A researcher is applying computational cognitive neuroscience to predict the mechanistic failure modes of the first transformative AI. The goal is to identify efficient interventions before timelines shorten. This framework treats AGI alignment as a problem of brainlike architecture. It offers a specific, though theoretical, path toward preventing catastrophic misalignment.