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39:16EN500 Gloves, 10 Million Trajectories, and a $10,000 Home RobotHost 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.
1:48:46ZH → EnglishLiu Xianming: Removing Language to Bring Physical AI Back to Data and ActionGuest 刘先明 · Host 张小珺Liu Xianming, head of autonomous driving at XPeng, explains why language supervision in VLA training can become an efficiency bottleneck and how he is helping XPeng shift from an autonomous-driving team to a physical AI company. The conversation also covers scaling data, organizational change, production safety, and what comes next for autonomous driving.
17:06ENAI News: 1X Neo, Extropic’s TSU, MiniMax M2 and Cursor 2Matthew Berman, Matt Garman · Forward FutureMatthew Berman reviews home robotics, emerging compute hardware, model releases and Amazon job cuts in an October 2025 news roundup.
43:09ENA $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.
1:55:02ENA hundred experiments a day, and the valley of death in materialsHost 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.
2:57:07ZH → English余凯: From AI Research to a Decade Building 地平线Guest 余凯 · Host 张小珺地平线 founder 余凯 looks back on 30 years of research and entrepreneurship, from choosing a technology direction and focusing on cars to his predictions for AI.
48:51ENThe 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.
35:47ENFei-Fei Li’s new bet: AI is incomplete without spatial intelligenceHost 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.
0:50ENA Humanoid Robot Clip Raises Safety QuestionsMatthew Berman · Forward FutureMatthew Berman reacts to footage of a robot moving abruptly near people and considers what such behavior could mean for safety.
2:29:41ZH → EnglishChen Jianyu: How Robot Foundation Models Can Become General-Purpose VLA SystemsGuest 陈建宇 · Host 张小珺From SayCan and RT-2 to Diffusion Policy, Tsinghua assistant professor and Epoch Robotics founder Chen Jianyu traces the path from borrowing language models to end-to-end VLA. The hard problems remain diverse data, cross-embodiment generalization, and high-frequency action control.
35:14ENRobots Have No Wikipedia. Chelsea Finn Is Starting With Three Buildings.Host Sarah Guo, Elad GilPhysical Intelligence’s cofounder tells No Priors why a generalist robot model has to be trained across embodiments, why open-sourcing hardware is a bet against the problem going unsolved, and why humanoids are a little overrated.
38:14ENKyle Vogt Pitched 120 Investors for Cruise. He Will Not Sell the Home-Robot CompanyHost Sarah Guo, Elad GilThe Twitch and Cruise co-founder tells Sarah Guo and Elad Gil why Tesla won on business model, why chores should be automated, and why a tiny AI-era team is enough.
0:32ENFigure’s Humanoid Robots and Natural-Language InstructionsMatthew Berman · Forward FutureMatthew Berman comments on a 2025 Figure Robotics demonstration and the potential for household chores.
53:07ZH → EnglishZhang Yaqin on the AGI Roadmap: Information, Physical, and Biological IntelligenceGuest 张亚勤 · Host 张小珺Zhang Yaqin divides AGI’s development into information, physical, and biological intelligence. Information intelligence may approach human levels within five years, general-purpose robots may take about ten, and biological intelligence could expand human memory and health in twenty. He also discusses how large models can give autonomous vehicles and robots more data, common sense, and ability to act.
1:07:32ENo1 Is a New Generation — and the Day AGI Arrives Will Feel BoringHost 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.
0:40ENHow Might AI and Robots Change Jobs and Prices?Matthew Berman · Forward FutureMatthew Berman imagines automated production and asks what cheaper goods could mean for the job market.
12:16ENAI News in November 2024: Figure Robots, FLUX Tools and Quantum Error DetectionMatthew Berman · Forward FutureMatthew Berman surveys a week of announcements, from image-editing controls and long-context models to conversational agents and quantum computing.
44:30EN100,000 Rides a Week, Six Times Fewer Airbag Crashes: Waymo’s Co-CEO on Eighteen Years of Full AutonomyHost Sarah Guo, Elad GilDmitri Dolgov tells No Priors how a dozen Googlers, ten 100-mile routes, and a 2013 refusal to settle for driver assist became a rider-only service with an insurer-audited safety record.
19:25ENAI News in September 2024: Advanced Voice, Llama 3.2 and OrionMatthew Berman · Forward FutureMatthew Berman tests ChatGPT voice and reviews Meta’s models and AR prototype alongside a week of AI industry announcements.
49:14ENHumanoid robots fell from $1.5 million to $30,000. The GPT-3 moment is still a verbNvidia’s Jim Fan tells Sequoia how three kinds of data, a humanoid bet, and a System-1 motor-control model could unlock general-purpose robots.
11:35ENARK Invest’s $24 Trillion Humanoid Robot ScenarioMatthew Berman · Forward FutureMatthew Berman examines the assumptions behind ARK’s 2024 household and manufacturing robotics estimates.
44:16ENA perfect demo is ten years from a product you can pay forHost Sarah Guo, Elad GilAndrej Karpathy uses Waymo's decade-long gap, Tesla's software bet, and a new AI course to argue that autonomous intelligence will stall at product and globalization, not at the first impressive clip.
49:41ZH → EnglishFu Sheng: Large Models Are a Productivity Revolution, and Robots Have a New Window of OpportunityGuest 傅盛 · Host 张小珺Fu Sheng sees the heart of large models in their capacity for logic and reasoning. Their impact, he says, is closer to the steam engine than to another round of ordinary internet evolution. He also reflects on open models, service robots, and how entrepreneurs can face difficult periods.
1:50:08ENWaymo's Injury Rate Is Five Times Lower. It Still Loses to a Lyft.Host Nathan LabenzHuman drivers average one fatal crash per 100 million miles — and that bar still defines the self-driving debate.
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