This is off-topic and a crazy idea. I was avoiding posting this, but sometimes the pressure of ideas swirl my mind and don’t quiet until I let them out.
With the understanding my brain is randomly pattern matching limited data, I was pondering the following diagram from Lesson 9:
Neural networks are probablistic.
Quantum mechanics is probabilistic.
Nature tends to evolve to the “most efficient” solution, so information compression may form part of the universe’s underlying representation. “What if” fundamental particles (or larger objects) exist as a compressed “latent”.
The universe “runs” in latent-space.
In a way similar to Stable Diffusion, vacuum energy forms a noisy background on which these latents are decoded, in a way consistent for all viewers each time-step (see recommended reading).
Experiments like the double-slit where observation affects the results occur because that provdies an extra factor in the latents denoising.
Mass slows down time due to a concentration of latents-denoising.
That is all. I feel better now.
p.s. recommended reading - Fall, by Neal Stephenson