What a weird question, it really should be reversed shouldn't it?
But here goes. It's a language model. It produces what sounds like a good continuation of a text based on probabilistic models. While it sounds like human generated content, "it" doesn't actually "think". It doesn't have a culture. It doesn't have thoughts. "It" is a model that generates text that mimics what human whose text it has trained on would have answered. We humans have a tendency to associate that with a sentient thing producing it, but it is not sentient. It is a tree of probabilities with a bit of a randomization on top of it.
> to accurately produce the next token you must have an understanding of the world you're talking about.
I don't think this is true. It seems to me that you could do this through sheer statistics, and have no understanding of the world you're talking about at all.
>It seems to me that you could do this through sheer statistics, and have no understanding of the world you're talking about at all.
I'm not sure that there is a difference. If there is, what would be an example of true understanding vs just statistics? All of intelligence is ultimately recognizing patterns and layers of patterns of patterns.
Blinded by the implementation we forgot that maybe it's the software (ideas) on top that matters most. The real magic is in the language, not in the brain or transformer. Both the brain and transformer learn language from external sources. There are lots of patterns in language, patterns both humans and AIs use to act intelligently. These patterns act like self replicators (memes) under an evolutionary process. That's where the language smarts comes from - language level evolution. Humans are just small cogs in this language oversystem.
But here goes. It's a language model. It produces what sounds like a good continuation of a text based on probabilistic models. While it sounds like human generated content, "it" doesn't actually "think". It doesn't have a culture. It doesn't have thoughts. "It" is a model that generates text that mimics what human whose text it has trained on would have answered. We humans have a tendency to associate that with a sentient thing producing it, but it is not sentient. It is a tree of probabilities with a bit of a randomization on top of it.
Ergo, it cannot reason.