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34:48ENZach Lloyd on the Infrastructure Behind a Software FactoryInvité : Zach Lloyd · Anime : Shawn Wang (swyx)Warp’s founder explains how teams can define, observe and improve agentic development workflows—and when the additional infrastructure may be excessive.
15:50ENTheo Compares Codex and Claude Subscription Value After Limit ChangesTheoTheo looks at estimated allowances, per-task costs and his own review experiments, while arguing that model quality remains decisive.
48:08ENAndrew Huberman on Building a Sustainable Routine for Focus and HealthDaisy Wolf, Andrew Huberman · a16zThe neuroscientist describes his daily routine, his struggle with social media, and how he protects the hours when he does his best work.
1:53:06ENLindsay Owens on Price Experiments, Consumer Data and the Fight for Fair PricesInvité : Lindsay Owens · Anime : Theo VonThe consumer advocate explains her investigations into changing prices and data-driven commerce, and what shoppers and lawmakers can do.
16:29ENWhy Retrieval Quality Matters for AI Agents Working with Large Document CollectionsAamir Shakir · MixedbreadMixedbread’s Aamir Shakir critiques a multi-stage retrieval pipeline and presents a customer case and multimodal search demo.
42:30ENInside Figma’s PM OS: Ezra Mechaber on Skills, Bug Bashes and Automated ExperimentsInvité : Ezra Mechaber · Anime : Claire VoFigma growth PM Ezra Mechaber shows Claire Vo how a shared repository supports product work, browser testing and a human-reviewed experiment loop.
1:37:08ENJoscha Bach on Consciousness, Causal Patterns and Machine MindsInvité : Joscha Bach · Anime : Tim ScarfeA discussion of a speculative machine-consciousness hypothesis, the limits of behavioral tests and competing accounts of mind.
16:46ENTheo Browne on Claude Ultra, Five-Hour Limits and SDK UsageTheo Browne · Ping LabsA breakdown of the renamed subscription tier, verification and reported differences between interactive and SDK usage.
1:43:15ENJoe Hudson on Decisions, Fear and Living by Your PrinciplesInvité : Joe Hudson · Anime : Chris WilliamsonCoach Joe Hudson joins Chris Williamson to explore indecision, emotional avoidance, personal principles and the value of learning through action.
15:51ENAdam Nahari: Six Moves to Turn AI Pilots Into Financial ImpactAdam Nahari · ApolloAn airline crew-scheduling example shows why financial outcomes depend on workflow redesign, adoption and disciplined measurement.
1:01:08ENNebius CTO Danila Shtan on AI Clouds, Inference and Competition with HyperscalersInvité : Danila Shtan · Anime : Jacob EffronDanila Shtan tells Jacob Effron how Nebius builds AI infrastructure, where inference remains inefficient and why he expects larger clouds to compete more aggressively.
44:57ENTutor Intelligence CEO Josh Gruenstein on Building Robots for Real WorkInvité : Josh Gruenstein · Anime : Martin Casado, Raghu RaghuramJosh Gruenstein joins Martin Casado and Raghu Raghuram to discuss human tutors, robot manufacturing and the economics of factory automation.
40:04ENSophia Drossopoulou: Verifying Trusted Code in an Open WorldSophia Drossopoulou · Imperial College LondonCapabilities, scoped invariants and explicit trust assumptions help reason about effects when trusted code calls unknown objects.
51:06ENKent Beck: Build AI Programming Tools for Human NeedsKent BeckThe “genie” can amplify healthy or unhealthy development practices. Beck calls for tools that preserve learning, connection and future options.
1:07:22ENBuilding Legal AI Agents Without Seeing Client Data: Legora's Jacob LauritzenInvité : Jacob Lauritzen · Anime : swyx, Basil ChathaLegora's CTO explains how its team evaluates legal agents, designs review workflows and builds around the confidentiality of client matters.
20:39ENSagar Batchu: Authorizing AI Agent Actions Before They Reach an APISagar Batchu · SpeakeasyA proposed governance path combines agent identity, permission ceilings, policy decisions and audit records.
20:15ENWill Brown on Training Models That Learn From Organizational WorkWill Brown · Prime IntellectPrime Intellect’s Will Brown describes how traces, evaluations and human decisions could support continual learning alongside frontier models.
18:33ENZack Proser: Build a Factory to Help Others Tell Their StoriesZack Proser · WorkOSA WorkOS blog assistant and a bedtime-story app show how AI tools can share expertise while humans retain responsibility.
1:02:12ENModal CEO Erik Bernhardsson on Inference, Compute and Building an AI PlatformInvité : Erik Bernhardsson · Anime : Harry StebbingsErik Bernhardsson discusses GPU capacity, open models, sandbox growth and why Modal is expanding beyond a single infrastructure product.
1:32:16ZHMaxInsights 袁宇光:如何生产机器人第一视角训练数据Invité : 袁宇光 · Anime : 陈茜从头戴设备、全球采集网络到模型评估与部署,袁宇光解释机器人数据生意的扩张及质量挑战。
27:55ENAI Safety, Model Releases and the Limits of UnderstandingAI Explained examines lab forecasts, safety commitments and competing model results, then argues for multiple safeguards as capabilities advance.
18:57ENAndrew Norrish: Code Context for AI-Era Incident ResponseAndrew Norrish · SourcegraphA Sourcegraph engineer describes review pressure and bounded workflows for investigating, preventing and fixing incidents.
15:44ENYijia Liang on Building Office-Compatible Engines for Finance AgentsYijia Liang · Compound AICompound’s approach combines shared agent inboxes, document engines and cited access to large data rooms.
16:37ENNick Nisi: What a Fruit Fly Code Reviewer Reveals About Human ReviewNick Nisi · WorkOSA simulated fruit fly becomes an unlikely code reviewer—and a starting point for a team-owned automated review pipeline.
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