LLMs make the same mistakes over and over. And even if/when they have the capacity to learn on the fly, they have no capacity to prioritize. It's all just a big haze of tokens.
That's my overall point. Humans have mistakes and then they have MISTAKES. And a whole continuum in between. LLMs just have a mish-mash of training data. I think before LLMs are more than just fancy parrots, we need a find an analogue to pain, shame, joy, fear, and the myriad other emotions that factor into human decision-making.
Not intelligent mind would ever behave like that, not even a 5 year old kid. Or hell, if you trick a dog a few times it'll get annoyed by your antics and go back to sleep on its pillow. An LLM, you can trick for aeons.
Yet somehow most of the AI industry has deluded itself into thinking that LLMs are on the threshold of general intelligence instead of being nothing but fancy stochastic parrots.
> How important it is, therefore, for a baby to have his mother consistently looking after him, looking after him over a period of time, surviving his attacks, and eventually there to be the object of the tender feeling and the guilt feeling and sense of concern for her welfare which come along in the course of time. Her continuing to be a live person in the baby’s life makes it possible for the baby to find that innate sense of guilt which is the only valuable guilt feeling, and which is the main source of the urge to mend and to re-create and to give.