this post was submitted on 04 Sep 2024
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It all depends on how and what you ask it, plus an element of randomness. Remember that it's essentially a massive text predictor. The same question asked in different ways can lead it into predicting text based on different conversations it trained on. There's a ton of people talking about python, some know it well, others not as well. And the LLM can end up giving some kind of hybrid of multiple other answers.
It doesn't understand anything, it's just built a massive network of correlations such that if you type "Python", it will "want" to "talk" about scripting or snakes (just tried it, it preferred the scripting language, even when I said "snake", it asked me if I wanted help implementing the snake game in Python 😂).
So it is very possible for it to give accurate responses sometimes and wildly different responses in other times. Like with the African countries that start with "K" question, I've seen reasonable responses and meme ones. It's even said there are none while also acknowledging Kenya in the same response.