this post was submitted on 11 Feb 2025
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Ya got me, it's not.
I assure you, it very much is. Two decades ago when I was a student specializing in AI, it was the next big "unsolved problem" alongside computer vision. Five years later, it was solved and the world moved on.
But it remains an application of artificial intelligence.
Some people think of AI as a human-like mind running on a computer. That's science fiction. AI in real life takes in information and makes decisions in a much smaller arena. "Does this photo contain a face?" "Does this X-ray contain a tumor?" "Given this game board and list of previous move, what's the winning strategy?" They're intelligent about only one subject.
I started to write more, but this is long enough. Not every AI is an AGI. Not every AI is linguistic. Most of them are mundane and boring, in fact.
This is apples vs pears with 2 languages that make them sound similar.
Ai is a technical domain of computer science. All machine learning is AI here.
But Ai is just short for artificial intelligence and those are 2 normal words with their own meaning and can be used literally. Llms are artificial, they can so some clever things. But is it intelligent? There is lots of subjective room here.
Smart foto filters are fighting a very uphill battle to be considered intelligent.
This is different from AGI which is on par with human intelligence, in practice i don't believe many humans will consider something intelligent until it surpasses themselves but thats besides the point.
I hope that I'm understanding you correctly: You're asserting that I, as a computer scientist, am using the term "artificial intelligence" as technical jargon, while the common public uses it a different way.
I will accede this point. However, it is, in fact, a CS term and that's that appropriate way to use it. The public is wrong and I'm not interested in using the term their way instead of the technical way.
That is exactly what i meant, and can definitely respect your position on it. But i hope you are aware that as AI systems go mainstream you may encounter this communicative disconnect more frequently and as the person who knows the proper usage you are better equipped to bridge the gap with the general public then they are to understand the technical meaning.
Calling it wrong is a bit harsh though, in my experience language is a subjective ever evolving construct. The correct way to use language (in my opinion) is whatever way that gets the point across to any listeners.