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 unsolved. This theoretical framework suggests targeting generalisation as the primary path to safety. Practitioners should evaluate if their current reward functions suffer from this specific flaw.