One thing that continues to bore me about the whole thing is that what
seems to most surprise Strogatz is still just interpolation. He feels that
the unit distance problem is creative because there are these two highly
developed areas of mathematics where researchers failed historically to
look for functors between.

Ok, yeah, I get it. As an institutional doctoral student, one is likely to
be handed a small segment of one of these interpolation problems so that
they can work toward it while showing the world that the accreditation is
deserved. That kind of thing never really impresses me, maybe it should. I
don't care much for industrial education anyway.

I think it is novel that all these years later, my favorite introduction to
Number Theory (Niven 2 or 5) is effectively *just* a retelling
of Disquisitiones Arithmeticae.

Before the usual objection is made, about humans not being all that special
because if I can say what humans do (in language) then I have effectively
stated a recipe and some Turing machine can halt. I suspect LLMs can be
made to do the thing I would like to see, ML already does things like
enhanced sampling (weighted ensemble, etc...). It will eventually happen
and I will be impressed when these machines begin to scout effectively
beyond the convex hull. Because I tend to believe that there is no free
lunch, this effective extrapolation will be ugly just as it is for us, for
ants, for anything.

I suppose my objection is that if we become self-satisfied with what these
machines are doing we may fail to continue looking at what legacy systems
do surprisingly well.
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