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1:01:38EN
Sequoia Capital· 2026년 1월 6일팟캐스트13-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.모델과 학습RoboticsReinforcement Learning+3
59:43EN
Sequoia Capital· 2025년 9월 30일팟캐스트Goose is writing its own pull requests: how Block is trying to save a quarter of the weekCTO Dhanji Prasanna tells Sequoia how an open-source agent, a functional reorg, and a weekly hours-saved metric are turning Block into an AI-first company.기업과 전략엔터프라이즈 AI에이전트 엔지니어링+3
43:09EN
Sequoia Capital· 2025년 9월 9일팟캐스트A $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.오픈소스와 커뮤니티RoboticsOpen-source ecosystems+2
35:45EN
Sequoia Capital· 2025년 8월 26일팟캐스트Six Years of Revenue, Then Four Times That in Eight Monthsn8n CEO Jan Oberhauser tells Sequoia how two bets — becoming an AI-agent builder, then deleting the leads metric — turned a workflow tool into a default orchestration layer.에이전트Company BuildingWorkflow automation+3
58:11EN
Sequoia Capital· 2025년 4월 15일팟캐스트Patrick Hsu Wants an App Store for Biology, Not Just Better DrugsThe Arc Institute co-founder argues that Evo 2, trained on genomes rather than proteins, should underpin tools for every step of the scientific method.모델과 학습AI for sciencePretraining & midtraining+3
1:00:05EN
Sequoia Capital· 2025년 1월 14일팟캐스트If Someone Builds a Better Spark Product, We Deserve to LoseIon Stoica on how Databricks turned academic open source into a data-and-AI company — and which problems he thinks will matter more tomorrow than today.기업과 전략Company BuildingOpen-source ecosystems+3