BlockBeats News, July 17th, Chinese Academy of Engineering academician and founder of Aliyun, Wang Jian, stated at the 2026 World Artificial Intelligence Conference that the term "Artificial Intelligence" still lacks consensus. Currently, AI has reached another key point—scientific data will redefine the essence of artificial intelligence. Scientific data should be the "indigenous people" of the foundational model, rather than relying solely on scientific paper text. Wang Jian criticized the current overemphasis of AI applications in research on paper text and code, which have not delved into scientific data itself. He proposed that the scientific foundational model is not a vertical domain model but a universal technical architecture that integrates text, code, and scientific data. The core task is to tokenize scientific data and embed it in the same model space as text and code.

At the end of his speech, Wang Jian summarized that AI is at a turning point—it is no longer an independent technical field but has become a fundamental tool for scientific research, similar to mathematics. He predicted that in the next fifty years, AI's role in science will be equivalent to the role of mathematics in the past few hundred years. The key to the next stage of AI competition lies in the integration ability of multi-modal scientific data.

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