A computational cognitive neuroscience expert is applying brain-inspired models to predict transformative AI failure modes. The researcher aims to identify specific mechanistic vulnerabilities before they manifest in AGI. This approach prioritizes efficient interventions for rushed development timelines. Practitioners can use these predictions to implement safety guards before models reach critical capabilities.