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8 diapositives43:15EN
Theo - t3․gg· 6 juil. 2026Theo’s Fable 5 Workflow: Model Routing, PR Review, and VerificationTheo Browne · Ping LabsA practical walkthrough of delegating tasks across models and turning a stalled backlog into reviewed work, with cost and deployment boundaries.Agents de codeAgent orchestrationWorkflows de développement et tests+2
1:11:53EN
20VC with Harry Stebbings· 4 juil. 2026Podcast · 2 voixSierra Co-founder Clay Bavor on Open Models, Enterprise AI and Building TeamsInvité : Clay Bavor · Anime : Harry StebbingsBavor discusses model selection and compute costs, deploying AI agents for enterprises, and how Sierra approaches hiring and company culture.IA en entrepriseOpen-weight modelsAI agents+2
1:47:38EN
Cognitive Revolution "How AI Changes Everything"· 4 juil. 2026Podcast19 Neurons Can Drive a Car. Liquid AI Wants Foundation Models on Every ChipAnime : 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.Modèles et entraînementLocal inferenceScaling Laws+3
7 diapositives23:24EN
Theo - t3․gg· 4 juil. 2026Fable 5: Theo’s Take on Fallbacks, Subscription Limits, and CostTheo Browne · Ping LabsTheo Browne examines performance claims and shares the cost-saving workflow he used during a limited subscription window.Agents de codeSécurité et gouvernanceAI cost & performance+2
0:28EN
Theo - t3․gg· 3 juil. 2026Theo on the AI Bubble and the Value Beneath ItTheoTheo thinks AI is in a bubble, but says its underlying value remains an open question. He contrasts NFTs with the internet and its dot-com bust.AI StrategyInvesting
4 diapositives38:05EN
Theo - t3․gg· 3 juil. 2026Why Theo Moved His Agent Work to Linux MachinesTheoLong-running coding agents, laptop CPU load and slow small-file operations led Theo to build a networked fleet. He demonstrates SSH, a hardware KVM and T3 Code for remote work.Agents de codeWorkflows de développement et testsInfrastructure et déploiement+1
1:18:07EN
20VC with Harry Stebbings· 2 juil. 2026Podcast · 3 voix20VC Roundtable: AI Spending, Model Competition and Software AcquisitionsInvité : Jason Lemkin, Rory O’Driscoll · Anime : Harry StebbingsHarry Stebbings, Jason Lemkin and Rory O’Driscoll debate enterprise AI returns, prediction markets, SaaS roll-ups and the cost of raising capital.AI cost & performanceVenture CapitalIA en entreprise+2
1:01:27EN
No Priors: AI, Machine Learning, Tech, & Startups· 2 juil. 2026Podcast · 2 voixTwo Years and Four Months to a Live Reactor: Valar Atomics Wants Energy Ten Times CheaperAnime : Sarah Guo, Elad GilIsaiah Taylor walks Sarah Guo through Ward 250 in Utah and argues that nuclear is a hardware-iteration problem, not a paper-design one.Infrastructure et déploiementCompany BuildingSécurité et gouvernance+3
1:29:02EN
Cognitive Revolution "How AI Changes Everything"· 1 juil. 2026PodcastFrom 50 Designs a Day to 1,500: How AI Changed What Jaguar Land Rover Can ExploreAnime : Nathan LabenzNeural Concept’s Thomas von Tschammer on specialist physics models, engineering copilots, and why Formula 1 already runs thousands of designs overnight.Entreprise et stratégieFine-tuningAgent orchestration+3
6 diapositives28:37EN
Theo - t3․gg· 1 juil. 2026Theo Tests Sonnet 5 and Explains Fable’s ReturnTheoTheo compares model benchmarks and his own coding tests, finding promise in Sonnet’s subagent orchestration but questioning its task costs.AnthropicAgents de codeAgent orchestration+2
2 diapositives2:19EN
Theo - t3․gg· 1 juil. 2026Theo on Sonnet 5: Agent Orchestration and Token CostsTheoTheo welcomes Sonnet 5's ability to coordinate subagents while questioning its token efficiency. He also discusses the introductory pricing announced at release.AnthropicAgents de codeAgent orchestration+1
6 diapositives31:30EN
Theo - t3․gg· 30 juin 2026Why Some AI Models Use Fewer Tokens to Solve a TaskTheoTheo explains input, output, caching and reasoning tokens, then explores a hypothesis about terse internal reasoning.AI cost & performanceReasoning & test-time computeKV caching & prefix reuse+2
0:33EN
Theo - t3․gg· 30 juin 2026Theo on Shared AI Conversations and Team CollaborationTheoA shared Claude conversation in Slack lets teammates see and continue the same work. Theo argues that this kind of collaboration differs from a GitHub-centered workflow.Human-AI CollaborationWorkflows de développement et tests
3:51:47EN
Lex Fridman· 30 juin 2026Podcast · 2 voixForty-Six Percent of Emperors Were Overthrown. The Empire Lasted AnywayInvité : Anthony Kaldellis · Anime : Lex FridmanHistorian Anthony Kaldellis walks Lex Fridman through 2,200 years of Roman history and argues that what we call Byzantium was Rome itself.Political PhilosophyGeopoliticsLeadership
1:10:15EN
Sequoia Capital· 30 juin 2026PodcastThe 100x lives between the layers: Dylan Patel on co-design and a 60x yearSemiAnalysis’s founder argues that matching models, kernels, and silicon is what turns a 2x here and a 2x there into 100x, while equivalent-quality inference has gotten about 60 times cheaper in a year.Infrastructure et déploiementInferenceBenchmarks+3
0:42EN
Matthew Berman· 30 juin 2026Matthew Berman's Concern About Access to Frontier AIMatthew Berman · Forward FutureIn a short commentary, Berman argues that restricted model access could disadvantage startups and slow US innovation.AI RegulationOpen-weight modelsAI Strategy
1:06:10EN
20VC with Harry Stebbings· 29 juin 2026Podcast · 2 voixK. R. Sridhar on Distributed Power, AI Demand and Energy AccessInvité : K. R. Sridhar · Anime : Harry StebbingsBloom Energy’s CEO discusses data-center power, manufacturing, natural gas and his vision for broader electricity access.EnergyLeadershipInfrastructure et déploiement+2
4 diapositives22:43EN
Theo - t3․gg· 29 juin 2026Mac Prices, Unified Memory and Local AI: Theo’s Buying Trade-offsTheoTheo explains why high-memory Macs appealed for local inference and how rising component prices changed his comparison with PCs.Local inferenceInfrastructure et déploiementAI cost & performance+1
5 diapositives12:26EN
Matthew Berman· 28 juin 2026Hermes Agent: Hosted Setup, Skills, Scheduled Tasks and TelegramMatthew Berman · Forward FutureIn a sponsored June 2026 tutorial, Matthew Berman demonstrates a managed Hermes installation and explores its tools, memory and messaging integrations.AgentsAgent skillsWorkflow automation+2
6 diapositives30:08EN
Theo - t3․gg· 27 juin 2026GPT-5.6’s Limited Preview: Benchmarks, Agent Risks and AccessTheoTheo reviews the launch-era announcement, published evaluations and reported agent incidents, while questioning the balance between safety and broad access.OpenAISécurité et gouvernanceIngénierie d’agents+2
0:25EN
Matthew Berman· 27 juin 2026Apple’s June 2026 Price Increases and the Memory ShortageMatthew Berman · Forward FutureMatthew Berman links higher Mac and iPad prices to the demand for memory driven by AI infrastructure.PricingAI cost & performance
54:29EN
20VC with Harry Stebbings· 27 juin 2026Podcast · 2 voixfomo CEO Paul Erlanger on Social Trading, Fundraising and Product GrowthInvité : Paul Erlanger · Anime : Harry StebbingsErlanger discusses building a trading app, raising from angels and venture firms, and combining social features with financial products.FintechCryptocurrencyProduct Strategy+2
1:57:46EN
Cognitive Revolution "How AI Changes Everything"· 27 juin 2026Podcast30% Consciousness, 47% Bee, 80% Turnover: Putting Numbers on What AI Is BecomingAnime : Nathan LabenzA Cognitive Revolution weekly cut that starts inside the model with Cameron Berg, then zooms out through gradual disempowerment, Europe’s bind, and the companies rebuilding around agents.Entreprise et stratégieSécurité et gouvernanceAI research+3
1:08EN
Matthew Berman· 26 juin 2026Matthew Berman Criticizes GPT-5.6’s Restricted PreviewMatthew Berman · Forward FutureA June 2026 reaction to the government-requested staged release argues that limited access disadvantages independent builders.AI RegulationAI StrategyOpenAI+1
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