Chinese lab ZAI cuts costs 10x by adopting peer innovations like DeepSeek
PAstynome · x · 2026-08-26
The post argues that export controls may inadvertently incentivize Chinese AI labs to develop cost-reducing innovations. Citing ZAI (Zhipu) as an example, it highlights how quickly they adopted techniques from peers like DeepSeek and MoonShot, including mHC-based residual connections, DSA-like sparse attention, and linear attention. The result is a model with strong performance that uses 4.44x less KV cache and 3x fewer FLOPS, serving 10x cheaper than their previous model, demonstrating the economic efficiency of building on shared innovations.
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