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Shen Xiangyang: Open source and closed source are not opposing business models

① Shen Xiangyang said that open source and closed source are not opposing business models;
② The proportion of models developed by different companies in actual use by enterprises, large models with market shares ranging from high to low, have different source opening and closing strategies, and have no obvious correlation with their market shares.

“Science and Technology Innovation Board Daily” February 22 (Reporter Zhang Yangyang)At the 2025 Global Developer Pioneers Conference, Shen Xiangyang, Chairman of the Board of Governors of the Hong Kong University of Science and Technology and a foreign academician of the National Academy of Engineering, talked about the power of open source in the era of big models in his keynote speech entitled “Innovation and Thinking in the Era of Big Models.”

He believes,”DeepSeek allows everyone to see the victory of the open source community. By opening up the great model, more people will have the opportunity to do more great things on this model.”

Looking at open source from the perspective of technological progress, Shen Xiangyang said that open source is not new, but its vigorous development began after the emergence of the Internet. The Internet has greatly enhanced the ability to cooperate and open source globally.

In addition, open source can also be understood from the perspective of business choices. Looking at 2023 and 2024, the proportion of models developed by different companies in actual use by enterprises, large models with market shares ranging from high to low, and open and closed source strategies are different, which are not significantly related to their market shares. He said that open source and closed source are not opposing business models.

Open source is also an important area for global cooperation. Shen Xiangyang pointed out that China is a beneficiary of open source research and is now a contributor to the international open source community.

For the large model, the previous research focus was on the GPT model, but now the focus is on the Reasoner model, which is a new learning paradigm. Shen Xiangyang mentioned that the GPT model is a kind of “fast thinking” that mainly uses data-driven prediction to predict the “next token”.

Reasoner model focuses on task completion, allows repeated trial and error and correction, and is closer to human “slow thinking”. This new model has been applied in areas such as visual reasoning by gradually abstracting complex problems and deriving solutions.

Shen Xiangyang: Open source and closed source are not opposing business models插图

In the new paradigm, he emphasized that one of the hardest things in the big model is open source data. “I hope that the open source community can contribute more data and that in the new paradigm, we can make greater progress together.”

Shen Xiangyang judged that the biggest opportunity in the future lies in the relationship between man and machine, that is, human-computer interaction. “Looking back at the past four to fifty years, whichever company has seized the entrance to the interaction between humans and machines will become the greatest company in the world.” Natural interaction is a new milestone in human-computer interaction. Both Chatbot and Agent are promoting progress in this field.

Chatbot is an AI program that interacts with users via text or voice, is able to answer questions or perform tasks, and works like a virtual assistant. Agent is an intelligent system that can make decisions and perform complex tasks independently. It relies on multimodal interaction technology to naturally communicate with users through voice, text, images and other methods.

Shen Xiangyang: Open source and closed source are not opposing business models插图

Regarding the relationship between humans and machines, which has been widely discussed recently,”Is it AI or IA (Intelligence Augmentation)?” Intelligence enhancement (IA) refers to the use of technology to expand human capabilities to help people complete tasks more efficiently, rather than replacing humans. Shen Xiangyang pointed out that one angle is “people-oriented artificial intelligence”, called for attention to the ethical issues of artificial intelligence, and “resonated with all developers.”

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