

I’ll admit i havent looked into it in a couple years, but I could have sworn this was why real time kinematic positional systems existed. I can’t imagine the crystal timer nor the accuracy of a digital signal could be the issu
(Of course I’m too lazy to google it so take this as scientific as the effort i put in, minimal lol)
I skimmed over your entire comment minus the part about docker, so if you answered this somewhere and I’m a dumbass I already accept fault,
that being said docker has taught me more about Linux than anything else, cause its like a micro Linux you can reliably bring up and take down on demand, without requiring risking breaking your GUI or something scary
To get a bit more technical, they build images in passes; each becoming more coherent than the last. This gives thsm a boost to understanding understand how ‘things’ relate to one another, knowing them by nothing but that relation. Light + light source being an example, and the angle of lighting being another deeper layer of that a - completed on a less noisy pass.
This is how its able to build images from its training parts, it sorta understands how each of them relate to some things, so its able to sorta organizes an image of random noise each pass, eventually creating a ‘unique’ image inspired by its training data.
It also gives it that perfect image you mention, cause its specifically trained to look like what looks good to us - its essentially a function optimised on nothing but.
A decade or 2 ago? Maybe a ton
Now? This is essentially the truth with the internet