For chatgpt, when you try to teach it some few-shot learning task it's painful to watch at first. It makes some mistakes, has to excuse itself for making mistak

For chatgpt, when you try to teach it some few-shot learning task it's painful to watch at first. It makes some mistakes, has to excuse itself for making mistakes when you correct it and then try again. And then at the end it succeeds the task, you thank it and it is happy. It doesn't look so different than the process that you describe for humans... Because in its training loop it has to predict whether the conversation will score well, it probably has some high-level features that lit-up when the conversation is going well or not, that one could probably match to some frustation/satisfaction neurons that would probably feel to the neural network as the qualia of things going well.