Robert KingettYou all should read this fantastic post by @onepict about how, largely, AI people just can't leave us the fuck alone. But I'm noticing more and more and more that they get super mad when they wanna shove their #AI creation at you and you simply say, no thanks. That's it. No extra bashing, just, no thanks, and they get super offended. https://dotart.blog/cobbles/ai-and-that-guy-at-the-bar #AIHype #LLM
Bogdan Buduroiu@WeirdWriter @onepict there's literally been a witch-hunt by "never AI" types on Mastodon because Cory Doctorow dared to use ollama to spell check his posts. Idk who is the group getting offended.
@budududuroiu @onepict Using an LLM to spell check is all sorts of cringe because there are better applications of machine learning but moreover how do you know they never use an LLM?
@WeirdWriter @onepict you're literally proving my point.
Someone: I find small LMs useful for spell checking
Anti-AI types: Nooo, how could you? You're so cringe, what's wrong with you.
@budududuroiu @onepict It just shows me you don’t understand the technology you’re using, because there’s far more applicable forms of machine learning you could actually be using that would be a better spell checker
@WeirdWriter @onepict like what? Transformers and attention is a step change from what we've had before in terms of spell checkers. If you're using the iOS keyboard, you're using transformer-based spell checking, same with GBoard to a degree.
"Their" vs "there" vs "they're" are all valid spellings, transformers encode the bidirectional context or causal context you need to tell the wheat from the chaff in this case. I think you're out of your depth here, respectfully.
Regardless, you're just proving my point further because you're obsessively offended by someone finding use in a piece of tech and can't let them be.