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1:13:26EN
20VC with Harry Stebbings· 24 oct 2026Pódcast · 2 vocesNaveen Rao on Energy, AI Hardware, Verification and the Future of RoboticsInvitado: Naveen Rao · Presenta: Harry StebbingsThe Unconventional AI founder argues that energy efficiency will shape AI hardware, while the growing volume of model output makes verification more valuable.
1:59:52EN
Zhang Xiaojun Podcast· 21 oct 2026Pódcast · 2 vocesDavid Qian on Succession, Robotics, and Finding His Own AmbitionInvitado: David Qian (Qian Cheng) · Presenta: 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.
2:51:18ENZhang Xiaojun Podcast· 15 oct 2026Pódcast · 2 vocesLindon Gao on Building Dyna Robotics and Finding a Path Through the FogInvitado: Lindon Gao · Presenta: 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.
1:17:09EN20VC with Harry Stebbings· 15 oct 2026Pódcast · 3 voces20VC on Pro Rata Rights, AI Pricing and the Changing Software MarketInvitado: Jason Lemkin, Rory O’Driscoll · Presenta: Harry StebbingsHarry Stebbings, Jason Lemkin and Rory O’Driscoll debate investor rights, model economics and the choices facing software companies and their employees.
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.
37:07EN
No Priors: AI, Machine Learning, Tech, & Startups· 3 sept 2026Pódcast · 2 vocesArm’s 98.5% margin business just started shipping chipsPresenta: 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.
3:36:13ENZhang Xiaojun Podcast· 13 ago 2026Pódcast · 2 vocesNVIDIA’s Ming-Yu Liu on Cosmos, Physical AI, and Creating New MarketsInvitado: Ming-Yu Liu · Presenta: 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.
49:20ENNo Priors: AI, Machine Learning, Tech, & Startups· 23 jul 2026Pódcast · 2 vocesHalf of Ask DoorDash Orders Hit a New Restaurant. In Ten Years There Will Be More Dashers, Not Fewer.Presenta: 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.
55:19EN
Sequoia Capital· 7 jul 2026PódcastThe 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.
38:01ENNo Priors: AI, Machine Learning, Tech, & Startups· 14 may 2026Pódcast · 2 vocesThe Philippines Gifted America 4,000 Acres. Pax Silica Wants to Make the AI Supply Chain a BusinessPresenta: 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.
29:26ENNo Priors: AI, Machine Learning, Tech, & Startups· 3 abr 2026Pódcast · 2 vocesChatGPT Almost Became a Meeting Bot. Its Co-Creator Is Now Rearranging AtomsPresenta: 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.
58:27ENSequoia Capital· 24 mar 2026PódcastEven 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.
40:56ENSequoia Capital· 10 mar 2026PódcastFour 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.
1:16:21ENNo Priors: AI, Machine Learning, Tech, & Startups· 8 ene 2026Pódcast · 2 vocesJensen Huang’s Year-End Case That Token Costs Can Fall a Billion-Fold Without Killing JobsPresenta: 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.
1:01:38ENSequoia Capital· 6 ene 2026Pódcast13-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.
40:46ENNo Priors: AI, Machine Learning, Tech, & Startups· 19 dic 2025Pódcast · 2 vocesDoctors Are Rushing to AI. Robotics Will Take a Beating First.Presenta: 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.
2:06:16ZHZhang Xiaojun Podcast· 28 nov 2025Pódcast · 2 voces谭捷：机器人通用智能的瓶颈在数据，通用形态仍需时间Invitado: 谭捷 · Presenta: 张小珺Google DeepMind 机器人研究科学家谭捷回顾了从计算机图形学到机器人、从强化学习到 Gemini Robotics 的研究路径。他认为机器人基础模型尚未成为独立学科，数据规模与覆盖度、跨本体迁移、实时推理和安全仍是走向真实应用的关键。
39:16ENNo Priors: AI, Machine Learning, Tech, & Startups· 19 nov 2025Pódcast · 2 voces500 Gloves, 10 Million Trajectories, and a $10,000 Home RobotPresenta: 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.
1:48:46ZHZhang Xiaojun Podcast· 18 nov 2025Pódcast · 2 voces刘先明：拆掉语言，让物理 AI 回到数据与动作Invitado: 刘先明 · Presenta: 张小珺小鹏自动驾驶中心负责人刘先明解释，为什么 VLA 训练中间的语言监督会成为效率瓶颈，以及他如何推动小鹏从自动驾驶团队转向物理 AI。访谈也谈到规模化数据、组织变革、量产安全与自动驾驶的下一阶段。
43:09ENSequoia Capital· 9 sept 2025PódcastA $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.
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.
48:51ENSequoia Capital· 17 jun 2025PódcastThe 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.
35:47ENNo Priors: AI, Machine Learning, Tech, & Startups· 5 jun 2025Pódcast · 2 vocesFei-Fei Li’s new bet: AI is incomplete without spatial intelligencePresenta: Sarah Guo, Elad GilThe ImageNet pioneer tells Sarah Guo and Elad Gil why World Labs is building 3D generative foundation models, and why language was only one piece of the puzzle.
2:29:41ZHZhang Xiaojun Podcast· 7 abr 2025Pódcast · 4 voces陈建宇：机器人基座模型如何走向通用 VLAInvitado: 陈建宇 · Presenta: 张小珺从 SayCan、RT-2 到 Diffusion Policy，清华助理教授、星动纪元创始人陈建宇梳理机器人模型从借用语言模型到端到端 VLA 的路线。关键难题仍是多样化数据、跨本体泛化和高频动作控制。Cargar másMostrando 24 de 108