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I think it depends on your standards. LLMs are by far the best general purpose artificial reasoning system we've made yet, but also they aren't really very good at it. Especially more complex steps and things that require rigor (chain-of-thought prompting and such helps, but still, they have super-human knowledge but the reasoning skills of maybe a young child)

> super-human knowledge but the reasoning skills of maybe a young child

Super-human knowledge is certainly true (all of wikipedia in multiple languages at all times, quickly)

Consider however, an important distinction. A young child is really, exactly not the way to think of these machines and their outputs. The implicit connection there is that there is some human-like progress to more capability.. not so.

Also note that "chain of reasoning" around 2019 or so, was exactly the emergent behavior that convinced many scientists that there was more going on that just a "stochastic response" machine. Some leading LLMs do have the ability to solve multi-step puzzles, against the expectations of many.

My "gut feeling" is that human intelligence is multi-layered and not understood; very flexible and connected in unexpected ways to others and the living world. These machines are not human brains at all. General Artificial Intelligence is not defined, and many have reasons to spin the topic in public media. Let's use good science skills while forming public opinion on these powerful and highly-hyped machines.

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