In-context learning in LLMs maps fairly well onto the concept of fluid intelligence. There are several papers now indicating that general learning algorithms emerge in LLMs to facilitate in-context learning.
I assume you're talking about things like that?
* These papers probably don't mean what they seem to.
* Even if they did, it's not the right type of "general learning algorithm", in my view. See here, plus a paragraph in Section 6 about how "general in the limit" doesn't mean "actually reaches generality in finite time with finite data".
I'll grant that it does have a spooky vibe.
In-context learning in LLMs maps fairly well onto the concept of fluid intelligence. There are several papers now indicating that general learning algorithms emerge in LLMs to facilitate in-context learning.