https://en.m.wikipedia.org/wiki/Manifold_hypothesis
i learned about this yesterday... last year, at one point, i had a bit of a mind blinder over how you can encode massive pieces of data with tiny pieces of data, i forget the scheme... completely forget it, but i'm sure it will come back to me...
it really flipped my wig at the time tho... i wish i could remember how i was envisioning utilising it
machine learning uses these things, apparently, and i can totally believe that you could devise a scheme to radically compress big long values like npubs and events, with zero chance of collision, would be an epic optimization for nostr event stores
I'm fuzzy on the details, but I think the holographic principle sounds like a physical cosmological description of this idea.
The total information contained in the 3D volume of a black hole is, remarkably, entirely encoded on the 2D event horizon of the black hole 🤔
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