Could have just stored those in PiFS https://github.com/philipl/pifs
That’s nice, albeit I want to point out for anyone wondering that this is only conjectured and not guaranteed:
One of the properties that π is conjectured to have is that it is normal, which is to say that its digits are all distributed evenly, with the implication that it is a disjunctive sequence, meaning that all possible finite sequences of digits will be present somewhere in it.
There is no guarantee for any specific sequence to appear in π, but for short chunks chances are better (it’s not really a probability, but it’s simpler to say and I can’t explain in details anyway). That’s because (from wiki):
It is widely believed that the (computable) numbers √2, π, and e are normal, but a proof remains elusive.
It’s pronounced “Piff Es” for anyone wondering
Idk if it’s irony, but the real pronounce is probably /paɪ ɛf-ɛs/ (english)
or /'pi fs/ in every other language that reads letters as they are written
Remember that Sloot thing from late 90s?
No, what was it?
found it - here’s a detailed account https://corecursive.com/sloot-digital-coding-system/
Wow that was quite the read, thanks!
Yeah, that had me hooked to the screen.
you’re welcome
Very interesting piece of history. Thank you!
you’re welcome
so basically there was a dutch tech bro in the late 90s who claimed he had developed a compression technique that could turn a movie into just a couple of kilobytes and right when he was going to sign with some investors he mysteriously passed away leaving no documents explaining his invention.
And his investors family were stabbed, and another guy relates to it had is car blow up. Random or coordinated?
why would someone kill him over it? what do you think?
Not saying that’s what happened, but if I ever find myself in a similar situation, I’m faking my death and move halfway across the world in heartbit. After I get the money of course
most likely he just overstressed because he sold folks a bill of goods
Yup. It seems a lot more likely than solving a problem that we still can’t solve, and that might not even be possible, in the 90’s.
I’d be game for that. I hate the fact that photos of me exist in this world.
Lmfao “tears of joy”
Precisely! We human people all know that tears definitely do not express joy.
Correct?
Trying to find it funny, but in 2026 it’s way too close to the bone and just makes me sad.
Yeah. I first thought it’s about jpeg, then i read ai and i wasnt sure if its worrying stupidity reporting or bad satire.
Had Sam Altman personally vocalized this article in full sincerity, I would not have been surprised.
It’s what Apple and MS basically do by uploading all your images to iCloud and showing the name in your images folder.
Edit to ask: is this what the human brain does when retrieving a memory?
Yeah, like how they are destroying rare books.
I mean, you don’t get that back just by asking the content theft machine.
Throw some angel investment cash at this guy already!
All fun and games until you post a story about how clumsy your dad was and now all your photos are updated to show him as just a giant thumb…with thumbs for arms, and legs, and hands and feet, and fingers and toes. Just all thumbs, all the way down. Like tripping on acid with Rita Repulsa.
Dd…ddaadd?
All I see is a police man wearing red, I don’t get it.
For some reason all my photos now show me having two left hands.
Non paywalled
I’d be more interested in lossy compression tho. Few % of image quality loss for multiplying compression ratio is mega useful.
Is it a compression when you need presumably gigabites of a model to reconstruct the data?
It’s like saying rainbow tables are compression.
A roughly 340MB model at fp16 is all it takes to beat xz and zstd by 2x compression on text
They’re using domain-specific LLMs to compress narrow-domain data. Their text compression LLM was trained on, and then tested on, legal text and medical text.
There’s no reason one couldn’t apply the domain-specific-compressor idea to a conventional lossless text compressor, essentially moving much of the dictionary from the compressed file to the program itself. I don’t know if anyone’s tried that. I’d like to know how that compares.
There’s a number of compression projects working on this, this is the first that comes to mind
I’ve read that the Trump administration is hiring him to archive all of the Epstein files using that format.
Compressing the Epstein files is easy: “Donald Trump raped children.” What’s my Weissman score?
I imagine you could actually make an insane compression algo if you used AI as support for regular jpg compression. Not this way tho.
Your imagination is not how computer science works
Whatever happened to fractal image compression, which compressed an image by finding parts similar to larger regions of the picture, so that is could reconstruct the image from itself.
It only works if the image is actually fractal-like. Real world is a bitch
Were in a fractal just too zoomed in to notice
Sometimes the world is a Mandel Bro and sometimes it isn’t.
I compress my meals by putting them into a blender to liquify them before consumption!
The fuuuucking annoying part is that these weight trained models would be perfect for translation models, compression, etc. An llm is already kind of a really efficient lossy compressor but you could actually make it lossless and an actual compressor if used properly. But instead people are literally telling llms to translate instead of training models that are for translating. The technology isnt the problem itself, its the industry and capitalism.
lol no you cannot make it lossless.
Yeah you can? A neural network that only relies on wheights and doesnt use random numbers will always give the same output for the same input.
So does lossy compression… same output for input of an algorithm is deterministic, not lossless…
Enhance!
There are not many places where 95% compression of UTF-8 plain text could outweigh needing a 30GB model in memory and a significant fraction of current LLM inference cost to decompress it − and good luck convincing librarians to adopt it.
There’s a 300 MB library for audio compression using it. If you have large audio libraries it could eventually become worth the tradeoff.
https://huggingface.co/facebook/encodec_32khz
The image versions are probably more useful though.
The important part for these codes is that it has pre-LLM functions for quality metrics to judge if the output is close enough to indistinguishable (preserves detail, doesn’t add any).
Although there is also variants deriving a neural net from the media to recreate it from the smaller model.
On a similar note, I saw a story a bit back of someone saving input tokens by feeding the bot an image of a wall of text rather than the text itself and having it read the image via OCR.
Satire and reality are too hard too distinguish these days.
I mean, back in my days (👴) people sent a photo pasted into a word document, so things haven’t change that much…
They still do
I see this one all the time on LinkedIn, the management rubes love it
Saves input tokens and uses more output because of OCR, and output is priced way higher.
It’s an accounting trick. It uses a different budget…
This reminds me of IPoAC
No no IPoAC is far more viable
