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35:39EN
No Priors: AI, Machine Learning, Tech, & Startups· 2026年10月2日播客 · 2 人对谈Compute Scaled a Millionfold. Bandwidth Only 40x. Fractile Wants to Fix That Ratio主持 Sarah Guo, Elad GilIn the summer of 2022, Walter Goodwin founded Fractile in London to build very fast inference chips for the world's largest models.基础设施与部署InferenceAI cost & performance+3
47:22EN
Sequoia Capital· 2026年8月4日播客From One in a Thousand to 15 Percent: Chai Discovery Treats Drug Design as a Scaling ProblemJoshua Meier and Matthew McPartlon tell Sequoia’s Training Data why antibody design is an engineering problem, not a bespoke science, and why they sell a molecular CAD suite instead of their own drugs.模型与训练AI for scienceScaling Laws+3
49:12EN
Sequoia Capital· 2026年7月29日播客The People Writing the Transformer’s Eulogy Want a Lab That Can Take Vacation Without Themo1’s reasoning lead and a Gemini pre-training lead argue the architecture, not more scale, is now the bottleneck — and that replacing it starts with automating kernel generation.模型与训练AI researchPretraining & midtraining+3
1:47:38EN
Cognitive Revolution "How AI Changes Everything"· 2026年7月4日播客19 Neurons Can Drive a Car. Liquid AI Wants Foundation Models on Every Chip主持 Nathan LabenzRamin Hasani traces liquid neural networks from a worm's 300-cell brain to a 600-megabyte model that will talk from inside a Mercedes, and explains why architecture search now beats architecture avengers.模型与训练Local inferenceScaling Laws+3
1:13:33EN
Unsupervised Learning: With Jacob Effron· 2026年6月3日播客A Trillion Tokens Later, the Concept Finally Lands: Łukasz Kaiser on What Transformers Still Miss主持 Jacob EffronThe Attention Is All You Need co-author tells Unsupervised Learning that transformers will probably keep winning — and that they still do not learn the way people do.模型与训练AI research编程智能体+3
2:25:58EN
Lex Fridman· 2026年3月23日播客 · 2 人对谈AGI Is Already Here. Building NVIDIA Is Not.嘉宾 Jensen Huang · 主持 Lex FridmanLex Fridman sits down with Jensen Huang for two and a half hours on extreme co-design, CUDA, four scaling laws, and why a $1 billion AI company is easier than a durable one.企业与战略Company BuildingAI Strategy+3
4:25:13EN
Lex Fridman· 2026年1月31日播客The Architecture Barely Changed. Data, Cost, and Open Weights Did.主持 Lex FridmanNathan Lambert and Sebastian Raschka walk Lex Fridman through a year in which training methods and datasets moved more than model design, and 2026 looks like a fight over inference cost, agents, and who owns truly open models.模型与训练Scaling LawsOpen-weight models+3
1:03:00EN
Unsupervised Learning: With Jacob Effron· 2026年1月29日播客A Model That Solves New Math Problems Every Week Still Isn't AGI主持 Jacob EffronFormer OpenAI research VP Jerry Tworek on why scaling still works, why models go hopeless when they fail, and why he left to chase continual learning.模型与训练Reinforcement LearningAGI Timelines+3
37:00EN
Sequoia Capital· 2026年1月14日播客The AlphaChip Team That Laid Out Four TPUs Now Wants Every Company to Be DesignlessAnna Goldie and Azalia Mirhoseini tell Sequoia how an RL floorplanner survived TPU-team anger, learned to draw donut-shaped macros, and became a bet that AI will design chips that then feed AI.基础设施与部署Reinforcement LearningAI startups & small teams+3
1:18:05EN
Unsupervised Learning: With Jacob Effron· 2025年12月18日播客The Real Bottleneck in AI Research Is Compute, Not Ideas主持 Jacob EffronAfter NeurIPS, Ari Morcos and Rob Toews sit down with Jacob Effron to argue about plateauing models, SSI’s secrecy, OpenAI’s cash burn, and a set of spicy 2026 bets.企业与战略AI StrategyScaling Laws+3
39:16EN
No Priors: AI, Machine Learning, Tech, & Startups· 2025年11月19日播客 · 2 人对谈500 Gloves, 10 Million Trajectories, and a $10,000 Home Robot主持 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
1:39:05EN
Cognitive Revolution "How AI Changes Everything"· 2025年10月29日播客The Summer GPT-5 Disappointed Does Not Mean AI Progress Has Stalled主持 Nathan LabenzNathan Labenz tells Erik Torenberg why the GPT-5 backlash mixed up product mishaps, naming chaos, and a real jump in capabilities.企业与战略Scaling LawsReasoning & test-time compute+3
41:32EN
Sequoia Capital· 2025年10月28日播客Moore's Law Is Slowing. Nvidia's CTO Still Wants 10× a YearMichael Kagan on why Nvidia's $7 billion Mellanox deal, not just more transistors, is how you turn a data center into one computer.基础设施与部署Distributed training & inferenceInference+2
1:02:05EN
Unsupervised Learning: With Jacob Effron· 2025年9月24日播客$100 Million Researchers and a $200 Billion xAI: An AI Roundtable Does the Math主持 Jacob EffronDatology’s Ari Morcos and Radical Ventures’ Rob Toews argue over whether models are plateauing, whether RL-environment startups will last, and why Google is the lab they would pick.企业与战略AI StrategyAI startups & small teams+3
2:12:04EN
Lex Fridman· 2025年6月5日播客 · 2 人对谈From a Five-Year Phone Queue to 480 Trillion Tokens a Month嘉宾 Sundar Pichai · 主持 Lex FridmanSundar Pichai talks with Lex Fridman about Chennai, the AI package, Search, Chrome, Waymo, and why he stayed calm when the headlines said Google was finished.企业与战略AI StrategyAGI Timelines+3
51:08EN
Unsupervised Learning: With Jacob Effron· 2025年4月15日播客The Transformer Co-Author Who Says Scaling Hit a Wall主持 Jacob EffronCohere CEO Aidan Gomez tells Redpoint that a $100 million model is still an amnesiac genius, and that enterprise AI money is concentrating in support, research, and the back office.企业与战略企业 AIAI Strategy+3
1:10:23EN
Unsupervised Learning: With Jacob Effron· 2025年3月17日播客A Million Tokens per Dollar: Why Noam Shazeer Thinks Inference Compute Is Still Untapped主持 Jacob EffronThe Transformer co-inventor and Gemini researcher Jack Rae walk through test-time compute, Ilya Sutskever's AGI critique, and a four-year-old who now lectures his teacher about lizards.模型与训练Reasoning & test-time computeScaling Laws+3
57:41EN
No Priors: AI, Machine Learning, Tech, & Startups· 2025年2月25日播客 · 2 人对谈A Hundred Million Cells, Four People, Three Days: Biology's ImageNet Moment主持 Sarah Guo, Elad GilVevo Therapeutics and the Arc Institute open-sourced Tahoe-100M and a 230-million-cell atlas in the same week — and argued that virtual cells, not just protein folders, are the next language model of biology.模型与训练AI for scienceData quality & curation+3
48:18EN
Unsupervised Learning: With Jacob Effron· 2024年12月6日播客Noam Brown: There's No Hard Wall—Just Eight Orders of Magnitude of Headroom主持 Jacob EffronA ChatGPT query costs about a penny. The problems society cares about most, he says, are worth a million dollars.模型与训练Reasoning & test-time compute通用人工智能+3
44:16EN
No Priors: AI, Machine Learning, Tech, & Startups· 2024年11月21日播客 · 2 人对谈Cohere's Aidan Gomez: The Model Curve Is Flattening, and $20 Million Now Buys GPT-4主持 Sarah Guo, Elad GilThe Attention Is All You Need co-author tells No Priors why enterprises should stop waiting for the next model and start putting today's models into production.企业与战略企业 AIAI Strategy+3
2:40:58EN
Cognitive Revolution "How AI Changes Everything"· 2024年11月16日播客Zvi Mowshowitz Still Puts P(doom) at 60%—and Says Not Updating Is Self-Deception主持 Nathan LabenzA six-month recap with the Don't Worry About the Vase author covering Ilya’s SSI, OpenAI’s o1, Claude’s computer use, the SB 1047 veto, and Trump’s return.企业与战略安全与治理AI Strategy+3
5:15:00EN
Lex Fridman· 2024年11月11日播客 · 2 人对谈Dario Amodei Has Seen This Scaling Movie Enough Times嘉宾 Dario Amodei · 主持 Lex FridmanAnthropic’s CEO puts numbers on frontier training costs and AGI, then hands the mic to the people who shape Claude’s character and look inside its weights.模型与训练安全与治理Scaling Laws+3
36:49EN
No Priors: AI, Machine Learning, Tech, & Startups· 2024年11月7日播客 · 2 人对谈Jensen Huang: NVIDIA Is No Longer Building Computers. It Is Building AI Factories主持 Sarah Guo, Elad GilOn No Priors, NVIDIA’s CEO walks through hyper Moore’s law, NVLink, a 100,000-GPU cluster stood up in weeks, and why tokens are the new commodity.基础设施与部署AI cost & performanceInference+3
41:42EN
Sequoia Capital· 2024年10月22日播客Neural Networks Are Still Waiting for Their ThermodynamicsOpenAI researcher Dan Roberts on why physicists keep migrating into AI, and why the field still lacks the equivalent of the ideal gas law.模型与训练AI researchScaling Laws+3
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