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DeepSeek unveils mHC architecture to slash AI model training costs and boost efficiency

Chinese AI startup DeepSeek has released a research paper detailing Manifold-Constrained Hyper-Connections (mHC), a new training architecture that could make advanced AI development accessible to smaller developers. The framework addresses signal degradation in neural networks while reducing memory overhead by over 90% compared to existing methods, potentially reshaping how the industry approaches model scalability.