A knowledge cutoff is the date after which a model's training data ends: events, products, and facts newer than the cutoff are simply not in its weights, and as
The date after which a model's training data ends: events, products, and facts newer than the cutoff are simply not in its weights, and asking about them invites hallucination.
The practical rule of 2026 architecture is that anything time-sensitive comes from retrieval or tools, search, databases, APIs, never from model memory. Knowing a model's cutoff and designing grounding around it is basic AI literacy.