This is another "use a black wallpaper to hide the notch" situation. Kinda funny, but ultimately meaningless.
realharo
This is related another issue too, does lemmy do anything to deal with https://en.wikipedia.org/wiki/IDN_homograph_attack?
Because it's a good example of why the feature would be useful. Otherwise half the people would have no idea what OP is talking about.
Well he's not asking you to change it, he wants his client to translate it locally for him only.
This guy has a pretty good mini-series about Quibi's failure https://youtu.be/kVJGTaE7Eio
Basically they are Hollywood people who were all like: all the other Hollywood people we know, who we talked about it with, loved it (the producers, who would make content for it).
But they never really checked whether the consumers - the people who would be actually paying for the service - even liked it enough to pay for it.
That seems like a silly argument to me. A bit like claiming a piracy site is not responsible for hosting an unlicensed movie because you have to search for the movie to find it there.
(Or to be more precise, where you would have to upload a few seconds of the movie's trailer to get the whole movie.)
If the point is to prove that the model contains an encoded version of the original article, and you make the model spit out the entire thing by just giving it the first paragraph or two, I don't see anything wrong with such a proof.
Your previous comment was suggesting that the entire article (or most of it) was included in the prompt/context, and that the part generated purely by the model was somehow generic enough that it could have feasibly been created without having an encoded/compressed/whatever version of the entire article somewhere.
Which does not appear to be the case.
I don't see the US restricting AI development. No matter what is morally right or wrong, this is strategically important, and they won't kneecap themselves in the global competition.
Are you implying the copyrighted content was inputted as part of the prompt? Can you link to any source/evidence for that?
Such things are a popular malware vector too.
It is a point against those "it's just like humans learning" arguments.