Computational cognitive neuroscience informs this research agenda to predict the mechanistic details of the first transformative AI. The author aims to identify specific alignment failure modes before they occur. This approach targets efficient interventions for brainlike AGI, specifically focusing on LLMs with human-like cognitive architectures to ensure safety under tight timelines.