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1:01:38EN
Sequoia Capital· 6 ene 2026Pódcast13-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.Modelos y entrenamientoRoboticsReinforcement Learning+3
59:43EN
Sequoia Capital· 30 sept 2025PódcastGoose 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.Empresa y estrategiaIA empresarialIngeniería de agentes+3
43:09EN
Sequoia Capital· 9 sept 2025PódcastA $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.Código abierto y comunidadRoboticsOpen-source ecosystems+2
35:45EN
Sequoia Capital· 26 ago 2025PódcastSix 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.AgentesCompany BuildingWorkflow automation+3
58:11EN
Sequoia Capital· 15 abr 2025PódcastPatrick 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.Modelos y entrenamientoAI for sciencePretraining & midtraining+3
1:00:05EN
Sequoia Capital· 14 ene 2025PódcastIf 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.Empresa y estrategiaCompany BuildingOpen-source ecosystems+3