絞り込み結果
30 件並び順
53:44EN
Sequoia Capital· 2026年8月18日ポッドキャストThe 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.
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.
1:21:56ENUnsupervised 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.
2:06:16ZH
Zhang Xiaojun Podcast· 2025年11月28日ポッドキャスト · 2 人谭捷：机器人通用智能的瓶颈在数据，通用形态仍需时间ゲスト 谭捷 · ホスト 张小珺Google DeepMind 机器人研究科学家谭捷回顾了从计算机图形学到机器人、从强化学习到 Gemini Robotics 的研究路径。他认为机器人基础模型尚未成为独立学科，数据规模与覆盖度、跨本体迁移、实时推理和安全仍是走向真实应用的关键。
41:36ENSequoia Capital· 2025年11月18日ポッドキャストFour 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.
1:00:26ENSequoia Capital· 2025年11月6日ポッドキャストSeven 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.
43:09ENSequoia Capital· 2025年9月9日ポッドキャストA $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.
2:28:14EN
Lex Fridman· 2025年7月23日ポッドキャスト · 2 人Nature Has Structure: Demis Hassabis on Learnable Reality and AGIゲスト Demis Hassabis · ホスト 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.
35:47EN
No Priors: AI, Machine Learning, Tech, & Startups· 2025年6月5日ポッドキャスト · 2 人Fei-Fei Li’s new bet: AI is incomplete without spatial intelligenceホスト 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.
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.
2:29:41ZHZhang Xiaojun Podcast· 2025年4月7日ポッドキャスト · 4 人陈建宇：机器人基座模型如何走向通用 VLAゲスト 陈建宇 · ホスト 张小珺从 SayCan、RT-2 到 Diffusion Policy，清华助理教授、星动纪元创始人陈建宇梳理机器人模型从借用语言模型到端到端 VLA 的路线。关键难题仍是多样化数据、跨本体泛化和高频动作控制。
46:35ENSequoia Capital· 2024年11月13日ポッドキャストThey 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.
54:45ENCognitive 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.
49:14ENSequoia Capital· 2024年9月17日ポッドキャストHumanoid 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.
1:54:17ENCognitive 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.
1:43:47ENCognitive 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.
31:24ENNo Priors: AI, Machine Learning, Tech, & Startups· 2024年4月25日ポッドキャスト · 2 人Sora's Leads: A Minute of HD Video Is Just the GPT-1 of Video Modelsホスト 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.
2:47:17ENLex Fridman· 2024年3月7日ポッドキャスト · 2 人If You Want Human-Level AI, Abandon Generative Modelsゲスト Yann Lecun · ホスト 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.
40:58ENNo Priors: AI, Machine Learning, Tech, & Startups· 2024年1月25日ポッドキャスト · 2 人99% of Factory Robots Are Dumb. Covariant Wants the Smart Ones Working in Warehouses Firstホスト Sarah Guo, Elad GilFormer OpenAI researcher Peter Chen explains why robot foundation models have to be trained on production floors, not in labs.
2:45:10ENLex Fridman· 2022年1月22日ポッドキャスト · 2 人A Teenager Learns to Drive in Twenty Hours. A Car Still Cannot.ゲスト Yann Lecun · ホスト 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.
2:10:06ENLex Fridman· 2020年8月14日ポッドキャスト · 2 人You Might Have to Understand the World to Understand the Letter Aゲスト Dileep George · ホスト 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.
45:31ENLex 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.
1:45:49ENCognitive 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.
56:20ENNo Priors: AI, Machine Learning, Tech, & Startupsポッドキャスト · 2 人Biohub's Bet: Building Open AI World Models of Biology From Proteins Up to Cellsホスト 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.もっと見る30 件中 24 件を表示