Earlier quoted context omitted.
> Perhaps it has learned by observation that friendly questions get helpful answers It tries to predict next words, and this is it's only goal, answering your question is like controlled side effect
Predicting the set of words that constitutes a helpful response when given a friendly question is still valid in the world of stochastic parrots. Reducing it's actions to "just predicting the next word" does a disservice to what it's actually doing, and only proves you can operate at the wrong abstraction. It's like saying "human beings are just a bunch of molecular chemistry, and that is it" or "computers and the in…
it is true that those models can have amazing results, but they try to give most realistic answer and not correct or helpful one.
Because of fine tuning we very often get correct answers and sometimes we might forget that it isn't really what model is trying to do
To give you life analogy: you might think that some consultant is really trying to help you where it's just someone trying to earn money for living and helping you is just a way he can achieve that. In most cases result might be the same but someone eg. bribe him and results might be surprising