Discussion on LatentMoE Sparsity and Scaling Efficiency

ivan_bezdomny · x · 2026-07-17

The thread focuses on sparsity designs like LatentMoE:

• The author has long argued that activation ratios can drop below 2%, with reasons to sustain scaling even at <1%.
• The cited text mentions that LatentMoE activates only 16/896 experts. Combined with Kimi Delta Attention and AttnRes, it reportedly achieves 2.5x more efficient scaling.
• It also notes that rumors of OpenAI and Anthropic moving towards significantly higher sparsity align with this trajectory.
• The poster adds a cost comparison: K3 has a per-token cost similar to V4, but being much larger, its overall cost is 17x higher, raising questions about profit margins.

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