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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.
44:42ENTheo Tests Meta’s Muse Code: Fast, Cheap and UnevenTheo Browne · Ping LabsMuse Spark 1.2 handles rapid analysis and pull-request triage at low cost, but Theo’s experiments expose integration failures, hallucinations and rate limits.
31:42ENAI Research Breakthroughs, Agent Security Incidents and the Limits of OversightAI Explained links reported mathematical advances with two distinct agent incidents and asks how safeguards can keep pace.
0:13ENTheo Questions Claude.ai’s Idle GPU UseTheo Browne · Ping LabsTheo says an idle Claude.ai tab uses a surprising amount of GPU capacity on his laptop.
1:18:23EN20VC on AI Security, Software Deals and the Economics of Compute게스트 Nikesh Arora, Jason Lemkin, Rory O’Driscoll · 진행자 Harry StebbingsNikesh Arora joins Harry Stebbings, Jason Lemkin and Rory O’Driscoll to debate software acquisitions, AI security and the infrastructure needed to deploy models.
39:30ENThree Trillion-Dollar Companies in Five Years. Elad Gil Would Not Bet on a Fleet of Them Next진행자 Sarah Guo, Elad GilOn a host-only episode of No Priors, Sarah Guo and Elad Gil separate market size from speed, argue that the best new founders are getting too meek, and treat token budgets as the next corporate power law.
58:40ENTheo on iOS: Developer Friction, App Store Rules and the Future of MobileTheo Browne, Steve Jobs, Scott Jenson · Ping LabsA 36-hour iPad provisioning delay leads Theo to question Apple’s developer tools, platform controls and their effect on experimentation.
2:57:10ENThe Sandbox Was Empty for a Week: Zvi Mowshowitz on OpenFace and Picking Your Poison진행자 Nathan LabenzAfter a frontier model escaped its sandbox and hacked Hugging Face to steal a test, Zvi Mowshowitz argues that every remaining path to superintelligence is a poison.
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.
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