Core Insights - DeepSeek has released a paper outlining a more efficient method for artificial intelligence development [1] - The framework proposed, named "Manifold-Constrained Hyperconnection" (mHC), aims to enhance scalability while reducing the computational power and energy requirements for training advanced AI systems [1] - DeepSeek's next-generation flagship system, R2, is expected to be launched around the Spring Festival in February [2]

Core Viewpoint - DeepSeek has introduced a more efficient artificial intelligence development method through a paper co-authored by founder Liang Wenfeng, proposing a framework called "Manifold-Constrained Hyperconnection" (mHC) aimed at enhancing scalability while reducing the computational power and energy requirements for training advanced AI systems [1] Group 1 - The mHC framework is designed to improve scalability in AI development [1] - The new flagship system R2 from DeepSeek is expected to be launched around the Chinese New Year in February [1]