[aprilfoo]

"AI" is too much of a broad umbrella term of competing ideas, from symbolic logic (FOL, expert systems) to statistical operations (NNs). It's clear today that the latter has won the race, but ignoring this history doesn't seem to be a very smart move.

I'm in no way an expert but I feel that today's LLMs lack some concepts well known in the research of logical reasoning. Something like: semantic.

[ACCount37]

AI is a broad field because intelligence is broad field.

And what's remarkable about LLMs is exactly that: they don't reason like machines. They don't use the kind of hard machine logic you see in an if-else chain. They reason using the same type of associative abstract thinking as humans do.

[aprilfoo]

Surely "intelligence" is a broad field... i might not be so that great at it, but i hope that's ok.

"[LLMs] reason using the same type of associative abstract thinking as humans do": do you have a reference for this bold statement?

I entered "associative abstract thinking llm" in a good old search engine. The results point to papers rather hinting that they're not so good at it (yet?), for example: https://articles.emp0.com/abstract-reasoning-in-llms/.