Ever wonder what's really happening behind a recommendation feed? It's way more layered than you'd think. At the core sits this inference engine – basically a model that's constantly digesting your recent taps and swipes while simultaneously scanning the newest stuff flooding into the system. Then it's making split-second calls, we're talking microseconds here, on what pops up next on your screen. It's this perpetual cycle of reading your behavior patterns, matching them against fresh inventory, and firing off predictions faster than you can blink. Multiple intelligent loops running in parallel, all competing to nail what keeps you scrolling.