Anyone downvoting this has:
- Not looked at the repo
- Not looked at the community
- Has a hate boner for the two letters L and M if combined in a certain way.
- Missed out
this post was submitted on 11 Jul 2026
72 points (91.9% liked)
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The AI disclaimer is brilliant:
Ironically, aside from the obvious use of LLMs for the actuall project, everything was written by hand. I wanted to use this as a learning opportunity about git filters, so everything you see is my fault.
Sneak peak for people too lazy to read the very short readme:
Does it actually work? About just as much as any reasonable person would expect
You are a nicer person than I am! ❤️
Well, I'm not going to downvote, but something in my brain is screaming "lossy compression!" and so you might say I'm at least wary.
/dev/null compresses everything perfectly. The hard part is recovery and is left to the reader.
It is a tremendously stupid idea, which is why I found it funny (also, it's one of those things where name came first and inspired the rest).
But, to take it seriously for a moment (and I'm not trying to defend it, not a fan of LLMs as most of the people here), is it necessarily lossy? I mean, you basically have to include the 5Gb large model for it to work, and you just move the data from the file to hoping the summary can trigger a correct combination of parameters.
I didn't run any larger tests, and I assume that if you managed to keep the API/function names and behavior, the summary would be actually longer than the actual implementation in most cases anyway, so it's probably not even a compression (especially if you include the model).
It's just a food for thought, it's definitely a bad idea to do something like this, to the point where I'm pretty sure you could get millions from investors if you made a startup working on something like this (and that one already exists), but I do honestly wonder if the fact that you kind of have the data in the model would still count as lossy.
That's the joke.
I think Microsoft have been using something like this for years.