But “AI” is the umbrella term for all of them. What you said is the equivalent of saying:
we really need to stop calling things “vehicles”. There’s cars, trucks, airplanes, submarines, and space shuttles and they’ve all been called vehicles, but functionally they have almost nothing to do with each other
All of the things you’ve mentioned are correctly referred to as AI, and since most people do not understand the nuances of neural networks vs hard coded algorithms (and anything in-between), AI is an acceptable term for something that demonstrates results that comes about from a computer “thinking” and making shaved intelligent decisions.
Btw, just about every image recognition system out there is a neural network itself or has a neural network in the processing chain.
While this is true, I think of AI in the sci fi sense of a programmed machine intelligence rivaling human problem solving, communication, and opinion forming. Everything else to me is ML.
But like Turing thought, how can we really tell the difference
What you’re referring to in movies is properly known as Artificial General Intelligence (AGI).
AI is correctly applied to systems that process in a “biologically similar” fashion. Basically something a human or “smart” animal could do. Things like object detection, natural language processing, facial recognition, etc, are things you can’t program (there’s more to facial recognition, but I’m simplifying for this discussion) and they need to be trained via a neural network. And that process is remarkably similar to how biological systems learn and work.
Machine learning, on the other hand, are processes that are intelligent but are not intrinsically “human”. A good example is song recommendations. The more often you listen to a genre of music, the more likely you are to enjoy other songs in that genre. So a system can count the number of songs you listen to the most in a specific genre, and then recommend that genre more than others. Fairly straightforward to program and doesn’t require any training, yet it gets better the more you use it.
How is my comment “gatekeeping” by any stretch of the defintion? I had one comment and the one making jest that you replied to. I only asked that there should be a catch all term and provided examples to go with it. How is that gatekeeping…?
It’s more to due with social media tropes. Someone sees a downvoted comment and does the same without even reading.
Edit and more proof it has nothing to do with the stuff you claimed, it’s now upvoted since the initial wave of people have stopped and people who care to read the meat of the comments now have and have established balance.
But “AI” is the umbrella term for all of them. What you said is the equivalent of saying:
All of the things you’ve mentioned are correctly referred to as AI, and since most people do not understand the nuances of neural networks vs hard coded algorithms (and anything in-between), AI is an acceptable term for something that demonstrates results that comes about from a computer “thinking” and making
shavedintelligent decisions.Btw, just about every image recognition system out there is a neural network itself or has a neural network in the processing chain.
Edit: fixed an autocorrect typo
While this is true, I think of AI in the sci fi sense of a programmed machine intelligence rivaling human problem solving, communication, and opinion forming. Everything else to me is ML.
But like Turing thought, how can we really tell the difference
What you’re referring to in movies is properly known as Artificial General Intelligence (AGI).
AI is correctly applied to systems that process in a “biologically similar” fashion. Basically something a human or “smart” animal could do. Things like object detection, natural language processing, facial recognition, etc, are things you can’t program (there’s more to facial recognition, but I’m simplifying for this discussion) and they need to be trained via a neural network. And that process is remarkably similar to how biological systems learn and work.
Machine learning, on the other hand, are processes that are intelligent but are not intrinsically “human”. A good example is song recommendations. The more often you listen to a genre of music, the more likely you are to enjoy other songs in that genre. So a system can count the number of songs you listen to the most in a specific genre, and then recommend that genre more than others. Fairly straightforward to program and doesn’t require any training, yet it gets better the more you use it.
As far as taking scifi terms for real things, at least this one is somewhat close. I’m still pissed about hover boards. And Androids are right out!
I like how you stole my comment and I’m downvoted.
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How is my comment “gatekeeping” by any stretch of the defintion? I had one comment and the one making jest that you replied to. I only asked that there should be a catch all term and provided examples to go with it. How is that gatekeeping…?
It’s more to due with social media tropes. Someone sees a downvoted comment and does the same without even reading.
Edit and more proof it has nothing to do with the stuff you claimed, it’s now upvoted since the initial wave of people have stopped and people who care to read the meat of the comments now have and have established balance.
deleted by creator
I didn’t steal anything. When I posted my comment there were only two other comments in the whole thread.
I know, it’s just funny how two very similar thoughts can be be taking two different ways deepening on who sees it first and interacts with it.