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51:06ENKent Beck on AI Coding, the Forest, and Human NeedsKent BeckAI amplifies the conditions in which software teams work. Kent Beck argues for preserving future options and designing tools around human needs.
18:50ENPim de Witte on Training Visual Action Models with Video GamesPim de Witte · General IntuitionThe General Intuition founder describes using game recordings and controller actions to train systems intended for both computer use and robotics.
18:26ENRana el Kaliouby leaves her dating spreadsheet behindGast: Rana el Kaliouby, Francesca Hogi · Moderation: Jeff BermanAn AI scientist and a matchmaker discuss how to seek connection intentionally without reducing people to a checklist.
19:12ENWhy AI Agents Need Reliable Processes to Scale Across a CompanyMitchell Troyanovsky · BasisBasis co-founder Mitchell Troyanovsky explains behavior specifications, trajectory forks and simulations for production agents.
42:39ENHow the Midterms Could Reshape the 2028 Data Center BuildoutGast: Maya Barkin, Wayne Ma, Jeremie Eliahou Ontiveros · Moderation: Jordan NanosSemiAnalysis examines permitting, grid costs and the local backlash behind a more uncertain US data center pipeline.
46:14ENKevin Roose on Reporting AI History and Choosing What to DelegateGast: Kevin Roose · Moderation: Natalia QuinteroThe journalist discusses The AGI Chronicles, interviewing a secretive industry, AI-assisted research and his distinction between weightlifting and forklifting.
17:50ENPeter Yang’s Five Steps for Using AI to Help Care for His MotherYang uses a shared care brief and organized records to navigate appointments, while making time for family.
1:11:12ENDynamic programming for decisions under uncertaintyMarco Pavone · Stanford UniversityMarco Pavone builds from the principle of optimality to Markov decision processes and explains why exact solutions become expensive.
18:01ENHow NatWest Tests Customer-Facing AI Agents Before LaunchJonathan Osborne · NatWest GroupJonathan Osborne explains routing controls, human validation, unreliable LLM judges and shadow deployment in a regulated bank.
12:24ENJoe Hudson on Decisions, Boundaries and Learning from ActionGast: Joe Hudson · Moderation: Chris WilliamsonChris Williamson and Joe Hudson discuss how to notice self-compromise, seek advice without surrendering judgment and remain open while acting decisively.
19:48ENWhy Datasite Bought Its Document Parser Instead of Building ItAdit Abraham, Raj Bakhru · ReductoRaj Bakhru and Reducto CEO Adit Abraham discuss the engineering trade-offs behind AI for transaction data rooms.
19:19ENApprove the Application, Not the AI Model: Building Evaluation Gates for a BankDoneyli De Jesus · Langfuse by ClickHouseDoneyli De Jesus explains how a bank tested an AI agent on its own data, added a calculator and used domain experts to set production gates.
2:43:00ENSam Tallent and Joe Rogan on Writing, Comedy, and Finding PerspectiveGast: Sam Tallent · Moderation: Joe RoganThe comedian and author discusses his novel Brut, the demands of touring and the value of creative work beyond online approval.
31:44ENTheo on Improving Agent-Generated UI With Iterative ReviewsTheoA T3 Code experiment uses multiple model reviewers, screenshots and repeated changes to improve an interface, while exposing the limits of subjective scores.
53:41ENEthan Mollick on Entrepreneurship, AI Agents, and Preserving Human JudgmentGast: Ethan Mollick · Moderation: Marina MogilkoThe Wharton professor explains how to use AI as a managed collaborator while retaining the skills and choices that matter to you.
12:58ENMatthew Berman on Building Personal Software With AIMatthew Berman · Forward FutureA homemade PDF reader leads Berman to argue that coding agents could make customized consumer software more accessible.
16:51ENCristóbal Valenzuela on Interactive Video Models and Runway’s ContinuumCristóbal Valenzuela · RunwayRunway’s co-founder traces next-frame prediction from early generated film to research prototypes for interactive visual interfaces.
19:42ENWhat Drives AI Agent Costs: Cache Hits, Input Tokens and TurnsGeorge Cameron · Artificial AnalysisArtificial Analysis co-founder George Cameron breaks down an agent benchmark and a framework for choosing models by cost and capability.
12:25ENThe Fat Electrician Tells the Story of Sergeant Reckless, the Korean War HorseGast: The Fat Electrician · Moderation: Chris WilliamsonChris Williamson and his guest swap stories about military animals, from Wojtek the bear to a Marine Corps horse.
20:35ENGraph Engineering for Agents: Explicit Procedures, Memory and GovernanceZachary Blumenfeld · Neo4jNeo4j’s Zachary Blumenfeld describes three kinds of graphs and demonstrates a graph-shaped loan-review skill.
1:08:18ENAlex Davis on Concentrated Investing, AI Compute, and Private-Market RiskGast: Alex Davis · Moderation: Alex HeathThe Disruptive investor explains his new fund, his approach to late-stage companies and his concerns about speculative infrastructure and private-market vehicles.
28:43ENHow leaders make room for calm when plans keep changingGast: DJ Patil, Raina Kumra, Hayden Brown, Baratunde Thurston, John Mills, Dara Treseder, William Treseder · Moderation: Bob SafianA double pendulum, wildfire warnings and a family’s “glass balls” offer different ways to navigate uncertainty.
36:45ENGarry Tan on YC Founders, Personal AI Agents and Open MarketsGast: Garry Tan · Moderation: Walter IsaacsonIn a June 2026 interview, the Y Combinator CEO discusses founder selection, AI’s effect on work and the risk of concentrated platform power.
11:59ENUse two AI agents to turn a prototype into a front-end specificationDevin Chasanoff · GoogleDevin Chasanoff separates planning from documentation so Gemini can help a user design an app before building it.
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