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I imagine it will learn to win under some circumstances, perhaps in a case with some context expressing a desire to win. Drawing out an LLMs upper ability in th
by famouswaffles 9d ago
I imagine it will learn to win under some circumstances, perhaps in a case with some context expressing a desire to win. Drawing out an LLMs upper ability in the game should be fairly straightforward.
- HarHarVeryFunny 9d agoIf you asked it to try to win, to "plan lines step by step", etc, then it would do it's best to follow that instruction, but unless RLVR trained to reason about chess (easy to do, but not sure which models may have done it) then it'd have to instead rely on the chess reasoning it had seen during pre-training (post-game interviews etc), which I doubt is enough to do very well. However, if you just ask it to continue a game, halfway in progress, then by default it will try to predict the most likely continuation, which is that both players will continue to play at the level they have done so far. This isn't a theory - it's been documented, as well as what you'd expect.
- famouswaffles 9d agoI mean sure, but I'm not sure what that has to do with the broader point. It will learn to play, and it will have a model of what it means to win.
- HarHarVeryFunny 9d ago> I'm not sure you quite understand the full meaning of this statement. If you did, your following paragraphs wouldn't follow I was just explaining how this comment you made is wrong.
- famouswaffles 9d agoIt's not wrong. You admit that LLMs will 'learn anything that helps them predict' and fail to realize the breadth of that statement. Your chess statements don't really help your case. It doesn't matter that it usually doesn't primarily care about winning. It still learnt how to play the game, and it still knows how to win. Similar outcomes for predicting emotions would mean it still developed an affective state, and that its ability to 'feel angry' is no less real.
- HarHarVeryFunny 9d agoI said an LLM will learn anything that helps it to predict, then gave examples of playing chess by prediction and predictive emotions, both of which you seem to now accept, so you are now accepting that my "following paragraphs" did in fact follow. Go figure! You want to argue that predictive emotions are just as real as animal emotions, but that doesn't stop them from being predictive (and that AI that smiles as it kills you still seems concerning). ¯\_(ツ)_/¯
- famouswaffles 9d agoWe are talking past each other now I think. Correct me if I'm wrong but it doesn't look like the possibility of LLMs having qualia even registers to you because it's 'predictive emotions'. There's no better way to predict an angry response than to be angry, qualia and all. If transformers could 'learn whatever it needs to predict text', then that potentially includes the feeling of anger. You are making some kind of distinction between 'predictive emotions' and the kind that happens when get a promotion (or get passed on a promotion) and I'm telling you that if you really understood what you said, you'd realize it is possible the machine is experiencing it the same.
- HarHarVeryFunny 9d agoSo now you're trying to pivot to consciousness and qualia ? There are other people in this thread who want to talk about that stuff, so try them instead.
- famouswaffles 9d ago>No - suffering in an emotional state, and we'll know if we are choosing to design cognitive architecture with emotions. It's not going to happen accidentally. This was the (your) comment that started this chain. You were already talking about it. If you don't want to keep talking about it then that's fine but let's not act like i'm suddenly pivoting yeah?