this post was submitted on 29 Aug 2023
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I think the idea is that someone buying a basic book on foraging mushrooms isn't going to know who the experts are.
They're going to google it, and they're going to find AI-generated reviews (with affiliate links!) of AI-generated foraging books.
Now, if said AI is generating foraging books more accurate than humans, that's fine by me. Until that's the case, we should be marking AI-generated books in some clear way.
The problem is, the LLM AIs we have today literally cannot do this because they are not thinking machines. These AIs are beefed-up autocompletes without any actual knowledge of the underlying information being conveyed. The sentences are grammatically correct and read (mostly) like we would expect human written words to read, however the actual factual content is non-existent. The appearance of correctness just comes from the fact that the model was trained on information that was (probably mostly) correct in the first place.
I mean, we should still be calling these things algorithms and not "AI" as "AI" carries a lot of subtext in people's minds. Most people understand "algorithms" to mean math, and that dehumanizes it. If you call something AI, all of a sudden people have sci-fi ideas of truly independent thinking machines. ChatGPT is not that, at all.
I agree. And ML may never be able to cross that line.
That said, we've been calling it AI for decades now. It was weird enough to me when people started using ML more. I remember the AI classes I took in college, and the AI experts I met in my jobs. Then one day it was "just ML". In most situations, it's the same darn thing.