The National Institute of Standards and Technology recently reviewed a paper questioning the feasibility of robust AI alignment. Researchers argue that securing models against adversarial attacks remains a cyclical struggle. This analysis highlights a persistent gap between theoretical safety and practical deployment. Practitioners must now weigh these systemic vulnerabilities against current alignment benchmarks.