Trust in artificial intelligence (AI) companies has dipped to 35 percent over a five-year period in the U.S., according to new data. The data, released Tuesday by public relations firm Edelman, fou…
What you mean to say is that people have been using AI wrong for decades.
The term was first used in 1956 at the Dartmouth Summer Research Project on Artificial Intelligence. It’s been in the names of numerous scientific journals, university departments, software projects, and so forth. But I guess they were all wrong this whole time.
That’s not how language works. It’s a consensus system, if someone says something and everyone else understands what they said then that was the right word.
Artificial Intelligence is by definition the same as AGI.
Why are they two different terms, then?
Same goes for llms, to call llms AI would mean that Google, duck duck go, etc are AI as well.
They are AI as well. Lots of things are AI. It’s a broad field of study.
What is the point of this semantic quibbling? If your preferred term for whatever it is the article is talking about was substituted for every instance of “AI” in it, would that actually change anything?
The term was first used in 1956 at the Dartmouth Summer Research Project on Artificial Intelligence. It’s been in the names of numerous scientific journals, university departments, software projects, and so forth. But I guess they were all wrong this whole time.
That’s not how language works. It’s a consensus system, if someone says something and everyone else understands what they said then that was the right word.
Why are they two different terms, then?
They are AI as well. Lots of things are AI. It’s a broad field of study.
What is the point of this semantic quibbling? If your preferred term for whatever it is the article is talking about was substituted for every instance of “AI” in it, would that actually change anything?
It’s a marketing term for corporations. Companies are just using it as a buzz word. The sooner you realize that, the better.
Yes there are people studying and learning how to advance the actual field of scientific AI, but that’s not what’s going on here.