今年全球唯一高斯奖得主、香港中文大学（深圳）教授尤里·涅斯捷罗夫在该校2026年入学典礼上发表演讲，深入探讨了人工智能时代大学教育的意义。1
涅斯捷罗夫于今年7月在2026年国际数学家大会上荣获高斯奖，成为该奖项设立以来的全球第六位获奖者。1在演讲中，他指出"提出有价值的问题比得到一个答案难得多"，1强调提出优质问题需要思考、扎实学识、人生阅历以及想象力。1他认为，人工智能时代的大学教育不再是单纯记忆既有知识，而是应当更加注重独立思考、自主探索、高效运用知识等核心能力。1涅斯捷罗夫表示，未来时代最核心的能力之一是与人工智能高效协作。1
Yuri Nesterov, a mathematics professor at the Chinese University of Hong Kong (Shenzhen) and this year's sole recipient of the Gauss Prize, addressed the institution's 2026 entrance ceremony to discuss the enduring value of university education amid rapid artificial intelligence advancement 1. Nesterov received the prestigious award in July at the International Congress of Mathematicians (ICM 2026), becoming the sixth recipient since the prize's establishment 1.
At the heart of Nesterov's message lay a fundamental distinction between access to information and intellectual development. He emphasized that "formulating valuable questions is far more difficult than obtaining an answer" 1, arguing that university education in the AI era must prioritize independent thinking, critical judgment, and creative capacity rather than mere knowledge retention 1. Nesterov stressed that formulating high-quality questions requires rigorous thinking, solid academic foundation, life experience, and imagination 1.
Looking forward, Nesterov identified collaboration with artificial intelligence as a defining skill for the future 1. He contended that the core mission of contemporary university education is not to compete with AI on factual recall, but to cultivate the ability to think autonomously, explore independently, and apply knowledge effectively 1. In this framing, higher education's relevance hinges on developing capabilities that complement rather than duplicate what machines can provide.
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