A computational cognitive neuroscience expert is applying brain-like modeling to predict the first transformative AI. The goal is to identify specific mechanistic failure modes before they occur. This approach aims to find efficient interventions for AI alignment that remain viable even under rushed development timelines. It focuses on the intersection of AGI and human cognition.