Kimi Linear: An Expressive, Efficient Attention Architecture | Hacker News

Researchers published Kimi Linear, a paper proposing an attention architecture designed to be both efficient and expressive.

Hacker News users քննարկed how the paper may relate to newer Kimi model designs, including Kimi K3.

The discussion also referenced related ideas such as Stable LatentMoE and Kimi Delta Attention.

The work is drawing attention as a possible path to improving large language model efficiency without sacrificing capability.