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1:05:21EN
Sequoia Capital· Sep 15, 2026PodcastThe 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.Enterprise & strategyEnterprise AIAI Strategy+3
38:45EN
Sequoia Capital· Jun 16, 2026PodcastThe 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.AgentsMulti-agent systemsAgent engineering+3
40:22EN
Sequoia Capital· Jun 2, 2026PodcastBuilding 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.Product & UXProduct StrategyAI Product Management+3
44:46EN
Sequoia Capital· Feb 10, 2026PodcastA 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.Open source & communityRL environments & simulatorsEvals+3
39:47EN
Sequoia Capital· Jan 21, 2026PodcastThe 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.AgentsContext engineeringAgent engineering+3
44:10EN
Sequoia Capital· Oct 21, 2025PodcastOne 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.Security & safetyAI securityAgent red teaming+3
50:00EN
Sequoia Capital· Sep 2, 2025PodcastCrosby 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.Enterprise & strategyFine-tuningContext engineering+3
30:05EN
Sequoia Capital· Aug 19, 2025Podcast100 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.Enterprise & strategyCompany BuildingProduct Strategy+3
30:11EN
Sequoia Capital· Jul 30, 2025PodcastFrom 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.Models & trainingReasoning & test-time computeBenchmarks+3
41:13EN
Sequoia Capital· Jul 11, 2025PodcastFrom 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.AgentsAI for scienceMulti-agent systems+3
38:25EN
Sequoia Capital· May 27, 2025PodcastA 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.AgentsAgent engineeringSynthetic data+3
58:11EN
Sequoia Capital· Apr 15, 2025PodcastPatrick 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.Models & trainingAI for sciencePretraining & midtraining+3
54:10EN
Sequoia Capital· Mar 11, 2025PodcastHarvey 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.Enterprise & strategyEnterprise AIProduct Strategy+3
51:37EN
Sequoia Capital· Dec 10, 2024PodcastForty 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.Security & safetyAI securityAgent red teaming+3
45:22EN
Sequoia Capital· Oct 2, 2024PodcastAlphaGo 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.Models & trainingReasoning & test-time computeReinforcement Learning+3
1:12:31EN
Sequoia Capital· Aug 27, 2024PodcastA 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.AgentsAgent engineeringEvals+3
42:08EN
Sequoia Capital· Jul 30, 2024PodcastMeta 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.Open source & communityOpen-weight modelsDistillation+3
59:11EN
Sequoia Capital· Jun 25, 2024PodcastDon'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%.Coding agentsAgent engineeringEvals+3