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Sequoia Capital· 14 ene 2026PódcastThe 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.
44:49ENSequoia Capital· 23 sept 2025PódcastCompanies 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.
39:06ENSequoia Capital· 12 ago 2025PódcastHe 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.
38:25ENSequoia Capital· 27 may 2025PódcastA 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.
45:30ENSequoia Capital· 22 abr 2025PódcastA $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.
1:04:52ENSequoia Capital· 4 mar 2025PódcastThe 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.
1:03:07ENSequoia Capital· 26 nov 2024PódcastReasoning 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.
51:15ENSequoia Capital· 10 sept 2024PódcastAGI 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.
50:33ENSequoia Capital· 20 ago 2024PódcastThe 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.
1:07:34ENSequoia Capital· 6 ago 2024PódcastGitHub 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.