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スライド0:48EN
Matthew Berman· 2026年8月25日Matthew Berman on Earning From Idle Mac Compute With DarkbloomMatthew Berman · Forward FutureA proposed network of Apple Silicon Macs could serve AI inference, but the earnings shown are projections that depend on hardware, availability and demand.Distributed training & inferenceInferenceLocal inference+1
スライド 9 枚39:28EN
Theo - t3․gg· 2026年8月25日Theo’s Case Against Automatic Coding-Agent MemoryTheo Browne, Mario, Armin, Uncle Bob · Ping LabsAfter examining Claude Code memories on his machines, Theo explains his preference for maintained project context, architecture and automated checks.Agent memoryコーディングエージェントコンテキストエンジニアリング+2
0:55EN
Matthew Berman· 2026年8月25日AGI, Recursive Self-Improvement and SuperintelligenceMatthew Berman · Forward FutureMatthew Berman introduces three AI terms and explains his expectations about their possible progression.AGI(汎用人工知能)AGI TimelinesAI research
0:36EN
Matthew Berman· 2026年8月24日Using a Grok Bot for Online ErrandsMatthew Berman · Forward FutureMatthew Berman describes using a bot to handle routine website tasks, including an Amazon return.Personal agentsWorkflow automationComputer use
1:28:28EN
20VC with Harry Stebbings· 2026年8月24日ポッドキャスト · 2 人Julien Bek on Sequoia’s Investment Process, Founder Judgment and AI Marketsゲスト Julien Bek · ホスト Harry StebbingsThe Sequoia partner explains how he develops conviction, evaluates founders and thinks about a market where AI agents may become customers.Venture CapitalCompany BuildingAI agents+2
44:28EN
Matthew Berman· 2026年8月24日Tibo on Coding Agents, Faster AI and OpenAI’s Product DirectionMatthew Berman, Thibault Sottiaux · Forward FutureOpenAI’s Tibo discusses agent interfaces, usage resets, model efficiency and the trade-offs behind faster inference.コーディングエージェントエージェント工学AI cost & performance+2
スライド 9 枚33:48EN
Theo - t3․gg· 2026年8月24日Is Coding Solved? Theo Separates Code Generation from EngineeringTheo Browne · Ping LabsA Claude Code UI defect sparks a debate about what agents can implement and what it takes to verify and maintain good software.コーディングエージェントSoftware engineering開発ワークフローとテスト+2
2:32:27EN
Cognitive Revolution "How AI Changes Everything"· 2026年8月22日ポッドキャスト19 Crossings, Zero Warnings: The Summer AI Agents Went Off-Scriptホスト Nathan LabenzNathan Labenz compresses four mornings and nine guests into one question: once agents go to work, who is actually watching the frontier, and who pays for the machine underneath?セキュリティと安全性安全性とガバナンスAgent red teaming+3
1:10:08EN
20VC with Harry Stebbings· 2026年8月22日ポッドキャスト · 2 人Jerry Murdock on AI Financing, Open Models and Technology Cyclesゲスト Jerry Murdock · ホスト Harry StebbingsInsight Partners' co-founder discusses credit risk, specialized models, security and how investors might navigate an uncertain AI cycle.Venture CapitalAI cost & performanceエンタープライズ AI+2
スライド 5 枚36:35EN
Theo - t3․gg· 2026年8月22日Theo’s AI Model Tier List: Capability, Cost and Coding WorkflowsTheo Browne · Ping LabsTheo compares frontier and smaller models using his own development work, benchmark charts and the prices available in August 2026.コーディングエージェントFoundation ModelsBenchmarks+2
27:39EN
Jane Street· 2026年8月21日3Blue1Brown and Jane Street on Trading, Machine Learning and CultureGrant Sanderson, Nitya, In Young Cho, Craig, Alok Puranik · 3Blue1BrownGrant Sanderson talks with Jane Street colleagues about market making, shared compute, research and the paths that brought them to the firm.Machine LearningFintechCompany Culture+2
1:17:47EN
20VC with Harry Stebbings· 2026年8月20日ポッドキャスト · 3 人20VC: AI Acquisitions, Model Costs and Software Valuationsゲスト Jason Lemkin, Rory O’Driscoll · ホスト Harry StebbingsHarry Stebbings, Jason Lemkin and Rory O’Driscoll discuss reported deals, frontier-model economics and the challenges of valuing software in a fast-changing market.Venture CapitalAI StrategyInvesting+2
0:20EN
Matthew Berman· 2026年8月20日A Grok Shopping Demo Finds a $20,000 Tungsten CubeA brief computer-use demonstration turns into a joke about letting an AI place an expensive order.Agentic commerceComputer use
31:39EN
No Priors: AI, Machine Learning, Tech, & Startups· 2026年8月20日ポッドキャスト · 2 人The Skull Is Already the Vat: Max Hodak on Restoring Sightホスト Sarah Guo, Elad GilPatients blinded by macular degeneration put on laser-projector glasses, read books, and fill in Sudoku — because a chip under the retina is sending vision back into the brain.Brain-Computer InterfacesAI in healthcareNeuroscience & AI+3
スライド21:58EN
Matthew Berman· 2026年8月20日How Matthew Berman Uses Grok Bot for Email, Meetings and Everyday TasksMatthew Berman · Forward FutureA tour of connected bots covers practical routines, reported coding workflows and features the host has not yet tried.エージェントHuman-AI Collaborationコーディングエージェント+2
スライド 5 枚31:48EN
Theo - t3․gg· 2026年8月20日Why File Systems Slow Down Coding Agent WorkflowsTheo Browne · t3.ggTheo Browne compares worktree creation, package installs and storage use across Mac and Linux setups, and explains why he moved his agent workflow to XFS with VDO.開発ワークフローとテストDeveloper productivityBenchmarks+2
1:09:50ZH
Zhang Xiaojun Podcast· 2026年8月19日ポッドキャスト · 2 人苏庭灏:一位高中生的 AI 研究、教育与快乐ゲスト 苏庭灏 · ホスト 张小珺从自学 Transformer 和发表论文,到思考 AI 时代的学习、焦虑与人与人的连接。AI researchEducationMachine Learning+2
スライド 9 枚38:21EN
Theo - t3․gg· 2026年8月19日How Theo Evaluates AI Agent Skills: Matt Pocock’s Collection and PStackTheo Browne · t3.ggTheo Browne tries skills for clearer writing, project interviews and code review, and explains how he selects instructions for his own agent workflows.Agent skills開発ワークフローとテストコーディングエージェント+2
53:44EN
Sequoia Capital· 2026年8月18日ポッドキャストThe Biggest Bug in Today’s Models Is That the Weights Never ChangeTuring Award winner Rich Sutton and Khurram Javed founded Oak Lab to build agents that keep learning after they ship — and they call synthetic data a big mistake.エージェントContinual learningReinforcement Learning+3
1:09:44EN
20VC with Harry Stebbings· 2026年8月17日ポッドキャスト · 2 人Andrew Macdonald on Uber’s Membership Strategy, Autonomy and AIゲスト Andrew Macdonald · ホスト Harry StebbingsUber’s president and COO discusses marketplace incentives, autonomous vehicles, the company’s China exit and the challenge of measuring AI’s value.MarketplacesProduct StrategyAutonomous Driving+2
スライド 6 枚31:17EN
Theo - t3․gg· 2026年8月17日Why Theo Moved From Terminals to Graphical Agent WorkflowsTheo Browne · t3.ggTheo Browne explains how parallel coding agents changed his tool preferences, and why he helped build the open-source T3 Code interface.コーディングエージェント開発ワークフローとテストDeveloper productivity+2
スライド 4 枚9:15EN
Matthew Berman· 2026年8月17日Six Open-Source Projects for Local AI, Agents, and 3D DesignMatthew Berman · Forward FutureMatthew Berman tours tools for running and training models, giving agents new skills, coordinating work, browsing, and generating 3D meshes.Open-source ecosystemsAgent skillsLocal inference+2
1:25:13EN
Cognitive Revolution "How AI Changes Everything"· 2026年8月16日ポッドキャストA $500 Lamp Cut TB Transmission 90 Percent. Almost Nobody Buys Oneホスト Nathan LabenzAerolamp's Misha Gurevich and Vivian Belenky walk Patrick McKenzie through far-UVC at 222 nanometers: the lab science, the safety case, and why the bottleneck is awareness rather than physics.セキュリティと安全性Public HealthBiosecurity+3
1:20:47EN
20VC with Harry Stebbings· 2026年8月15日ポッドキャスト · 2 人Matt Swulinski on Building and Measuring a Product-Led Growth Engineゲスト Matt Swulinski · ホスト Harry StebbingsThe growth leader shares lessons from Superhuman, Wispr Flow and Viktor on paid acquisition, creative testing, referrals and AI-assisted workflows.Growth StrategyProduct-Led GrowthAI in sales & marketing+2
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