**[DeepSeek-R1 Paper Featured on the Cover of Nature, Advancing AI Transparency]** According to Golden Finance, the DeepSeek-R1 paper has been featured as the cover article in *Nature*, with DeepSeek founder and CEO Liang Wenfeng as the corresponding author. The research team demonstrated through experiments that the reasoning capabilities of large language models can be enhanced purely through reinforcement learning, reducing the workload of human input while outperforming models trained with traditional methods in tasks such as mathematics and programming. DeepSeek-R1 has garnered 91.1k stars on GitHub and received praise from developers worldwide. Assistant professors at Carnegie Mellon University and others have commented that it has evolved from a powerful but opaque solution finder into a system capable of human-like dialogue. In an editorial article, *Nature* recognized it as the first mainstream LLM to be published after peer review, marking a significant step toward transparency. Peer review helps clarify the working principles of LLMs, assess their effectiveness, and improve model safety.