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They are Machine Learning, a, so far, unsuccessful attempt at AI.

They aren't AI which is why the phrase "True AI" is so commonly used.

The term you are looking for is AGI, never heard of "true ai". And if machine learning failed, why are we using so much it in everyday life?

ML failed to produce AI, it's not a failure.

AGI is distinct from AI in that one is general and one is not. If you create an AI that can discover new mathematics but it can't write a paper about it, it's not AGI.

We have AI that can and has produced new mathematics. I don't understand what you think AI is. Machine learning enables computers to make decisions about things without explicit programing, and it is done by learning from data. It is a sort of intelligence, if not to the degree that we want (yet).

I agree with your distinction between AI and AGI. Hasn't ML failed to produce AGI, but been wildly successful in producing AI?

What you call AGI now is what I used to call AI and ML was just ML and statistics to me. But now AI can be everything from hidden markov chains to the computer player in a game as long as it makes a decision or prediction in some kind of of process, no matter how dumb. I gave up arguing about it long ago.

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