What you are describing is true of older LLMs. GPT4, it's less true of. GPT5 or whatever it is they are training now will likely begin to shed these issues.

The shocking thing that we discovered that lead to all of this is that this sort of LLM continues to scale in capabilities with the quality and size of the training set. AI researchers were convinced that this was not possible until GPT proved that it was.

So the idea that you can look at the limitations of the current generation of LLM and make blanket statements about the limitations of all future generations is demonstrably flawed.