I don't know if I should put this in programming or AI. It kind of only half fits either. Archive: https://archive.today/NKsx4 From the post: >>I recently left Microsoft to join MIT's Media Arts and Sciences program. The transition brought an immediate problem: how do you navigate course selection when faced with the "unknown unknowns"? You can easily find courses you already know you want learn, i.e. "known unknowns". But discovering courses you never knew existed, courses that might reshape your thinking entirely, requires different tools altogether. MIT's official course catalog runs on what appears to be a CGI script. The technology dates back to the 1990s. You cannot search as you type. Everything feels slow. The popular student-built alternative, Hydrant, offers fast search but displays details for one course at a time. Neither tool works well for browsing or screening multiple options simultaneously. More importantly, both tools remain stubbornly human-centric in an age where LLMs should help us make better decisions.