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Folien17:26EN
Matthew Berman· 29. Apr. 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 Folien17:56EN
Matthew Berman· 28. Apr. 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
Folien54:06EN
Theo - t3․gg· 28. Apr. 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. Apr. 2026Podcast · 2 StimmenAdam Foroughi on AppLovin, AI and Building a Lean CompanyGast: Adam Foroughi · Moderation: 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. Apr. 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 Folien22:06EN
Theo - t3․gg· 27. Apr. 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 LanguagesEntwicklungs-Workflows & Tests+2
2:38:48EN
Cognitive Revolution "How AI Changes Everything"· 26. Apr. 2026PodcastA thousand searches for five cents, and a high score that did not require cheatingModeration: 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.Unternehmen & StrategieRetrieval-Augmented GenerationSearch & retrieval+3
48:49EN
20VC with Harry Stebbings· 25. Apr. 2026Podcast · 2 StimmenAmjad Masad on Replit, Coding Agents and the Future of SoftwareGast: Amjad Masad · Moderation: Harry StebbingsReplit’s CEO discusses model routing, software economics, maintenance and the changing roles of builders and engineers.Coding-AgentenAI StrategyCompany Building+2
2 Folien17:21EN
Matthew Berman· 25. Apr. 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 Folien36:51EN
Theo - t3․gg· 25. Apr. 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. Apr. 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.Infrastruktur & DeploymentSemiconductorsEnterprise-KI+2
3:34:39EN
Zhang Xiaojun Podcast· 24. Apr. 2026Podcast · 2 StimmenLuo Fuli on Agent Frameworks, Model Training, and TeamworkGast: Luo Fuli · Moderation: 张小珺Xiaomi’s model team leader discusses OpenClaw, long-context efficiency, post-training, and collaboration in a period of rapid change.AI agentsModelle & TrainingAgent Engineering+2
Folien1:11EN
Matthew Berman· 24. Apr. 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 Folien27:08EN
Theo - t3․gg· 24. Apr. 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-AgentenOpenAIAI cost & performance+2
1:50:05EN
20VC with Harry Stebbings· 23. Apr. 2026Podcast · 3 StimmenCursor Deal Claims, AI Valuations and the Enterprise Agent Race: A 20VC RoundtableGast: Jason Lemkin, Rory O’Driscoll · Moderation: 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-KIInvesting+2
9 Folien47:32EN
Matthew Berman· 23. Apr. 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-AgentenAI cost & performance+1
0:28EN
Matthew Berman· 23. Apr. 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-AgentenAnthropic
3:36:29EN
Cognitive Revolution "How AI Changes Everything"· 23. Apr. 2026PodcastClaude Rated Its Own Welfare 4.49 — the First Time Any Version Crossed NeutralModeration: 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.Sicherheit & GovernanceModel InterpretabilityAI research+3
39:48EN
No Priors: AI, Machine Learning, Tech, & Startups· 23. Apr. 2026Podcast · 2 Stimmen400,000 Customers, 20,000 APIs: SAP's CTO on the Hard Exam of Enterprise AIModeration: 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.Unternehmen & StrategieEnterprise-KIAI Strategy+3
8 Folien1:41:11EN
Matthew Berman· 22. Apr. 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-AgentenInfrastruktur & Deployment+2
2 Folien26:20EN
Theo - t3․gg· 22. Apr. 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 securitySicherheit+2
5 Folien37:54EN
Theo - t3․gg· 21. Apr. 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-Agenten+2
6 Folien3:01:44EN
Matthew Berman· 21. Apr. 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· 20. Apr. 2026Podcast · 2 StimmenAaron Levie on Enterprise AI, Software Value and the Future of WorkGast: Aaron Levie · Moderation: Harry StebbingsThe Box CEO discusses how agents could reshape enterprise workflows, token budgets and software markets while humans remain involved.Enterprise-KIAI StrategyFuture of Work+2
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