Except it is a fairly good artifice of grass.

Good for what? Looking at? It’s not gonna satisfy a goat.

We only care for the look (“the output”), and we don’t expect more of it, or sell it for more than it is. That’s why it’s not a controversial term for astroturf. It wasn’t controversial for AI either until very recently. In 60 years of AI nobody has split hairs over output of intelligence. It’s justified but weirdly misdirected anger.

AI is a perfectly cromulent word for the thing.

Do you question the grass part of artificial grass? It’s obviously not grass.

Imho nothing wrong with AI use by professionals, as long as it’s verified. That obviously wasn’t the case.

All AI is actual AI. It doesn’t need to be real intelligence to be artificial, should be obvious. Are you telling me artificial grass shouldn’t be called that because a goat can’t eat it?

Inference and training are separate in every ML architecture, what are you on about? And yes LLMs are ML, by definition, no need to argue.

Nah, this story has been developing since before the LLM boom. “AI” has never been rare in science headlines like this.

Our company decided to build our own ai translation system because the human translators we’ve been hiring started using AI… Quality dropped immensely, trust is lost. CEOs don’t feel like shopping around. So sad.

I was lucky I was forced to upgrade to 32gb right before the bubble, because my new job uses Jira with too many plugins.