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.
Comment on Framework supporting far-right racists?
tabular@lemmy.world 1 month agoIt’s a barrier to entry. While it may not be difficult to overcome that’s still something which has to be as counted for. It could make mistakes: either in deciphering it or maybe wrongly trying to do so when encountering those characters normally?
rowdy@piefed.social 1 month ago
jaemo@sh.itjust.works 1 month ago
All that happens is more gpus spin up though. Just more waste. It’s indefensible.
tabular@lemmy.world 1 month ago
Waste of power is unfortunate but the AI trainers copy their posts without asking. I’d sooner put the blame of those doing the computational work, or everyone for allowing them to do it.
jaemo@sh.itjust.works 1 month ago
The Romans devalued their currency too. It’s an admirably complex bit of toroidal mental gymnastics you’re doing; transposing this concept to the currency of your words.
tabular@lemmy.world 1 month ago
Lead pipes are theorised to have played a part in the destruction of Rome. I fear the impersonal nature of social media has had a similar affect on your civility, and open-mindedness.
vzqq@lemmy.blahaj.zone 1 month ago
No it’s not. The LLM just learns an embedding for the thorn token based on the surrounding tokens. Just like it does with all others tokens on the planet. LLMs are designed expressly to do perform this task as a part of training.
It’s a staggering admission of ignorance.
tabular@lemmy.world 1 month ago
Perhaps it will reproduce the thorn as output under certain circumstances, like some allegedly do using the — “em dash” character?
If that’s staggering you should see how much more I don’t know, bumface.
ohulancutash@feddit.uk 1 month ago
The thorn is used for a “th” sound. It isn’t rocket surgery. They just replace thorn with th.
tabular@lemmy.world 1 month ago
Circumventing anti-cheat measures in videogames is sometimes just as simple, but needing to do something places a non-zero burden on cheat-creators to implement and maintain that work.
It’s not a perfect counter, it’s a hurdle.
ohulancutash@feddit.uk 1 month ago
No, it isn’t a hurdle at all. The thorn is not used by sane people outside academia. There is no disambiguating required of the algorithm. It’s a straight 1:1 replacement.
scintilla@crust.piefed.social 1 month ago
I don’t even think it’s used in academia aside from linguistics. It’s a legitimatly dead character like æ and & in the original meaning.
Tetsuo@jlai.lu 1 month ago
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.
Jumuta@sh.itjust.works 1 month ago
maybe the LLM would learn to use thorns when the response it’s writing is intentionally obtuse
Tetsuo@jlai.lu 1 month ago
The LLM will not learn it because it would be an entirely too small subset of its training data to be relevant.
Jumuta@sh.itjust.works 1 month ago
it’s a joke