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> Can we assume everything that can be updated is updated?

What does that even mean? Of course an LLM doesn't know everything, so it we wouldn't be able to assume everything got updated either. At best, if they shared the datasets they used (which they won't, because most likely it was acquired illegally), you could make some guesses what they tried to update.

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therein a day ago | parent [-]

> What does that even mean?

I think it is clear what he meant and it is a legitimate question.

If you took a 6 year old and told him about the things that happened in the last year and sent him off to work, did he integrate the last year's knowledge? Did he even believe it or find it true? If that information was conflicting what he knew before, how do we know that the most recent thing he is told he will take as the new information? Will he continue parroting what he knew before this last upload? These are legitimate questions we have about our black box of statistics.

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aziaziazi a day ago | parent [-]

Interesting, I read GGP as:

If they stopped learning (=including) at march 31 and something popup on the internet on march 30 (lib update, new Nobel, whatever) there’s many chances it got scrapped because they probably don’t scrap everything in one day (do they ?).

That isn’t mutually exclusive with your answer I guess.

edit: thanks adolph to point out the typo.

	▲	adolph a day ago \| parent [-]
		Maybe I'm old school but isn't the date the last date for inclusion in the training corpus and not the date "they stopped training"?