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Current research is producing results that can improve these systems, which means that research is worth a lot of money.

This is exactly why I said you should look into their history. Search Amazon for "expert systems" and observe how many books there are about the subject.

They were used by large corporations, hospitals, universities and governments. There were countless startups based around the concept.

For example, automakers are shipping all sorts of fancy driver assistance systems, and a lot of that is driven by fancy image recognition and deep learning systems.

I..."Seems to me that there's a big difference now, in that even limited as it is, current AI advances are finding many important practical uses.

Certainly there's a mismatch for the general public, but they don't matter.

Take your example of expert systems: as far as I know, they never really took off.

Please refer to AGI, if you are talking of the hypothetical strong AI.

The current textbook definition is alright.(And yeah, the hype around AI is palpable and annoying.

Current research is producing results that can improve these systems, which means that research is worth a lot of money. It's not Microsoft's fault that the public thinks of Terminator robots when hearing "AI", nor that science-fiction stories have been written a 100 years ago.

I don't see how this really adds to or is relevant to my comment, I was simply restating and adding to hitekker's point that AI is improperly named. The general public does not set budgets for AI research.

Anyone can slap together a Cash Chat script that, upon each mention of genitalia, responds how turned on it is/they are. I'm always interested when I hear "the more you interact, the smarter it becomes." That isn't the case here. AT&T just sent me a letter saying they're giving me an extra 5GB/month bonus data as long as I keep my plan, which I assume happened because their data indicated I was a risk for downgrading or switching carriers.