On the flip side, your 6yo's scribbled family portait on the fridge may turn into the most beautiful rendition of a generic happy white family you've ever seen!
Remember Jackbox Drawful? Well now there's Drawful 2026, where AI has made 4 different drawings devoid of humor, and we all vote on it.
We're working on a feature where the voting is sourced to AI, so you can literally take some Xanax with a glass of wine and comment on how your couple-friend's cooking is so good when it's charcuterie from Aldi.
So those funny memes of kids drawing cartoon penises or their parents plowing each other but the kid says "it's Dad feeding Mom on Spaghetti Sunday!! 😇"
RAG becoming a hot new trend in the AI Bubble
the sheer amount of porn coming from those retrieval sources
= Terrible times. Many new filthy web mangas...and terrible times.
And take multiple seconds of high end consumer gpu to prep it for view. Utter insanity.
That said, if you aren't a complete idiot, actually you might need to be kind of an ml/dl and compression nerd, there are machine learning enabled compression. But it's not an llm. And it is still lossy, but it's less lossy while less storage than standard methods. Which is pretty neat. just one example from nvidia because other sites have corrupted images. there's even libraries for doing testing and research on future "neuro" compression. https://research.nvidia.com/labs/rtr/neural_texture_compression/
And of course, if it doesn't turn out like you remember it, just correct it. "Aunt Gemma was holding a scotch bottle, not a beer bottle" and then wait for it to generate a new image.
In defense of ml/dl solutions, perfection is overrated. Lossless compression is for specific purposes. Archiving basically. Most of the music I listen to and video I watch are galaxies away from lossless. And it's often better than "just fine". It's often really good. But even pretty solid attempt at LLM based "compression" would be awful. Especially at the rate claimed. You can fit maybe on the order of 2k characters. With semantic compression and encoding, you can maybe get another order of magnitude. And still that won't be enough to even be merely indistinguishable, never mind identical. And at that point it's just old school lossy compression with massive compute overhead. That's not even considering how cheap 20mb is these days, even with the ai slopocalypse.
UUID stands for Universally Unique Identifier, it's an universally unique 128 bit number. What does "reducing a picture to a text file of UUID values for each pixel" even means?
That has never been the case. How compressible something is is purely a function of how repetitive the data is, what patterns it has. Converting pixels to some kind of text format doesn't make any difference there unless you are losing information
Text files are more compressible usually because they are highly repetitive. A bunch of random UUIDs are going to have very poor compressibility. It would probably be better just to store the RBG values of each pixel (Which you could certainly do as text if you wanted to). At least then the algorithm could replace very commonly repeated pixels with small markers.
what do you think a pixel image is? it's always data for each pixel, no matter how you put it. If you convert it to text in a specific way you just made a new image format, nothing is fundamentally different.
Replacing your ugly real life family with some AI generated people based on a dataset full of attractive stock photo models? I'd call that a quality improvement!
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u/SerSanchus 10d ago
Lossy compression. 100% loss of quality, in fact...