A 2026 retrospective evaluates 26 alignment research projects proposed by Richard Ngo in 2022. The analysis highlights that the 2024 Sleeper Agents paper successfully formalized deceptive alignment using machine learning terminology. This review identifies remaining gaps in inner alignment research. Practitioners can now prioritize unexplored conceptual projects over solved problems.