I love uv. The one gotcha I'll warn people about is: don't touch uvx. I've lost an embarrassing number of hours or days trying to figure out why nothing works properly or makes sense when I tried to run things with uvx. I guess I understand why it's there, but I think it's a built-in foot-gun and not well documented. But if you stay away from it, things work great.

At some point the world's gonna figure this out and start making tetrachrome cameras and screens and it's gonna be the next big TV upgrade after 8k.

Cool - thanks for explaining that. I totally see how each has its place.

I imagine it's pretty complex to take the raw scan data and generate 3dgs. Are these algorithms simple & standard, or do they take a fair amount of tuning & tweaking to do a good job? Adapting these to work well with hard-edge ovals seems like it would take some work, and a lot more work to get them to output a mix of ovals & fuzzy blobs. But if you could do that, I agree the combination would be amazingly expressive.

How much of the huge file size is because you need tons of splats to simulate a hard surface? Conceptually the splats seems flawed because gaussians don't have hard edges - they literally go to infinity in all directions, just at vanishingly small densities. So practically everybody cuts them off at 3 sigma or something, which covers 99.7% of the volume. But real-world objects have hard edges, and splats don't.

Would the format work better if you made that cut-off at something like 1 sigma instead? Then instead of these blurry blobs you'd effectively be rendering ovals with hard edges. I speculate out loud that maybe you could get a better render with fewer hard-edged ovals than tons of blurry blobs.

I read a lot of AI papers on arxiv, and it's been a while since I read one where the first line of the abstract had me scoffing and done.

> We introduce the FIRST method for translating text embeddings from one vector space to another without any paired data

(emphasis mine)

Nope. I'm not gonna go a literature search for you right now and find the references, but this is certainly not the first attempt to do unsupervised alignment of embeddings, text or otherwise. People were doing this back in ~2016.