A new proposal on the AI Alignment Forum argues that standard probability distributions cannot fully express certain beliefs. This theoretical framework addresses gaps in how agents represent uncertainty. By moving beyond single distributions, researchers aim to refine formal epistemology. The shift provides a more rigorous mathematical basis for AI safety and alignment research.