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# DeepSeek Just Added Parameters Where There Were NONE.

**[bycloud](https://daily.dev/sources/bycloud)** · 11 min read · 23 upvotes · 0 comments

## Summary

DeepSeek's new MHC (Manifold Constraint Hyperconnections) research challenges the decade-old standard of single residual connections in neural networks by introducing multiple parallel residual connections with learnable weights. The approach stabilizes the previously unstable hyperconnection concept through doubly stochastic matrix constraints, achieving consistent performance gains across benchmarks with only 6.7% compute overhead through aggressive hardware optimization. Testing on a 27B parameter model showed improvements across all benchmarks with better training behavior and scalability.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://www.youtube.com/watch?v=Gb0jLRC8uWM>

## Similar posts on daily.dev

- [DeepSeek's mHC: When Residual Connections Explode](https://daily.dev/posts/deepseek-s-mhc-when-residual-connections-explode-46wypc9bp) · Hacker News · 4 upvotes · 0 comments

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Tags: [#llm](https://daily.dev/tags/llm), [#deep-learning](https://daily.dev/tags/deep-learning), [#neural-networks](https://daily.dev/tags/neural-networks), [#deepseek](https://daily.dev/tags/deepseek)

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