A researcher is applying 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. By modeling brainlike AGI, the author aims to preempt alignment risks. This niche framework offers a technical alternative to standard AI safety methodologies.