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23:48EN
20VC with Harry Stebbings· 26 oct 2026Pódcast · 2 vocesSatya Nadella on Zero Trust for AI and Why Every Company Should Own Its IntelligenceInvitado: Satya Nadella · Presenta: Harry StebbingsThe Microsoft CEO argues that capable agents need security boundaries even as alignment research remains unsettled, and explains why firms should retain the value created by their own AI use.IA empresarialAI securityEvaluaciones+2
32 diapositivas1:50:48EN
Y Combinator· 24 oct 2026Why Inference Matters 12× More Than TrainingFrançois Chaubard, Dan Fu, Jeff Morgan, Joe Fioti, Liangsheng Yin · Y CombinatorYC Paper Club walks the inference stack from an API request down to GPU kernels. Four talks from Together AI, Ollama, Luminal, and SGLang argue that serving quality, not just training FLOPs, is where most of the compute and the money now sit.InferenceGPU programming & kernelsKV caching & prefix reuse+2
6 diapositivas25:50EN
MBMatthew Berman· 24 oct 2026Kimi K3.1 Pro Tested: Strong 3D Demos, Uneven Results and Competitive PricingMatthew Berman · Forward FutureMatthew Berman tests the open-weight model on coding, 3D rendering and visual explanations, then compares benchmark results and prices.Open-weight modelsBenchmarksAI cost & performance+1
2 diapositivas32:20EN
MBMatthew Berman· 23 oct 2026Who Is Local AI For? The Costs, Trade-offs and a Hybrid FutureMatthew Berman · Forward FutureMatthew Berman weighs data control and independence against hardware cost, setup complexity and inference speed.Local inferenceOpen-weight modelsAI cost & performance+1
2:00:51EN
Cognitive Revolution "How AI Changes Everything"· 10 oct 2026PódcastResample Every Token and You Can Watch the Model DecidePresenta: Nathan LabenzGoodfire's Eric Bigelow on forking paths, in-context learning, and why chain-of-thought monitoring is getting harder to trust.AgentesPrompting & in-context learningReasoning & test-time compute+3
1:09:44EN
No Priors: AI, Machine Learning, Tech, & Startups· 9 oct 2026Pódcast · 2 voces10,000 GB300s for Four Weeks: Reflection’s Open-Model LedgerPresenta: Sarah Guo, Elad GilMisha Laskin tells No Priors how Reflection trained Beam, why reinforcement learning outspent pre-training, and why the West needs its own open weights.Código abierto y comunidadOpen-weight modelsReinforcement Learning+3
5 diapositivas21:29EN
MBMatthew Berman· 7 oct 2026Mistral Large 4 Preview: European Open Weights, Cyber Benchmarks and Setup FrictionMatthew Berman · Forward FutureMatthew Berman reviews the model’s reported specifications and benchmarks, then tests it in an agent coding workflow.Open-weight modelsBenchmarksAI security+1
56:31EN
Unsupervised Learning: With Jacob Effron· 6 oct 2026PódcastPost-Training Wins Inference: Why Owning the Weights Beats Betting on One LabPresenta: Jacob EffronApplied Compute CEO Yash Patil argues that control, private evals, and post-training on the biggest workloads matter more than fearing that frontier labs will turn malicious.Modelos y entrenamientoPost-trainingReinforcement Learning+3
1:20:28EN
20VC with Harry Stebbings· 1 oct 2026Pódcast · 4 vocesAI Valuations, Talent Wars and the Venture Capital Tradeoffs Behind ThemInvitado: Jack Altman, Jason Lemkin, Rory O’Driscoll · Presenta: Harry StebbingsHarry Stebbings, Jack Altman, Jason Lemkin and Rory O’Driscoll debate large early-stage bets, open-weight models and the changing market for exits.Venture CapitalAI startups & small teamsInference+2
1:10:08EN
20VC with Harry Stebbings· 22 ago 2026Pódcast · 2 vocesJerry Murdock on AI Financing, Open Models and Technology CyclesInvitado: Jerry Murdock · Presenta: Harry StebbingsInsight Partners' co-founder discusses credit risk, specialized models, security and how investors might navigate an uncertain AI cycle.Venture CapitalAI cost & performanceIA empresarial+2
2:06:11EN
Cognitive Revolution "How AI Changes Everything"· 14 ago 2026PódcastLindy Runs on DeepSeek. Its CEO Still Wants Chinese Models BannedPresenta: Nathan LabenzFlo Crivello tells Nathan Labenz how Lindy Teammate lives in Slack, reaches two billion tokens of memory in two model calls, and why he would still outlaw the cheap Chinese models that currently power the product.AgentesAgent memoryIngeniería de contexto+3
1:08:25EN
20VC with Harry Stebbings· 10 ago 2026Pódcast · 2 vocesAlex Atallah on OpenRouter, Model Competition and AI MarketplacesInvitado: Alex Atallah · Presenta: Harry StebbingsThe OpenRouter CEO discusses inference providers, open-weight models, enterprise safety and the economics of routing.Model routing & gatewaysInferenceOpen-weight models+2
1:09:26EN
20VC with Harry Stebbings· 3 ago 2026Pódcast · 2 vocesAnastasios Angelopoulos on Arena, Open Models and AI EvaluationInvitado: Anastasios Angelopoulos · Presenta: Harry StebbingsArena’s CEO discusses real-world model comparisons, enterprise AI control, security and the economics of evaluation.EvaluacionesOpen-weight modelsIA empresarial+2
2:16:29EN
Cognitive Revolution "How AI Changes Everything"· 2 ago 2026PódcastFrom Two Papers a Month to Sixty: What Two Weeks in China Revealed About AI SafetyPresenta: Nathan LabenzNathan Labenz argues that the familiar 'China will never slow down' line does not survive contact with the actual Chinese AI safety ecosystem.SeguridadSeguridad y gobernanzaAI security+3
1:20:22EN
20VC with Harry Stebbings· 30 jul 2026Pódcast · 3 voces20VC Roundtable on Open Weights, AI Spending and Software InvestingInvitado: Jason Lemkin, Rory O’Driscoll · Presenta: Harry StebbingsHarry Stebbings, Jason Lemkin and Rory O’Driscoll debate AI safety, chip investment, enterprise budgets and the future of software.Open-weight modelsAI SafetyInference+2
51:31EN
Sequoia Capital· 21 jul 2026PódcastThey Refunded Nearly $2 Million. Then Factory’s CEO Explained the Dark FactoryMatan Grinberg on being two years early, why a model-agnostic harness beats lab co-design, and why 90 percent of coding tokens will soon run with the lights off.Agentes de programaciónHarness engineeringModel routing & gateways+3
1:47:38EN
Cognitive Revolution "How AI Changes Everything"· 4 jul 2026Pódcast19 Neurons Can Drive a Car. Liquid AI Wants Foundation Models on Every ChipPresenta: Nathan LabenzRamin Hasani traces liquid neural networks from a worm's 300-cell brain to a 600-megabyte model that will talk from inside a Mercedes, and explains why architecture search now beats architecture avengers.Modelos y entrenamientoLocal inferenceScaling Laws+3
1:06:36EN
Unsupervised Learning: With Jacob Effron· 12 jun 2026PódcastBills Doubled Overnight. Next, the APIs Might Vanish.Presenta: Jacob EffronSix months after their last roundup, Ari Morcos and Rob Toews tell Jacob Efron why coding agents finally work, why near-frontier open weights may have peaked, and why a compute famine could pull the plug on public APIs.Empresa y estrategiaAI StrategyOpen-source ecosystems+3
42:57EN
No Priors: AI, Machine Learning, Tech, & Startups· 1 may 2026Pódcast · 2 vocesInference Is the Last Market: Baseten’s 30x YearPresenta: Sarah Guo, Elad GilCEO Tuhin Srivastava on a billion-dollar inference cloud, why the app layer survives, and a GPU crunch worse than the narrative.Infraestructura y despliegueInferencePost-training+3
54:26EN
Cognitive Revolution "How AI Changes Everything"· 22 feb 2026PódcastTen Billion Active Parameters, and the Unsexy Work of Making Them Agent-ReadyPresenta: Nathan LabenzMiniMax researcher Olive Song explains how M2 was trained with expert developers as reward models, interleaved thinking, and a perturbation pipeline that treats every scaffold change as the real generalization test.Agentes de programaciónReinforcement LearningIngeniería de agentes+3
4:25:13EN
Lex Fridman· 31 ene 2026PódcastThe Architecture Barely Changed. Data, Cost, and Open Weights Did.Presenta: Lex FridmanNathan Lambert and Sebastian Raschka walk Lex Fridman through a year in which training methods and datasets moved more than model design, and 2026 looks like a fight over inference cost, agents, and who owns truly open models.Modelos y entrenamientoScaling LawsOpen-weight models+3
1:54:30EN
Cognitive Revolution "How AI Changes Everything"· 9 ene 2026PódcastFrom One in Ten Cancer Cells to One in a MillionPresenta: Nathan LabenzNathan Labenz's solo AMA updates his son's lymphoma treatment, calls Claude Opus 4.5 software AGI, and ranks the live players of early 2026.Empresa y estrategiaAI StrategyAgentes de programación+3
1:16:21EN
No Priors: AI, Machine Learning, Tech, & Startups· 8 ene 2026Pódcast · 2 vocesJensen Huang’s Year-End Case That Token Costs Can Fall a Billion-Fold Without Killing JobsPresenta: Sarah Guo, Elad GilOn No Priors, NVIDIA’s CEO uses radiology, open source, and a $2 trillion R&D budget to argue that 2025’s extremes missed the stack.Empresa y estrategiaReasoning & test-time computeAI cost & performance+3
1:18:40EN
Cognitive Revolution "How AI Changes Everything"· 1 ene 2026PódcastWhen AI Becomes the Oil Well: Luke Drago on the Intelligence CursePresenta: Nathan LabenzThe Workshop Labs co-founder tells the FLI Podcast why a world of non-human production could recreate the resource curse — and how private data, open weights, and moonshot careers might still break it.Empresa y estrategiaAI StrategySeguridad y gobernanza+3
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