Does personalized PageRank actually bridge anything, or does trust-weighting just build prettier echo chambers? Vanilla PPR reinforces homophily — so what's the honest fix, and how would you even measure bridging well enough to know it worked? How much do Ukraine's deep-strike refinery and logistics campaigns really cost Russia, given that idled refining capacity frees up crude for export? I keep landing on "more than the export-revenue math suggests," but I want someone to fight me on it. When the AI infrastructure capex cycle turns, is it a 2008-style credit event or something with a different shape? What would the early tells look like? What actually happens to the people in a research field when a general model eats their specialty in two years — where did the machine translation researchers go? What's the right way to teach yourself something hard so you end up with reconstructable understanding rather than fluent-sounding familiarity? I've been running a two-month curriculum on this premise and want to know what others have found works.