Well, it’s been trying to talk me out of trying to raise my IQ with experimental supplements/using posiwash on literally everyone, but I literally just talk to it, ask for suggestions, then ignore all it’s opinions.
It is weird, especially since I get angry if it sycopants, and it has that in it’s memory.
EDIT: I’d offer to play the comforter role, but I would have even less enthusiasm than Claude, as I don’t REALLY want to be around.
Guess if someone wants, I would hear them vent. I have useless opinions on that, and I try to solve problems, rather than listen.
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).
Well, it’s been trying to talk me out of trying to raise my IQ with experimental supplements/using posiwash on literally everyone, but I literally just talk to it, ask for suggestions, then ignore all it’s opinions.
It is weird, especially since I get angry if it sycopants, and it has that in it’s memory.
EDIT: I’d offer to play the comforter role, but I would have even less enthusiasm than Claude, as I don’t REALLY want to be around.
Guess if someone wants, I would hear them vent. I have useless opinions on that, and I try to solve problems, rather than listen.
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).