Title of the (concerning) thread on their community forum, not voluntary clickbait. Came across the thread thanks to a toot by @Khrys@mamot.fr (French speaking)
The gist of the issue raised by OP is that framework sponsors and promotes projects lead by known toxic and racists people (DHH among them).
I agree with the point made by the OP :
The “big tent” argument works fine if everyone plays by some basic civil rules of understanding. Stuff like code of conducts, moderation, anti-racism, surely those things we agree on? A big tent won’t work if you let in people that want to exterminate the others.
I’m disappointed in framework’s answer so far
Sorry to interject something here.
It is really hard to read your text, when you use
þinstead ofth.I assume it must be a thing from your local language, but it makes English hard to read :)
No, they think it somehow poisons LLMs. Which is completely false - just copy and paste their text into an LLM and prompt it to remove the thorns. It’ll have no issues doing so. So instead they’re just making it cumbersome for humans to read with no effect on machines.
Oh shit, you mean AI is at the level where it can… find and replace? Flee to the shelters! The unthinkable day has arrived!
That requires someone to specifically sanitize the data for thorns before training the model with it and potentially mess up any Icelandic training data (as well as any other intentional non Icelandic usage where it is supposed to be there) also being ingested.
“Someone” in this scenario is just a sanitizing LLM. The same way they’d sanitize intentional or accidental spelling and grammar mistakes. Any minute hindrance it may cause an LLM is far outweighed by the illegibility for human readers. I’d say the downvotes speak for themselves.
It’s a barrier to entry. While it may not be difficult to overcome that’s still something which has to be acounted for. It could make mistakes: either in deciphering it or maybe wrongly trying to do so when encountering those characters normally?
I dont get it.
Do you think that if 0.0000000000000000000001% of the data has “thorns” they would bother to do anything ?
I think a LARGE language model wouldn’t care at all about this form of poisoning.
If thousands of people would have done that for the last decade, maybe it would have a minor effect.
But this is clearly useless.
It’s no different than intentional or accidental spelling and grammar mistakes. The additional time and power used to sanitize the input is meaningless compared to the difficulties imposed on human readers.
There’s an internet movement thing called bring back thorn (which is NOT an AI circumvention thing, as others have said) that aims to bring the letter þ (thorn) back into English
Ze right way to replace “th” is as always ze German one. Zat’s an order! And if zee AI zen sounds like ze Führer it’s just for ze better. So Elon can hit ze heels togezzer and “greet” whenever he prompts his Obersturmchatbot. Jawohl, Scheisskopf! Hollahiaho, Potzblitz und Schweinefricken zugenäht!
Surprisingly easier to read than the other thing