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1:09:44ENAndrew Macdonald on Uber’s Membership Strategy, Autonomy and AIGast: Andrew Macdonald · Moderation: 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 OneModeration: 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 EngineGast: Matt Swulinski · Moderation: Harry StebbingsThe growth leader shares lessons from Superhuman, Wispr Flow and Viktor on paid acquisition, creative testing, referrals and AI-assisted workflows.
0:18ENTheo Discusses Elon Musk’s Grok 4.7 PreviewTheo Browne · Ping LabsTheo reacts to Musk’s August 2026 claims about the next Grok model, its training and an expected release window.
31:58ENClaude’s AI Watermarks and the Limits of Detecting Generated ContentTheo Browne · t3.ggTheo Browne examines Anthropic’s marking plans, the challenge of text watermarks, and what signed provenance can and cannot establish.
13:09ENAI News: Ultrafast Inference, Claude Watermarks and New ModelsMatthew Berman · Forward FutureMatthew Berman reviews an ultrafast coding preview, text watermarking, Grok Bot, open-weight models and Computer History.
2:06:11ENLindy Runs on DeepSeek. Its CEO Still Wants Chinese Models BannedModeration: Nathan LabenzFlo Crivello tells Nathan Labenz how Lindy Teammate lives in Slack, reaches two billion tokens of memory in two model calls, and why he would still outlaw the cheap Chinese models that currently power the product.
3:36:13ENNVIDIA’s Ming-Yu Liu on Cosmos, Physical AI, and Creating New MarketsGast: Ming-Yu Liu · Moderation: 张小珺NVIDIA research VP Ming-Yu Liu explains how a decade of generative-model research led to Cosmos 3, a world foundation model for Physical AI. He also shares what he learned from Jensen Huang about long-term bets, teamwork, and building markets instead of fighting over existing ones.
46:08ENComputers Beat Humans at Chess 30 Years Ago. Chess.com Still Has 250 Million PlayersModeration: Sarah Guo, Elad GilChess.com CEO Erik Allebest tells Sarah Guo how a $56,000 domain became a $200 million business, and why superhuman AI made chess more popular, not obsolete.
25:31ENGrok 4.6: Better Agent Benchmarks, With Tradeoffs in Speed and CostTheo Browne · t3.ggTheo Browne tests Grok 4.6 on design, games and real code, weighing reported benchmark gains against his experience of slower and costlier tasks.
1:29:42EN20VC on AI Competition, Founder Control and Software ValuationsGast: Jason Lemkin, Rory O’Driscoll · Moderation: Harry StebbingsHarry Stebbings, Jason Lemkin and Rory O’Driscoll debate how AI is reshaping software markets, talent, infrastructure and investor incentives.
3:12:58ENOne Cold Shower, Twenty Champions: How Khabib Nurmagomedov Was ForgedGast: Khabib Nurmagomedov · Moderation: Lex FridmanIn a Makhachkala school gym, seventy men shared one shower, and the water was only cold.
3:36:13ZH刘洺堉:Cosmos 世界模型与物理 AI 的长期路线Gast: 刘洺堉 · Moderation: 张小珺从图像生成、研究管理到 Cosmos 3,英伟达研究负责人讨论如何为物理 AI 构建基础。
1:07ENMatthew Berman on Relay: Routing Coding Work Across ModelsMatthew Berman · Forward FutureA short demonstration of a free coding skill that assigns planning, implementation and review to different models. Its cost comparison is one example, not a guarantee of savings or equivalent quality.
37:02ENMatthew Berman on Zuckerberg’s AI Vision and the Problem of Unequal ComputeMatthew Berman · Forward FutureA review of Meta’s case for widely distributed superintelligence asks whether access to the same models can overcome disparities in compute and energy.
51:15ENHow Theo Refined His AGENTS.md and Skills From Real Agent FailuresTheo Browne · t3.ggTheo Browne explains how he audits agent sessions, writes project guidance and shares skills across machines without treating his configuration as a template.
0:31ENTheo on Writing Skill Descriptions as TriggersTheo Browne · Ping LabsTheo argues that a skill description should help a model decide when to load the skill, rather than contain the entire procedure.
1:08:25ENAlex Atallah on OpenRouter, Model Competition and AI MarketplacesGast: Alex Atallah · Moderation: Harry StebbingsThe OpenRouter CEO discusses inference providers, open-weight models, enterprise safety and the economics of routing.
18:17ENMCP’s Stateless Redesign: What Changed and Why Theo Is OptimisticTheo Browne · Ping LabsThe July 2026 MCP specification replaces protocol sessions with self-describing requests. Theo examines the benefits, examples, and the problem of migrating older clients and servers.
1:56:40ENThe Periodic Table Was Already in the WeightsModeration: Nathan LabenzGoodfire CTO Dan Balsam tells Nathan Labenz how concept manifolds, predictive data debugging, and a $1,000-a-month research agent are turning interpretability into a product.
1:30:48ENDavid Frankel on Seed Investing, AI Winners and the Value of PatienceGast: David Frankel · Moderation: Harry StebbingsFounder Collective’s co-founder debates fund size, valuations and exits with Harry Stebbings, and explains why he expects both transformative AI companies and heavy losses.
13:58ENGoogle’s AI Leadership Changes and the Innovator’s DilemmaMatthew Berman · Forward FutureMatthew Berman considers Google’s research history, two leadership changes and an open-model strategy in August 2026.
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