DeepSeek touts new training method as China pushes AI efficiency

DeepSeek published a paper outlining a more efficient approach to developing AI, illustrating the Chinese artificial intelligence industry’s effort to compete with the likes of OpenAI despite a lack of free access to Nvidia chips.

The document, co-authored by founder Liang Wenfeng, introduces a framework it called Manifold-Constrained Hyper-Connections. It’s designed to improve scalability while reducing the computational and energy demands of training advanced AI systems, according to the authors.