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The primary subject of this article is AI/ML, specifically focusing on recent releases like Kimi K3 and Qwen 3.8, geopolitical dynamics between US and China regarding open models, distillation techniques, and the strategic shift toward open weights in Chinese AI development. TechPulse take: This episode analyzes the accelerating pace of open model releases from Chinese labs, examining the performance implications of distillation strategies and the broader economic and security tensions driving the open-versus-closed model debate. The discussion highlights how high-level policy commitments, such as Xi's recent speech on openness, are directly influencing the trajectory of AI research and deployment in the region.
Open models recap: more on Kimi K3, Qwen 3.8, Xi's WAIC speech, distillation, the open-closed gap, and what's next
A podcast with Florian Brand.
Exciting news! My book trying to share post-training knowledge with the world is done and shipping soon. Order on Manning or Amazon. Thanks for the support. It’s currently the #1 AI book on Amazon :). Nathan and Florian sit down to discuss everything happening with open models. Following the Kimi K3 release last week, it feels like everything is accelerating — geopolitics of US v China, economics of open vs. closed models, security at the frontier of AI, and so on. Chapters:00:00 Welcome & context04:38 Living with / using Kimi K308:53 GLM 5.2’s continued role12:47 How are the Chinese models this good?17:41 Data, environments, and a tour of the Chinese labs Listen on Apple Podcasts, Spotify, and where ever you get your podcasts. For other Interconnects interviews, go here. For more educational post-training videos, see the course I’m putting together. 00:00:06 Nathan Lambert: Okay, welcome back to Interconnects. We’re doing our quarterly open model roundup, which is mostly us just making fun of or explaining, not making fun, why so many distillation takes are bad and understanding the state of where things stand. I think last Thursday was when Kimi K3 was released. I think we will see much much…
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