Why the ruliad trumps IQ
There is a very straightforward idea borrowed from the Wolfram Physics project that applies to human intelligence and creativity as follows: the rurial multiway graph of nondeterministic Turing machines can simulate any number of things, including the evolution of the Multiverse — but also human minds. One could model humanity in the limit as the evolution of all possible Turing machines on all possible inputs. Of course, humans don’t work so randomly, but even this simplified model finally explains a mystery: why do so-called geniuses like, say, Grothendieck (an example annoyingly often cited to me as a supposed counterexample to my thesis) seem beyond the understanding of their own peers? Is it because they are allegedly “uncomputable,” or simply radically different software running on the same inputs but with entirely different conclusions? In fact, if you think about it, this kind of distributed search by unique individuals must be necessary because, following Gödel, Post, and Chaitin, there is no “perfect” method or individual. Anyway, using this idea of the rurial multigraph graph of human minds, one can then define physical concepts such as the distance, or the speed of translating, between any two minds in this space. Such computational metrics could begin to finally explain why some people just seem “beyond reach.” This idea is pretty obvious — Wolfram himself recently described it in a talk with a couple of students.
