Symmetry is a (if not ‘the central’) Schelling point if one is in fact using harmonics for computation. I.e., I believe if one actually went and implemented a robot built around the computational principles the brain uses, that gathered apples and avoided tigers, it would tacitly follow a symmetry gradient.
Here’s @lsusr describing the rationale for using harmonics in computation — my research is focused on the brain, but I believe he has a series of LW posts describing how he’s using this frame for implementing an AI system: https://www.lesswrong.com/posts/zcYJBTGYtcftxefz9/neural-annealing-toward-a-neural-theory-of-everything?commentId=oaSQapNfBueNnt5pS&fbclid=IwAR0dpMyxz8rEnunCbLLYUh1l2CrjxRhNsQT1h_qdSgmOLDiVx5-G-auThTc
Symmetry is a (if not ‘the central’) Schelling point if one is in fact using harmonics for computation. I.e., I believe if one actually went and implemented a robot built around the computational principles the brain uses, that gathered apples and avoided tigers, it would tacitly follow a symmetry gradient.