I didn't say that...
> None of your examples speak to danger.
Why should they have supported an argument I didn't make.
My comment is anti-anti-censorship of LLM. People already self-censor a lot; "reading the room" is huge part of being a functional member of society, and expecting LLMs to embody the "no-filter, inappropriate jerk" personality is what's against the grain - not the opposite.
I'm pragmatic enough to know the reason corporate LLMs "censor" is their inability to read the room, so they default to the lowest common factor and be inoffensive all the time (which has no brand risk), rather than allowing for the possibility the LLM offends $PROTECTED_CLASS, which can damage their brand or be legally perilous. That juice is not worth the squeeze just to make a vocal subset of nerd happy; all the better if those nerds fine-tune/abliterate public models so the corps can wash their hands of any responsibility of the modified versions.
Sounds like you're saying, in this specific passage I'm quoting, "this language is dangerous and must be stopped".
Surveillance AI is already more invasive than any Panopticon that Orwell could imagine. LLMs and diffusion models make memory holes much easier. Even Word2Vec might be enough to help someone make a functional Newspeak conlang — though I wonder, is it better for me to suggest the (hopefully flawed) mechanism I've thought for how to do so in the hope it can be defended against, or would that simply be scooped up by the LLM crawlers and help some future Ingsoc?