That seems more unlikely to me -- training is not free and takes a long time, so it would not result in "[enhancing] the usefulness of results displayed in the Gemini app" and it being "particularly helpful to our users looking for up-to-date information."

Fine-tuning, which is cheaper and faster, has been proven to not be a good solution to "teach" models new facts.

I think what's most likely here is that Gemini will have access to a form of RAG based on a database of AP articles that gets updated in real-time as new articles are published.

They can't deploy that fast and people want to pin model version so it's not feasible anyhow.

If there's any company who can afford "real-time LLM training" at this moment, I'm 100% sure they will win this AI race since they probably have at least ~10x compute compared to competitors. Of course, no one can do that right now.

Have you ever asked an LLM what time it is? It takes months to train them...