X thread says Kimi’s linear-attention variant is strong, but not the only breakthrough
inductionheads · x · 2026-07-26
A X thread argues that Kimi’s linear-attention variant is impressive, but not a singular breakthrough.
- The author says hybrid linear attention is becoming mainstream.
- They credit Kimi’s work across data, algorithms, and RL, but argue the real takeaway is broader than one technique.
- The discussion also points to a larger constraint: memory scarcity. If frontier models keep moving toward fixed-size memory behavior, it could reduce DRAM demand per user.
- The quoted post ties this to Kimi, Qwen, DeepSeek, and sparse/hybrid attention design choices.
Related event: Kimi K3 Architectural Innovations Spark DRAM Demand Debate(5 posts)→
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