[Cloudef]

Yes, this is why I think the LLM and image generation models are still impressive. Knowing they are ML models in the end and still produce a results that surprise us, makes you wonder what we are in the end. Could we essentially simulate something similar to us given enough inputs and parameters in the network, with enough memory, computing power and a training process that would aim to simulate a human with emotions. I would imagine the training process alone would need bunch of other models to teach the final model "concepts" and from there perhaps "reasoning".

Why I think AI is not the appropriate term is that if it were AI, the AI would have already figured everything out for us (or for itself). LLM can only chain text, it does not really understand the content of the text, and can't come up with new novel solutions (or if it accidentally does, it's due to hallucination), this can be easily confirmed by giving current LLMs some simple puzzles, math problems and so on.. Image models have similar issues.