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Slides17:26EN
Matthew Berman· Apr 29, 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 slides17:56EN
Matthew Berman· Apr 28, 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
Slides54:06EN
Theo - t3․gg· Apr 28, 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· Apr 27, 2026Podcast · 2 speakersAdam Foroughi on AppLovin, AI and Building a Lean CompanyGuest Adam Foroughi · Host 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· Apr 27, 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 slides22:06EN
Theo - t3․gg· Apr 27, 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 LanguagesDeveloper workflows & testing+2
2:38:48EN
Cognitive Revolution "How AI Changes Everything"· Apr 26, 2026PodcastA thousand searches for five cents, and a high score that did not require cheatingHost 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.Enterprise & strategyRetrieval-augmented generationSearch & retrieval+3
48:49EN
20VC with Harry Stebbings· Apr 25, 2026Podcast · 2 speakersAmjad Masad on Replit, Coding Agents and the Future of SoftwareGuest Amjad Masad · Host Harry StebbingsReplit’s CEO discusses model routing, software economics, maintenance and the changing roles of builders and engineers.Coding agentsAI StrategyCompany Building+2
2 slides17:21EN
Matthew Berman· Apr 25, 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 slides36:51EN
Theo - t3․gg· Apr 25, 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· Apr 24, 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 & deploymentSemiconductorsEnterprise AI+2
3:34:39EN
Zhang Xiaojun Podcast· Apr 24, 2026Podcast · 2 speakersLuo Fuli on Agent Frameworks, Model Training, and TeamworkGuest Luo Fuli · Host 张小珺Xiaomi’s model team leader discusses OpenClaw, long-context efficiency, post-training, and collaboration in a period of rapid change.AI agentsModels & trainingAgent engineering+2
Slides1:11EN
Matthew Berman· Apr 24, 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 slides27:08EN
Theo - t3․gg· Apr 24, 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.Coding agentsOpenAIAI cost & performance+2
1:50:05EN
20VC with Harry Stebbings· Apr 23, 2026Podcast · 3 speakersCursor Deal Claims, AI Valuations and the Enterprise Agent Race: A 20VC RoundtableGuest Jason Lemkin, Rory O’Driscoll · Host 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 CapitalEnterprise AIInvesting+2
9 slides47:32EN
Matthew Berman· Apr 23, 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 StrategyCoding agentsAI cost & performance+1
0:28EN
Matthew Berman· Apr 23, 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.PricingCoding agentsAnthropic
3:36:29EN
Cognitive Revolution "How AI Changes Everything"· Apr 23, 2026PodcastClaude Rated Its Own Welfare 4.49 — the First Time Any Version Crossed NeutralHost 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.Safety & governanceModel InterpretabilityAI research+3
39:48EN
No Priors: AI, Machine Learning, Tech, & Startups· Apr 23, 2026Podcast · 2 speakers400,000 Customers, 20,000 APIs: SAP's CTO on the Hard Exam of Enterprise AIHost Sarah Guo, Elad GilPhilipp Herzig tells No Priors how SAP is rebuilding the company operating system for AI, and why scale, evals, and pricing will decide who wins.Enterprise & strategyEnterprise AIAI Strategy+3
8 slides1:41:11EN
Matthew Berman· Apr 22, 2026Anthropic’s Usage Limits, Compute Constraints and Competition: A Livestream DiscussionMatthew Berman, Dario Amodei · Forward FutureMatthew Berman examines Claude Code pricing tests, third-party agent rules and capacity pressures, contrasting Anthropic’s approach with OpenAI and other competitors.AnthropicCoding agentsInfrastructure & deployment+2
2 slides26:20EN
Theo - t3․gg· Apr 22, 2026Cal.com’s Closed Core and the Future of Open-Source SecurityTheo Browne · T3Theo Browne discusses AI-assisted vulnerability discovery, open-versus-closed tradeoffs and the work maintainers face.Open-source ecosystemsAI securitySecurity & safety+2
5 slides37:54EN
Theo - t3․gg· Apr 21, 2026A First Look at Claude Design: From Visual Prototype to Code HandoffTheo Browne · T3Theo Browne redesigns a T3 Code landing page to test visual feedback, usage limits and handoff to Claude Code.Product DesignHuman-AI CollaborationCoding agents+2
6 slides3:01:44EN
Matthew Berman· Apr 21, 2026Children, AI Overuse and a Live Test of ChatGPT Images 2Matthew Berman, Jonah, Brian · Forward FutureMatthew Berman discusses supervision and balance, then tests image generation with maps, math, code and visual prompts.Generative mediaAI SafetyHuman-AI Collaboration
54:54EN
20VC with Harry Stebbings· Apr 20, 2026Podcast · 2 speakersAaron Levie on Enterprise AI, Software Value and the Future of WorkGuest Aaron Levie · Host Harry StebbingsThe Box CEO discusses how agents could reshape enterprise workflows, token budgets and software markets while humans remain involved.Enterprise AIAI StrategyFuture of Work+2
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