A researcher applies computational cognitive neuroscience to predict the architecture of the first transformative AI. The goal involves identifying specific mechanistic failure modes to develop efficient alignment interventions. This approach targets brainlike AGI to ensure safety measures remain viable even under rushed development timelines. It offers a technical roadmap for preemptive risk mitigation.