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37:00EN
Sequoia Capital· 2026年1月14日ポッドキャストThe AlphaChip Team That Laid Out Four TPUs Now Wants Every Company to Be DesignlessAnna Goldie and Azalia Mirhoseini tell Sequoia how an RL floorplanner survived TPU-team anger, learned to draw donut-shaped macros, and became a bet that AI will design chips that then feed AI.インフラとデプロイReinforcement LearningAI startups & small teams+3
44:49EN
Sequoia Capital· 2025年9月23日ポッドキャストCompanies Keep Asking for AI. Then They Send It Back.Agency founder Elias Torres on why businesses freeze at imperfect answers, and why his third startup aims for a billion in revenue with fewer than 100 people.企業と戦略エンタープライズ AICompany Building+3
39:06EN
Sequoia Capital· 2025年8月12日ポッドキャストHe Couldn't Ask His Grandfather What to Do, So He Built a Digital MindOn Sequoia's Training Data, Delphi founder Dara Ladjevardian explains how authorized digital minds turn people into conversational media without replacing them.プロダクトと UXCompany BuildingProduct Strategy+3
38:25EN
Sequoia Capital· 2025年5月27日ポッドキャストA thousand airplanes will never train an AI engineerFormer Airbus CTO Paul Eremenko explains why physical-world engineering still has no coding-AI moment, and how P-1 AI's agent Archie is supposed to get there anyway.エージェントエージェント工学Synthetic data+3
45:30EN
Sequoia Capital· 2025年4月22日ポッドキャストA $20,000 AI Agent Replacing a $90,000 SDR: Manny Medina on Pricing in the Agent EraA fully loaded human SDR costs $70,000 to $90,000 a year; one AI SDR pitch is $20,000 per agent for 80% of the work, plus a bonus when targets are hit.企業と戦略Pricing StrategyAI startups & small teams+3
1:04:52EN
Sequoia Capital· 2025年3月4日ポッドキャストThe Consumer Playbook That Put Medical AI in 100,000 Exam RoomsOpenEvidence CEO Daniel Nadler explains how a free App Store product, trained only on peer-reviewed literature, reached as much as a quarter of U.S. physicians in a year.企業と戦略AI in healthcareProduct-Led Growth+3
1:03:07EN
Sequoia Capital· 2024年11月26日ポッドキャストReasoning Hasn't Budged in Two Years. Dust Still Saved a Customer 8,000 HoursDust co-founders Gabriel Hubert and Stanislas Polu on multi-model agents, refusing to buy GPUs before product-market fit, and the jump from calculator tools to stochastic ones.エージェントエージェント工学エンタープライズ AI+3
51:15EN
Sequoia Capital· 2024年9月10日ポッドキャストAGI Has One Problem Left: Spend a Million Times More on a TokenMagic founder Eric Steinberger tells Sequoia’s Training Data why he trains his own models, why a software engineer is the MVP of AGI, and why 96% still is not a colleague.コーディングエージェントAGI(汎用人工知能)Reasoning & test-time compute+3
50:33EN
Sequoia Capital· 2024年8月20日ポッドキャストThe 40% data-center save started with an email that ended in a question markPhaidra founder Jim Gao tells Sequoia how an AlphaGo-inspired bet at Google became reinforcement learning that runs billion-dollar plants.インフラとデプロイReinforcement LearningData quality & curation+3
1:07:34EN
Sequoia Capital· 2024年8月6日ポッドキャストGitHub Didn’t Believe Copilot Was Writing 25% of the CodeThomas Dohmke tells Sequoia how an unplanned GPT-3 experiment became Copilot, why GitHub still will not train its own foundation model, and how he wants a billion people writing software by 2030.コーディングエージェントCompany BuildingDeveloper productivity+3