In brief
This year’s Joint Mathematics Meetings brought together over 5,000 mathematicians to explore the intersection of math and A.I., featuring insightful talks and discussions on its implications.
In Seattle, from January 8 to 11, the largest math meeting ever—5,444 attendees—was held, with the theme "Mathematics in the Age of A.I." spearheaded by Bryna Kra, the president of the American Mathematical Society. The gathering is a long-standing annual event. Kra emphasized the need for educators and researchers to consider A.I.’s role in their work, including its potential as a co-author. During the meeting, Yann LeCun, Meta's chief A.I. scientist, delivered a thought-provoking keynote titled "Mathematical Obstacles on the Way to Human-Level A.I." While joking about the current limitations of machine learning—“it sucks,” he said—he pointed out the need for a “large-scale world model” to enhance A.I. reasoning and planning abilities. However, he warned that there are still significant mathematical challenges to overcome before we achieve more advanced A.I. systems.
