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0:48ENMatthew 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.
39:28ENTheo’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.
0:55ENAGI, Recursive Self-Improvement and SuperintelligenceMatthew Berman · Forward FutureMatthew Berman introduces three AI terms and explains his expectations about their possible progression.
0:36ENUsing a Grok Bot for Online ErrandsMatthew Berman · Forward FutureMatthew Berman describes using a bot to handle routine website tasks, including an Amazon return.
1:28:28ENJulien Bek on Sequoia’s Investment Process, Founder Judgment and AI Markets게스트 Julien Bek · 진행자 Harry StebbingsThe Sequoia partner explains how he develops conviction, evaluates founders and thinks about a market where AI agents may become customers.
44:28ENTibo 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.
33:48ENIs 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.
2:32:27EN19 Crossings, Zero Warnings: The Summer AI Agents Went Off-Script진행자 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?
1:10:08ENJerry Murdock on AI Financing, Open Models and Technology Cycles게스트 Jerry Murdock · 진행자 Harry StebbingsInsight Partners' co-founder discusses credit risk, specialized models, security and how investors might navigate an uncertain AI cycle.
36:35ENTheo’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.
27:39EN3Blue1Brown 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.
1:17:47EN20VC: AI Acquisitions, Model Costs and Software Valuations게스트 Jason Lemkin, Rory O’Driscoll · 진행자 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.
0:20ENA 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.
31:39ENThe Skull Is Already the Vat: Max Hodak on Restoring Sight진행자 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.
21:58ENHow 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.
31:48ENWhy 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.
1:09:50ZH苏庭灏:一位高中生的 AI 研究、教育与快乐게스트 苏庭灏 · 진행자 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。
38:21ENHow 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.
53:44ENThe 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.
1:09:44ENAndrew Macdonald on Uber’s Membership Strategy, Autonomy and AI게스트 Andrew Macdonald · 진행자 Harry StebbingsUber’s president and COO discusses marketplace incentives, autonomous vehicles, the company’s China exit and the challenge of measuring AI’s value.
31:17ENWhy 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.
9:15ENSix 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.
1:25:13ENA $500 Lamp Cut TB Transmission 90 Percent. Almost Nobody Buys One진행자 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.
1:20:47ENMatt Swulinski on Building and Measuring a Product-Led Growth Engine게스트 Matt Swulinski · 진행자 Harry StebbingsThe growth leader shares lessons from Superhuman, Wispr Flow and Viktor on paid acquisition, creative testing, referrals and AI-assisted workflows.
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