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13 件
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59:41EN
Unsupervised Learning: With Jacob Effron· 2026年5月22日ポッドキャストThe GPT moment for video hasn’t arrived, but AGI may already be hereホスト 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.モデルと学習World modelsReinforcement Learning+3
1:21:56EN
Unsupervised Learning: With Jacob Effron· 2026年5月15日ポッドキャストYann LeCun Left Meta Because LLMs Will Not Get You to Intelligenceホスト 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.モデルと学習World modelsAI research+3
1:19:10EN
Cognitive Revolution "How AI Changes Everything"· 2025年5月11日ポッドキャストA Robot-Arm Shot That Took Months Now Lives in a Promptホスト 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.マルチモーダルとメディアGenerative mediaMultimodal AI+3
54:45EN
Cognitive Revolution "How AI Changes Everything"· 2024年10月9日ポッドキャストA Few Megabytes of Doom and a Few Gigabytes of Model: Why Runway Bets on Generalizationホスト 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.マルチモーダルとメディア画像と動画Generative media+3
1:54:17EN
Cognitive Revolution "How AI Changes Everything"· 2024年8月28日ポッドキャストMetaculus Flagged Covid in January 2020. Now It Is Putting AI on the Forecasting Deskホスト 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.評価とオブザーバビリティ評価(Evals)Benchmarks+3
1:43:47EN
Cognitive Revolution "How AI Changes Everything"· 2024年7月17日ポッドキャストThey want AI safety to quote failure odds the way civil engineers quote a bridgeホスト 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.セキュリティと安全性安全性とガバナンスWorld models+3
45:31EN
Lex Fridman· 2020年7月1日ポッドキャストYou Are Your Own Existence Proof: Karl Friston on Free Energy, Life, and Self-Awarenessホスト Lex FridmanKarl Friston explains how the free energy principle reframes existence, life, planning, and self-awareness as inference problems.PhilosophyNeuroscience & AI機械学習の基礎+3
1:45:49EN
Cognitive Revolution "How AI Changes Everything"ポッドキャストTrust at Scale: Elicit's Founders on Reasoning Languages, World Models and Automating the Companyホスト 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.エージェントWorld modelsReasoning & test-time compute+3
1:03:59EN
Cognitive Revolution "How AI Changes Everything"ポッドキャストBuilding a World Model of Life: Biohub's Alex Rives on Why Better Measurement Must Come Before Virtual Cellsホスト 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.モデルと学習AI for scienceComputational Biology+3
1:03:24EN
Unsupervised Learning: With Jacob EffronポッドキャストWhy Sora Bet on People, Not Just Pixelsホスト 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.マルチモーダルとメディアGenerative media画像と動画+3
17:40EN
Lex FridmanポッドキャストFrom AlphaGo Zero to MuZero: How Self-Play Strips Knowledge Out of AIホスト 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.モデルと学習Reinforcement LearningAI research+3
1:13:40EN
Unsupervised Learning: With Jacob EffronポッドキャストThe Long Tail, the World Model, and the 1995 Problem: Inside Waymo's Scaling Phase and Robotics' Missing Momentホスト 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 PodcastポッドキャストFei-Fei Li on ImageNet, World Models and Why Everyone Has a Role in AIホスト 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.モデルと学習World models画像と動画+3