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44:57ENTutor Intelligence CEO Josh Gruenstein on Building Robots for Real WorkGuest Josh Gruenstein · Host 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 LauritzenGuest Jacob Lauritzen · Host 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 PlatformGuest Erik Bernhardsson · Host Harry StebbingsErik Bernhardsson discusses GPU capacity, open models, sandbox growth and why Modal is expanding beyond a single infrastructure product.
1:32:16ZH → EnglishMaxInsights Founder Yuan Yuguang on Producing First-Person Training Data for RobotsGuest 袁宇光 · Host 陈茜Yuan explains the growth and quality challenges of robotics data, from head-mounted cameras and global collectors to evaluation and deployment.
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.
18:52ENHahnbee Lee and Lincoln Murr on Documentation and Payments for AI AgentsHahnbee Lee, Lincoln Murr · MintlifyAs agents increasingly read docs and use services, Mintlify and Coinbase describe the importance of accurate content, APIs, payment permissions and maintenance.
1:27:47ENHector Serrano on Building a Paid Creator Program at Wispr FlowGuest Hector Serrano · Host Lenny RachitskyHow a creator-led growth team recruits, compensates and supports paid UGC creators—and uses founder storytelling alongside ads.
1:09:46ENRob McCoy and Shabbos Kestenbaum on the Ten Commandments, Family and FaithShabbos Kestenbaum, Rob McCoy · PragerUA Christian pastor and an Orthodox Jewish host discuss the religious meaning of the commandments and their application to family, community and public life.
18:45ENRamakrishnan Lokanathan: Evaluate the AI Agent’s Job, Not Just Its AnswerRamakrishnan LokanathanA practical framework for testing complete AI workflows, combining human feedback and regression checks with more challenging evaluations.
27:34ENJoseph Kim on Building AI Tools for Financial WorkGuest Joseph Kim · Host swyx, RichardOpenAI’s Joseph Kim discusses data, human review, taste and evaluations in building a financial-services product.
17:42ENTanya Tsikanovsky on Homelessness and Local Politics in West HollywoodShabbos Kestenbaum, Tanya Tsikanovsky · PragerUThe City Council candidate discusses housing, immigration and identity after a public comment at a Los Angeles council meeting.
2:38:15ENJoe Rogan with Francis Foster and Konstantin Kisin on Politics, Purpose and Life After AIGuest Francis Foster, Konstantin Kisin · Host Joe RoganThe TRIGGERnometry hosts join Rogan for a wide-ranging discussion of online outrage, politics, religion, work and the future of AI. Their political and historical assertions include speculation and are presented as the speakers’ views.
24:30ENKurtis Blow, Nas and Rev Run on Hip-Hop’s Early DaysGuest Kurtis Blow, Rev Run, Roxanne Shanté · Host NasThe artists trace a path from Harlem and Bronx parties to mentorship, touring and a song that connected generations.
1:26:42ENAI:AM on Alignment, Memory Chips and an Agent-Run EconomyGuest Anastasios Angelopoulos, Debo Olaosebikan, Samvit Ramadurgam, Michael Freeman, Sagar Vaze · Host Nathan Labenz, Prakash NarayananThe Cognitive Revolution’s hosts examine reported model behavior, new memory hardware, work and cyber risk with guests from Arena, Kepler, Union, ServiceNow and Mistral.
21:39ENJeff Smith on Safer Database Access for AI AgentsJeff Smith · OracleOracle’s Jeff Smith explains why generated SQL can be misleading and shows how reviewed reports, schema context and database-level controls can limit agent risk.
26:05ENAman Singh on AI Agents for Long-Running Financial Work at ArcaGuest Aman Singh · Host Richard MacManusArca’s AI platform lead explains its agent harness, persistent memory, human approvals and verification layers.
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