A current LLM does not interact with the external world in a way that would seem to lead to an understanding of it. It emits a response to a prompt, and then reverts to passively waiting for the next one. There's no way for it to anticipate something will happen in response, and thereby get the feedback needed to realize that there is more to the language it receives than is contained in the statistical relationships between its tokens. If its model is updated in the interim, it is unaware, afterwards, that a change has occurred.