have we tried feeding them actual human beings yet ?
Every single one of us, as kids, learned the concept of "garbage in, garbage out"; most likely in terms of diet and food intake.
And yet every AI cultist makes the shocked pikachu face when they figure out that trying to improve your LLM by feeding it on data generated by literally the inferior LLM you're trying to improve, is an exercise in diminishing returns and generational degradation in quality.
Why has the world gotten both "more intelligent" and yet fundamentally more stupid at the same time? Serious question.
Because the people with power funding this shit have pretty much zero overlap with the people making this tech. The investors saw a talking robot that aced school exams, could make images and videos and just assumed it meant we have artificial humans in the near future and like always, ruined another field by flooding it with money and corruption. These people only know the word "opportunity", but don't have the resources or willpower to research that "opportunity".
Remember Trump every time he's weighed in on something, like suggesting injecting people with bleach, or putting powerful UV lights inside people, or fighting Covid with a "solid flu vaccine" or preventing wildfires by sweeping the forests, or suggesting using nuclear weapons to disrupt hurricane formation, or asking about sharks and electric boat batteries? Remember these? These are the types of people who are in charge of businesses, they only care about money, they are not particularly smart, they have massive gaps in knowledge and experience but believe that they are profoundly brilliant and insightful because they've gotten lucky and either are good at a few things or just had an insane amount of help from generational wealth. They have never had anyone, or very few people genuinely able to tell them no and if people don't take what they say seriously they get fired and replaced with people who will.
Two outcasts among their peers, Gary Wallace and Wyatt Donnelly spent a good deal of their youth as pioneers and early adopters of AI.
oh no are we gonna have to appreciate the art of human beings? ew. what if they want compensation‽
Oh no. Anyways...
If mainstream blogs are writing about it, what would make someone think that AI companies haven't thoroughly dissected the problem and are already working on filtering out AI fingerprints from the training data set? If they can make a sophisticated LLM, chances are they can find methods to XOR out generated content.
What would make me think that they haven't "thoroughly dissected" it yet is that I'm a skeptic, and since I'm a skeptic I don't immediately and without evidence believe that every industry is capable of identifying, dissecting, and solving every problem with its products.
Ironically given their skillset, training an ML model on known and properly tagged AI generated and non-AI-generated stuff might actually work.
Oh no
Anyway
Fake news, just like that one time Nightshade "killed" stable diffusion (literally had no effect) Flux came out not long ago and it's better than ever
At this point the synthetic data is good enough to intentionally be used for training LLMs.
Yeah, just filter out the bad generated images and feed the good ones again, until the model learns how to produce only good ones.
It is their own fault for poisoning the internet with their slop.
In case anyone doesn't get what's happening, imagine feeding an animal nothing but its own shit.
Photocopy of a photocopy is my go-to metaphor for model collapse.
I use the "Sistermother and me are gonna have a baby!" example personally, but I am a awful human so
Not shit, but isn't that what brought about mad cow disease? Farmers were feeding cattle brain matter that had infected prions. Idk if it was cows eating cow brains or other animals though.
Let's go, already!
How you can help: If you run a website and can filter traffic by user agent, get a list of the known AI scrapers agent strings and selectively redirect their requests to pre-generated AI slop. Regular visitors will see the content and the LLM scraper bots will scrape their own slop and, hopefully, train on it.
This would ideally become standardized among web servers with an option to easily block various automated aggregators.
Regardless, all of us combined are a grain of rice compared to the real meat and potatoes AI trains on - social media, public image storage, copyrighted media, etc. All those sites with extensive privacy policies who are signing contracts to permit their content for training.
Without laws (and I'm not sure I support anything in this regard yet), I do not see AI progress slowing. Clearly inbreeding AI models has a similar effect as in nature. Fortunately there is enough original digital content out there that this does not need to happen.
is it not relatively trivial to pre-vet content before they train it? at least with aigen text it should be.
The problem is these AI companies currently exist on the business model of not paying for information, and that generally includes not wanting to pay content curators.
Google is probably the only one in a position to potentially outsource by making everyone solve a "does this hand look normal to you" CAPTCHA
They can try and train AI to detect AI, but that's also difficult.
More like degenerative AIs
Kind of like how true thoughts and opinions on complex topics are boiled down to digestible concepts for others to understand who then perpetuate those concepts without understanding them and the meaning degrades and we dont think anymore, just repeat stuff in social media comments.
Side note... this article sucks and seems like it was ai generated. Repetitive and no author credit? Just says it was originally posted elsewhere.
Generative AI isnt in danger of being killed as this clickbait titled suggests... just hindered.
Model collapse is just a euphemism for “we ran out of stuff to steal”
It's more ''we are so focused on stealing and eating content, we're accidently eating the content we or other AI made, which is basically like incest for AI, and they're all inbred to the point they don't even know people have more than two thumb shaped fingers anymore."
Old news? Seems to be a subject of several papers for some time now. Synthetic data has been used successfully already for very specific domains.
Sooner or later it is supposed to happen, but I don't think we are quite there....Yet.
The solution for this is usually counter training. Granted my experience is on the opposite end training ai vision systems to id real objects.
So you train up your detector ai on hand tagged images. When it gets good you use it to train a generator ai until the generator is good at fooling the detector.
Then you train the detector on new tagged real data and the new ai generated data. Once it's good at detection again you train the generator ai on the new detector.
Repeate several times and you usually get a solid detector and a good generator as a side effect.
The thing is you need new real human tagged data for each new generation. None of the companies want to generate new human tagged data sets as it's expensive.
"Model collapse" is just a fancy way of saying "our stupid ideas are bad and nobody wants them."
So they made garbage AI content, without any filtering for errors, and they fed that garbage to the new model, that turned out to produce more garbage. Incredible discovery!
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