Inspired by a recent talk from Richard Stallman.
From Slashdot:
Speaking about AI, Stallman warned that “nowadays, people often use the term artificial intelligence for things that aren’t intelligent at all…” He makes a point of calling large language models “generators” because “They generate text and they don’t understand really what that text means.” (And they also make mistakes “without batting a virtual eyelash. So you can’t trust anything that they generate.”) Stallman says “Every time you call them AI, you are endorsing the claim that they are intelligent and they’re not. So let’s let’s refuse to do that.”
Sometimes I think that even though we are in a “FuckAI” community, we’re still helping the “AI” companies by tacitly agreeing that their LLMs and image generators are in fact “AI” when they’re not. It’s similar to how the people saying “AI will destroy humanity” give an outsized aura to LLMs that they don’t deserve.
Personally I like the term “generators” and will make an effort to use it, but I’m curious to hear everyone else’s thoughts.
The term “AI” has been used for decades to refer to a broad spectrum of things, often times including algorithms that had nothing to do with machine learning or inference.
Technically, what most of us have a problem with isn’t “AI” as a whole, but just LLMs and how companies are trying to replace people with them. I agree that people should be specific, as there’s a lot of practical application for machine learning and AI that has nothing to do with LLMs.
But you’re not going to get anywhere by trying to change the words people use for these things. We saw a similar thing happen with “smart” home automation devices, and before that it was people complaining about “smartphones” not being actually “smart”. But both of those terms are still in common use.
I don’t think you’ll convince anyone by trying to police the terminology for technical accuracy. The focus should be on the specific problems and harmful effects of how the technology is being used
