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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
28:05EN
Latent Space· 13 oct 2026Pódcast · 2 vocesWhat a Contest to Replace a $43,000 SaaS Tool RevealedPresenta: swyxBuilders, operators and an AI judge tested alternatives for conference speaker management.Software engineeringEvaluacionesAgentes de programación+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
1:21:05EN
Latent Space· 13 oct 2026Pódcast · 2 vocesJason Ma on World-Action Models and Deploying RobotsInvitado: Jason Ma · Presenta: swyxA conversation about prediction, training data, hardware and real-world workflows.RoboticsModelos y entrenamientoAI agents
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
32:06EN
a16z· 12 oct 2026Pódcast · 3 vocesRecursive Self-Improvement: Loops, Costs and the Challenge of MeasurementInvitado: Dhaval Adjodah, Owen He · Presenta: Martin CasadoMakerMaker.AI’s founders discuss their approach with Martin Casado.AI researchIngeniería de agentesEvaluaciones
1:12:06EN
20VC with Harry Stebbings· 10 oct 2026Pódcast · 2 vocesMax Freeman on Building Ramp’s Sales MachineInvitado: Max Freeman · Presenta: Harry StebbingsRamp’s sales leader explains how he hires, trains and equips sellers, from early outbound experiments to enterprise forecasting and AI-assisted research.SalesGo-to-MarketCompany Building+2
2 diapositivas17:37EN
Matthew Berman· 10 oct 2026AI Coding, Game Mashups and the Value of Human TasteMatthew Berman · Forward FutureMatthew Berman explains decompilation and game mashups, then argues that iterative AI coding changes software and creativity.Agentes de programaciónSoftware engineeringCreativity+1
Diapositivas0:56EN
Matthew Berman· 10 oct 2026AI, Reverse Engineering and the Possibility of Custom SoftwareMatthew Berman · Forward FutureMatthew Berman explores AI-assisted recreations of creative software and imagines applications tailored to individual needs. The legal and practical claims require more nuance.Agentes de programaciónSoftware engineeringOpen-source ecosystems+1
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