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24:05EN
How I AI· Oct 14, 2026PodcastA First Look at Meta Muse Wonder on Agent and Design TasksHost Claire VoClaire Vo reports strengths and weaknesses from her own small evaluation.EvalsAI agents
2:17:48EN
Cognitive Revolution "How AI Changes Everything"· Oct 14, 2026PodcastAgent IDs Are Empty, Rogue Agents Are Coming, and We Might Have to BargainHost 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.AgentsSafety & governanceAI security+3
58:26EN
Conversations with Tyler· Oct 14, 2026Podcast · 2 speakersLiaquat Ahamed on 1873, Gold and the Politics of Financial CrisesGuest Liaquat Ahamed · Host Tyler CowenTyler Cowen challenges the historian on deflation, monetary systems and debt.HistoryEconomicsPolitical Philosophy
7 slides38:30EN
Theo - t3․gg· Oct 14, 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.GeminiCoding agentsEvals+2
1:34:17EN
The Pragmatic Engineer· Oct 14, 2026Podcast · 2 speakersInside Uber’s Developer Infrastructure for AI AgentsGuest Uday Kiran Medisetty · Host Gergely OroszUday Kiran Medisetty explains gateways, context, background coding and review.Developer workflows & testingAgent engineeringInfrastructure & deployment
5 slides12:14EN
Matthew Berman· Oct 14, 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.GeminiBenchmarksCoding agents+1
58:49EN
a16z· Oct 14, 2026Podcast · 2 speakersNathan Lambert on Open Models, Frontier Labs and TrilliumGuest Nathan Lambert · Host Lisha LiA discussion of compute, post-training data and an open research agenda for understanding AI automation.Open-weight modelsAI researchModels & training+2
4 slides44:12EN
SemiAnalysis· Oct 14, 2026Podcast · 3 speakersGLM 5.3, Sparse Attention and the Cost of InferenceGuest Kimbo Chen, Wenyao Gao · Host 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· Oct 13, 2026Podcast · 2 speakersRyan Serhant on Selling, Time and the Cost of AmbitionGuest Ryan Serhant · Host Shane ParrishA real-estate broker discusses relationships and career lessons with Shane Parrish.SalesTime ManagementCareer Growth
5 slides10:36EN
Matthew Berman· Oct 13, 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.Models & trainingBenchmarksAI cost & performance+1
1:20:35EN
Invest Like The Best· Oct 13, 2026Podcast · 2 speakersDavid Vélez on Building Nubank and Banking’s AI FutureGuest David Vélez · Host Patrick O'ShaughnessyThe founder discusses digital banking economics, global expansion and organizational change.FintechAI in financeLeadership
1:08:02EN
Sequoia Capital· Oct 13, 2026PodcastAlphaGo 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.Models & trainingReinforcement LearningRL environments & simulators+3
8 slides38:02EN
Theo - t3․gg· Oct 13, 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.Coding agentsAI cost & performanceModels & training
2 slides0:36EN
Matthew Berman· Oct 13, 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.Security & safetyOpenAIPrivacy & data governance
0:53EN
All-In Podcast· Oct 13, 2026PodcastJason Calacanis on How AI Could Change Coding TogetherA short reflection on coding camaraderie and the shift toward delegating work to agents.Coding agentsSoftware engineering
25:16EN
All-In Podcast· Oct 12, 2026Podcast · 2 speakersMartin Shkreli on Quantum Computing, Drug Development and PrisonGuest 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 slides18:18EN
Theo - t3․gg· Oct 12, 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 & performanceCoding agentsModels & training
58:54EN
20VC with Harry Stebbings· Oct 12, 2026Podcast · 2 speakersMike Cannon-Brookes on AI Agents, Enterprise Context and the Future of InterfacesGuest Mike Cannon-Brookes · Host 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 designEnterprise AIAI agents+2
0:23EN
Theo - t3․gg· Oct 12, 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.Coding agentsAI cost & performance
2 slides2:39:03EN
Cognitive Revolution "How AI Changes Everything"· Oct 12, 2026Podcast · 3 speakersAI Code Needs Specifications: Formal Verification and Human ControlGuest Grigore Rosu, Everett Hildenbrandt · Host 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· Oct 12, 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· Oct 12, 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.Coding agentsSoftware engineering
3 slides31:00EN
AI Explained· Oct 12, 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· Oct 12, 2026Podcast · 2 speakersDesigning Meta Muse: Status, Personalization and Everyday AgentsGuest Alex Cornell · Host Claire VoAlex Cornell discusses consumer agent design and his own experiments with Muse.Product DesignPersonal agentsHuman-AI Collaboration
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