standards observatory
Watch the words around models move.
LLM standards rarely arrive as a single clean announcement. They appear as benchmark notes, model cards, safety policies, procurement requirements, classroom rules, evaluation rubrics, and release-page phrasing. The Standards Observatory treats those fragments as moving signals. Its job is to notice when a term becomes narrower, when a benchmark is overquoted, when a safety claim loses its conditions, or when a new release changes what yesterday's explanation meant.
Release language
What does the provider actually claim, and what did readers add later?
Evaluation drift
Has a metric been reused outside the conditions that made it meaningful?
Policy weather
Did a rule, law, or platform standard change the answer window?
The observatory does not pretend to certify the whole AI field. It gives readers a repeatable posture: slow down the strongest sentence, locate the date and source, separate the provider's statement from a third-party interpretation, and mark whether the answer should be treated as stable, cloudy, or actively changing.