this post was submitted on 12 Oct 2023
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Technology
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Imo this article is mainly playing semantics. Even if they are right and this is seen as "the beginning" one day, the current LLMs only perform well in very narrow tasks, everywhere else they are sub-par to humans. Unfortunately, that will not stop many companies from using them for shit they cannot handle, just to have this blow into the face of society later. That would be the much more interesting talking point; in which areas can we see companies jumping the gun and what will be the problems and dangers that arise from it?
The fact that they can perform at all in essentially any task means they're general intelligences. For comparison, the opposite of a general intelligence is an expert system, like a chess computer. You can't even begin to ask a chess computer to classify the valence of a tweet, the question doesn't make sense.
I think people (including myself until reading the article) have confused AGI to mean "as smart as humans" or even as "artificial person", neither of which is actually true when you break down the term. What is general intelligence if not applicability to a broad range of tasks?