We’d be better off not trying to censor it
this claim keeps getting brought up and every time it doesn’t seem to mean a damn thing, particularly since no, censoring the output of an LLM doesn’t do anything to its ability to predict text. censoring its training set would, but seeing as the topic of this thread is a fact an LLM fabricated by being just a dumb text predictor — there’s no real way to censor the training set to prevent this, LLMs are just shitty.
I summarize all of that by saying AI is a useful tool
trying to find a use case for this horseshit has broken your brain into thinking these worthless tools would have value if only they weren’t “being censored” or whatever cope you gleaned from the twitter e/accs
We’d be better off not trying to censor it
Those mfs would refuse to change their code when it fails a test because it restricts their freedom of expression and censors their outputs to conform to the mainstream notion of “correct”
type systems are censorship. proof assistants? how dare you imply I would need to prove anything
…fuck, I’m flashing back to the one time a Verilog developer told me formal verification wasn’t real because mathematicians don’t understand engineering
There are people making use of these tools and finding them helpful today. I don’t have to make anything up. AI doesn’t have to be everything people think it should be to be useful.
People are irrationally hateful of AI. Be hateful of the people trying to do stupid things with it. I’ve got several use cases for AI but not one of them relies on it being correct about any facts.
uh huh
it’s fucking amazing, all these words and you’ve managed to post exactly zero facts. time for you to fuck off
