Excited to team up with @radixark to make large-scale RL data movement faster 🚀 Miles is built for high-performance, large-scale post-training, and Mooncake is now integrated as a rollout data-transfer backend for the fragmented, heterogeneous data moving between rollout and training in disaggregated RL. On rollout data captured from Miles: ⚡ 10–14× faster remote GET ⚡ 1.2–1.6× faster PUT By turning fragmented rollout objects into efficient bulk I/O while preserving their original structure, Mooncake helps reduce rollout-to-training handoff latency without changing the RL programming model. Read more:

One nice subtle benefit of using Base UI over Radix is that the animations are interruptible since Base uses CSS transitions instead of keyframes. This is me spamming on both dropdowns, notice the glitchiness in the one on the left.

⚡ This Saturday on the THORChain Podcast | Community Spotlight. @n3xco (co-founder, Radix) and @matthewcarano join @KentonC137 and @patriotsounds live at 10AM EDT / 2PM UTC. Jump on stage and ask your questions live:

Don’t miss tomorrow’s OCP Educational Webinar: Breaking Through the AI Network Wall with High-radix Switching Date: July 28, 2026 Time: 12 - 1pm ET Location: Virtual (ON24) The “network wall” has become one of the primary bottlenecks in large-scale AI training and inference. While compute FLOPS have doubled every 18 months, merchant Ethernet switch ASIC capacity and radix (the number of compute devices that can be connected) has historically doubled in steps longer than two years. State-of-the-art switches support ~100 Tbps today and are only expected to reach ~200 Tbps by 2028. Switch radix in turn limits the single-hop domain size, which either limits the scale or extends the training time of sparse Mixture-of-Experts (MoE) models. A new switch technology and network architecture is required to deliver an order-of-magnitude increase in radix, breaking the network wall, and enabling AI to scale more effectively. Learn more and register for free here:

⚡ Saturday September 19 on the THORChain Podcast | Community Spotlight at 10AM EDT / 2PM UTC. @KentonC137 and @patriotsounds are sitting down with @n3xco, co-founder of Radix, and @matthewcarano. Jump on stage and ask your questions live:

RLHF book is in print, so we threw it a party in Seattle. Being in a room full of people who actually care about open post-training was really cool. Thanks @radixark for making the night happen, @ManningBooks for the book, and everyone who came out!

The "network wall" may be slowing down your AI infrastructure. Join us on Tuesday, July 28, 2026, at 12:00 PM ET for a deep dive into "Breaking Through the AI Network Wall with High-radix Switching." We will explore how new switch technology can help scale AI training and inference by delivering an order-of-magnitude increase in radix. Hear from industry experts Cliff Grossner (OCP), Alan Weckel (650 Group), Promode Nedungadi (Eridu), and Jay Gill (Eridu). Don’t miss this opportunity to learn how to build flatter, more scalable networks. Register now to secure your spot! Learn more and register here: