絞り込み結果
7 件並び順
40:46EN
No Priors: AI, Machine Learning, Tech, & Startups· 2025年12月19日ポッドキャスト · 2 人Doctors Are Rushing to AI. Robotics Will Take a Beating First.ホスト Sarah Guo, Elad GilSarah Guo and Elad Gil’s 2026 forecast for foundation models, IPOs, robotics, consumer agents, and the bets that are not about AI at all.
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。
1:22:07EN
Cognitive Revolution "How AI Changes Everything"· 2025年9月25日ポッドキャストEvery payment is a frame in a movie. Stripe’s foundation model took card-testing detection from 59% to 97%ホスト Nathan LabenzEmily Sands, Stripe’s head of data and AI, explains how a domain-specific payments model, shared embeddings, and mixed rules turn a $1.4 trillion network into compounding advantage.
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.
53:37ENNo Priors: AI, Machine Learning, Tech, & Startups· 2023年3月9日ポッドキャスト · 2 人30 models, 42 scenarios, 7 metrics: Percy Liang's public checkup for language modelsホスト Sarah Guo, Elad GilA PubMed-only model once led the U.S. medical licensing exam — until a system roughly 200 times larger overtook it.
1:19:50EN
Lenny's PodcastポッドキャストIt's 1997 for AI: Benedict Evans on Why It's a Huge Deal, but Only as Big as the Internetホスト Lenny RachitskyAnalyst Benedict Evans explains why he thinks AI is as big as the internet or mobile and no bigger, and what that means for jobs, model companies, distribution and the backlash.
1:48:13ENCognitive Revolution "How AI Changes Everything"ポッドキャストRobotics Hits Its GPT-3.5 Moment: Inside Gemini Robotics, From Embodied Reasoning to Origamiホスト Nathan LabenzGoogle DeepMind researchers Keerthana Gopalakrishnan and Ted Xiao explain how Gemini Robotics works, what it can and cannot do, and where the field goes next.