絞り込み結果
10 件並び順
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。
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.
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.
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.
43:44ENNo Priors: AI, Machine Learning, Tech, & Startupsポッドキャスト · 2 人Roblox's 20-Year Bet: Building the Holodeck with Native AI Modelsホスト Sarah Guo, Elad GilRoblox CEO Dave Baszucki explains how 13 billion monthly hours of 3D interaction data could power smarter NPCs, virtual doppelgängers and a cloud-native future for games.