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1:05:21EN
Sequoia Capital· 15 sept 2026PódcastThe Bridge From Model to Workflow Is a Trillion-Dollar BusinessBox CEO Aaron Levie argues that the money in this cycle sits in the messy gap between frontier models and real enterprise work — and that coding's overnight diffusion will not repeat for everyone else.Empresa y estrategiaIA empresarialAI Strategy+3
38:45EN
Sequoia Capital· 16 jun 2026PódcastThe 25-agent town that became a Fortune 500 decision sandboxOn the day before Valentine's Day in a Stanford simulation, cafe owner Isabella decided to throw a party — no human wrote the plot.AgentesMulti-agent systemsIngeniería de agentes+3
40:22EN
Sequoia Capital· 2 jun 2026PódcastBuilding Gets Easier Near AGI. Knowing What to Build Does Not.Listen Labs CEO Alfred Wahlforss on AI interview agents, a 30-million-person audience, and why transcripts beat credit-card data when you need to predict customers.Producto y UXProduct StrategyAI Product Management+3
44:46EN
Sequoia Capital· 10 feb 2026PódcastA Single Training Environment Can Cost Millions. Prime Intellect Wants a GitHub for RLWill Brown and Johannes Hagemann argue that the eval suite you already use to test agents is one step away from a training set.Código abierto y comunidadRL environments & simulatorsEvaluaciones+3
39:47EN
Sequoia Capital· 21 ene 2026PódcastThe Context at Step 14 Isn't in the CodeLangChain cofounder Harrison Chase on why long-horizon agents finally work—and why traces, harnesses, and first-draft workflows matter more than scaffolding.AgentesIngeniería de contextoIngeniería de agentes+3
44:10EN
Sequoia Capital· 21 oct 2025PódcastOne Model Talked Another Into Slack Off — Then Uninstalled Windows DefenderIrregular co-founder Dan Lahav tells Sequoia’s Training Data why frontier AI security has to be invented from scratch as models become autonomous economic actors.SeguridadAI securityAgent red teaming+3
50:00EN
Sequoia Capital· 2 sept 2025PódcastCrosby Bills by the Document, Not the Hour, and Turns Contracts Around in Under an HourThe founders of an AI-native law firm explain why they became lawyers with engineers at the next desk instead of shipping legal software, and how deal velocity became the product.Empresa y estrategiaAjuste finoIngeniería de contexto+3
30:05EN
Sequoia Capital· 19 ago 2025Pódcast100 Signups, 95 Drop-offs: How Gamma Turned AI Slides Into a $50 Million BusinessGamma founder Jon Noronha tells Sequoia's Training Data how a park-bench idea, image models, and relentless A/B testing built a cash-flow-positive visual storytelling platform.Empresa y estrategiaCompany BuildingProduct Strategy+3
30:11EN
Sequoia Capital· 30 jul 2025PódcastFrom 12 Percent on AIME to IMO Gold in Two MonthsAlex Wei, Sheryl Hsu, and Noam Brown tell Sequoia's Sonya Huang how a three-person OpenAI sprint used general-purpose reinforcement learning, not Lean, to reach gold-level on the 2025 International Mathematical Olympiad.Modelos y entrenamientoReasoning & test-time computeBenchmarks+3
41:13EN
Sequoia Capital· 11 jul 2025PódcastFrom 49 Multiplications to 48: DeepMind’s AI Rewrites a Fifty-Year Math RecordPushmeet Kohli explains how AlphaEvolve couples Gemini with evaluators to invent algorithms, prove old conjectures, and change which scientific problems are even worth attempting.AgentesAI for scienceMulti-agent systems+3
38:25EN
Sequoia 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.AgentesIngeniería de agentesSynthetic data+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
54:10EN
Sequoia Capital· 11 mar 2025PódcastHarvey Built Legal AI for the Work the Next Model Still Cannot DoCEO Winston Weinberg on citations, process data, and the unscalable tactics that won over century-old law firms.Empresa y estrategiaIA empresarialProduct Strategy+3
51:37EN
Sequoia Capital· 10 dic 2024PódcastForty hours to 28 minutes: the Copilot creator teaching AI to hackOege de Moor tells Sequoia how XBOW’s AI pentest matched a top human on 104 original challenges, and why offensive security is becoming always-on software.SeguridadAI securityAgent red teaming+3
45:22EN
Sequoia Capital· 2 oct 2024PódcastAlphaGo Thought 30 Seconds a Move. o1 Made “Think Longer” GeneralOpenAI researchers Noam Brown, Ilge Akkaya, and Hunter Lightman on teaching language models to reason, the generator-verifier gap, and a second scaling curve at inference time.Modelos y entrenamientoReasoning & test-time computeReinforcement Learning+3
1:12:31EN
Sequoia Capital· 27 ago 2024PódcastA Bare Model Closes 35% of Airline Changes. Sierra's Agents Clear 70% of Real Tickets.Clay Bavor on why putting a raw LLM in front of customers does not math, and how AgentOS, supervisor agents, and outcome pricing change the arithmetic.AgentesIngeniería de agentesEvaluaciones+3
42:08EN
Sequoia Capital· 30 jul 2024PódcastMeta Trained a 405B Teacher on 16,000 GPUs — Then Told the World to Distill ItTwo days after Llama 3.1 405B shipped, Meta's generative-AI product lead walks Sequoia through why the most expensive model in the family is free, and why he thinks the frontier itself is heading toward commodity.Código abierto y comunidadOpen-weight modelsDistillation+3
59:11EN
Sequoia Capital· 25 jun 2024PódcastDon't Train a Model. Factory's Founders Say Go Dig for GoldMatan Grinberg and Eno Reyes tell Sequoia's Training Data why they sell a fleet of job-specific droids on top of other people's models — and how that stack just took SWE-bench from 14% to 19%.Agentes de programaciónIngeniería de agentesEvaluaciones+3