this post was submitted on 21 Jul 2023
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That's how language models work. It's grouped into AI as is so many things, but it's not AGI. It could open the doors to AGI as a component, but isn't actually thinking about its answers. And those probabilities are driven by training reinforcement which includes the bias of giving an answer the human will receive well. Of course it's going to "lie" or make up things if that improves the acceptance of the answer given.
The best description I've heard to give to most people is that llms knows what the right answer looks like, not what it is.