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1:09:44EN
No Priors: AI, Machine Learning, Tech, & Startups· 9 oct 2026Pódcast · 2 voces10,000 GB300s for Four Weeks: Reflection’s Open-Model LedgerPresenta: Sarah Guo, Elad GilMisha Laskin tells No Priors how Reflection trained Beam, why reinforcement learning outspent pre-training, and why the West needs its own open weights.
1:02:42EN
20VC with Harry Stebbings· 25 jul 2026Pódcast · 2 vocesMercor’s Osvald Nitski on AI Training Data, Product and Customer ConcentrationInvitado: Osvald Nitski · Presenta: Harry StebbingsMercor’s head of product discusses how the company supplies expert data to AI labs, designs its marketplace and plans to reach more enterprise customers.
3:46:12EN
Zhang 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.
31:22EN
Matthew Berman· 26 may 2026Cursor Composer 2.5 and the Economics of Coding ModelsMatthew Berman, Sundar Pichai · Forward FutureMatthew Berman examines coding benchmarks, model costs and enterprise budgets, then considers Cursor’s partnership with SpaceX and Anthropic’s demand for compute.
2:06:16ZHZhang Xiaojun Podcast· 28 nov 2025Pódcast · 2 voces谭捷：机器人通用智能的瓶颈在数据，通用形态仍需时间Invitado: 谭捷 · Presenta: 张小珺Google DeepMind 机器人研究科学家谭捷回顾了从计算机图形学到机器人、从强化学习到 Gemini Robotics 的研究路径。他认为机器人基础模型尚未成为独立学科，数据规模与覆盖度、跨本体迁移、实时推理和安全仍是走向真实应用的关键。
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.
36:58ENNo Priors: AI, Machine Learning, Tech, & Startups· 9 oct 2025Pódcast · 2 vocesSTaR's Author Wants Models With EQ, Not Just More IQPresenta: Sarah Guo, Elad GilEric Zelikman, the Stanford and xAI researcher behind STaR and Quiet-STaR, launches humans& on the bet that three years of IQ scaling left models emotionally unintelligent.
51:06EN20VC with Harry Stebbings· 18 jul 2025Pódcast · 2 vocesScott Wu on Cognition's Windsurf Deal and the Future of AI CodingInvitado: Scott Wu · Presenta: Harry StebbingsThe Cognition CEO explains the fast-moving acquisition, the role of AI agents in engineering, and his predictions for software development.
1:02:54ENNo Priors: AI, Machine Learning, Tech, & Startups· 17 jul 2025Pódcast · 2 vocesEnterprise Coding Tools Flipped the 80/20. Reflection AI Built the Other HalfPresenta: Sarah Guo, Elad GilFormer Gemini reward-model lead Misha Laskin on Asimov, why comprehension beats generation, and why there is no such thing as generalization—only pulling the test distribution into train.
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.
30:46ENNo Priors: AI, Machine Learning, Tech, & Startups· 24 abr 2025Pódcast · 2 vocesDeep Research Turned Web Browsing into a Trainable ProblemPresenta: Sarah Guo, Elad GilOpenAI researcher Isa Fulford explains why a side project on read-only synthesis became an agent, when reinforcement fine-tuning is worth it, and why models will hack the search engine you gave them.
21:10ENMatthew Berman· 11 feb 2025Sam Altman’s 2025 AI Coding Forecast and Three ObservationsMatthew Berman, Sam Altman · Forward FutureMatthew Berman examines predictions about reasoning models, software agents and AI economics, distinguishing competitive-programming results from broader work.
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。
39:22ENNo Priors: AI, Machine Learning, Tech, & Startups· 14 nov 2024Pódcast · 2 vocesA Fields Medalist Stuck for Two Hours. AlphaProof Climbed for Three Days.Presenta: Sarah Guo, Elad GilThe DeepMind team behind AlphaProof tells Sarah Guo and Elad Gil how an AlphaZero-style agent, a Lean verifier, and test-time reinforcement learning reached IMO silver — and why the missing skill is still theory building.
46:09ENNo Priors: AI, Machine Learning, Tech, & Startups· 1 ago 2024Pódcast · 2 vocesOriol Vinyals: The Days of Burning 90% of Compute on Pretraining Are NumberedPresenta: Sarah Guo, Elad GilGoogle DeepMind’s VP of research on Gemini, long context, the coming shift from pretraining to RL, and why AGI may never have a finish line.
1:43:47EN
Lex Fridman· 16 feb 2024Pódcast · 2 vocesYou Have to Run Before You Can Walk: Marc Raibert on Making Metal Look AliveInvitado: Marc Raibert · Presenta: Lex FridmanThe Boston Dynamics founder tells Lex Fridman why aggressive hopping beat cautious walking, how 109 Atlas falls became a method, and why robots still need a second kind of intelligence.
21:00ENMatthew Berman· 23 ene 2024Jim Fan's Foundation Agent Vision: Skills, Robot Bodies, and SimulationMatthew Berman, Jim Fan · Forward FutureMatthew Berman examines research on Minecraft agents, varied robot bodies, and simulation as steps toward more general embodied AI.
2:27:58ENLex Fridman· 28 abr 2023Pódcast · 2 vocesIt took Atlas fourteen years to walk the way Playter wantedInvitado: Robert Playter · Presenta: Lex FridmanBoston Dynamics CEO Robert Playter traces thirty years from a MIT basement pogo stick to Atlas, Spot, and Stretch — and why the company still designs machines that are allowed to fall.
2:29:21ENLex Fridman· 6 dic 2022Pódcast · 2 vocesThe Poker Bot That Never Tried to Read a SoulInvitado: Noam Brown · Presenta: Lex FridmanNoam Brown tells Lex Fridman how a Nash-equilibrium bot crushed heads-up no-limit Hold'em, how Pluribus did it six-handed, and why Diplomacy required an AI that could earn human trust.
2:10:39ENLex Fridman· 1 jul 2022Pódcast · 2 vocesDemis Hassabis: Solve Intelligence, Then Solve Everything ElseInvitado: Demis Hassabis · Presenta: Lex FridmanThe DeepMind CEO tells Lex Fridman why the Turing Test is the wrong exam, how AlphaFold rewrote biology, and why the quiet radio sky suggests we are probably alone.
1:56:17ENLex Fridman· 19 abr 2021Pódcast · 2 vocesIf You Reran Earth a Million Times, Would Anything Like Us Appear?Invitado: Risto Miikkulainen · Presenta: Lex FridmanRisto Miikkulainen on neuroevolution, hyena raids, basil that never sleeps, and why variation-plus-selection still finds solutions backpropagation cannot see.
2:01:07ENLex Fridman· 12 dic 2020Pódcast · 2 vocesMichael Littman isn’t waiting for a runaway god. He’s watching us.Invitado: Michael Littman · Presenta: Lex FridmanThe Brown reinforcement-learning researcher tells Lex Fridman why accidental superintelligence feels like a 747 assembling itself — and why social media, rote language, and theory of mind worry him more.
1:37:31ENLex Fridman· 14 jul 2020Pódcast · 2 vocesThe Robot That Brought the Beer Was Being TeleoperatedInvitado: Sergey Levine · Presenta: Lex FridmanSergey Levine tells Lex Fridman why hardware is almost closed, why common sense has to be lived, and why offline reinforcement learning is the missing on-ramp from logs to robots that keep getting better.
2:00:32ENLex Fridman· 3 jul 2020Pódcast · 2 vocesSlow Synapses Grow Fast Learners — Warmth Is the Harder ProblemInvitado: Matt Botvinick · Presenta: Lex FridmanDeepMind neuroscience director Matt Botvinick tells Lex Fridman how prefrontal cortex, meta-reinforcement learning, and dopamine research meet the human question of what a better life with AI would actually look like.Cargar másMostrando 24 de 37