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53:44EN
Sequoia Capital· 2026년 8월 18일팟캐스트The Biggest Bug in Today’s Models Is That the Weights Never ChangeTuring Award winner Rich Sutton and Khurram Javed founded Oak Lab to build agents that keep learning after they ship — and they call synthetic data a big mistake.에이전트Continual learningReinforcement Learning+3
59:41EN
Unsupervised Learning: With Jacob Effron· 2026년 5월 22일팟캐스트The GPT moment for video hasn’t arrived, but AGI may already be here진행자 Jacob EffronA day after Google I/O 2026, Gemini co-lead Oriol Vinyals argues that world models, file-system memory, and infinite-complexity RL environments will define the next era of frontier models.모델과 학습World modelsReinforcement Learning+3
1:21:56EN
Unsupervised Learning: With Jacob Effron· 2026년 5월 15일팟캐스트Yann LeCun Left Meta Because LLMs Will Not Get You to Intelligence진행자 Jacob EffronThe Turing Award winner tells Jacob Effron why he spun AMI Labs out of Meta, why JEPA-style world models beat pixel generators, and why he thinks Hinton changed his mind in 2023.모델과 학습World modelsAI research+3
41:36EN
Sequoia Capital· 2025년 11월 18일팟캐스트Four Months to Drive Tokyo: How Wayve Bet the Company on One End-to-End NetworkWayve CEO Alex Kendall tells Sequoia’s Training Data why AV 2.0 ditches HD maps and hand-written stacks for a foundation model that can adapt to a new car and a new country in weeks.모델과 학습Autonomous DrivingWorld models+3
1:00:26EN
Sequoia Capital· 2025년 11월 6일팟캐스트Seven Million Videos a Day, and Most Return Visits Are Spent CreatingOpenAI's Sora 2 leads walk through diffusion transformers, physics that rebounds off the backboard, and a feed designed against mindless scrolling.멀티모달과 미디어Generative media비전과 영상+3
43:09EN
Sequoia Capital· 2025년 9월 9일팟캐스트A $100 Arm and a $300 Robot: Hugging Face Wants an App Store for Physical AIThomas Wolf tells Sequoia's Training Data why LeRobot, cheap hardware, and open datasets are Hugging Face's bet that software developers can become roboticists.오픈소스와 커뮤니티RoboticsOpen-source ecosystems+2
2:28:14EN
Lex Fridman· 2025년 7월 23일팟캐스트 · 2명Nature Has Structure: Demis Hassabis on Learnable Reality and AGI게스트 Demis Hassabis · 진행자 Lex FridmanThe Google DeepMind CEO argues that evolution-shaped systems can be modeled by classical learning, and that interactive world models sit on the path to AGI.기업과 전략World modelsAGI(범용 인공지능)+3
35:47EN
No Priors: AI, Machine Learning, Tech, & Startups· 2025년 6월 5일팟캐스트 · 2명Fei-Fei Li’s new bet: AI is incomplete without spatial intelligence진행자 Sarah Guo, Elad GilThe ImageNet pioneer tells Sarah Guo and Elad Gil why World Labs is building 3D generative foundation models, and why language was only one piece of the puzzle.멀티모달과 미디어Multimodal AI비전과 영상+3
1:19:10EN
Cognitive Revolution "How AI Changes Everything"· 2025년 5월 11일팟캐스트A Robot-Arm Shot That Took Months Now Lives in a Prompt진행자 Nathan LabenzLuma Labs’ Amit Jain and Jiaming Song on Ray 2, few-shot camera concepts, and why they think video models sit on the path to multimodal AGI.멀티모달과 미디어Generative mediaMultimodal AI+3
46:35EN
Sequoia Capital· 2024년 11월 13일팟캐스트They trained a real-time video model in 20 hours and skipped the game engineDecart CEO Dean Leitersdorf tells Sequoia how Oasis runs live on H100s, why ChatGPT is a fallen wall rather than a pain point, and why the next trillion-dollar company may be a generated experience.멀티모달과 미디어Generative media비전과 영상+3
54:45EN
Cognitive Revolution "How AI Changes Everything"· 2024년 10월 9일팟캐스트A Few Megabytes of Doom and a Few Gigabytes of Model: Why Runway Bets on Generalization진행자 Nathan LabenzCTO Anastasis Germanidis tells The Cognitive Revolution why video is a fuller record of the world than text, why physics shows up without being programmed in, and how a small lab competes with unlimited compute.멀티모달과 미디어비전과 영상Generative media+3
49:14EN
Sequoia Capital· 2024년 9월 17일팟캐스트Humanoid 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.에이전트RoboticsScaling Laws+3
1:54:17EN
Cognitive Revolution "How AI Changes Everything"· 2024년 8월 28일팟캐스트Metaculus Flagged Covid in January 2020. Now It Is Putting AI on the Forecasting Desk진행자 Nathan LabenzNathan Labenz talks with Metaculus CEO Deger Turan about epistemic security, a year-long bot tournament, and why a useful forecast is harder than an accurate one.평가와 관측 가능성평가(Evals)Benchmarks+3
1:43:47EN
Cognitive Revolution "How AI Changes Everything"· 2024년 7월 17일팟캐스트They want AI safety to quote failure odds the way civil engineers quote a bridge진행자 Nathan LabenzNora Ammann and Ben Goldhaber walk Nathan Labenz through Guaranteed Safe AI: world models, safety specs, verifiers, and why a chatbot’s good character is the wrong type for a dam.보안과 안전안전과 거버넌스World models+3
31:24EN
No Priors: AI, Machine Learning, Tech, & Startups· 2024년 4월 25일팟캐스트 · 2명Sora's Leads: A Minute of HD Video Is Just the GPT-1 of Video Models진행자 Sarah Guo, Elad GilAditya Ramesh, Tim Brooks, and Bill Peebles tell No Priors why text-to-video sits on the path to AGI, why they started from scratch instead of extending an image generator, and why they still have no product date.멀티모달과 미디어비전과 영상World models+3
2:47:17EN
Lex Fridman· 2024년 3월 7일팟캐스트 · 2명If You Want Human-Level AI, Abandon Generative Models게스트 Yann Lecun · 진행자 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.모델과 학습World modelsAGI(범용 인공지능)+3
40:58EN
No Priors: AI, Machine Learning, Tech, & Startups· 2024년 1월 25일팟캐스트 · 2명99% of Factory Robots Are Dumb. Covariant Wants the Smart Ones Working in Warehouses First진행자 Sarah Guo, Elad GilFormer OpenAI researcher Peter Chen explains why robot foundation models have to be trained on production floors, not in labs.모델과 학습RoboticsFoundation Models+3
2:45:10EN
Lex Fridman· 2022년 1월 22일팟캐스트 · 2명A Teenager Learns to Drive in Twenty Hours. A Car Still Cannot.게스트 Yann Lecun · 진행자 Lex FridmanYann LeCun tells Lex Fridman why self-supervised world models are the missing dark matter of intelligence, and why machines are not even at the level of a house cat.모델과 학습World modelsComputer Vision+3
2:10:06EN
Lex Fridman· 2020년 8월 14일팟캐스트 · 2명You Might Have to Understand the World to Understand the Letter A게스트 Dileep George · 진행자 Lex FridmanDileep George on recursive cortical networks, why a five-year-old can read any new CAPTCHA, and what the Wright brothers actually learned from birds.모델과 학습Neuroscience & AIWorld models+3
45:31EN
Lex Fridman· 2020년 7월 1일팟캐스트You Are Your Own Existence Proof: Karl Friston on Free Energy, Life, and Self-Awareness진행자 Lex FridmanKarl Friston explains how the free energy principle reframes existence, life, planning, and self-awareness as inference problems.PhilosophyNeuroscience & AI머신러닝 기초+3
1:45:49EN
Cognitive Revolution "How AI Changes Everything"팟캐스트Trust at Scale: Elicit's Founders on Reasoning Languages, World Models and Automating the Company진행자 Nathan LabenzAndreas Stuhlmüller and Jungwon Byun explain how Elicit keeps frontier models checkable for high-stakes science, and where they think AI reasoning is heading.에이전트World modelsReasoning & test-time compute+3
56:20EN
No Priors: AI, Machine Learning, Tech, & Startups팟캐스트 · 2명Biohub's Bet: Building Open AI World Models of Biology From Proteins Up to Cells진행자 Sarah Guo, Elad GilMark Zuckerberg, Priscilla Chan and Alex Rives explain why Biohub pairs a frontier AI lab with frontier wet-lab biology, and why it releases tools like ESMFold2 as open source.모델과 학습AI for scienceOpen-source ecosystems+3
1:03:59EN
Cognitive Revolution "How AI Changes Everything"팟캐스트Building a World Model of Life: Biohub's Alex Rives on Why Better Measurement Must Come Before Virtual Cells진행자 Nathan LabenzBiohub's head of science explains why today's virtual cell models fall short, how a $1.8 billion data push aims to fix it, and what a five-year information-level model of the cell could unlock.모델과 학습AI for scienceComputational Biology+3
1:03:24EN
Unsupervised Learning: With Jacob Effron팟캐스트Why Sora Bet on People, Not Just Pixels진행자 Jacob EffronThe Sora team explains how a video model became a social creation network, what cameos revealed about human creativity, and why the next frontier is world simulation.멀티모달과 미디어Generative media비전과 영상+3
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