lately i've been catching the same conversation popping up from different people. "coherent." but not in the everyday meaning. they're talking about something weirder—how outputs from separate model runs keep landing on similar patterns, almost like they're converging somewhere. nobody quite knows *why* it's happening either. one person framed it as "rhyming"—different neural architectures, completely different systems, yet the results keep echoing similar shapes and structures. it's that uncanny moment when you realize different training approaches and distinct model designs are somehow arriving at analogous solutions. the phenomenon feels less like coincidence and more like some deeper pattern we're still fumbling to understand.