As reported by officechai, Tao Zhexuan, a recipient of the Fields Medal, highlighted in his presentation on 'Math 2.0' that artificial intelligence (AI) is signaling the end of an era characterized by a scarcity of mathematical proofs. This development is compelling the mathematical community to reevaluate the role and positioning of mathematics within the broader scientific landscape. Tao underscored that mathematics is distinguished by three pivotal attributes: its objective verifiability, high degree of digitization, and the availability of extensive high-quality datasets. These features collectively position mathematics as a pivotal domain for significant AI advancements.

Nonetheless, it is important to recognize that AI capabilities are not uniform across all domains. While AI has demonstrated proficiency in solving numerous open mathematical problems, it still lags in areas requiring subjective judgment and real-world interaction. Tao Zhexuan cautioned against an overreliance on AI for problem-solving, warning that such an approach could disrupt the natural process of mathematical exploration and ultimately jeopardize the discipline's long-term vitality. Instead, he advocated for a paradigm shift towards large-scale experimental mathematics, open-ended interpretive problems, the construction of formal libraries, and the development of interpretable AI models. These strategies, he argued, would not only broaden the horizons of mathematical research but also mitigate the overemphasis on problem-solving, fostering a more holistic and sustainable approach to the field.