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50:57EN
Unsupervised Learning: With Jacob Effron· 9 juil. 2026PodcastA Trillion Dollars of GPUs Will Be Worth $100 Billion in Five Years, Says LSTM's Jürgen SchmidhuberAnime : Jacob EffronThe AI pioneer tells Unsupervised Learning's Jacob Effron why he is wildly optimistic about the technology and deeply pessimistic about the model companies buying the chips.Modèles et entraînementAGIAI research+3
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20VC with Harry Stebbings· 9 juil. 2026Podcast · 3 voix20VC on AI Regulation, Compute Economics and Enterprise AdoptionInvité : Jason Lemkin, Rory O’Driscoll · Anime : Harry StebbingsHarry Stebbings, Jason Lemkin and Rory O’Driscoll debate reported AI policy proposals, infrastructure spending, software deployment and startup liquidity.AI StrategyVenture CapitalIA en entreprise+2
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No Priors: AI, Machine Learning, Tech, & Startups· 9 juil. 2026Podcast · 2 voixThere is no moat: Booking’s CEO on a $1 stock, agentic travel, and why AI still doesn’t move the numbersAnime : Sarah Guo, Elad GilGlenn Fogel cashed his 1999 bonus, joined Priceline in February 2000, and watched the Nasdaq peak a week later — then spent 25 years turning a near-delisting into a thousand-fold ride he now wants to spend on AI travel agents.Entreprise et stratégieIA en entrepriseAI Strategy+3
2 diapositives1:06EN
Matthew Berman· 9 juil. 2026Two GPT-5.6 Coding Demos: A Block World and a SpreadsheetMatthew Berman · Forward FutureMatthew Berman shows a Minecraft-like game and an Excel-like application built with Codex and GPT-5.6.Agents de codeComputer useDeveloper productivity
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Theo - t3․gg· 8 juil. 2026Theo on Guilt-Merging Pull Requests and Questioning CodeTheo Browne · Ping LabsA short reflection on why developers sometimes accept changes they do not think are right.Code review & verificationSoftware engineeringCoding Culture
8 diapositives25:34EN
Matthew Berman· 8 juil. 2026Anthropic’s J-Space Research: What Its Experiments Reveal and What Remains UnknownMatthew Berman · Forward FutureMatthew Berman examines experiments on internal representations in Claude, from causal interventions to safety auditing and the limits of consciousness claims.Model InterpretabilityAI researchAI Safety+2
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Matthew Berman· 8 juil. 2026What Anthropic’s J-Space Research Suggests About AI ReasoningMatthew Berman · Forward FutureMatthew Berman discusses internal model representations, interventions and the question of consciousness, while the research itself describes important limits.Model InterpretabilityReasoning & test-time computeConsciousness & Intelligence
7 diapositives28:11EN
Theo - t3․gg· 7 juil. 2026The Tradeoffs of Running Open-Weight AI Models LocallyTheo Browne · Ping LabsTheo Browne separates the value of open weights from the hardware, concurrency and cost constraints of local inference.Local inferenceOpen-weight modelsAI cost & performance+2
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Theo - t3․gg· 7 juil. 2026Theo Asks Why Teams Need a Separate System for Environment FilesTheo Browne · Ping LabsA brief prompt to reconsider how development teams share environment configuration.Workflows de développement et testsSécuritéSoftware engineering
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Sequoia Capital· 7 juil. 2026PodcastThe drone is 15% of Zipline: 140 million miles, zero incidentsKeller Rinaudo Cliffton and Eric Watson explain why the aircraft is the small part of an automated logistics system now cheaper than a car.Infrastructure et déploiementRoboticsAutonomous Systems+3
Diapositives0:24EN
Matthew Berman· 7 juil. 2026Claude Fable 5 Access Extended Through July 12, 2026Matthew Berman · Forward FutureMatthew Berman reports a short extension for paid Claude subscribers, without a reset of their existing usage quota.Modèles et entraînement
3 diapositives18:34EN
Matthew Berman· 7 juil. 2026Model Routing for AI Coding: A Worked Cost ExampleMatthew Berman · Forward FutureMatthew Berman separates planning, implementation and review to explain how different models can fit different tasks.AI cost & performanceIngénierie d’agentsDeveloper productivity
4:41EN
Jane Street· 6 juil. 2026Inside Jane Street’s Internship: Projects, Mentorship and LearningCody · Jane StreetInterns and employees describe collaborative interviews, learning finance from the basics, and working on projects used by the firm.CareersCompany CultureMachine Learning+1
Diapositives0:20EN
Theo - t3․gg· 6 juil. 2026Theo on Markdown Files as Instructions for Coding AgentsTheo Browne · Ping LabsA short observation about how agent tools can change the scale of a software idea.Agents de codeProduct StrategyIngénierie d’agents
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20VC with Harry Stebbings· 6 juil. 2026Podcast · 2 voixMike Mignano on AI Applications, Open Models and Venture StrategyInvité : Mike Mignano · Anime : Harry StebbingsThe USV partner discusses AI agents, token spending and the opportunities and risks for startups building above the model layer.Venture CapitalAI StrategyAI agents+2
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
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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
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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
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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
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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
9 diapositives18:02EN
AI Explained· 2 juil. 2026Fable 5 and GPT-5.6 Sol: An Early Look at Capability, Price and SafetyWith Sol still in limited preview, AI Explained compares the available system cards and examines access restrictions and safety tradeoffs.Modèles et entraînementBenchmarksAI Safety+1
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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
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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
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