Could you give us an idea of what you’re hoping for that is not possible to derive from training data of the entire internet and many (most?) published books?

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techpression 3 hours ago | parent [-]

This is the problem, the entire internet is a really bad set of training data because it’s extremely polluted.

Also the derived argument doesn’t really hold, just because you know about two things doesn’t mean you’d be able to come up with the third, it’s actually very hard most of the time and requires you to not do next token prediction.

	▲	threethirtytwo 18 minutes ago \| parent [-]
		The emergent phenomenon is that the LLM can separate truth from fiction when you give it a massive amount of data. It can figure the world out just as we can figure it out when we are as well inundated with bullshit data. The pathways exist in the LLM but it won’t necessarily reveal that to you unless you tune it with RL.