That's an good answer to the question when taken in strict terms of a model version = weights.

But, insofar as:

1. "a model" as presented to the user, isn't just its weights, but also anything else happening on the "business layer" (though this maybe applies more to ChatGPT than "direct" model access via the API); and

2. said business layer has any "knowledge base"-type stuff going on in it (i.e. automatic or tool-call-triggered embedding of results from search of some vector-DB into which has been embedded distilled pre-validated trustworthy info — like per-user memory mechanisms, but searching + injecting from global shared data sources); and

3. said "knowledge base" mechanisms are where most of the up-to-date, fast-changing info a model "knows" (without having to do a web search) is actually coming from;

...then do y'all ever update the pinned knowledge-base data snapshot associated with the model version, without updating the weights themselves?