A new technical exploration on the AI Alignment Forum argues that standard probability distributions fail to express certain beliefs. The author proposes a formal epistemology to handle these imprecise beliefs. This theoretical framework aims to improve how AI systems represent uncertainty. Practitioners can use these insights to refine alignment strategies for complex reasoning tasks.