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 alignment remains difficult. By redefining these failure modes, the theory provides a specific framework for researchers. Practitioners can now target generalisation as a primary path toward safer systems.