Microsoft unveils MAI-Base-2, a MoE model with 2.8T total and 80B active parameters, claiming 4x-12x more pretraining FLOPs-efficiency than DeepSeek-V4-Pro-Base
THE SO WHAT
If Microsoft’s MAI-Base-2 MoE really delivers 4x–12x pretraining FLOPs-efficiency over DeepSeek-V4-Pro-Base, the constraint for frontier work shifts further from raw compute to data quality, routing, and downstream productization. For operators, this is another nudge to assume rapid, stepwise model efficiency gains in your 12–24 month planning rather than linear cost curves.
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