Researchers have introduced Kimi Linear, a novel attention architecture designed to optimize the computational efficiency of large language models without sacrificing performance. By leveraging a linear attention mechanism, this approach aims to maintain high expressiveness while significantly reducing the resource costs associated with processing long sequences.