. Pax Silica Wants to Make the AI Supply Chain a Businessホスト 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.企業と戦略AI Strategyインフラとデプロイ+3
29:26EN
No Priors: AI, Machine Learning, Tech, & Startups· 2026年4月3日ポッドキャスト · 2 人ChatGPT Almost Became a Meeting Bot. Its Co-Creator Is Now Rearranging Atomsホスト 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.企業と戦略AI for scienceCompany Building+3
58:27EN
Sequoia Capital· 2026年3月24日ポッドキャストEven 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.エージェントAI for scienceエージェント工学+3
40:56EN
Sequoia Capital· 2026年3月10日ポッドキャストFour 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.インフラとデプロイData quality & curationオブザーバビリティと信頼性+3
スライド1:36EN
MBMatthew Berman· 2026年1月11日Why 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· 2026年1月8日ポッドキャスト · 2 人Jensen Huang’s Year-End Case That Token Costs Can Fall a Billion-Fold Without Killing Jobsホスト 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.企業と戦略Reasoning & test-time computeAI cost & performance+3
1:01:38EN
Sequoia Capital· 2026年1月6日ポッドキャスト13-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.モデルと学習RoboticsReinforcement Learning+3
40:46EN
No Priors: AI, Machine Learning, Tech, & Startups· 2025年12月19日ポッドキャスト · 2 人Doctors Are Rushing to AI. Robotics Will Take a Beating First.ホスト 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.企業と戦略AI StrategyAI startups & small teams+3
39:16EN
No Priors: AI, Machine Learning, Tech, & Startups· 2025年11月19日ポッドキャスト · 2 人500 Gloves, 10 Million Trajectories, and a $10,000 Home Robotホスト 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· 2025年9月9日ポッドキャストA $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.オープンソースとコミュニティRoboticsOpen-source ecosystems+2
1:55:02EN
Cognitive 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.エージェントAI for scienceAutonomous Systems+3
48:51EN
Sequoia Capital· 2025年6月17日ポッドキャストThe 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.モデルと学習Reasoning & test-time computePretraining & midtraining+3
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