In the long human effort to find worlds like our own, a machine-learning model trained on simulated planetary systems has quietly pointed toward 44 real stars as promising places to look. The classifier, built on half a million synthetic planets, achieved remarkable precision — but only within the artificial universe it was taught to read. The work stands as a thoughtful act of navigation: not a discovery, but a disciplined narrowing of where discovery might begin.