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52:27EN
Sequoia Capital· 1 sept. 2026PodcastAfter Two Dozen Police Departments Said No, They Built an Anti-Network-Effect AI CompanyA Wisconsin county had 300 gigabytes sitting on a cold case—and Peregrine's founders still refuse to take the credit.SécuritéForward-deployed engineeringCompany Building+3
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No Priors: AI, Machine Learning, Tech, & Startups· 27 août 2026Podcast · 2 voixGoogle Paid $10 Million for a Bankrupt Airline’s Data. That’s the Moat.Anime : Sarah Guo, Elad GilEon co-founders Ofir Ehrlich and Gonen Stein argue that models and compute are rented commodities — the only asset enterprises can actually keep is their data.Entreprise et stratégieInfrastructure et déploiementData quality & curation+3
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20VC with Harry Stebbings· 1 août 2026Podcast · 2 voixJoon Sung Park on Simulating Human Behavior and Building SimileInvité : Joon Sung Park · Anime : Harry StebbingsThe Simile co-founder explains his research on generative agents, the challenges of validating simulations, and his ambitions for a business built around modeling people.Multi-agent systemsAI agentsData quality & curation+2
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20VC with Harry Stebbings· 25 juil. 2026Podcast · 2 voixMercor’s Osvald Nitski on AI Training Data, Product and Customer ConcentrationInvité : Osvald Nitski · Anime : Harry StebbingsMercor’s head of product discusses how the company supplies expert data to AI labs, designs its marketplace and plans to reach more enterprise customers.Data quality & curationProduct ManagementIA en entreprise+2
1:34:29EN
JSJane Street· 24 juin 2026Jacob Baskin on Building Superstore and Scheduling the HiveYaron Minsky, Jacob Baskin · Jane StreetThe Jane Street engineer traces the design choices behind a distributed analytical database and the challenge of allocating a growing research cluster.Infrastructure et déploiementSoftware engineeringDecision Making+1
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20VC with Harry Stebbings· 1 juin 2026Podcast · 2 voixBrendan Foody on Mercor, AI Data and the Future of WorkInvité : Brendan Foody · Anime : Harry StebbingsThe Mercor CEO discusses a security incident, data-provider economics, enterprise agents and the uncertain effects of AI on employment.AI AdoptionFuture of WorkAI cost & performance+2
40:56EN
Sequoia Capital· 10 mars 2026PodcastFour of the Top Five Defense Primes Still Run Hardware Tests on PowerPointNominal’s cofounders argue that hardware never got the last twenty years of software infrastructure, and that physical AI will stall until test data lives in one place.Infrastructure et déploiementData quality & curationObservabilité et fiabilité+3
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Cognitive Revolution "How AI Changes Everything"· 1 févr. 2026Podcast125 million cells took a decade. The next billion takes monthsAnime : Nathan LabenzMark Zuckerberg and Priscilla Chan on pairing a frontier biology lab with a frontier AI lab so models train on data that was designed for them.Modèles et entraînementAI for scienceData quality & curation+3
1:18:05EN
Unsupervised Learning: With Jacob Effron· 18 déc. 2025PodcastThe Real Bottleneck in AI Research Is Compute, Not IdeasAnime : Jacob EffronAfter NeurIPS, Ari Morcos and Rob Toews sit down with Jacob Effron to argue about plateauing models, SSI’s secrecy, OpenAI’s cash burn, and a set of spicy 2026 bets.Entreprise et stratégieAI StrategyScaling Laws+3
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Unsupervised Learning: With Jacob Effron· 15 déc. 2025PodcastA Two-Second Vote Is Training Models to Be ClickbaitAnime : Jacob EffronSurge AI CEO Edwin Chen tells Redpoint why LMArena rewards length and emojis, how one lab's models got worse for a year, and why frontier labs are no longer on the same path.Évaluations et observabilitéRL environments & simulatorsData quality & curation+3
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Cognitive Revolution "How AI Changes Everything"· 6 déc. 2025PodcastPolish Is 1% of Frontier Training Data, So Poland Built Its Own ModelAnime : Nathan LabenzMarek Kozlowski of Poland's National Information Processing Institute explains how PLLuM uses language adaptation, organic instructions, and on-prem small models to keep a mid-size country in control of its AI.Entreprise et stratégieOpen-weight modelsData quality & curation+3
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No Priors: AI, Machine Learning, Tech, & Startups· 19 nov. 2025Podcast · 2 voix500 Gloves, 10 Million Trajectories, and a $10,000 Home RobotAnime : Sarah Guo, Elad GilSunday Robotics co-founders Tony Zhao and Cheng Chi map the gap between a scalable imitation-learning recipe and a machine that actually does the dishes.RoboticsData quality & curationScaling Laws+3
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Sequoia Capital· 18 nov. 2025PodcastFour Months to Drive Tokyo: How Wayve Bet the Company on One End-to-End NetworkWayve CEO Alex Kendall tells Sequoia’s Training Data why AV 2.0 ditches HD maps and hand-written stacks for a foundation model that can adapt to a new car and a new country in weeks.Modèles et entraînementAutonomous DrivingWorld models+3
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No Priors: AI, Machine Learning, Tech, & Startups· 13 nov. 2025Podcast · 2 voixA New Drug Burns $2 Billion and 10 Years. Benchling's CEO Wants AI to Cut That to ThreeAnime : Sarah Guo, Elad GilMost medicines fail in years seven to ten, after hundreds of millions have already gone into the clinic—and Sajith Wickramasekara thinks sending things to space may already be easier.AgentsAI for scienceAI in healthcare+3
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Unsupervised Learning: With Jacob Effron· 24 oct. 2025PodcastKarpathy Called Today's Models Slop. His Decade Timeline Still Sounds BullishAnime : Jacob EffronDatology AI's Ari Morcos and Radical Ventures' Rob Toews walk through Karpathy's cold water, OpenAI's dealmaking, and who actually pays for the data-center boom.Entreprise et stratégieAI StrategyCompany Building+3
1:01:49EN
Cognitive Revolution "How AI Changes Everything"· 2 oct. 2025PodcastChatGPT's Co-Creator Left to Put Nature in the Reward LoopAnime : Nathan LabenzLiam Fedus and Ekin Dogus Cubuk on why language models still fail at physics, why literature data is too noisy to train on, and why Periodic Labs is aiming at a 200K superconductor.Modèles et entraînementAI for scienceReinforcement Learning+3
1:22:07EN
Cognitive Revolution "How AI Changes Everything"· 25 sept. 2025PodcastEvery payment is a frame in a movie. Stripe’s foundation model took card-testing detection from 59% to 97%Anime : Nathan LabenzEmily Sands, Stripe’s head of data and AI, explains how a domain-specific payments model, shared embeddings, and mixed rules turn a $1.4 trillion network into compounding advantage.Modèles et entraînementIA en financeEmbeddings+3
1:55:02EN
Cognitive Revolution "How AI Changes Everything"· 30 août 2025PodcastA hundred experiments a day, and the valley of death in materialsAnime : Nathan LabenzRadical AI’s co-founders tell Nathan Labenz how a closed loop of frontier models and a self-driving lab is meant to collapse a forty-year materials cycle into less than a decade.AgentsAI for scienceAutonomous Systems+3
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Unsupervised Learning: With Jacob Effron· 13 août 2025PodcastThey Aimed for 1%. The Lab Hit 20%. Chai Discovery Moved Antibody Design Onto the Computer.Anime : Jacob EffronJoshua Meier on three waves of AI drug discovery, why Chai-2 behaves like Photoshop for molecules, and why a 1% hit rate was supposed to be enough to change the industry.Modèles et entraînementAI for scienceComputational Biology+3
32:59EN
No Priors: AI, Machine Learning, Tech, & Startups· 24 juil. 2025Podcast · 2 voixA Hundred People, a Billion in Revenue, and Zero Venture MoneyAnime : Sarah Guo, Elad GilSurge AI founder Edwin Chen on why quality human data is a poetry problem, not a bounding-box problem, and why leaderboards keep training models to write clickbait.Évaluations et observabilitéData quality & curationValidation avec humain dans la boucle+3
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Cognitive Revolution "How AI Changes Everything"· 8 juil. 2025PodcastEvery Frontier Lab Is Spending a Billion a Year on Data. Here Is Where It GoesAnime : Nathan LabenzLabelbox CEO Manu Sharma on the $15 billion Scale deal, RL “gyms,” $250,000 trainers, and why post-training now eats the budget that used to belong to pre-training.Modèles et entraînementPost-trainingData quality & curation+3
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Unsupervised Learning: With Jacob Effron· 4 juin 2025PodcastMercor's CEO: Knowledge Work's Next Job Is Writing EvalsAnime : Jacob EffronBrendan Foody tells Redpoint how Mercor turned AI hiring and expert data into a $100 million round — and why he thinks a huge slice of white-collar work will become creating tests for models.Évaluations et observabilitéÉvaluationsData quality & curation+3
40:54EN
No Priors: AI, Machine Learning, Tech, & Startups· 17 avr. 2025Podcast · 2 voixDiscovery rates collapsed tenfold. KoBold still found a 5% copper depositAnime : Sarah Guo, Elad GilJosh Goldman explains why KoBold Metals treats mineral exploration as an information problem, pairing AI with century-old maps to hunt lithium and copper.Entreprise et stratégieAI for scienceData quality & curation+3
1:43:54EN
Cognitive Revolution "How AI Changes Everything"· 23 mars 2025PodcastA Year to Grow a Brain Organoid, an Hour to Simulate ItAnime : Nathan LabenzStanford postdoc Siyu He tells Nathan Labenz how Squidiff and CORAL move single-cell and spatial experiments into the computer — and where the models still cannot go.Modèles et entraînementAI for scienceComputational Biology+3
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