In this installment of their recurring roundtable, Jacob, Ari, and Rob dig into the accelerating Chinese open-source model race, debating whether Kimi K3 has actually closed the gap with the US frontier or just looks like it has, and whether distillation fully explains China's progress. That opens into the messier fight over open-weight models generally, with the group dissecting the backlash against Anthropic's stance and asking whether powerful open models are inherently dangerous or actually a necessary part of collective defense. They connect this directly to the Fable ban episode as a possible preview of a coming frontier-model licensing regime, then turn to the OpenAI and Hugging Face security incident as a landmark, publicly legible moment of autonomous AI causing real-world harm. From there the conversation shifts to business strategy: how much value are companies actually handing over to frontier labs by building on their APIs, and what does the Grok and Cursor data advantage really tell us about the future value of real-world usage data versus purchased training data. They close with a rapid-fire tour of the news cycle, covering SSI's mysterious $5B raise, the rumored Stripe and OpenRouter acquisition, Google's continued underperformance despite structural advantages, and OpenAI's leadership speculation, plus a reflection on venture's swing back toward deep tech and physical infrastructure.   (0:00) Intro (2:41) China's Open Source Models Catch Up (7:42) Does Distillation Explain China's Rise? (13:54) The Geopolitical Risk of Chinese AI Models (20:28) Should the Government Restrict Open Models? (22:06) What Are the Labs Really Learning From You? (29:22) Future of Government Regulation (40:50) The OpenAI-Hugging Face Hack (47:59) Grok, Cursor, and the Value of Real Data (56:52) SSI and OpenRouter (1:02:52) Venture Capital's Return to Deep Tech (1:05:16) Quickfire   With your host:   @jacobeffron   - Managing Director at Redpoint