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35:39EN
No Priors: AI, Machine Learning, Tech, & Startups· 2026년 10월 2일팟캐스트 · 2명Compute Scaled a Millionfold. Bandwidth Only 40x. Fractile Wants to Fix That Ratio진행자 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.
47:22EN
Sequoia Capital· 2026년 8월 4일팟캐스트From 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.
49:12ENSequoia Capital· 2026년 7월 29일팟캐스트The 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.
1:47:38EN
Cognitive Revolution "How AI Changes Everything"· 2026년 7월 4일팟캐스트19 Neurons Can Drive a Car. Liquid AI Wants Foundation Models on Every Chip진행자 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.
1:13:33EN
Unsupervised Learning: With Jacob Effron· 2026년 6월 3일팟캐스트A Trillion Tokens Later, the Concept Finally Lands: Łukasz Kaiser on What Transformers Still Miss진행자 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.
2:25:58EN
Lex Fridman· 2026년 3월 23일팟캐스트 · 2명AGI Is Already Here. Building NVIDIA Is Not.게스트 Jensen Huang · 진행자 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.
4:25:13ENLex Fridman· 2026년 1월 31일팟캐스트The Architecture Barely Changed. Data, Cost, and Open Weights Did.진행자 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.
1:03:00ENUnsupervised Learning: With Jacob Effron· 2026년 1월 29일팟캐스트A Model That Solves New Math Problems Every Week Still Isn't AGI진행자 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.
37:00ENSequoia Capital· 2026년 1월 14일팟캐스트The 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.
1:18:05ENUnsupervised Learning: With Jacob Effron· 2025년 12월 18일팟캐스트The Real Bottleneck in AI Research Is Compute, Not Ideas진행자 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.
39:16ENNo 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.
1:48:46ZH
Zhang Xiaojun Podcast· 2025년 11월 18일팟캐스트 · 2명刘先明：拆掉语言，让物理 AI 回到数据与动作게스트 刘先明 · 진행자 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。
1:39:05ENCognitive Revolution "How AI Changes Everything"· 2025년 10월 29일팟캐스트The Summer GPT-5 Disappointed Does Not Mean AI Progress Has Stalled진행자 Nathan LabenzNathan Labenz tells Erik Torenberg why the GPT-5 backlash mixed up product mishaps, naming chaos, and a real jump in capabilities.
41:32ENSequoia Capital· 2025년 10월 28일팟캐스트Moore'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.
1:02:05ENUnsupervised Learning: With Jacob Effron· 2025년 9월 24일팟캐스트$100 Million Researchers and a $200 Billion xAI: An AI Roundtable Does the Math진행자 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.
2:12:04ENLex Fridman· 2025년 6월 5일팟캐스트 · 2명From a Five-Year Phone Queue to 480 Trillion Tokens a Month게스트 Sundar Pichai · 진행자 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.
51:08ENUnsupervised Learning: With Jacob Effron· 2025년 4월 15일팟캐스트The Transformer Co-Author Who Says Scaling Hit a Wall진행자 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.
1:10:23ENUnsupervised Learning: With Jacob Effron· 2025년 3월 17일팟캐스트A Million Tokens per Dollar: Why Noam Shazeer Thinks Inference Compute Is Still Untapped진행자 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.
57:41ENNo Priors: AI, Machine Learning, Tech, & Startups· 2025년 2월 25일팟캐스트 · 2명A Hundred Million Cells, Four People, Three Days: Biology's ImageNet Moment진행자 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.
48:18ENUnsupervised Learning: With Jacob Effron· 2024년 12월 6일팟캐스트Noam Brown: There's No Hard Wall—Just Eight Orders of Magnitude of Headroom진행자 Jacob EffronA ChatGPT query costs about a penny. The problems society cares about most, he says, are worth a million dollars.
44:16ENNo Priors: AI, Machine Learning, Tech, & Startups· 2024년 11월 21일팟캐스트 · 2명Cohere's Aidan Gomez: The Model Curve Is Flattening, and $20 Million Now Buys GPT-4진행자 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.
2:40:58ENCognitive Revolution "How AI Changes Everything"· 2024년 11월 16일팟캐스트Zvi Mowshowitz Still Puts P(doom) at 60%—and Says Not Updating Is Self-Deception진행자 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.
5:15:00ENLex Fridman· 2024년 11월 11일팟캐스트 · 2명Dario Amodei Has Seen This Scaling Movie Enough Times게스트 Dario Amodei · 진행자 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.
36:49ENNo Priors: AI, Machine Learning, Tech, & Startups· 2024년 11월 7일팟캐스트 · 2명Jensen Huang: NVIDIA Is No Longer Building Computers. It Is Building AI Factories진행자 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.더 보기58개 중 24개 표시