The emergence of DeepSeek has undoubtedly dropped a bombshell on global AI development. For the U.S. technology sector, in particular, this is not merely a technological event, but a psychological and strategic shock.

This marks the first time that core players in Silicon Valley have acutely recognized the rapid rise of AI in mainland China. It highlights that the gap in AI technology development between China and the United States is not as wide as previously imagined, and in certain aspects, trends suggest the gap is closing or even being surpassed.

A closer examination of DeepSeek's technical underpinnings reveals that it does not rely on a novel architecture or radical technical innovation. Instead, it utilizes a training method known as "distillation." By building upon existing large language models, it extracts key model parameters and employs this smaller volume of optimized data for inference and computation. This approach not only significantly lowers training and inference costs but also reduces the energy and resource consumption required for computing, thereby enabling deployment and application in a more practical and widely accessible manner.