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1:09:44EN
No Priors: AI, Machine Learning, Tech, & Startups· 9. Okt. 2026Podcast · 2 Stimmen10,000 GB300s for Four Weeks: Reflection’s Open-Model LedgerModeration: 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.Open Source & CommunityOpen-weight modelsReinforcement Learning+3
36:58EN
No Priors: AI, Machine Learning, Tech, & Startups· 9. Okt. 2025Podcast · 2 StimmenSTaR's Author Wants Models With EQ, Not Just More IQModeration: 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.Modelle & TrainingPost-trainingReinforcement Learning+3
1:02:54EN
No Priors: AI, Machine Learning, Tech, & Startups· 17. Juli 2025Podcast · 2 StimmenEnterprise Coding Tools Flipped the 80/20. Reflection AI Built the Other HalfModeration: 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.Coding-AgentenAgent EngineeringEvals+3
38:10EN
No Priors: AI, Machine Learning, Tech, & Startups· 1. Mai 2025Podcast · 2 Stimmeno3 should wait exactly as long as the answer takesModeration: 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.Modelle & TrainingReasoning & test-time computeReinforcement Learning+3
30:46EN
No Priors: AI, Machine Learning, Tech, & Startups· 24. Apr. 2025Podcast · 2 StimmenDeep Research Turned Web Browsing into a Trainable ProblemModeration: 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.AgentenAgent EngineeringReinforcement Learning+3
2:49:35ZH
Zhang Xiaojun Podcast· 4. Feb. 2025Podcast · 2 Stimmen潘嘉怡解读 R1、o1 与 Kimi K1.5:强化学习如何教模型学会推理Gast: 潘嘉怡 · Moderation: 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。Reinforcement LearningModelle & TrainingAI research+2
39:22EN
No Priors: AI, Machine Learning, Tech, & Startups· 14. Nov. 2024Podcast · 2 StimmenA Fields Medalist Stuck for Two Hours. AlphaProof Climbed for Three Days.Moderation: 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.AgentenReinforcement LearningReasoning & test-time compute+1
46:09EN
No Priors: AI, Machine Learning, Tech, & Startups· 1. Aug. 2024Podcast · 2 StimmenOriol Vinyals: The Days of Burning 90% of Compute on Pretraining Are NumberedModeration: 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.Modelle & TrainingAGI TimelinesPretraining & midtraining+3
1:43:47EN
Lex Fridman· 16. Feb. 2024Podcast · 2 StimmenYou Have to Run Before You Can Walk: Marc Raibert on Making Metal Look AliveGast: Marc Raibert · Moderation: 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.RoboticsAutonomous SystemsCompany Building+3
2:27:58EN
Lex Fridman· 28. Apr. 2023Podcast · 2 StimmenIt took Atlas fourteen years to walk the way Playter wantedGast: Robert Playter · Moderation: 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.RoboticsAutonomous SystemsAI research+3
2:29:21EN
Lex Fridman· 6. Dez. 2022Podcast · 2 StimmenThe Poker Bot That Never Tried to Read a SoulGast: Noam Brown · Moderation: 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.AgentenReinforcement LearningMulti-agent systems+1
2:10:39EN
Lex Fridman· 1. Juli 2022Podcast · 2 StimmenDemis Hassabis: Solve Intelligence, Then Solve Everything ElseGast: Demis Hassabis · Moderation: 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.Modelle & TrainingAI researchAGI+3
1:56:17EN
Lex Fridman· 19. Apr. 2021Podcast · 2 StimmenIf You Reran Earth a Million Times, Would Anything Like Us Appear?Gast: Risto Miikkulainen · Moderation: Lex FridmanRisto Miikkulainen on neuroevolution, hyena raids, basil that never sleeps, and why variation-plus-selection still finds solutions backpropagation cannot see.Modelle & TrainingML-GrundlagenAI research+3
2:01:07EN
Lex Fridman· 12. Dez. 2020Podcast · 2 StimmenMichael Littman isn’t waiting for a runaway god. He’s watching us.Gast: Michael Littman · Moderation: 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.Modelle & TrainingReinforcement LearningAGI+3
1:37:31EN
Lex Fridman· 14. Juli 2020Podcast · 2 StimmenThe Robot That Brought the Beer Was Being TeleoperatedGast: Sergey Levine · Moderation: 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.Modelle & TrainingRoboticsReinforcement Learning+3
2:00:32EN
Lex Fridman· 3. Juli 2020Podcast · 2 StimmenSlow Synapses Grow Fast Learners — Warmth Is the Harder ProblemGast: Matt Botvinick · Moderation: 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.Modelle & TrainingNeuroscience & AIReinforcement Learning+3
1:48:01EN
Lex Fridman· 3. Apr. 2020Podcast · 2 StimmenDavid Silver: AlphaGo Won by Taking Human Knowledge OutGast: David Silver · Moderation: 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.Modelle & TrainingReinforcement LearningDeep Learning+3
1:38:33EN
Lex Fridman· 19. März 2020Podcast · 2 StimmenMaybe people are rational under different assumptionsGast: Anca Dragan · Moderation: Lex FridmanAnca Dragan talks with Lex Fridman about inverse reinforcement learning, autonomous driving, and why a written reward is evidence rather than law.AgentenRoboticsReinforcement Learning+3
1:39:56EN
Lex Fridman· 26. Feb. 2020Podcast · 2 StimmenWhy Marcus Hutter Treats Compression as Intelligence ItselfGast: Marcus Hutter · Moderation: 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.AgentenAGIAI research+3
1:29:10EN
Lex Fridman· 20. Feb. 2020Podcast · 2 StimmenAndrew Ng: The Hardest Part of AI Is Rarely the AlgorithmGast: Andrew Ng · Moderation: 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.Unternehmen & StrategieDeep LearningScaling Laws+3
1:03:13EN
Lex Fridman· 30. Sept. 2019Podcast · 2 StimmenYou Can't Have Both Kinds of Fairness, Says Peter NorvigGast: Peter Norvig · Moderation: 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.Modelle & TrainingML-GrundlagenSicherheit & Governance+3
56:47EN
Lex Fridman· 8. Sept. 2019Podcast · 2 StimmenWhy Vijay Kumar Refuses to Call Them DronesGast: Vijay Kumar · Moderation: Lex FridmanThe Penn roboticist on swarm design, true autonomy, and why batteries — not algorithms — still limit the sky.RoboticsAutonomous SystemsMulti-agent systems+3
1:46:01EN
Lex Fridman· 29. Apr. 2019Podcast · 2 StimmenThe Night AlphaStar Beat TLO, the Team Went to a BarGast: Oriol Vinyals · Moderation: Lex FridmanOriol Vinyals on how DeepMind turned StarCraft II into a sequence problem, built a league of agents, and still refuses to call the game solved.AgentenReinforcement LearningMulti-agent systems+3
1:01:24EN
Lex Fridman· 12. März 2019Podcast · 2 StimmenLeslie Kaelbling: You Buy the Ticket Before You Can Plan the AirportGast: Leslie Kaelbling · Moderation: Lex FridmanThe MIT roboticist tells Lex Fridman why abstractions, belief-space control, and built-in bias matter more than picking a tribe of symbols or neural nets.AgentenReinforcement LearningRobotics+3
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