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.
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.
/dev/null is also webscale
infinite compression ratio :o
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.