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38:14EN
No Priors: AI, Machine Learning, Tech, & Startups· 18 sept 2026Pódcast · 2 vocesDiffusion Will Win Inference: Stefano Ermon Bets Parallel Tokens Beat Custom SiliconPresenta: 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.
3:36:13EN
Zhang 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.
2:59:03ENZhang Xiaojun Podcast· 28 jul 2026Pódcast · 2 vocesYou Kaichao on How vLLM Grew from Open-Source Project to AI Infrastructure CompanyInvitado: You Kaichao · Presenta: 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.
3:46:12ENZhang Xiaojun Podcast· 16 jul 2026Pódcast · 2 vocesKay Ke on Physical Intelligence, Robot Learning, and the Future of RoboticsInvitado: Kay Ke · Presenta: 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.
36:19ENNo Priors: AI, Machine Learning, Tech, & Startups· 26 jun 2026Pódcast · 2 vocesThe Benchmark Grid Is Broken: Why Test-Time Compute Has Outrun How We Score ModelsPresenta: 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.
32:22EN
20VC with Harry Stebbings· 7 abr 2026Pódcast · 2 vocesDemis Hassabis on AGI, Scientific Discovery and the Challenges AheadInvitado: Demis Hassabis · Presenta: Harry StebbingsThe Google DeepMind CEO discusses compute, continual learning, safety standards and his hopes for AI in science, medicine and energy.
59:03EN20VC with Harry Stebbings· 3 nov 2025Pódcast · 2 vocesJoelle Pineau on Scaling, Reinforcement Learning and Enterprise AIInvitado: Joelle Pineau · Presenta: Harry StebbingsCohere’s chief AI officer discusses research uncertainty, agent security, synthetic data and the difference between benchmarks and useful work.
13:30EN
3Blue1Brown· 17 ago 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.
47:05ENLogan Kilpatrick on AI Developers, Interfaces, and the Future of ModelsMatthew Berman, Logan Kilpatrick · Forward FutureIn a July 2025 conversation, Google’s Logan Kilpatrick discusses Windsurf, agent interfaces, coding skills, Veo, and the shifting boundary between models and application scaffolding.
42:09ENNo Priors: AI, Machine Learning, Tech, & Startups· 26 jun 2025Pódcast · 2 vocesAlphaEvolve found algorithms humans missed for 50 years — then sped up Gemini 23%Presenta: 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.
3:14:34EN
Lex Fridman· 14 jun 2025Pódcast · 2 vocesIf ten things make a problem hard, Terence Tao turns nine of them offInvitado: Terence Tao · Presenta: 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.
38:10ENNo Priors: AI, Machine Learning, Tech, & Startups· 1 may 2025Pódcast · 2 voceso3 should wait exactly as long as the answer takesPresenta: 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.
8:35ENAI News: Vibe Jam, Mistral Small 3.1 and New Audio ModelsMatthew Berman · Forward FutureMatthew Berman surveys March 2025 releases, from AI-assisted games and local models to search, audio and creative tools.
2:36:13ZHZhang Xiaojun Podcast· 24 feb 2025Pódcast · 2 voces松琳解读 DeepSeek、Kimi 与 MiniMax 的注意力新论文Invitado: Songlin Yang（松琳） · Presenta: 张小珺从动态稀疏注意力到线性注意力混合架构：三条长上下文路线如何兼顾训练、推理与硬件效率
53:07ZHZhang Xiaojun Podcast· 17 feb 2025Pódcast · 2 voces张亚勤：信息智能、物理智能与生物智能的 AGI 路线图Invitado: 张亚勤 · Presenta: 张小珺张亚勤把 AGI 的发展分为信息、物理和生物三类智能：信息智能可能在五年内接近人类，通用机器人约需十年，生物智能则可能在二十年后扩展人的记忆与健康。他也讨论大模型如何为自动驾驶和机器人补上数据、常识与行动能力。
45:31ENJerry 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.
2:49:35ZHZhang Xiaojun Podcast· 4 feb 2025Pódcast · 2 voces潘嘉怡解读 R1、o1 与 Kimi K1.5：强化学习如何教模型学会推理Invitado: 潘嘉怡 · Presenta: 张小珺伯克利博士生潘嘉怡带读 DeepSeek、OpenAI 与 Kimi 的推理模型报告，拆解长思维链、GRPO、奖励设计与蒸馏。R1-Zero 的“顿悟时刻”展示了推理策略如何在强化学习中涌现。
1:19:00EN20VC with Harry Stebbings· 7 oct 2024Pódcast · 2 vocesEiso Kant on Poolside, Compute and AI for Software DevelopmentInvitado: Eiso Kant · Presenta: Harry StebbingsPoolside’s CTO explains code-execution feedback, the cost of model development and his company’s ambitions in the AI race.
1:33:07ZHZhang Xiaojun Podcast· 17 ago 2024Pódcast · 2 voces广密复盘全球大模型这一年：Scaling Law、AGI 豪赌与中美格局Invitado: 李广密 · Presenta: 张小珺拾象创始人李广密从硅谷一线观察出发，回顾 OpenAI、Anthropic、Google 与中国模型公司的竞争。他认为，模型能力与成本共同决定新一轮应用爆发，而巨额投入押注的是智能能否持续扩展以及 AI 对经济和产业的长期重构。
34:09ENNo Priors: AI, Machine Learning, Tech, & Startups· 27 jun 2024Pódcast · 2 vocesFive Independent Teams Found the Same 10-to-1 Mix That Beats TransformersPresenta: 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.
26:00ENNo Priors: AI, Machine Learning, Tech, & Startups· 11 jun 2024Pódcast · 2 vocesWhy a Zapier founder thinks AGI research has been stalled for four yearsPresenta: 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.
2:15:39ENLex Fridman· 2 jun 2024Pódcast · 2 vocesRoman Yampolskiy Puts Superintelligent Ruin at 99.99 PercentInvitado: Roman Yampolskiy · Presenta: 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.
2:50:44ENLex Fridman· 17 abr 2024Pódcast · 2 vocesThe Pirahã Have No Word for OneInvitado: Edward Gibson · Presenta: 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.
2:47:17ENLex Fridman· 7 mar 2024Pódcast · 2 vocesIf You Want Human-Level AI, Abandon Generative ModelsInvitado: Yann Lecun · Presenta: 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.Cargar másMostrando 24 de 112