Nvidia Photo: VCG

　　While the US is still debating whether "openness is safe," China is building an open, low-cost and decentralized AI ecosystem around the world. This openness reflects a deeper understanding of the very nature of technology. In this sense, if Nvidia treats open source merely as a marketing tool for generating chip orders rather than genuinely committing to building an open, collaborative ecosystem, then the "American DeepSeek" may well turn out to be nothing more than an expensive shell.

　　Several US media outlets recently reported that Nvidia is spending $6 billion to build one of the world"s most powerful open-weight AI models, in a bid to compete with Chinese heavyweight models such as DeepSeek and Kimi K3. One of the key contexts behind this move is that most US AI giants have poured far more resources into closed AI models, while the tremendous success of China"s open-source models has sparked significant anxiety within the US, making "whether to pivot to open source" a heated topic of debate in the industry. Therefore, Nvidia"s turn toward open-weight models has attracted attention.

　　Admittedly, Nvidia"s primary motivation is to enter the open-source arena in the face of intense competition, support startups, and thereby secure more chip orders. But objectively speaking, the move is also a sign that the myth of closed-source AI in the US is being further shattered. Previously, the US AI industry was dominated by closed models, with OpenAI, Anthropic, and Google controlling the closed-source ecosystem. Before the emergence of China"s DeepSeek, the market firmly believed that closed source AI is the future.