A researcher is applying computational cognitive neuroscience to predict the mechanistic failure modes of transformative AI. The goal involves identifying specific interventions that remain implementable under rushed development timelines. This approach treats AGI as a brainlike system. Practitioners can use these cognitive models to anticipate alignment gaps before they manifest in large-scale models.