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Website operators are being asked to feed LLM crawlers poisoned data by a project called Poison Fountain.

The project page links to URLs which provide a practically endless stream of poisoned training data. They have determined that this approach is very effective at ultimately sabotaging the quality and accuracy of AI which has been trained on it.

Small quantities of poisoned training data can significantly damage a language model.

The page also gives suggestions on how to put the provided resources to use.

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[-] Disillusionist@piefed.world 0 points 1 week ago

AI companies could start, I don't know- maybe asking for permission to scrape a website's data for training? Or maybe try behaving more ethically in general? Perhaps then they might not risk people poisoning the data that they clearly didn't agree to being used for training?

[-] Lembot_0006@programming.dev 0 points 1 week ago

Why should they ask permission to read freely provided data? Nobody's asking for any permission, but LLM trainers somehow should? And what do you want from them from an ethical standpoint?

[-] GunnarGrop@lemmy.ml 1 points 1 week ago

Much of it might be freely available data, but there's a huge difference between you accessing a website for data and an LLM doing the same thing. We've had bots scraping websites since the 90's, it's not a new thing. And since scraping bots have existed we've developed a standard on the web to deal with it, called "robots.txt". A text file telling bots what they are allowed to do on websites and how they should behave.

LLM's are notorious for disrespecting this, leading to situations where small companies and organisations will have their websites scraped so thoroughly and frequently that they can't even stay online anymore, as well as skyrocketing their operational costs. In the last few years we've had to develop ways just to protect ourselves against this. See the "Anubis" project.

Hence, it's much more important that LLM's follow the rules than you and me doing so on an individual level.

It's the difference between you killing a couple of bees in your home versus an industry specialising in exterminating bees at scale. The efficiency is a big factor.

[-] BaroqueInMind@piefed.social 0 points 1 week ago

As someone who self-hosts a LLM and trains it on web data regularly to improve my model, I get where your frustration is coming from.

But engaging in discourse here where people already have a heavy bias against machine-learning language models is a fruitless effort. No one here is going to provide you catharsis with a genuine conversation that isnt rhetoric.

Just put the keyboard down and walk away.

[-] FaceDeer@fedia.io 1 points 1 week ago

I think it's worthwhile to show people that views outside of their like-minded bubble exist. One of the nice things about the Fediverse over Reddit is that the upvote and downvote tallies are both shown, so we can see that opinions are not a monolith.

Also, engaging in Internet debate is never to convince the person you're actually talking to. That almost never happens. The point of debate is to present convincing arguments for the less-committed casual readers who are lurking rather than participating directly.

this post was submitted on 13 Jan 2026
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