What does the advent of powerful AI models mean for mathematicians like me?

[This is a guest post by Jennifer Taback. This blog post was initially written in a different file format and converted using AI. — T.] Recently I have read a stream of articles questioning the future of mathematics: what constitutes a proof, what we value, how we retain the human enterprise of creating knowledge. Many of these articles are written by mathematicians making significant progress on the conjectures that shape their fields, whose work is now imperiled by the capabilities of frontier AI models. I am not one of those mathematicians. There are many mathematical problems that I have revisited over two decades, but none will grab headlines. Nevertheless, I care deeply about their resolution, as do others in my field. What does the advent of powerful AI models mean for mathematicians like me? I have yet to succeed in prompting a solution to one of my long-term problems, though AI models have helped fix an incorrect lemma and suggested a helpful reorganization of a paper. They…