The research group Resolution seeks to identify and control low-dimensional structures in models to prevent emergent misalignment. This approach focuses on how personas evolve from pretraining through to superintelligence. By systematizing subliminal learning, researchers aim to intervene on model behavior without triggering hidden failures. It is an incremental step toward more precise AI alignment.