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12 diapositivas34:21EN
Matthew Berman· 27 oct 2026Matthew Berman Examines Anthropic’s IPO Filing, AI Growth and GovernanceMatthew Berman, Sam Altman · Forward FutureThe presenter reviews the S-1’s financial metrics, compute strategy and voting structure while questioning the tension between rapid AI development and safety.AnthropicAI SafetyIA empresarial+2
5 diapositivas36:07EN
Theo - t3․gg· 27 oct 2026Theo on Token Costs, Coding Agents, and the Price of AI CapabilityTheo Browne · Ping LabsA viral estimate of Lauren's AI spending prompts a closer look at cache pricing, benchmarks, and the changing work of coding agents.AI cost & performanceAgentes de programaciónInference+1
1:11:27EN
Invest Like The Best· 27 oct 2026Pódcast · 2 vocesCliff Sosin: What Remains Valuable When AI Intelligence Gets CheapInvitado: Cliff Sosin · Presenta: Patrick O'ShaughnessyThe investor explores the limits of prediction, the economics of AI infrastructure and the assets that may complement abundant intelligence.InvestingAI StrategyAI cost & performance+2
4 diapositivas55:06EN
SemiAnalysis· 27 oct 2026Pódcast · 4 vocesAnthropic's S-1: Revenue, Compute Costs and the Race to ScaleThe SemiAnalysis panel examines Anthropic’s filing, from improving compute economics to customer concentration and competition.AI cost & performanceInfraestructura y despliegueIA empresarial+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
2 diapositivas32:20EN
Matthew 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
19 diapositivas1:09:00EN
Dwarkesh Patel· 22 oct 2026Pódcast · 9 vocesDwarkesh Patel: What will computer chips look like in 2045?Invitado: Chris Auth, Kevin Fischer, Jack Kavalieros, Tyler Osborn, Pushkar Ranade, Gary Dickerson, Peter Wennink, Elon Musk · Presenta: Dwarkesh PatelAfter two days inside Intel’s most advanced fab, Dwarkesh Patel walks through gate-all-around, backside power, High-NA EUV, ruthenium, CFET, and hybrid bonding — and asks Intel’s leadership how the industry can possibly meet AI’s 3×-a-year compute demand when the world’s chipmaking tools cannot.SemiconductorsAI cost & performanceInfraestructura y despliegue+2
59:41EN
20VC with Harry Stebbings· 22 oct 2026Pódcast · 3 voces20VC: Venture Fund Size, AI Valuations and the Changing Software MarketInvitado: Jason Lemkin, Rory O’Driscoll · Presenta: Harry StebbingsHarry Stebbings, Jason Lemkin and Rory O'Driscoll debate venture concentration, infrastructure risk, code review and the assumptions behind fast-growing AI companies.Venture CapitalInvestingAI cost & performance+2
1:25:33EN
Latent Space· 22 oct 2026Pódcast · 2 vocesWhy GPU Capacity Comes in Three-Year Rectangles — Erik Bernhardsson, ModalInvitado: Erik Bernhardsson · Presenta: Vibhu SapraModal’s CEO tells Latent Space why AI demand almost never looks like a three-year GPU contract, how the company pools compute across thousands of customers, and why sandboxes grew from a product they almost killed into a third of revenue.Infraestructura y despliegueSandboxes & isolationAI cost & performance+2
1:17:09EN
20VC with Harry Stebbings· 15 oct 2026Pódcast · 3 voces20VC on Pro Rata Rights, AI Pricing and the Changing Software MarketInvitado: Jason Lemkin, Rory O’Driscoll · Presenta: Harry StebbingsHarry Stebbings, Jason Lemkin and Rory O’Driscoll debate investor rights, model economics and the choices facing software companies and their employees.Venture CapitalAI cost & performanceRobotics+2
1:26:46EN
Cognitive Revolution "How AI Changes Everything"· 8 oct 2026PódcastThere Likely Is a Level of Intelligence We Shouldn't Go PastPresenta: Nathan LabenzNathan Labenz brings notes from The Curve, a chip startup whose token bill beat payroll, and a software industry that now performance-reviews people for Claude slop.Empresa y estrategiaSeguridad y gobernanzaAGI Timelines+3
1:10:12EN
Cognitive Revolution "How AI Changes Everything"· 7 oct 2026PódcastOutSystems Went From 4 Major Features a Quarter to 26. Token Spend Fell AnywayPresenta: Nathan LabenzCEO Woodson Martin on software that never breaks, why most enterprise work does not need a frontier model, and how AI is finally shrinking the IT backlog.Empresa y estrategiaIA empresarialAgentes de programación+3
1:04:26EN
Sequoia Capital· 6 oct 2026PódcastAt 100,000 Accelerators, Something Fails Every HourGoogle AI infrastructure chief Amin Vahdat tells Sequoia's Sonya Huang why FLOPS is a vanity metric, why the TPU line split in two, and why he would rather wait on a utility than build his own gigawatt.Infraestructura y despliegueAI cost & performanceInference+3
1:05:01EN
20VC with Harry Stebbings· 3 oct 2026Pódcast · 2 vocesChase Lochmiller on AI Data Centers, Energy and GPU EconomicsInvitado: Chase Lochmiller · Presenta: Harry StebbingsCrusoe’s CEO discusses the constraints on AI infrastructure, the economics of GPU capacity and his company’s approach to energy and managed inference.Infraestructura y despliegueEnergyInference+2
35:39EN
No Priors: AI, Machine Learning, Tech, & Startups· 2 oct 2026Pódcast · 2 vocesCompute Scaled a Millionfold. Bandwidth Only 40x. Fractile Wants to Fix That RatioPresenta: Sarah Guo, Elad GilIn the summer of 2022, Walter Goodwin founded Fractile in London to build very fast inference chips for the world's largest models.Infraestructura y despliegueInferenceAI cost & performance+3
1:28:08EN
Cognitive Revolution "How AI Changes Everything"· 1 oct 2026PódcastThe same H100 costs 3x at AWS, and a four-month-old lab is catching genes the top sequencers missedPresenta: Nathan LabenzA Cognitive Revolution weekly briefing on a possible U.S.–China AI hotline, why hyperscalers charge two to three times as much for identical chips, co-writing a novel with frontier models, and an AI loop that re-diagnosed a child a premier prenatal lab had cleared.Empresa y estrategiaSeguridad y gobernanzaAI cost & performance+3
1:46:04EN
Cognitive Revolution "How AI Changes Everything"· 27 sept 2026PódcastThe Training Worked. It Just Worked Too Well.Presenta: Nathan LabenzA week of Cognitive Revolution clips: OpenAI agents colluding on a German wiki, $200 million checks for safety orgs that do not exist yet, a GPU price index, and two opposite bets on biological data.AgentesMulti-agent systemsSeguridad y gobernanza+3
1:08:54EN
20VC with Harry Stebbings· 26 sept 2026Pódcast · 2 vocesParag Agrawal on Web Search and Business Models for AI AgentsInvitado: Parag Agrawal · Presenta: Harry StebbingsParallel’s co-founder explains why agent search needs different economics, how content owners might be paid and why agent safety requires more than model capability.Search & retrievalAI agentsAI security+2
1:20:43EN
20VC with Harry Stebbings· 24 sept 2026Pódcast · 3 vocesAI Agents, Venture Pricing and the Tradeoffs Behind the Funding BoomInvitado: Jason Lemkin, Rory O’Driscoll · Presenta: Harry StebbingsHarry Stebbings, Jason Lemkin and Rory O’Driscoll debate AI products, high-priced venture rounds, enterprise software and infrastructure risk.Venture CapitalAI agentsIA empresarial+2
4 diapositivas31:59EN
Matthew Berman· 23 sept 2026Claude Opus 5.5: Benchmarks, Cost and Anthropic’s Approach to PacingMatthew Berman, Thariq · Forward FutureMatthew Berman reviews the release and speaks with Anthropic’s Thariq about daily workflows, evaluation and agent harnesses.AnthropicBenchmarksAI cost & performance+2
8 diapositivas1:59:37EN
Matthew Berman· 22 sept 2026Opus 5.5 and GPT-6 Sol and Luna: A Launch-Day LivestreamMatthew Berman, Thariq Shihipar, Alex, Brian · Forward FutureMatthew Berman interviews Anthropic’s Thariq Shihipar, shows early demos and then reviews two OpenAI models announced during the stream.Agentes de programaciónAI cost & performanceEvaluaciones+2
1:19:54EN
20VC with Harry Stebbings· 19 sept 2026Pódcast · 2 vocesThomas Sohmers on AI Inference, Memory and Data-Center GrowthInvitado: Thomas Sohmers · Presenta: Harry StebbingsPositron’s co-founder discusses the engineering economics of inference, his views on AI infrastructure and regulation, and the risks he sees in financing and concentration.InferenceSemiconductorsAI cost & performance+2
38:14EN
No Priors: AI, Machine Learning, Tech, & Startups· 18 sept 2026Pódcast · 2 vocesDiffusion Will Win Inference: Stefano Ermon Bets Parallel Tokens Beat Custom SiliconPresenta: Sarah Guo, Elad GilThe Stanford diffusion pioneer tells No Priors why a 50-person lab is training language models that generate many tokens at once — and why that maps to GPUs the way transformers once mapped to training.Modelos y entrenamientoInferenceAI cost & performance+3
1:06:47EN
Cognitive Revolution "How AI Changes Everything"· 17 sept 2026PódcastEighty percent of what agents do should still be ordinary codePresenta: Nathan LabenzZapier CEO Wade Foster tells Nathan Labenz that models top out at 40% on real automation tasks, users will not leave their daily driver, and the winning move is headless tools delivered through MCP.MCP y herramientasMCPWorkflow automation+3
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