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1:01:38EN
Sequoia Capital· 2026年1月6日播客13-Hour Coffee and 2x Throughput: Physical Intelligence Crosses the Deployment LineKarol Hausman and Tobi Springenberg tell Sequoia’s Training Data how a general robot brain, plus real-world RL, turned coffee, laundry, and chocolate boxes into jobs that actually run.模型与训练RoboticsReinforcement Learning+3
43:38EN
Sequoia Capital· 2025年11月11日播客A 2 A.M. Codename and a Face That Finally Looked Like YouGoogle's product and model leads walk Sequoia through how Nano Banana made single-photo character consistency feel real — and why fun, craft, and human evals did as much work as scale.多模态与媒体Generative mediaMultimodal AI+3
1:00:26EN
Sequoia Capital· 2025年11月6日播客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.多模态与媒体Generative media视觉与视频+3
53:51EN
Sequoia Capital· 2025年6月3日播客Veo 3 Took First Place by Beating Veo 2. Google Labs Says Chapter Two Just StartedThree Google Labs leads walk through generative cameras, background computer-use agents, and notebooks that adapt knowledge for an audience of one.多模态与媒体视觉与视频Generative media+3
45:12EN
Sequoia Capital播客Inside a Robot Data Factory: How Mecka Sensorizes Humans to Train RobotsMecka AI founder Josh Gao explains how a company collects, quality-checks and licenses egocentric human data, and why robotics will arrive as a steady unlock of tasks rather than a single breakthrough.模型与训练RoboticsData quality & curation+2