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1:09:44EN
No Priors: AI, Machine Learning, Tech, & Startups· Oct 9, 2026Podcast · 2 speakers10,000 GB300s for Four Weeks: Reflection’s Open-Model LedgerHost 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.
2:06:16ZH → English
Zhang Xiaojun Podcast· Nov 28, 2025Podcast · 2 speakersTan Jie: Data Is the Bottleneck for General-Purpose Robot Intelligence, and a General Form Will Take TimeGuest 谭捷 · Host 张小珺Tan Jie, a robotics research scientist at Google DeepMind, looks back on his path from computer graphics to robotics, from reinforcement learning to Gemini Robotics. He argues that robot foundation models have not yet become an independent discipline, and that data scale and coverage, cross-embodiment transfer, real-time reasoning, and safety remain key to real-world applications.
36:58ENNo Priors: AI, Machine Learning, Tech, & Startups· Oct 9, 2025Podcast · 2 speakersSTaR's Author Wants Models With EQ, Not Just More IQHost 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.
1:02:54ENNo Priors: AI, Machine Learning, Tech, & Startups· Jul 17, 2025Podcast · 2 speakersEnterprise Coding Tools Flipped the 80/20. Reflection AI Built the Other HalfHost 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· 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.
30:46ENNo Priors: AI, Machine Learning, Tech, & Startups· Apr 24, 2025Podcast · 2 speakersDeep Research Turned Web Browsing into a Trainable ProblemHost 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.
2:49:35ZH → EnglishZhang 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Berkeley PhD candidate Pan Jiayi 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.
39:22ENNo Priors: AI, Machine Learning, Tech, & Startups· Nov 14, 2024Podcast · 2 speakersA Fields Medalist Stuck for Two Hours. AlphaProof Climbed for Three Days.Host 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· Aug 1, 2024Podcast · 2 speakersOriol Vinyals: The Days of Burning 90% of Compute on Pretraining Are NumberedHost 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· Feb 16, 2024Podcast · 2 speakersYou Have to Run Before You Can Walk: Marc Raibert on Making Metal Look AliveGuest Marc Raibert · Host 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.
2:27:58ENLex Fridman· Apr 28, 2023Podcast · 2 speakersIt took Atlas fourteen years to walk the way Playter wantedGuest Robert Playter · Host 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· Dec 6, 2022Podcast · 2 speakersThe Poker Bot That Never Tried to Read a SoulGuest Noam Brown · Host 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· Jul 1, 2022Podcast · 2 speakersDemis Hassabis: Solve Intelligence, Then Solve Everything ElseGuest Demis Hassabis · Host 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· Apr 19, 2021Podcast · 2 speakersIf You Reran Earth a Million Times, Would Anything Like Us Appear?Guest Risto Miikkulainen · Host 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· Dec 12, 2020Podcast · 2 speakersMichael Littman isn’t waiting for a runaway god. He’s watching us.Guest Michael Littman · Host 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· Jul 14, 2020Podcast · 2 speakersThe Robot That Brought the Beer Was Being TeleoperatedGuest Sergey Levine · Host 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· Jul 3, 2020Podcast · 2 speakersSlow Synapses Grow Fast Learners — Warmth Is the Harder ProblemGuest Matt Botvinick · Host 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.
1:48:01ENLex Fridman· Apr 3, 2020Podcast · 2 speakersDavid Silver: AlphaGo Won by Taking Human Knowledge OutGuest David Silver · Host Lex FridmanThe DeepMind researcher behind AlphaGo and AlphaZero tells Lex Fridman how an unclaimed million-dollar Go prize, a BBC Micro at age seven, and a honeymoon insight led to superhuman self-play.
1:38:33ENLex Fridman· Mar 19, 2020Podcast · 2 speakersMaybe people are rational under different assumptionsGuest Anca Dragan · Host Lex FridmanAnca Dragan talks with Lex Fridman about inverse reinforcement learning, autonomous driving, and why a written reward is evidence rather than law.
1:39:56ENLex Fridman· Feb 26, 2020Podcast · 2 speakersWhy Marcus Hutter Treats Compression as Intelligence ItselfGuest Marcus Hutter · Host Lex FridmanThe DeepMind researcher behind AIXI tells Lex Fridman why a Wikipedia compression contest, Solomonoff induction, and an incomputable formula belong in the same conversation.
1:29:10ENLex Fridman· Feb 20, 2020Podcast · 2 speakersAndrew Ng: The Hardest Part of AI Is Rarely the AlgorithmGuest Andrew Ng · Host Lex FridmanIn a conversation with Lex Fridman, Ng traces a path from late-night Coursera recordings to factory floors, arguing that messy data, habits, and starting small matter more than hype.
14:55ENLex Fridman· Oct 29, 2019Podcast · 2 speakersKasparov on Deep Blue, AlphaZero, and Why Machines Win Closed Systems but Humans Still Choose the QuestionsGuest Garry Kasparov · Host Lex FridmanGarry Kasparov revisits the 1997 loss to Deep Blue, explains why machines beat humans in closed systems, and argues that the human role is to pick the right questions and not interfere with superior machine knowledge.
1:03:13ENLex Fridman· Sep 30, 2019Podcast · 2 speakersYou Can't Have Both Kinds of Fairness, Says Peter NorvigGuest Peter Norvig · Host Lex FridmanThe co-author of Artificial Intelligence: A Modern Approach walks Lex Fridman through recidivism scores, utility functions, Lisp, MOOCs, and why human-level intelligence should not be the goal.
56:47ENLex Fridman· Sep 8, 2019Podcast · 2 speakersWhy Vijay Kumar Refuses to Call Them DronesGuest Vijay Kumar · Host Lex FridmanThe Penn roboticist on swarm design, true autonomy, and why batteries — not algorithms — still limit the sky.Load moreShowing 24 of 30