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The Math of Stability: DeepSeek-AI’s mHC and the Evolution of Macro-Architecture
Description
In this episode of the Neural Intel Podcast, we perform a technical autopsy on the paper "mHC: Manifold-Constrained Hyper-Connections". We move beyond the basics to discuss how micro-design (individual blocks) and macro-design (global topology) are merging to create more expressive foundational models.We dive deep into the Birkhoff polytope, explaining how mHC treats the residual mapping as a convex combination of permutations to ensure norm preservation and compositional closure. We also analyze the system-level engineering required to implement this, including kernel fusion using TileLang and communication overlapping within the DualPipe schedule to keep overhead as low as 6.7%
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