A researcher is applying computational cognitive neuroscience to predict the mechanistic failure modes of transformative AI. The goal is to identify efficient interventions that remain viable during rushed development timelines. This approach treats AGI as a brainlike system. It offers a niche, theoretical framework for practitioners focusing on long-term alignment and safety.