When A.I.’s Output Is a Threat to A.I. Itself | As A.I.-generated data becomes harder to detect, it’s increasingly likely to be ingested by future A.I., leading to worse results.
When A.I.’s Output Is a Threat to A.I. Itself | As A.I.-generated data becomes harder to detect, it’s increasingly likely to be ingested by future A.I., leading to worse results.
As A.I.-generated data becomes harder to detect, it’s increasingly likely to be ingested by future A.I., leading to worse results.
My takeaway from this is:
- Get a bunch of AI-generated slop and put it in a bunch of individual
.htmfiles on my webserver. - When my bot user agent filter is invoked in Nginx, instead of returning
444and closing the connection, return a random.htmof AI-generated slop (instead of serving the real content) - Laugh as the LLMs eat their own shit
- ???
- Profit
100This is a great idea, I might create a Laravel package to automatically do this.
7QUICK
Someone create a github project that does this
4
- Get a bunch of AI-generated slop and put it in a bunch of individual
Inbreeding
73What are you doing step-AI?
53Are you serious? Right in front of my local SLM?
2
Photocopy of a photocopy.
2
So now LLM makers actually have to sanitize their datasets? The horror....
51I don't think that's tractable.
18Oh no, it's very difficult, especially on the scale of LLMs.
That said, we others (those of us who have any amount of respect towards ourselves, our craft, and our fellow human) have been sourcing our data carefully since way before NNs, such as asking the relevant authority for it (ex. asking the post house for images of handwritten destinations).
Is this slow and cumbersome? Oh yes. But it delays the need for over-restrictive laws, just like with RC crafts before drones. And by extension, it allows those who could not source the material they needed through conventional means, or those small new startups with no idea what they were doing, to skim the gray border and still get a small and hopefully usable dataset.
And now, someone had the grand idea to not only scour and scavenge the whole internet with no abandon, but also boast about it. So now everyone gets punished.
At last: don't get me wrong, laws are good (duh), but less restrictive or incomplete laws can be nice as long as everyone respects each other. I'm excited to see what the future brings in this regard, but I hate the idea that those who facilitated this change likely are the only ones to go free.
17
that first L stands for large. sanitizing something of this size is not hard, it's functionally impossible.
5You don't have to sanitize the weights, you have to sanitize the data you use to get the weights. Two very different things, and while I agree that sanitizing a LLM after training is close to impossible, sanitizing the data you give it is much, much easier.
4
They can't.
They went public too fast chasing quick profits and now the well is too poisoned to train new models with up to date information.
1
Imo this is not a bad thing.
All the big LLM players are staunchly against regulation; this is one of the outcomes of that. So, by all means, please continue building an ouroboros of nonsense. It’ll only make the regulations that eventually get applied to ML stricter and more incisive.
38They call this scenario the Habsburg Singularity
24This reminds me of the low-background steel problem: https://en.m.wikipedia.org/wiki/Low-background_steel
22idk how to get a link to other communities but (Lemmy) r/wikipedia would like this
5You link to communities like this: !wikipedia@lemmy.world
4
Interesting read, thanks for sharing.
3
How many times is this same article going to be written? Model collapse from synthetic data is not a concern at any scale when human data is in the mix. We have entire series of models now trained with mostly synthetic data: https://huggingface.co/docs/transformers/main/model_doc/phi3. When using entirely unassisted outputs error accumulates with each generation but this isn't a concern in any real scenarios.
22As the number of articles about this exact subject increases, so does the likelihood of AI only being able to write about this very subject.
34
Hahahahaha
AI doing to job of poisoning itself
21Good. Let the monster eat itself.
21Anyone old enough to have played with a photocopier as a kid could have told you this was going to happen.
19Blinks slowly
But, but, I have a photocopier now....
4So then you know what happens when you make a copy of a copy of a copy and so on. Same thing with LLMs.
5
AI centipede. Fucking fantastic.
18The best analogy I can think of:
Imagine you speak English, and your dropped off in the middle of the Siberian forest. No internet, old days. Nobody around you knows English. Nobody you can talk to knows English. English for all intents purposes only exists in your head.
How long do you think you could still speak English correctly? 10 years? 20 years? 30 years? Will your children be able to speak English? What about your grandchildren? At what point will your island of English diverge sufficiently from your home English that they're unintelligible to each other.
I think this is the training problem in a nutshell.
16So kinda like the human centipede, but with LLMs? The LLMillipede? The AI Centipede? The Enshittipede?
12Except it just goes in a circle.
))<>((
3
All according to keikaku.
[TL note: keikaku means plan]
10No don't listen to them!
Keikaku means cake! (Muffin to be precise, because we got the muffin button!)
1
It’s the AI analogue of confirmation bias.
9Looks like i need some glasses
5I always thought this is why the Facebooks and Googles of the world are hoovering up the data now
4we already have open source AI. This will only effect people trying to make it better than what stable diffusion can do, make a new type of ai entirely (like music, but that's not a very ai saturated market yet), or update existing ai with new information like skibidi toilet
2Provides a wonderful avenue for poisoning the well of big techs notorious asset scrapers.
2
Maybe this will become a major driver for the improvement of AI watermarking and detection techniques. If AI companies want to continue sucking up the whole internet to train their models on, they'll have to be able to filter out the AI-generated content.
1"filter out" is an arms race, and watermarking has very real limitations when it comes to textual content.
1
Well then, here's an idea for all those starving artists: start a business that makes AND sells human-made art/data to AI companies. Video yourself drawing the rare Pepe or Wojak from scratch as proof.
1If AI feedback starts going the other way around we should be REALLY scared. Imagine it just become sentient and superintelligent and read all that we are saying about it.
0This is completely unrelated.
Besides, how does AI suddenly become sentient?
5It was a joke.
3
LLMs are as close to real AI as Eliza was (i.e., nowhere even remotely close).
2