In brief
This year, over 5,400 mathematicians flocked to Seattle for the Joint Mathematics Meetings, where the theme revolved around "Mathematics in the Age of A.I." Key speakers, including Yann LeCun, emphasized both the promise and challenges posed by A.I. in the mathematical community.
In early January 2025, Seattle welcomed the world’s largest congregation of mathematicians for the Joint Mathematics Meetings (J.M.M.), drawing 5,444 participants and featuring 3,272 engaging talks. This year’s conference marked a pivotal shift, with an official theme titled "Mathematics in the Age of A.I.", initiated by Bryna Kra, president of the American Mathematical Society. This theme aims to underline the growing influence of artificial intelligence on mathematics, encouraging professionals to consider its implications on teaching, research, and collaboration. In an interview, Dr. Kra expressed her intention of using the theme as a "wake-up call" to the community. She called attention to pressing questions, such as the role of A.I. as a potential co-author in mathematical endeavors. The second evening of the conference featured a keynote lecture by Yann LeCun, Meta’s chief A.I. scientist. LeCun’s address, titled “Mathematical Obstacles on the Way to Human-Level A.I.,” drew both laughter and contemplation. LeCun candidly stated, “The current state of machine learning is that it sucks,” eliciting amusement from attendees. He posited that the existing generative large language models fail to replicate even basic animal behaviors, including those of a cat. To advance A.I., he suggested pursuing a “large-scale world model,” which would enable systems to better predict and reason about their actions. However, he also highlighted the numerous significant mathematical challenges that remain unsolved, leaving researchers grappling with uncertainties in this rapidly evolving field.
