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46:14EN
Every· 4 nov 2026Pódcast · 2 vocesKevin Roose on Reporting AI History and Choosing What to DelegateInvitado: Kevin Roose · Presenta: Natalia QuinteroThe journalist discusses The AGI Chronicles, interviewing a secretive industry, AI-assisted research and his distinction between weightlifting and forklifting.AI SafetyAI researchAI Strategy
5 diapositivas18:01EN
AI Engineer· 4 nov 2026How 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.EvaluacionesIA en finanzasAI Safety+2
12:24EN
Chris Williamson· 4 nov 2026Pódcast · 2 vocesJoe Hudson on Decisions, Boundaries and Learning from ActionInvitado: Joe Hudson · Presenta: Chris WilliamsonChris Williamson and Joe Hudson discuss how to notice self-compromise, seek advice without surrendering judgment and remain open while acting decisively.LeadershipPsychology
19:48EN
AI Engineer· 4 nov 2026Why 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.Document understanding & OCRIA empresarialGeneración aumentada por recuperación+2
5 diapositivas19:19EN
AI Engineer· 4 nov 2026Approve 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.EvaluacionesIA en finanzasIngeniería de agentes+2
2:43:00EN
PowerfulJRE· 3 nov 2026Pódcast · 2 vocesSam Tallent and Joe Rogan on Writing, Comedy, and Finding PerspectiveInvitado: Sam Tallent · Presenta: Joe RoganThe comedian and author discusses his novel Brut, the demands of touring and the value of creative work beyond online approval.Career GrowthPhilosophy
2 diapositivas31:44EN
Theo - t3․gg· 3 nov 2026Theo 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.Flujos de desarrollo y pruebasAgentes de programaciónEvaluaciones+1
53:41EN
Silicon Valley Girl· 3 nov 2026Ethan Mollick on Entrepreneurship, AI Agents, and Preserving Human JudgmentInvitado: Ethan Mollick · Presenta: Marina MogilkoThe Wharton professor explains how to use AI as a managed collaborator while retaining the skills and choices that matter to you.AI agentsHuman-AI CollaborationEntrepreneurship+2
2 diapositivas12:58EN
Matthew Berman· 3 nov 2026Matthew 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.Agentes de programaciónOpen-source ecosystemsAI Product Management+1
2 diapositivas16:51EN
AI Engineer· 3 nov 2026Cristóbal 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.Visión y vídeoWorld modelsGenerative media+2
4 diapositivas19:42EN
AI Engineer· 3 nov 2026What 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.AI cost & performanceInferenceKV caching & prefix reuse+2
12:25EN
Chris Williamson· 3 nov 2026Pódcast · 2 vocesThe Fat Electrician Tells the Story of Sergeant Reckless, the Korean War HorseInvitado: The Fat Electrician · Presenta: Chris WilliamsonChris Williamson and his guest swap stories about military animals, from Wojtek the bear to a Marine Corps horse.History
4 diapositivas20:35EN
AI Engineer· 3 nov 2026Graph 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.Ingeniería de agentesKnowledge graphsAgent memory+2
1:08:18EN
Sources Podcast· 3 nov 2026Pódcast · 2 vocesAlex Davis on Concentrated Investing, AI Compute, and Private-Market RiskInvitado: Alex Davis · Presenta: Alex HeathThe Disruptive investor explains his new fund, his approach to late-stage companies and his concerns about speculative infrastructure and private-market vehicles.Venture CapitalInvestingAI Strategy+1
36:45EN
The Builders· 3 nov 2026Garry Tan on YC Founders, Personal AI Agents and Open MarketsInvitado: Garry Tan · Presenta: 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.FoundersVenture CapitalPersonal agents+1
4 diapositivas17:13EN
AI Engineer· 3 nov 2026How Factory Separates AI Agents from the Compute They Run OnNikhil Harithas · FactoryNikhil Harithas explains a proposed compute lifecycle layer, outbound relay and customer-controlled deployment for enterprise agents.Ingeniería de agentesInfraestructura y despliegueIA empresarial+2
2 diapositivas51:52EN
SemiAnalysis· 3 nov 2026Pódcast · 3 vocesHow GDPx Tests Frontier AI: Inside SemiAnalysis’s New BenchmarkInvitado: Max Kan, Andrew Megalaa · Presenta: Jordan NanosThe team behind GDPx explains task quality, domain selection, grading and the trade-off between public scrutiny and private evaluations.BenchmarksEvaluacionesAI research+1
59:18EN
Cheeky Pint· 3 nov 2026Pódcast · 2 vocesScott Nolan on Rebuilding US Uranium Enrichment and the Cost of Nuclear PowerInvitado: Scott Nolan · Presenta: John CollisonThe General Matter CEO talks with John Collison about fuel supply, a planned Kentucky facility and lessons from SpaceX.EnergyEntrepreneurshipGeopolitics+1
2 diapositivas34:48EN
Latent Space· 3 nov 2026Pódcast · 2 vocesZach Lloyd on the Infrastructure Behind a Software FactoryInvitado: Zach Lloyd · Presenta: 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.Agentes de programaciónFlujos de desarrollo y pruebasAgent orchestration+2
4 diapositivas15:50EN
Theo - t3․gg· 3 nov 2026Theo 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.Agentes de programaciónOpenAIAI cost & performance
48:08EN
a16z· 3 nov 2026Andrew 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.NeuroscienceProductivityWork-Life Balance
1:53:06EN
Theo Von· 3 nov 2026Pódcast · 2 vocesLindsay Owens on Price Experiments, Consumer Data and the Fight for Fair PricesInvitado: Lindsay Owens · Presenta: Theo VonThe consumer advocate explains her investigations into changing prices and data-driven commerce, and what shoppers and lawmakers can do.Economics
4 diapositivas16:29EN
AI Engineer· 3 nov 2026Why 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.Search & retrievalRAG y conocimientoEmbeddings+2
Diapositivas42:30EN
How I AI· 2 nov 2026Pódcast · 2 vocesInside Figma’s PM OS: Ezra Mechaber on Skills, Bug Bashes and Automated ExperimentsInvitado: Ezra Mechaber · Presenta: Claire VoFigma growth PM Ezra Mechaber shows Claire Vo how a shared repository supports product work, browser testing and a human-reviewed experiment loop.AI Product ManagementProduct ManagementAI agents+2
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