The date after which an AI model has no built-in knowledge, unless it retrieves current information at query time.
ID
SS-DF-120
Confidence
Established · 78
Evidence
Established
Updated
2026-07-08
Definition
The date after which an AI model has no built-in knowledge, unless it retrieves current information at query time.
A knowledge cutoff is the point at which a model's training data ends, so anything newer - a rebrand, a launch, a price change - is unknown to it unless the engine fetches live sources. This is why grounding and web retrieval matter so much: they let an otherwise out-of-date model answer accurately about recent events. For brands, it means recent changes only reach non-browsing models at the next training update, while keeping crawlable, current pages ensures grounded engines can still get you right today.