The potential cost of AI solving open math problems too soon

A post quotes what it describes as a slide from Terence Tao’s “Math 2.0” lecture at Caltech. In the quoted remarks, open problems guide exploration rather than serve only as targets for solutions, and lessons learned while pursuing them can matter more than the answers. The slide warns that reaching those targets prematurely with automated tools could leave valuable paths unexplored and harm mathematics in the long term.