The way that people who are trying to use ChatGPT is certainly an example of what humans _hope_ the future of human/computer interaction should be. Whether or not Large Language Models such as ChatGPT is the path forward is yet to be seen. Personally, I think that model of "every-increasing neural network sizes" is a dead-end. What is needed is better semantic understanding --- that is, mapping words to abstract concepts, operating on those concepts, and then translating concepts back into words. We don't know how to do this today; all we know how to do is to make the neural networks larger and larger.
What we need is a way to have networks of networks, and creating networks which can handle memory, and time sense, and reasoning, such that the network of networks has pre-defined structures for these various skills, and ways of training these sub-networks. This is all something that organic brains have, but which neural networks today do not..