It matters because that would clarify how much this is thought out from first principles; how much recognizes and does not re-invent mountains of prior work; how broad or narrow the work is; whether it recognizes that directions of thought X and Y have been worked on quite a bit already, etc.

Since the author here says this is not just a random blog post.

To me, this would correct the introduction's reference to "AI-based language models". Which is a bit too "latest fad"; But which I do find fascinating because the success of language models hint that a very large part of the basic human's intelligence may be simply internalized language (much of the rest being still more pattern recognition.); But which cannot merely erase all other prior work on what makes our minds.