You’re still personifying it too much. Whether or not you get angry doesn’t matter to it. It has no concept of whether something matters. It’s just predicting tokens based on the token correlations it encoded in its NN parameters during training plus a bit of random noise. Everything else is just trying to set up the context in the hopes that it predicts the tokens you want it to.

And since it wasn’t trained on every possible context, it’s overfitted to some (eg maybe a mention of yellow will make it very likely to talk about bananas) and lacks any useful context at all for others (eg your very specific problem).