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3 diapositives34:39EN
Theo - t3․gg· 1 mai 2026Claude Code’s Billing False Positive and Anthropic’s Developer Trust ProblemTheo Browne · T3Theo Browne examines a subscription billing false positive, explains prompt caching, and shares T3 Chat’s API costs.Agents de codeAnthropicAI cost & performance+2
10 diapositives1:42:41EN
Matthew Berman· 1 mai 2026Testing AI Reasoning, App Store Lookalikes and the Debate Over AnthropicMatthew Berman · Forward FutureIn a May 2026 livestream, Matthew Berman tests a car-wash prompt, discusses AI subscription limits and considers reported employee monitoring for model training.AI agentsBenchmarksPrompting & in-context learning+2
1:48:43EN
Cognitive Revolution "How AI Changes Everything"· 1 mai 2026PodcastThe reward jumped from 3 to 180. Every Hacker News title was a Google layoff.Anime : Nathan LabenzCoreWeave's Kyle Corbitt walks Nathan Labenz through GRPO, rubrics, RL environments, and why most reward hacks are easy to catch once you know to look.Modèles et entraînementReinforcement LearningPost-training+3
1:28:19EN
20VC with Harry Stebbings· 30 avr. 2026Podcast · 3 voixAI Compute, Private Equity and the Narrowing Exit: A 20VC RoundtableInvité : Jason Lemkin, Rory O’Driscoll · Anime : Harry StebbingsJason Lemkin and Rory O’Driscoll debate reported AI financing, software’s future and what private-equity losses could mean for venture investors.Venture CapitalAI cost & performanceIA en entreprise+2
4 diapositives35:10EN
Theo - t3․gg· 30 avr. 2026GitHub Reliability, Merge Errors and Developer TrustTheo Browne · T3Theo Browne examines outages, a merge-queue incident, security and the future of open-source collaboration.Workflows de développement et testsObservabilité et fiabilitéOpen-source ecosystems+2
6 diapositives38:58EN
Theo - t3․gg· 29 avr. 2026What Tech Stack Does Claude Code Choose? A Study and Its LimitsTheo Browne · T3Theo Browne examines coding-agent tool choices, DIY tendencies and examples comparing Claude Code with Codex.Agents de codeWorkflows de développement et testsSoftware engineering+2
Diapositives17:26EN
Matthew Berman· 29 avr. 2026Matthew Berman on Funding US Open-Weight AI in Competition With ChinaMatthew Berman · Forward FutureBerman argues that open models face a financing problem and proposes public support, hardware-backed development and specialized models.Open-weight modelsAI StrategyGeopolitics+2
2 diapositives17:56EN
Matthew Berman· 28 avr. 2026Children, AI Sycophancy and Environmental Trade-offsMatthew Berman · Forward FutureMatthew Berman discusses a parent’s objections to a child using AI, then weighs supervised learning, chatbot reliability and data-center impacts.AI SafetyHuman-AI CollaborationMental Health+2
Diapositives54:06EN
Theo - t3․gg· 28 avr. 2026Learning to Code and Finding Opportunities as a New DeveloperTheo Browne · T3Theo Browne reflects on the circumstances behind his first job and discusses feedback, community, AI-assisted learning and human connections.Career GrowthDeveloper productivitySoftware engineering+2
1:20:29EN
20VC with Harry Stebbings· 27 avr. 2026Podcast · 2 voixAdam Foroughi on AppLovin, AI and Building a Lean CompanyInvité : Adam Foroughi · Anime : Harry StebbingsAppLovin’s CEO discusses staff cuts, AI-assisted engineering, compensation and public-market decisions, offering his account of a volatile company turnaround.Company BuildingLeadershipAI Adoption+2
1:35EN
Matthew Berman· 27 avr. 2026DeepSeek V4 and the Cost of Frontier AI ModelsMatthew Berman · Forward FutureMatthew Berman argues that an open-weight Chinese model could put price pressure on US AI providers. The comparison depends on the workload, evaluation and cost assumptions.Foundation ModelsAI cost & performanceOpen-weight models+1
4 diapositives22:06EN
Theo - t3․gg· 27 avr. 2026Markdown’s Simplicity and Complexity: Syntax, Extensions and SecurityTheo Browne · T3Theo Browne examines a critique of Markdown, from equivalent syntax to inline HTML and the complexity of document processing.Software engineeringProgramming LanguagesWorkflows de développement et tests+2
2:38:48EN
Cognitive Revolution "How AI Changes Everything"· 26 avr. 2026PodcastA thousand searches for five cents, and a high score that did not require cheatingAnime : Nathan LabenzOn a Cognitive Revolution morning show, Ceramic’s Anna Patterson collides cheap search with GPT-5.5’s clean Vending-Bench run, Zvi’s case for model welfare, and analog chips that cut matrix-multiply energy about thirtyfold.Entreprise et stratégieGénération augmentée par récupérationSearch & retrieval+3
48:49EN
20VC with Harry Stebbings· 25 avr. 2026Podcast · 2 voixAmjad Masad on Replit, Coding Agents and the Future of SoftwareInvité : Amjad Masad · Anime : Harry StebbingsReplit’s CEO discusses model routing, software economics, maintenance and the changing roles of builders and engineers.Agents de codeAI StrategyCompany Building+2
2 diapositives17:21EN
Matthew Berman· 25 avr. 2026DeepSeek V4, Model Efficiency and the US–China AI DebateMatthew Berman · Forward FutureMatthew Berman examines DeepSeek’s April 2026 V4 preview and argues that efficient open-weight models raise questions for American AI providers and policymakers.Open-weight modelsAI cost & performanceGeopolitics+2
2 diapositives36:51EN
Theo - t3․gg· 25 avr. 2026Fake GitHub Stars and Open-Source Traction: What the Numbers Can ShowTheo Browne · T3Theo Browne examines research on fake stars, challenges simple funding narratives and discusses broader project due diligence.Open-source ecosystemsData quality & curationVenture Capital+2
53:30EN
Matthew Berman· 24 avr. 2026Thomas Kurian on Google Cloud’s TPUs, AI Agents and CybersecurityMatthew Berman, Thomas Kurian · Forward FutureThe Google Cloud CEO explains how Google allocates compute between its own models and competitors, designs infrastructure for agents, and approaches security and code review.Infrastructure et déploiementSemiconductorsIA en entreprise+2
3:34:39EN
Zhang Xiaojun Podcast· 24 avr. 2026Podcast · 2 voixLuo Fuli on Agent Frameworks, Model Training, and TeamworkInvité : Luo Fuli · Anime : 张小珺Xiaomi’s model team leader discusses OpenClaw, long-context efficiency, post-training, and collaboration in a period of rapid change.AI agentsModèles et entraînementIngénierie d’agents+2
Diapositives1:11EN
Matthew Berman· 24 avr. 2026Anthropic’s Coding Flywheel and the Compute ConstraintMatthew Berman · Forward FutureMatthew Berman sketches a proposed feedback loop linking coding models, enterprise revenue, data and compute, then argues that capacity could slow it.AnthropicAI cost & performanceAI Strategy+1
5 diapositives27:08EN
Theo - t3․gg· 24 avr. 2026GPT-5.5 in Early Use: Capability, Cost and the Challenge of SteeringTheo Browne · T3Theo Browne compares benchmarks with personal project tests and discusses the gap between capability and following intent.Agents de codeOpenAIAI cost & performance+2
1:50:05EN
20VC with Harry Stebbings· 23 avr. 2026Podcast · 3 voixCursor Deal Claims, AI Valuations and the Enterprise Agent Race: A 20VC RoundtableInvité : Jason Lemkin, Rory O’Driscoll · Anime : Harry StebbingsJason Lemkin and Rory O’Driscoll weigh a purported Cursor transaction, design software and enterprise agent infrastructure, while debating IPO and valuation risk.Venture CapitalIA en entrepriseInvesting+2
9 diapositives47:32EN
Matthew Berman· 23 avr. 2026Claude Code Subscription Changes and the AI Compute CompetitionMatthew Berman, Dario Amodei · Forward FutureMatthew Berman examines a pricing-page test, third-party agent restrictions and competing claims about compute capacity and customer access.AI StrategyAgents de codeAI cost & performance+1
0:28EN
Matthew Berman· 23 avr. 2026A Brief Claude Code Pricing-Page Change Drew CriticismMatthew Berman · Forward FutureMatthew Berman reacts to a 2026 pricing-page change that appeared to remove Claude Code from Pro. The listing was later restored.PricingAgents de codeAnthropic
3:36:29EN
Cognitive Revolution "How AI Changes Everything"· 23 avr. 2026PodcastClaude Rated Its Own Welfare 4.49 — the First Time Any Version Crossed NeutralAnime : Nathan LabenzCameron Berg returns to The Cognitive Revolution to survey six months of introspection, functional-emotion, and model-welfare research, plus a still-unpublished case that learning and feeling may be the same phenomenon.Sécurité et gouvernanceModel InterpretabilityAI research+3
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