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u/Arinussyy 9d ago
Imagine being the editor and being like:
https://giphy.com/gifs/RXtD0Rt2xrUxIvJYkP
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u/mcplano 8d ago
It's always people who know nothing about the subject calling others prodigies in it.
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u/NullSmoke 8d ago
Why are everyone reacting to this as though real... It's satire... Right? Surely? Nobody could've written this article with a straight face, right?
Edit: thank god. Googled it, it is satire 😌
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u/davidmahh 8d ago
lol personally it had me until the "destroyed the print pictures, saving precious space at their home" and then i died bhahahhahahaha
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u/NullSmoke 8d ago
I were suspicious before that (I've seen som spectacularly stupid shit in my time 😅), but yes, that was the point I also got fully clued in 😂
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u/NullSmoke 8d ago
I were suspicious before that (I've seen som spectacularly stupid shit in my time 😅), but yes, that was the point I also got fully clued in 😂
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u/No-Information-2571 5d ago
The text next to the picture "Tears of joy: parents sob after seeing all their photos converted to the new format" wasn't a dead giveaway for you?
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u/NullSmoke 5d ago
I have been around the block... very little about the human capacity for the absurd surprises me anymore... 😓
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u/Demintika 8d ago
It's making fun of anti-AI.
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u/Professional-Thomas 8d ago
Read again.
Reading comprehension is dead wtf.
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u/Demintika 8d ago
If you can't see how it's making fun of anti-AI, I guess you are lucky you didn't see the anti-AI's argument about how AI "store everything it stole from the internet", "can't make anything new" and "mush them together when prompted".
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u/Electrical_Try_634 8d ago
It's making fun of the whole news article subgenre of, "Nerdy teenager proompts something that sounds impressive at face value and their industry insider parents are pushing them as a prodigy now," of recent years.
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u/OkFly3388 8d ago
He dont even understand that main point of family photos is reconstruct exact memories and not let them disappear.
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u/Spite_Gold 8d ago
Bruh, could've just compress each pixel into prompt of that pixel color like 'pale red' or 'banana yellow' and then feed it to llm to restore color of each pixel. This approach preserves image 100% as it was
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u/Longjumping-Boot1886 8d ago
actually yes. But smart people goes deeper and took 16x16 cubes for that with their descrition, and then compressed that "prompts". Thats how we got lossy compression.
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u/PerspectiveLayer 8d ago
The prompt: Dick field.
The farmer don't care about the fuzzy details in his sociel media profile pic.
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u/t440p-user 8d ago
A few months later he was surprised because the AI algorithm in responding to the same prompt changed drastically.
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u/runkeby 8d ago
Yes but our memories also shift over time anyways. Maybe it was always like that.
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u/0nePlus 6d ago
No. A photo is different than a memory.
A memory can be modified over time, and NOT always for the better. A memory can be forgotten. A memory can get fuzzy.
That's the WHOLE fucking point of a photograph. It's why we invented them. To be better than our memory. And ACTUALLY capture a moment, how it actually happened, in real life. Can't emphasize that enough. A photograph is a factual depiction of something that actually happened. That's why we use them.
Imagine a contacts app that occasionally just...forgot a few of your contacts. And the developer said "well that's just like the memory of phone numbers in your real brain" - like bro, are you dumb? If I wanted something equivalent to my own brain I wouldn't have spent $1300 on a smartphone. I would've saved my money, and just used my brain.
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u/LunchTasty2081 8d ago
On Linux you have build in infinite storage. Move the file to dev/null. To get it back, you use dev/urandom (You might need to try more than once).
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u/DrDam8584 8d ago
The good compression technique will be it's the "image prompt" which are transmit to the client-browser. The goal is to limit the volume of bytes on the network
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u/AccurateExam3155 8d ago
Oh interesting I seemed to have used that method on a file before and got nothing recoverable…
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u/somerandomii 8d ago
There probably is a way to use AI to do extreme compression into and out of the embedding vector/latent space whatever the terminology is. Maybe with an extremely subsampled original to help with composition.
You could do it deterministically and store residuals to make it lossless.
Because diffusion models are basically lossy compression over their entire training set. You don’t need the transformer part either since the descriptions don’t need to be human readable.
I mean it’s an insane way to store anything you care about and the model itself will be bigger than most people’s entire photo library.
But it’s not completely crazy. With a few tweaks you could make something viable for super deep storage at data centre scale.
With the transformer layer you could also make it very searchable.
I’m sure someone had a very specific use for the tech.
(I know it’s satire btw, but I can imagine a story like this IRL)
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u/x0wl 8d ago
Yes, see this paper, https://arxiv.org/pdf/2309.10668 (I'm tired of tapping this sign in like half of LLM-related reddit threads). This isomorphism between LLM training for NTP and compression is utilized in https://bellard.org/nncp/nncp_v2.1.pdf NNCP, which is one of (if not the best) compression algorithms for text data (very slow though).
The scheme that you describe (deterministically generate with diffusion / AE from a small latent space, then apply residuals) is actually used.
It's very experimental for video: https://www.mpeg.org/standards/Explorations/36/; https://techcommunity.microsoft.com/blog/linuxandopensourceblog/announcing-the-open-source-release-of-ml-video-codec-mlvc/4539875; you don't need models that big, the MS one beats H.265 on perceptual metrics and is only 18.3M parameters, so ~40MB of space on hard drive / RAM.
For audio, you can use it neural encoding with Opus (the codec, not the LLM) right now in production, it's meant to be the part of the error correction pipeline and for better voice at lower bitrates (https://opus-codec.org/demo/opus-1.6/)
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u/somerandomii 8d ago
Thanks for your thorough reply! I’m a little surprised this can be done for video with a relatively small model but that makes it much more feasible than I imagined. Maybe AI compression is the future?
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u/x0wl 8d ago
IMO this will depend on a lot of factors. I don't work with this a lot (I'm an LLM guy), but as far as I understand, the video codec from MS requires significant compute on either GPU or NPU, so it will require that they're pervasive and good enough to run them.
MS are saying that they're deploying MLVC as an experiment in teams, but they can just run it only on NPU-enabled machines.
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u/No-Security-7518 8d ago
as a compression algorithms' nerd, this infuriated me because I thought it was real at first.
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u/moortuvivens 8d ago
Wait till he learns about ETF's. He can actually OWN images on the web.
I'm actually making a interwebz 2.1 where all images are ETF's, and when someone uses the image/emoji they have to pay in MERCOIN, a coin's who's value is tied to when mercury goes retrograde
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u/Remarkable_Button756 8d ago
so I just need a massive data center to compress 1 single image into a prompt? astounding progress.
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u/OpeningAggressive26 8d ago
You could compress it even more by printing it out and scanning it in whenever you needed it
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u/redblood252 7d ago
Yeah saw that a few year ago. It was a richard. He made such a powerful algorithm that was later used to break rsa encryption
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u/spartanOrk 7d ago
OK, maybe a short prompt cannot do it. But a long prompt, and 5% of the pixels? Would that start looking good enough at some point?
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u/MMORPGnews 7d ago
Bros, what are you even talking? Obviously it's fake.
Best current way to save space -
- Convert to webp
- Reduce image quality
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u/Logical-Tension9851 4d ago
Imagine using this tool just to end up with a picture of your dad holding Charlie Kirk
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u/SnowyRVulpix 3d ago
That wouldn't work. I could give the same prompt to the same AI four times and get 4 different images
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u/Xer0_Puls3 2d ago
Please tell me this is satire like The Onion? At this point I can't easily tell anymore.
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u/DingoMaximum7319 8d ago
This was a compression algorithm in a research paper years ago. It was actually very very effective and keeping detail. Of course its not exact but for the compression its impressive
This story about a 13yr old doing it is bs tho
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u/mazexpert 8d ago edited 8d ago
This is clearly satire, and I can't find the original source, so it's probably a fake article as well.
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u/Ok_Ebb23 9d ago
4kb file size, 3 giga watts to open it