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> I don't quite get where you're coming from with "LLM's don't actually understand anything Well, Wikipedia doesn’t understand anything, despite having a lot o
by richardw 3y ago
> I don't quite get where you're coming from with "LLM's don't actually understand anything
Well, Wikipedia doesn’t understand anything, despite having a lot of knowledge encoded in it. This is similar in that it approximates the output of someone who can generate the world’s written word, but there’s a big gap between the monkeys that wrote the original text and the machine that now regurgitates it. What we know is that our written word has enough encoded in it that we can generate new combinations. But one day into a truly novel problem, LLM’s would have no idea.
I kept trying to get ChatGPT 4 to generate code with an AWS API that was released in ~2020. Couldn’t do it. Kept predicting the earlier text because that was the bulk of what it saw. A year of text (to the 2021 cutoff) and it was still unable to let go of the old, now wrong, “knowledge”. Zero understanding, just parroting. No coder with a year of training on a new API would be that wrong. It would say things like “you’re right I must not do X” and then do X again, in the same output.
- two_in_one 3y ago> I kept trying to get ChatGPT 4 to generate code with an AWS API You probably want too much at once. GPT is a shallow thinker, if at all. It can simulate thinking and even get some results. Personally I found it useful for: 1. Simple things that work. This saves time if I know how to do it, and much more if I don't. 2. Quick questions instead of googling API docs and scrolling through tons of info. 3. Translation.