A new proposal on the AI Alignment Forum argues that most alignment failures stem from poor value generalisation. The author claims this specific deficit is a fundamental reason why the alignment problem remains difficult. Practitioners should view generalisation as the primary path to safety. This theoretical framework attempts to unify disparate failure modes into one core issue.