A more reflective pick for the weekend reading pile: this paper considers how AI changes mathematical work and education. It is not a how-to, but its central practical prompt travels well: when a tool can produce an answer, what should a person still learn to verify, explain, and extend?
HN discussion is a more approachable starting point than the paper itself.