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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
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
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
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
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
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
17:40EN
Lex Fridman팟캐스트From AlphaGo Zero to MuZero: How Self-Play Strips Knowledge Out of AI진행자 Lex FridmanDeepMind's David Silver explains why removing human knowledge made AlphaZero stronger and more general, and how MuZero extended the idea to worlds with unknown rules.모델과 학습Reinforcement LearningAI research+3
1:13:40EN
Unsupervised Learning: With Jacob Effron팟캐스트The Long Tail, the World Model, and the 1995 Problem: Inside Waymo's Scaling Phase and Robotics' Missing Moment진행자 Jacob EffronVincent, a distinguished engineer at Waymo, explains how foundation models became teachers for self-driving, why the long tail and causality are the real frontier, and where robotics still lacks its generalist proof point.Autonomous DrivingRoboticsMultimodal AI+3
1:19:34EN
Lenny's Podcast팟캐스트Fei-Fei Li on ImageNet, World Models and Why Everyone Has a Role in AI진행자 Lenny RachitskyThe scientist often called the godmother of AI traces how big data sparked deep learning, explains why spatial intelligence is the next frontier, and shows what World Labs' first product, Marble, can do.모델과 학습World models비전과 영상+3