I agree with S.Wolfram's article and think it is prescient. However, it seems that the combination of Wolfram Language and ChatGPT is not easy.
For example, yesterday I asked ChatGPT "What is the second highest mountain in Japan? and the answer was "Mount Okuhira". When I asked him, "Where is Mt. Okuhira?" he replied, "It is northwest of Sapporo in Hokkaido. Actually, there is no such mountain.
In the illustration of ChatGPT by S. Wolfram, the main component is a language model neural net. As his paper shows, ChatGPT uses this language model neural net for statistical inference. This language model, like most humans, are not good at mathematical inference, as is to be expected from the vast amount of documents. Can this shortcoming be basically eliminated?
As the figure shows, we can expect reinforcement learning to help, but will mathematical thinking ever have the upper hand in this vast amount of human knowledge? As far as the recent world situation is concerned, we cannot expect much.
Therefore, it seems that what Wolfram Language should do is to develop its own. For the time being, as I mentioned in my article, ChatGPT will be an unexpected inspiration.