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38:14EN
No Priors: AI, Machine Learning, Tech, & Startups· Sep 18, 2026Podcast · 2 speakersDiffusion Will Win Inference: Stefano Ermon Bets Parallel Tokens Beat Custom SiliconHost Sarah Guo, Elad GilThe Stanford diffusion pioneer tells No Priors why a 50-person lab is training language models that generate many tokens at once — and why that maps to GPUs the way transformers once mapped to training.Models & trainingInferenceAI cost & performance+3
3:36:13EN
Zhang Xiaojun Podcast· Aug 13, 2026Podcast · 2 speakersNVIDIA’s Ming-Yu Liu on Cosmos, Physical AI, and Creating New MarketsGuest Ming-Yu Liu · Host 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
2:59:03EN
Zhang Xiaojun Podcast· Jul 28, 2026Podcast · 2 speakersYou Kaichao on How vLLM Grew from Open-Source Project to AI Infrastructure CompanyGuest You Kaichao · Host 张小珺Inferact co-founder You Kaichao traces vLLM’s path from Berkeley research to a company, then explains why model, inference, hardware and agent design increasingly have to move together.Company BuildingAI startups & small teamsAI research+2
3:46:12EN
Zhang Xiaojun Podcast· Jul 16, 2026Podcast · 2 speakersKay Ke on Physical Intelligence, Robot Learning, and the Future of RoboticsGuest Kay Ke · Host 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
36:19EN
No Priors: AI, Machine Learning, Tech, & Startups· Jun 26, 2026Podcast · 2 speakersThe Benchmark Grid Is Broken: Why Test-Time Compute Has Outrun How We Score ModelsHost Sarah Guo, Elad GilOpenAI researcher Noam Brown argues that static leaderboards hide how long a model is allowed to think — and that safety evals, research taste, and the release cycle have not caught up.Evals & observabilityEvalsBenchmarks+3
32:22EN
20VC with Harry Stebbings· Apr 7, 2026Podcast · 2 speakersDemis Hassabis on AGI, Scientific Discovery and the Challenges AheadGuest Demis Hassabis · Host Harry StebbingsThe Google DeepMind CEO discusses compute, continual learning, safety standards and his hopes for AI in science, medicine and energy.AGIAI researchAI Safety+2
4 slides13:30EN
3Blue1Brown· Aug 17, 2025How AlphaGeometry Combines Logical Proof with Creative ConstructionAleph0Aleph0 explains how a symbolic geometry solver gets surprisingly far without AI, and how a language model supplies the auxiliary constructions that take it to Olympiad level.MathematicsReasoning & test-time computeAI research+2
42:09EN
No Priors: AI, Machine Learning, Tech, & Startups· Jun 26, 2025Podcast · 2 speakersAlphaEvolve found algorithms humans missed for 50 years — then sped up Gemini 23%Host Sarah Guo, Elad GilGoogle DeepMind’s Pushmeet Kohli and Matej Balog tell No Priors how an evolutionary coding agent searches algorithm space the way AlphaGo searched Go.Coding agentsAgent engineeringEvals+3
3:14:34EN
Lex Fridman· Jun 14, 2025Podcast · 2 speakersIf ten things make a problem hard, Terence Tao turns nine of them offGuest Terence Tao · Host Lex FridmanThe Fields Medalist walks Lex Fridman from the Kakeya needle and Navier-Stokes through Lean, Perelman, and why today's AI still cannot smell a dead-end proof.MathematicsAI for scienceAI research+3
38:10EN
No Priors: AI, Machine Learning, Tech, & Startups· May 1, 2025Podcast · 2 speakerso3 should wait exactly as long as the answer takesHost Sarah Guo, Elad GilOpenAI researchers Eric Mitchell and Brandon McKinzie tell No Priors why o3's leap is a chain of tools during reasoning — and why you should send the same prompt a hundred times.Models & trainingReasoning & test-time computeReinforcement Learning+3
2:36:13ZH → English
Zhang Xiaojun Podcast· Feb 24, 2025Podcast · 2 speakersSonglin Yang on New Attention Papers from DeepSeek, Kimi, and MiniMaxGuest Songlin Yang(松琳) · Host 张小珺From dynamic sparse attention to hybrid linear-attention architectures: how three approaches to long context balance training, inference, and hardware efficiency.Transformers & attentionGPU programming & kernelsModels & training+2
53:07ZH → English
Zhang Xiaojun Podcast· Feb 17, 2025Podcast · 2 speakersZhang 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.AGIRoboticsAI research+2
45:31EN
MBMatthew Berman· Feb 15, 2025Jerry Chow on Quantum Computing, Encryption, AI and Error CorrectionMatthew Berman, Jerry Chow · Forward FutureIBM’s quantum systems director explains qubits, cryogenic hardware, software and the work needed to make quantum computers useful.Quantum MechanicsCybersecurityAI research
2:49:35ZH → English
Zhang Xiaojun Podcast· Feb 4, 2025Podcast · 2 speakersPan Jiayi on R1, o1, and Kimi K1.5: How Reinforcement Learning Teaches Models to ReasonGuest 潘嘉怡 · Host 张小珺Pan Jiayi, a Berkeley PhD student, walks through reasoning-model reports from DeepSeek, OpenAI, and Kimi, unpacking long chains of thought, GRPO, reward design, and distillation. R1-Zero’s “aha moment” shows how reasoning strategies can emerge through reinforcement learning.Reinforcement LearningModels & trainingAI research+2
1:33:07ZH → English
Zhang Xiaojun Podcast· Aug 17, 2024Podcast · 2 speakersLi Guangmi on a Year in Global LLMs: Scaling Law, the AGI Bet, and the US–China LandscapeGuest 李广密 · Host 张小珺Drawing on his front-row view from Silicon Valley, Shixiang Capital founder Li Guangmi looks back at the competition among OpenAI, Anthropic, Google, and Chinese model companies. He argues that model capability and cost together will shape the next wave of applications, while today’s enormous investments are bets on whether intelligence can keep scaling and how AI will reshape the economy and industry over the long term.Models & trainingScaling LawsAI research+2
34:09EN
No Priors: AI, Machine Learning, Tech, & Startups· Jun 27, 2024Podcast · 2 speakersFive Independent Teams Found the Same 10-to-1 Mix That Beats TransformersHost Sarah Guo, Elad GilThe authors of S4 and Mamba argue that mostly state-space layers plus a dash of attention is the architecture that actually works—and they are shipping it first as real-time speech.Models & trainingTransformers & attentionVoice AI+3
26:00EN
No Priors: AI, Machine Learning, Tech, & Startups· Jun 11, 2024Podcast · 2 speakersWhy a Zapier founder thinks AGI research has been stalled for four yearsHost Sarah Guo, Elad GilMike Knoop and François Chollet put more than a million dollars on beating ARC-AGI, the eval they say actually measures general intelligence.Evals & observabilityAGIBenchmarks+3
2:15:39EN
Lex Fridman· Jun 2, 2024Podcast · 2 speakersRoman Yampolskiy Puts Superintelligent Ruin at 99.99 PercentGuest Roman Yampolskiy · Host Lex FridmanThe AI safety researcher tells Lex Fridman that controlling AGI is as impossible as a perpetual motion machine, and that tests, open source, and regulation cannot close the gap.Security & safetySafety & governanceExistential Risk+3
2:50:44EN
Lex Fridman· Apr 17, 2024Podcast · 2 speakersThe Pirahã Have No Word for OneGuest Edward Gibson · Host Lex FridmanMIT psycholinguist Ted Gibson tells Lex Fridman why related words sit together, why language is not thought, and why large language models ace form while missing meaning.Neuroscience & AIAI researchPhilosophy of Mind+1
2:47:17EN
Lex Fridman· Mar 7, 2024Podcast · 2 speakersIf You Want Human-Level AI, Abandon Generative ModelsGuest Yann Lecun · Host Lex FridmanYann LeCun tells Lex Fridman why autoregressive LLMs cannot plan, remember, or understand the physical world — and why open source is the only democratic answer.Models & trainingWorld modelsAGI+3
41:58EN
No Priors: AI, Machine Learning, Tech, & Startups· Nov 2, 2023Podcast · 2 speakersReliability is the bottleneck. Autonomy is what would make AI feel alive.Host Sarah Guo, Elad GilIlya Sutskever talks with Sarah Guo and Elad Gil about AlexNet, OpenAI’s capped-profit bet, why smaller models mainly lose reliability, and the line he draws for digital life.Models & trainingAGIScaling Laws+3
39:50EN
No Priors: AI, Machine Learning, Tech, & Startups· Jul 20, 2023Podcast · 2 speakersWhy AI Video Is Still a Four-Second CorgiHost Sarah Guo, Elad GilMeta research director Devi Parikh explains why text-to-video has stalled on short animated images, and what it will take to get past that plateau.Multimodal & mediaGenerative mediaVision & video+3
3:11:35EN
Lex Fridman· Jun 21, 2023Podcast · 2 speakersSearch was always a hack: Marc Andreessen on AI, truth, and the next internetGuest Marc Andreessen · Host Lex FridmanLex Fridman sits down with the Mosaic co-creator and Andreessen Horowitz founder to ask whether Google Search, the browser, and open-source AI survive the decade.Enterprise & strategySearch & retrievalSynthetic data+3
2:07:04EN
Lex Fridman· May 28, 2023Podcast · 2 speakersThe Ribosome Already Solved Digital ManufacturingGuest Neil Gershenfeld · Host Lex FridmanNeil Gershenfeld tells Lex Fridman why Turing separated the head from the tape, how fab labs are the personal-computer moment for making things, and what it would take to grow a civilization from about twenty parts.Open source & communityRoboticsAI research+3
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