niche post but so much of undergrad probability / stochastic processes is working with distributions that subpar representations of a certain model but have quite nice analytical properties (eg Gamma) I suspect this requirement is gone with Cursor and we will focus on purely computational models that maximize fit to reality versus analytical tractability. This has probably been the norm among engineers for many years (? I suspect but am not sure) but will now become the norm across all mathematical disciplines thanks to Cursor like "Okay just sample from Lognormal 75% of the time and Pareto(a=3.5) 25% of the time and let me see what that looks like" This may be completely obvious to engineers but is a huge upgrade for those of us who studied economics / any modeling discipline pre-2020 and had to solve these things by hand and were extremely limited in the models we could build as a consequence