Joking aside, he sort of implies this in his essay explaining GPT models[1]
At some level this reminds one of the idea of universal computation (and my Principle of Computational Equivalence), but, as I’ll discuss later...
And his "Principle of Computational Equivalence" is [2]
"There are various ways to state the Principle of Computational Equivalence, but probably the most general is just to say that almost all processes which are not obviously simple can be viewed as computations of equivalent sophistication."
Which a cynic might say is mighty convenient, because this is non-specific enough that you can apply it to basically anything and say you invented it and/or it's equivalent to something you invented and if it doesn't quite fit, you can use the "various ways to state" clause to weasel-word your way into something which does.
I find Stephen Wolfram frustrating for this reason. Benoit Mandelbrot is another guy who constantly seems to claim he invented everything, eg the Efficient Markets Hypothesis (which Mandelbrot basically claims he invented because he gave Eugene Fama some advice about the price process for stocks when Fama was a PhD student even though Fama/French was after that and Mandelbrot's idea of the price process for stocks is very obviously and demonstrably wrong if you know about market microstructure and/or look at trade marketdata[3]).
[1] https://writings.stephenwolfram.com/2023/02/what-is-chatgpt-...
[2] https://www.wolframscience.com/nks/p716--outline-of-the-prin...
[3] At a microstructure level price movements are made up of individual trades which jump around wildly with gaps in both the time and price dimension, and it has a base level beyond which you can't "zoom in" any more- it isn't some kind of fractal scaling in time and/or volatility which is what Mandelbrot wants it to be.