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Ultimately the only thing that holds true about AI is Tesler's Theorem: Artificial intelligence is whatever hasn't been done yet Machine Learning is only

Ultimately the only thing that holds true about AI is Tesler's Theorem: Artificial intelligence is whatever hasn't been done yet Machine Learning is only still artificial intelligence because we haven't figured it out. Ultimately ML is just fancy control theory. Once the field is sufficiently explored, it will slowly stop being AI and will start being treated as a subset of control theory instead. I doubt it'll happen any time soon but it'll happen eventually. This is in the same way that algorithms, combinatorics, and graph theory when applied were seen as AI anywhere from 70 years ago to as little as ~25 years ago. Those fields' applications to unsolved computing problems (that humans could do) was what made them AI and once we solved those problems, they (and the techniques used) stopped being AI.

FreakLegion 4y ago
People in the field still think of these things as being part of it. The latest edition of Norvig's Artificial Intelligence: A Modern Approach[1] is two years old and kicks off with search, CSPs, and first-order logic, for example. Over the years AIMA has kept up with a bunch of stuff that historically has in fact been far more effective than machine learning, like automated planning, which is the basis for (among other things) most video game AI. An all-time great write-up and talk in this area is Three States and a Plan: The A.I. of F.E.A.R.[2]. And then there's linear and non-linear programming and the broader world of operations research, which not only have had more of an impact historically than machine learning but, when you get down to it, are also a useful lens for thinking about machine learning for people who use it but don't really understand it. Training a neural network and solving an MINLP problem are very similar things. 1. https://aima.cs.berkeley.edu/contents.html https://aima.cs.berkeley.edu/contents.html 2. https://alumni.media.mit.edu/~jorkin/gdc2006_orkin_jeff_fear.pdf https://alumni.media.mit.edu/~jorkin/gdc2006_orkin_jeff_fear... and https://www.gdcvault.com/play/1013282/Three-States-and-a-Plan https://www.gdcvault.com/play/1013282/Three-States-and-a-Pla...
mozball 4y ago
Indeed. Its surprising how quickly people are getting used to GPT's capabilities and dismissing it even. It wasn't that long ago that people were saying that making casual conversation, making an original joke or novel painting would be among the last things a computer would be able to do. Or that it would never happen.

FreakLegion 4y ago

People in the field still think of these things as being part of it. The latest edition of Norvig's Artificial Intelligence: A Modern Approach[1] is two years old and kicks off with search, CSPs, and first-order logic, for example. Over the years AIMA has kept up with a bunch of stuff that historically has in fact been far more effective than machine learning, like automated planning, which is the basis for (among other things) most video game AI. An all-time great write-up and talk in this area is Three States and a Plan: The A.I. of F.E.A.R.[2]. And then there's linear and non-linear programming and the broader world of operations research, which not only have had more of an impact historically than machine learning but, when you get down to it, are also a useful lens for thinking about machine learning for people who use it but don't really understand it. Training a neural network and solving an MINLP problem are very similar things. 1. https://aima.cs.berkeley.edu/contents.html https://aima.cs.berkeley.edu/contents.html 2. https://alumni.media.mit.edu/~jorkin/gdc2006_orkin_jeff_fear.pdf https://alumni.media.mit.edu/~jorkin/gdc2006_orkin_jeff_fear... and https://www.gdcvault.com/play/1013282/Three-States-and-a-Plan https://www.gdcvault.com/play/1013282/Three-States-and-a-Pla...

mozball 4y ago

Indeed. Its surprising how quickly people are getting used to GPT's capabilities and dismissing it even. It wasn't that long ago that people were saying that making casual conversation, making an original joke or novel painting would be among the last things a computer would be able to do. Or that it would never happen.