Kimi Linear: How Moonshot AI Built a Hybrid Attention Architecture That Beats Full Attention
Kimi Linear: How Moonshot AI Built a Hybrid Attention Architecture That Beats Full Attention The standard Transformer attention mechanism has a well-known problem: it scales quadratically with sequence length. As context windows push toward one million tokens, the KV cache alone can consume tens of…
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- 2026-09-25 16:05 · DEV Community — Machine Learning
Kimi Linear: How Moonshot AI Built a Hybrid Attention Architecture That Beats Full Attention