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24:05EN
How I AI· 14 oct 2026PódcastA First Look at Meta Muse Wonder on Agent and Design TasksPresenta: Claire VoClaire Vo reports strengths and weaknesses from her own small evaluation.EvaluacionesAI agents
2:17:48EN
Cognitive Revolution "How AI Changes Everything"· 14 oct 2026PódcastAgent IDs Are Empty, Rogue Agents Are Coming, and We Might Have to BargainPresenta: Nathan LabenzGovAI’s Alan Chan scores two years of agent-governance infrastructure with Nathan Labenz, then walks through a recursive-self-improvement paper co-authored with OpenAI’s Jakub Pachocki and Anthropic’s Jack Clark.AgentesSeguridad y gobernanzaAI security+3
58:26EN
Conversations with Tyler· 14 oct 2026Pódcast · 2 vocesLiaquat Ahamed on 1873, Gold and the Politics of Financial CrisesInvitado: Liaquat Ahamed · Presenta: Tyler CowenTyler Cowen challenges the historian on deflation, monetary systems and debt.HistoryEconomicsPolitical Philosophy
7 diapositivas38:30EN
Theo - t3․gg· 14 oct 2026Theo Tests Gemini 4 Argon: Design Strengths and Code-Review ConcernsTheo Browne · Ping LabsA strong result on a narrow skateboarding benchmark contrasts with poor findings in Theo’s own codebase audits.GeminiAgentes de programaciónEvaluaciones+2
1:34:17EN
The Pragmatic Engineer· 14 oct 2026Pódcast · 2 vocesInside Uber’s Developer Infrastructure for AI AgentsInvitado: Uday Kiran Medisetty · Presenta: Gergely OroszUday Kiran Medisetty explains gateways, context, background coding and review.Flujos de desarrollo y pruebasIngeniería de agentesInfraestructura y despliegue
5 diapositivas12:14EN
Matthew Berman· 14 oct 2026Gemini 4 Argon Tested: 3D Demos, a Spreadsheet Prototype and Benchmark ResultsMatthew Berman · Forward FutureMatthew Berman tests Google’s model on games and visual projects, then compares reported coding and agent benchmarks.GeminiBenchmarksAgentes de programación+1
58:49EN
a16z· 14 oct 2026Pódcast · 2 vocesNathan Lambert on Open Models, Frontier Labs and TrilliumInvitado: Nathan Lambert · Presenta: Lisha LiA discussion of compute, post-training data and an open research agenda for understanding AI automation.Open-weight modelsAI researchModelos y entrenamiento+2
4 diapositivas44:12EN
SemiAnalysis· 14 oct 2026Pódcast · 3 vocesGLM 5.3, Sparse Attention and the Cost of InferenceInvitado: Kimbo Chen, Wenyao Gao · Presenta: Jordan NanosSemiAnalysis examines memory bottlenecks, AMD and NVIDIA serving results, post-training and support for Chinese chips.InferenceOpen-weight modelsSemiconductors+1
55:32EN
The Knowledge Project Podcast· 13 oct 2026Pódcast · 2 vocesRyan Serhant on Selling, Time and the Cost of AmbitionInvitado: Ryan Serhant · Presenta: Shane ParrishA real-estate broker discusses relationships and career lessons with Shane Parrish.SalesTime ManagementCareer Growth
5 diapositivas10:36EN
Matthew Berman· 13 oct 2026Meta Muse Wonder Tested: Strong Benchmarks, Mixed Demos and Quota FrictionMatthew Berman · Forward FutureMatthew Berman tests Meta’s models on browser demos and reviews their published benchmark scores, availability and cost.Modelos y entrenamientoBenchmarksAI cost & performance+1
1:20:35EN
Invest Like The Best· 13 oct 2026Pódcast · 2 vocesDavid Vélez on Building Nubank and Banking’s AI FutureInvitado: David Vélez · Presenta: Patrick O'ShaughnessyThe founder discusses digital banking economics, global expansion and organizational change.FintechIA en finanzasLeadership
1:08:02EN
Sequoia Capital· 13 oct 2026PódcastAlphaGo Took Two Years. AlphaZero Took Hours. Silver Is Making the Same Bet on SuperintelligenceDavid Silver and Lasse Espeholt left DeepMind to build Ineffable Intelligence, a twenty-person lab that wants a superlearner to discover science, math, and language from experience rather than from a pre-training run.Modelos y entrenamientoReinforcement LearningRL environments & simulators+3
8 diapositivas38:02EN
Theo - t3․gg· 13 oct 2026Meta’s Muse Wonder Full: A Coding Agent Tested Against Opus and SolTheo Browne · Ping LabsTheo Browne tests Meta’s new model on code review, debugging, delegation and benchmarks, finding promising strengths alongside important limits.Agentes de programaciónAI cost & performanceModelos y entrenamiento
2 diapositivas0:36EN
Matthew Berman· 13 oct 2026OpenAI Employee Charged in Recording-Device InvestigationMatthew Berman · Forward FutureMatthew Berman discusses the reported discovery of a recording device and OpenAI’s account of its investigation.SeguridadOpenAIPrivacy & data governance
0:53EN
All-In Podcast· 13 oct 2026PódcastJason Calacanis on How AI Could Change Coding TogetherA short reflection on coding camaraderie and the shift toward delegating work to agents.Agentes de programaciónSoftware engineering
25:16EN
All-In Podcast· 12 oct 2026Pódcast · 2 vocesMartin Shkreli on Quantum Computing, Drug Development and PrisonInvitado: Martin ShkreliThe investor explains his bearish quantum thesis, discusses pharmaceutical opportunities and reflects on the thinking that preceded his conviction.InvestingAI cost & performanceDrug Discovery
7 diapositivas18:18EN
Theo - t3․gg· 12 oct 2026Why AI Bills Can Rise as Intelligence Gets CheaperTheo Browne · Ping LabsTheo Browne explains the difference between token prices, task costs and capability, and why more useful agents can still drive larger bills.AI cost & performanceAgentes de programaciónModelos y entrenamiento
58:54EN
20VC with Harry Stebbings· 12 oct 2026Pódcast · 2 vocesMike Cannon-Brookes on AI Agents, Enterprise Context and the Future of InterfacesInvitado: Mike Cannon-Brookes · Presenta: Harry StebbingsAtlassian's CEO argues that agents make product design more important, explains the trade-offs in enterprise AI, and makes the case for slower thinking.AI interface designIA empresarialAI agents+2
0:23EN
Theo - t3․gg· 12 oct 2026Why Theo Would Wait Before Upgrading for UltrafastTheo Browne · Ping LabsA short cost comparison leads Theo Browne to caution against upgrading to the $500 tier solely for Astra Ultrafast.Agentes de programaciónAI cost & performance
2 diapositivas2:39:03EN
Cognitive Revolution "How AI Changes Everything"· 12 oct 2026Pódcast · 3 vocesAI Code Needs Specifications: Formal Verification and Human ControlInvitado: Grigore Rosu, Everett Hildenbrandt · Presenta: Nathan LabenzFrom Linux bug hunting to agent permissions, a discussion of proofs, intent and fallback plans.Code review & verificationAI agentsAI Safety+1
0:35EN
Matthew Berman· 12 oct 2026Why Human Creativity Still Matters in the Age of AI ImagesMatthew Berman · Forward FutureMatthew Berman argues that producing more images is different from creating work that resonates with people.CreativityHuman-AI Collaboration
0:46EN
Matthew Berman· 12 oct 2026Matthew Berman's AI-Assisted Super Mario World RecreationMatthew Berman · Forward FutureA short progress update describes a multi-day attempt to rebuild the game for a ModRetro handheld.Agentes de programaciónSoftware engineering
3 diapositivas31:00EN
AI Explained· 12 oct 2026Why AI Labs Keep Racing Despite Their Own Warnings of a Major BreachSam Altman, John Schulman · OpenAIAI Explained examines weakening safeguards, the incentives behind the frontier race, and why research breakthroughs make the next 18 months difficult to forecast.AI SafetyAI securityAI Alignment+2
37:47EN
How I AI· 12 oct 2026Pódcast · 2 vocesDesigning Meta Muse: Status, Personalization and Everyday AgentsInvitado: Alex Cornell · Presenta: Claire VoAlex Cornell discusses consumer agent design and his own experiments with Muse.Product DesignPersonal agentsHuman-AI Collaboration
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