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Alibaba's Cai Chongxin: Open source is the best choice for Europe's development of AI

IT Home, October 8 – According to Bloomberg, Jack Ma, chairman of Alibaba Group, believes that the best way for Europe to break away from its dependence on the US and China in technology is through open-source AI. He…

Thank you to the netizen from IT Home Mimimi Yang for sharing the clues!

IT Home On October 8, according to Bloomberg, Alibaba Group Chairman Cai Chongxin believes that the best way for Europe to break away from its dependence on the US and China in technology is through open-source AI. He called on Europe to build its own computing infrastructure for training and running AI models.

On the 7th local time, Cai Chongxin said at the Wave by Vento conference in Turin, Italy: “No country wants to rely entirely on another country’s technology. Once the government changes or circumstances change, the other side can directly cut off the technical supply. Europe must seriously invest in computing infrastructure construction so that models can run, and model training and reasoning should be carried out using local infrastructure in Europe.”

In his view, Chinese and American laboratories are competing to attract AI researchers, but Europe has yet to fully leverage their role. Europe should focus on using proprietary industrial data to train models, thereby building a competitive advantage. “Chinese factories possess very valuable manufacturing data, which is highly valuable for training models. Many European countries still have a large industrial foundation.”

According to reports by IT Home, Cai Chongxin is optimistic about a group of so-called “new cloud service providers” emerging in Europe. These are companies that specialize in cloud computing services and operate data centers equipped with AI chips.

He also mentioned that China intends to focus on open-source models and publicly available research results, in order to promote their adoption worldwide. In contrast, American companies such as OpenAI and Anthropic mainly provide proprietary models.

Cai Chongxin said bluntly: “Those closed-source laboratories in the US no longer write papers.”Because they don’t want to share. They want to keep it closed.”

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