DeekSeek mHC Explained – How DeepSeek Rewires LLMs for 2026
DeepSeek's Manifold-Constrained Hyper-Connections (mHC) paper introduces a breakthrough approach to LLM architecture by reimagining residual connections—unchanged since 2016. By applying mathematical constraints to ByteDance's Hyper-Connections framework, mHC preserves training stability while expanding model expressiveness. Using doubly stochastic matrices enforced through the Sinkhorn-Knopp algorithm, this innovation achieves superior performance across benchmarks while maintaining stable gradient flow, positioning it as a potential driver for major AI advancements in 2026.
