A researcher applies computational cognitive neuroscience to predict the mechanistic failure modes of transformative AI. The goal is to identify efficient interventions that work even under rushed development timelines. This framework treats AGI as a brainlike system to anticipate alignment gaps. Practitioners can use these predictions to prioritize specific safety guardrails before deployment.