DeepSeek V4's Architecture Debt Chain: MoE Dynamic Routing, Hybrid Attention and the Engineering Constraints Behind 1M Context
DeepSeek V4's four architectural innovations are not independent additions but a constraint-driven causal chain: 1M context requirement forces CSA/HCA compression, which loses positional info; 64+ fine-grained MoE reduces inference cost but crashes training stability; anticipatory routing and mHC stabilize training but add overhead; Engram offloads static knowledge but complicates deployment. Each innovation pays previous debts while borrowing new ones.