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59:41EN
Unsupervised Learning: With Jacob Effron· 22 may 2026PódcastThe GPT moment for video hasn’t arrived, but AGI may already be herePresenta: 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.Modelos y entrenamientoWorld modelsReinforcement Learning+3
1:21:56EN
Unsupervised Learning: With Jacob Effron· 15 may 2026PódcastYann LeCun Left Meta Because LLMs Will Not Get You to IntelligencePresenta: 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.Modelos y entrenamientoWorld modelsAI research+3
1:19:10EN
Cognitive Revolution "How AI Changes Everything"· 11 may 2025PódcastA Robot-Arm Shot That Took Months Now Lives in a PromptPresenta: 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.Multimodal y mediosGenerative mediaMultimodal AI+3
54:45EN
Cognitive Revolution "How AI Changes Everything"· 9 oct 2024PódcastA Few Megabytes of Doom and a Few Gigabytes of Model: Why Runway Bets on GeneralizationPresenta: 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.Multimodal y mediosVisión y vídeoGenerative media+3
1:54:17EN
Cognitive Revolution "How AI Changes Everything"· 28 ago 2024PódcastMetaculus Flagged Covid in January 2020. Now It Is Putting AI on the Forecasting DeskPresenta: 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.Evaluaciones y observabilidadEvaluacionesBenchmarks+3
1:43:47EN
Cognitive Revolution "How AI Changes Everything"· 17 jul 2024PódcastThey want AI safety to quote failure odds the way civil engineers quote a bridgePresenta: 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.SeguridadSeguridad y gobernanzaWorld models+3
45:31EN
Lex Fridman· 1 jul 2020PódcastYou Are Your Own Existence Proof: Karl Friston on Free Energy, Life, and Self-AwarenessPresenta: Lex FridmanKarl Friston explains how the free energy principle reframes existence, life, planning, and self-awareness as inference problems.PhilosophyNeuroscience & AIFundamentos de ML+3
1:45:49EN
Cognitive Revolution "How AI Changes Everything"PódcastTrust at Scale: Elicit's Founders on Reasoning Languages, World Models and Automating the CompanyPresenta: 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.AgentesWorld modelsReasoning & test-time compute+3
1:03:59EN
Cognitive Revolution "How AI Changes Everything"PódcastBuilding a World Model of Life: Biohub's Alex Rives on Why Better Measurement Must Come Before Virtual CellsPresenta: 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.Modelos y entrenamientoAI for scienceComputational Biology+3
1:03:24EN
Unsupervised Learning: With Jacob EffronPódcastWhy Sora Bet on People, Not Just PixelsPresenta: 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.Multimodal y mediosGenerative mediaVisión y vídeo+3
1:13:40EN
Unsupervised Learning: With Jacob EffronPódcastThe Long Tail, the World Model, and the 1995 Problem: Inside Waymo's Scaling Phase and Robotics' Missing MomentPresenta: 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 PodcastPódcastFei-Fei Li on ImageNet, World Models and Why Everyone Has a Role in AIPresenta: 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.Modelos y entrenamientoWorld modelsVisión y vídeo+3