I think its the "just" statistical models part. If you pull up the TOC for an AI textbook, you'll find lots of things that aren't "intelligent". Machine learn

I think its the "just" statistical models part. If you pull up the TOC for an AI textbook, you'll find lots of things that aren't "intelligent". Machine learning is just a subset of it. I recall a professor in the AI department back in the 90s working on describing the shape of an object from a photograph (image to text) based on a number of tools (edge detection was one paper I recall). Also in AI is writing a deductive first order logic solver is covered in there as are min-max trees and constraint satisfaction problems. http://aima.cs.berkeley.edu http://aima.cs.berkeley.edu https://www.cs.ubc.ca/~poole/ci/contents.html https://www.cs.ubc.ca/~poole/ci/contents.html (note chapter 4) https://www.wiley.com/en-us/Mathematical+Methods+in+Artificial+Intelligence-p-9780818672002 https://www.wiley.com/en-us/Mathematical+Methods+in+Artifici... People are trying to put a box around "AI" to mean a particular thing - maybe they want AI to mean "artificial general intelligence" rather than all the things that are covered in the intro to AI class in college. I ultimately believe that trying to use a term that has been very broad for decades to apply to only a small subset of the domain is going to end up being a fruitless Scotsman tilting at windmills. ... And you know what, I think it does a pretty good job at being intelligent. https://chat.openai.com/share/01d760b3-4171-4e28-a23b-0b6565a9646c https://chat.openai.com/share/01d760b3-4171-4e28-a23b-0b6565...