AI safety is a complex, evolving field with no universal standard — terms like alignment, red-teaming and risk thresholds mean different things to different developers. Grading frontier labs on governance without accounting for the technical nuance behind safeguards, evaluations and deployment contexts oversimplifies a deeply layered challenge. A glossary of competing definitions isn't a failure of the industry — it reflects how genuinely hard this problem is.