A new proposal on the AI Alignment Forum argues that most alignment failures stem from poor value generalisation. The author claims this deficiency is a fundamental reason why the alignment problem remains difficult. This theoretical framework targets generalisation as the primary path to safety. Researchers can use these definitions to categorize specific model failure modes.