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3,962 件
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1:20:29EN
20VC with Harry Stebbings· 2026年4月27日ポッドキャスト · 2 人Adam Foroughi on AppLovin, AI and Building a Lean Companyゲスト Adam Foroughi · ホスト 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· 2026年4月27日DeepSeek 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
スライド 4 枚22:06EN
Theo - t3․gg· 2026年4月27日Markdown’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 Languages開発ワークフローとテスト+2
2:38:48EN
Cognitive Revolution "How AI Changes Everything"· 2026年4月26日ポッドキャストA thousand searches for five cents, and a high score that did not require cheatingホスト 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.企業と戦略検索拡張生成(RAG)Search & retrieval+3
48:49EN
20VC with Harry Stebbings· 2026年4月25日ポッドキャスト · 2 人Amjad Masad on Replit, Coding Agents and the Future of Softwareゲスト Amjad Masad · ホスト Harry StebbingsReplit’s CEO discusses model routing, software economics, maintenance and the changing roles of builders and engineers.コーディングエージェントAI StrategyCompany Building+2
スライド 2 枚17:21EN
Matthew Berman· 2026年4月25日DeepSeek 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
スライド 2 枚36:51EN
Theo - t3․gg· 2026年4月25日Fake 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
スライド 5 枚25:19EN
AI Explained· 2026年4月24日GPT-5.5 and DeepSeek V4: Benchmarks, Costs and Compute LimitsSam Altman, Greg Brockman · OpenAIAI Explained compares coding, uncertainty and safety tests while asking what cheaper models and scarce compute mean for deployment.Foundation ModelsBenchmarksAI cost & performance+2
53:30EN
Matthew Berman· 2026年4月24日Thomas 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.インフラとデプロイSemiconductorsエンタープライズ AI+2
3:34:39EN
Zhang Xiaojun Podcast· 2026年4月24日ポッドキャスト · 2 人Luo Fuli on Agent Frameworks, Model Training, and Teamworkゲスト Luo Fuli · ホスト 张小珺Xiaomi’s model team leader discusses OpenClaw, long-context efficiency, post-training, and collaboration in a period of rapid change.AI agentsモデルと学習エージェント工学+2
スライド1:11EN
Matthew Berman· 2026年4月24日Anthropic’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
スライド 5 枚27:08EN
Theo - t3․gg· 2026年4月24日GPT-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.コーディングエージェントOpenAIAI cost & performance+2
1:50:05EN
20VC with Harry Stebbings· 2026年4月23日ポッドキャスト · 3 人Cursor Deal Claims, AI Valuations and the Enterprise Agent Race: A 20VC Roundtableゲスト Jason Lemkin, Rory O’Driscoll · ホスト 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 Capitalエンタープライズ AIInvesting+2
スライド 9 枚47:32EN
Matthew Berman· 2026年4月23日Claude 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 StrategyコーディングエージェントAI cost & performance+1
0:28EN
Matthew Berman· 2026年4月23日A 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.PricingコーディングエージェントAnthropic
3:36:29EN
Cognitive Revolution "How AI Changes Everything"· 2026年4月23日ポッドキャストClaude Rated Its Own Welfare 4.49 — the First Time Any Version Crossed Neutralホスト 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.安全性とガバナンスModel InterpretabilityAI research+3
39:48EN
No Priors: AI, Machine Learning, Tech, & Startups· 2026年4月23日ポッドキャスト · 2 人400,000 Customers, 20,000 APIs: SAP's CTO on the Hard Exam of Enterprise AIホスト 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.企業と戦略エンタープライズ AIAI Strategy+3
スライド 8 枚1:41:11EN
Matthew Berman· 2026年4月22日Anthropic’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.Anthropicコーディングエージェントインフラとデプロイ+2
スライド 2 枚26:20EN
Theo - t3․gg· 2026年4月22日Cal.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 securityセキュリティと安全性+2
スライド 5 枚37:54EN
Theo - t3․gg· 2026年4月21日A 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 Collaborationコーディングエージェント+2
スライド 6 枚3:01:44EN
Matthew Berman· 2026年4月21日Children, 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· 2026年4月20日ポッドキャスト · 2 人Aaron Levie on Enterprise AI, Software Value and the Future of Workゲスト Aaron Levie · ホスト Harry StebbingsThe Box CEO discusses how agents could reshape enterprise workflows, token budgets and software markets while humans remain involved.エンタープライズ AIAI StrategyFuture of Work+2
スライド 4 枚44:14EN
Theo - t3․gg· 2026年4月20日Did Claude Get Worse? Tracing Regressions Across the AI Coding StackTheo Browne · T3Theo Browne examines user reports, benchmarks, agent harnesses, tokenization and past infrastructure bugs to understand changing Claude Code performance.コーディングエージェントAnthropic評価とオブザーバビリティ+2
4:23:11ZH
Zhang Xiaojun Podcast· 2026年4月20日ポッドキャスト · 2 人洪乐潼:让 AI 学会数学,从形式化证明到创业ゲスト 洪乐潼 · ホスト 张小珺Axiom 创始人谈数学之美、用 Lean 验证证明,以及她如何从数学研究走向 AI 创业。AI for scienceAI researchProgramming Languages+2
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