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18:27ENCodex Workflow Tips: Browsing, Skills, Goals and Scheduled WorkMatthew Berman · Forward FutureMatthew Berman demonstrates desktop-agent workflows, including browser research, model selection and remote access.
0:42ENTheo on Using an AI Agent to Test Debugging HypothesesTheo Browne · Ping LabsWhen a model could not find a problem on its own, Theo asked it to build a tool for testing his theories.
47:22ENFrom One in a Thousand to 15 Percent: Chai Discovery Treats Drug Design as a Scaling ProblemJoshua Meier and Matthew McPartlon tell Sequoia’s Training Data why antibody design is an engineering problem, not a bespoke science, and why they sell a molecular CAD suite instead of their own drugs.
27:32ENHow Theo Diagnosed a T3 Code Rendering Problem with Coding AgentsTheo Browne · Ping LabsA fast-looking idle page heated a laptop. Theo used agent-built experiments to isolate animations and compositing effects after confident diagnoses missed the cause.
15:37ENMatthew Berman on Qwen3.8-Max, AI Costs and Open-Weight CompetitionMatthew Berman · Forward FutureA 2026 review of reported benchmark results and research demonstrations leads to questions about deployment economics and geopolitical dependence.
1:09:26ENAnastasios Angelopoulos on Arena, Open Models and AI Evaluation게스트 Anastasios Angelopoulos · 진행자 Harry StebbingsArena’s CEO discusses real-world model comparisons, enterprise AI control, security and the economics of evaluation.
23:37ENTheo on Linus Torvalds, AI Review and Open-Source MaintainersTheo Browne · Ping LabsA Linux mailing-list debate prompts a discussion of AI code review, maintainer workload and why developers experience tools differently.
2:16:29ENFrom Two Papers a Month to Sixty: What Two Weeks in China Revealed About AI Safety진행자 Nathan LabenzNathan Labenz argues that the familiar 'China will never slow down' line does not survive contact with the actual Chinese AI safety ecosystem.
0:40ENEnabling Max Reasoning Effort in CodexMatthew Berman · Forward FutureMatthew Berman shows an August 2026 settings menu for exposing Max reasoning effort and explains his preference for Luna.
32:18ENPacing the AI Frontier: Theo on Safety, Competition and CoordinationTheo Browne · Ping LabsA statement from AI-company employees asks for tools to coordinate the pace of automated AI development. Theo explores its risks and the difficulty of international agreement.
1:05:02ENJoon Sung Park on Simulating Human Behavior and Building Simile게스트 Joon Sung Park · 진행자 Harry StebbingsThe Simile co-founder explains his research on generative agents, the challenges of validating simulations, and his ambitions for a business built around modeling people.
34:30ENNetic's Agents Answer the Phone When the Heat Breaks진행자 Sarah Guo, Elad GilFounder Melisa Tokmak tells Elad Gil how a two-year-old platform became the AI operations layer for HVAC, roofing, pet care, and other essential services.
0:26ENTheo Reads NVIDIA’s Open-Weight Letter as a Signal to AnthropicTheo Browne · Ping LabsTheo points to Anthropic’s absence from a letter about open-weight models and offers his interpretation.
1:40:35ZH刘子鸣:用科学方法理解 AI,能否加速 AI 研究?게스트 刘子鸣 · 진행자 张小珺从 KAN 到元模型与自动化研究,刘子鸣讨论新型实验室的路线和仍待验证的问题。
1:04:14ENThe Man Who Helped Stand Up Colossus in 120 Days Is Betting on an AI That Lives in Your House진행자 Jacob EffronxAI co-founder Igor Babuschkin left to start River AI, arguing coding agents have crossed a threshold, closed labs are getting squeezed, and the next prize is personal, local intelligence.
32:11ENOpen-Weight AI: Theo Examines NVIDIA’s Letter and Anthropic’s ResponseTheo Browne · Ping LabsThe companies disagree about the balance between open access and safety, while both discuss targeted responses to distillation concerns.
0:50ENTheo Questions Codeberg’s Proposed Restriction on AI-Written CodeTheo Browne · Ping LabsTheo reacts to the proposal and asks his audience whether AI-generated or human-written packages are more likely to be secure.
1:40ENQualcomm's Edge-to-Cloud AI StrategyMatthew Berman · Forward FutureIn a sponsored short, Matthew Berman argues that AI infrastructure across devices and data centers could be an important business opportunity.
1:43:45ENA $300 Universal Jailbreak: Why FAR.AI Now Thinks Defense Can Win진행자 Nathan LabenzAdam Gleave walks through FAR.AI’s first head-to-head AI security leaderboard, and explains why a decade of offense-dominant thinking is starting to crack.
1:20:22EN20VC Roundtable on Open Weights, AI Spending and Software Investing게스트 Jason Lemkin, Rory O’Driscoll · 진행자 Harry StebbingsHarry Stebbings, Jason Lemkin and Rory O’Driscoll debate AI safety, chip investment, enterprise budgets and the future of software.
35:27ENJoe Salvatore on AI, Creative Direction and the Taste Behind a Brand게스트 Joe Salvatore · 진행자 Reid Hoffman, Parth PatilThe visual artist explains how he turns creative briefs into agent-driven advertising workflows—and why judgment and storytelling still matter.
54:57ENOpen-Weight AI: Competition, Safety and the Debate over AnthropicMatthew Berman · Forward FutureMatthew Berman argues for broad access to AI models, weighs the economics and security arguments, and responds to Dario Amodei’s position on open weights.
49:12ENThe People Writing the Transformer’s Eulogy Want a Lab That Can Take Vacation Without Themo1’s reasoning lead and a Gemini pre-training lead argue the architecture, not more scale, is now the bottleneck — and that replacing it starts with automating kernel generation.
2:59:03ENYou Kaichao on How vLLM Grew from Open-Source Project to AI Infrastructure Company게스트 You Kaichao · 진행자 张小珺Inferact co-founder You Kaichao traces vLLM’s path from Berkeley research to a company, then explains why model, inference, hardware and agent design increasingly have to move together.
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