Kimi K3 explained in 13min..

Kimi K3 represents a significant shift in AI model architecture, prioritizing extreme efficiency and intelligence through a 1.8% expert activation ratio—the lowest among current open models. By utilizing 896 experts with only 16 activated per token, the model optimizes compute overhead while maintaining high performance. Key innovations include Stable LatentMoE, which compresses token representations to minimize GPU communication bottlenecks, and Kimi Delta Attention, a hybrid linear attention mechanism that achieves subquadratic complexity for long context windows. Furthermore, the integration of Attention Residual plumbing allows for deeper model scaling by selectively pulling information from earlier states, preventing signal dilution. These architectural advancements enable Kimi K3 to maintain high decoding throughput, challenging existing industry standards and raising critical questions about the future of AI innovation and inference economics in both Chinese and global markets.