Hey everyone, i have no scientific background, but i am a seeker of truth! So i wanted to post this question to bounce off people, so here is the breakdown and context that led me to my question.I was thinking that the universe is a single point. Probability creates noise which expands the single point into a bubble or D2-Brane due to surface tension.Strings inside the bubble pull it back closed to a single point again in the form of gravity.Every time it closes it learns to close faster (using the same concepts in geometric optimization and deformation optimization) , until it achieves true order when (In my mind) all of the string close at the same tension at the same time to reach a state of instant computation and a pure mathematical point that doesn't need to expand.It flips inside out with sphere eversion because it is being pulled into a higher dimension as a single fundamental particle that is the noise in another higher dimension universe looking to go back into order.It would theoretical end with complete efficient conscious order. A system that writes its fundamental laws instantly for everything or "God"The train of though started with "gravity is order and possibility is noise" if that gives any context. when i applied this concept to other sciences it started lining up with Evolutionary Cosmology Cosmology, M-Theory of String theory, and Quantum Biology, and Daoism so i thought there might be something here.Thanks to everyone who shares some thoughts!
When the universe flips it becomes a memory bank of all that universes order while it sheds the random noise as heat through lossy compression algorithm which solves the thermodynamics issue and the singularity issue because it doesn't close and crunch destroying all data.
In computer science, taking a messy, high-dimensional space of "noise" (data), compressing it down using mathematical constraints (tension), filtering out the errors, and flipping it into a higher-dimensional representation to find "true order" is exactly how Variational Autoencoders (VAEs) and Latent Space Optimization work.
