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Sequoia Capital· 17 sept. 2024PodcastHumanoid robots fell from $1.5 million to $30,000. The GPT-3 moment is still a verbNvidia’s Jim Fan tells Sequoia how three kinds of data, a humanoid bet, and a System-1 motor-control model could unlock general-purpose robots.AgentsRoboticsScaling Laws+3
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Sequoia Capital· 10 sept. 2024PodcastAGI Has One Problem Left: Spend a Million Times More on a TokenMagic founder Eric Steinberger tells Sequoia’s Training Data why he trains his own models, why a software engineer is the MVP of AGI, and why 96% still is not a colleague.Agents de codeAGIReasoning & test-time compute+3
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Zhang Xiaojun Podcast· 5 sept. 2024Podcast · 3 voix广密:Self-play RL 可能开启 AGI 的新 Scaling LawInvité : 广密 · Anime : 张小珺广密认为,纯靠语言预训练扩展模型的边际收益可能正在减弱,self-play 强化学习是更值得押注的新路径。它能否泛化到代码、视频、机器人和更广的领域,将决定下一阶段的 AGI 竞赛。Reinforcement LearningAGIScaling Laws+2
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Sequoia Capital· 20 août 2024PodcastThe 40% data-center save started with an email that ended in a question markPhaidra founder Jim Gao tells Sequoia how an AlphaGo-inspired bet at Google became reinforcement learning that runs billion-dollar plants.Infrastructure et déploiementReinforcement LearningData quality & curation+3
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No Priors: AI, Machine Learning, Tech, & Startups· 1 août 2024Podcast · 2 voixOriol Vinyals: The Days of Burning 90% of Compute on Pretraining Are NumberedAnime : 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.Modèles et entraînementAGI TimelinesPretraining & midtraining+3
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Sequoia Capital· 16 juil. 2024PodcastAlphaGo Combined Learning and Search. Language Models Only Did the First Half.Reflection AI's Misha Laskin tells Sequoia why prompted coding agents stall in the teens, and why the missing piece is still a ground-truth reward.AgentsIngénierie d’agentsReinforcement Learning+3
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Cognitive Revolution "How AI Changes Everything"· 13 juin 2024PodcastA $150 million model, $5 million six months later: Benchmark’s AI investment mathAnime : Nathan LabenzEric Vishria and Quilter’s Sergiy Nesterenko explain why PCB layout is not a Copilot problem, why human board data would be the wrong training set, and which AI companies look like sugar highs.Entreprise et stratégieAI StrategyAI startups & small teams+3
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Cognitive Revolution "How AI Changes Everything"· 25 avr. 2024PodcastA Week of PCB Layout in an Hour: Quilter Trains Agents, Not ImitatorsAnime : Nathan LabenzSpaceX alum Sergiy Nesterenko tells Will Summerlin how Quilter uses reinforcement learning to compile schematics into manufacturable boards, and why cloning human layouts would cap the system at human skill.Entreprise et stratégieReinforcement LearningRL environments & simulators+3
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Lex Fridman· 16 févr. 2024Podcast · 2 voixYou Have to Run Before You Can Walk: Marc Raibert on Making Metal Look AliveInvité : Marc Raibert · Anime : 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
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Cognitive Revolution "How AI Changes Everything"· 7 févr. 2024PodcastA Worm With 302 Neurons Already Makes Trade-offs. AI Is Still on the Same Ladder.Anime : Nathan LabenzMax Bennett maps 600 million years of brain evolution onto five breakthroughs — and asks which rungs today's models have actually reached.Modèles et entraînementAI HistoryNeuroscience & AI+3
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Matthew Berman· 23 janv. 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.RoboticsAgentsReinforcement Learning+2
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Lex Fridman· 28 avr. 2023Podcast · 2 voixIt took Atlas fourteen years to walk the way Playter wantedInvité : Robert Playter · Anime : 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
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跟李沐学AI· 29 déc. 2022InstructGPT 论文精读:从人工反馈到语言模型对齐从监督微调、奖励模型到 PPO,梳理 InstructGPT 的训练流程、实验结果与局限。Reinforcement LearningModèles et entraînement
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Lex Fridman· 6 déc. 2022Podcast · 2 voixThe Poker Bot That Never Tried to Read a SoulInvité : Noam Brown · Anime : 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.AgentsReinforcement LearningMulti-agent systems+1
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Lex Fridman· 1 juil. 2022Podcast · 2 voixDemis Hassabis: Solve Intelligence, Then Solve Everything ElseInvité : Demis Hassabis · Anime : 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.Modèles et entraînementAI researchAGI+3
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Lex Fridman· 19 avr. 2021Podcast · 2 voixIf You Reran Earth a Million Times, Would Anything Like Us Appear?Invité : Risto Miikkulainen · Anime : Lex FridmanRisto Miikkulainen on neuroevolution, hyena raids, basil that never sleeps, and why variation-plus-selection still finds solutions backpropagation cannot see.Modèles et entraînementFondamentaux du MLAI research+3
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Lex Fridman· 12 déc. 2020Podcast · 2 voixMichael Littman isn’t waiting for a runaway god. He’s watching us.Invité : Michael Littman · Anime : 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.Modèles et entraînementReinforcement LearningAGI+3
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Lex Fridman· 14 juil. 2020Podcast · 2 voixThe Robot That Brought the Beer Was Being TeleoperatedInvité : Sergey Levine · Anime : 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.Modèles et entraînementRoboticsReinforcement Learning+3
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Lex Fridman· 3 juil. 2020Podcast · 2 voixSlow Synapses Grow Fast Learners — Warmth Is the Harder ProblemInvité : Matt Botvinick · Anime : 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.Modèles et entraînementNeuroscience & AIReinforcement Learning+3
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Lex Fridman· 3 avr. 2020Podcast · 2 voixDavid Silver: AlphaGo Won by Taking Human Knowledge OutInvité : David Silver · Anime : 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.Modèles et entraînementReinforcement LearningDeep Learning+3
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Lex Fridman· 19 mars 2020Podcast · 2 voixMaybe people are rational under different assumptionsInvité : Anca Dragan · Anime : Lex FridmanAnca Dragan talks with Lex Fridman about inverse reinforcement learning, autonomous driving, and why a written reward is evidence rather than law.AgentsRoboticsReinforcement Learning+3
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Lex Fridman· 26 févr. 2020Podcast · 2 voixWhy Marcus Hutter Treats Compression as Intelligence ItselfInvité : Marcus Hutter · Anime : 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.AgentsAGIAI research+3
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Lex Fridman· 20 févr. 2020Podcast · 2 voixAndrew Ng: The Hardest Part of AI Is Rarely the AlgorithmInvité : Andrew Ng · Anime : 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.Entreprise et stratégieDeep LearningScaling Laws+3
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Lex Fridman· 29 oct. 2019Podcast · 2 voixKasparov on Deep Blue, AlphaZero, and Why Machines Win Closed Systems but Humans Still Choose the QuestionsInvité : Garry Kasparov · Anime : 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.AI HistoryPhilosophyHuman-AI Collaboration+3
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