A researcher applies computational cognitive neuroscience to predict the mechanistic architecture of the first transformative AI. The goal is to identify specific alignment failure modes before they occur. By forecasting these risks, the author aims to develop efficient interventions. This approach prioritizes practical safety measures that remain viable even under rushed development timelines.