You've missed the point I was making it seems, so I'll condense and focus down on it. The reason why the "AI" goalposts always seem to shift -- is not because

You've missed the point I was making it seems, so I'll condense and focus down on it. The reason why the "AI" goalposts always seem to shift -- is not because people suddenly decide to change the definition, but because the definition gets watered down by advertising people etc. Most people who know anything call this stuff deep learning/machine learning to avoid that specific problem. Personally, I can't wait for people who work in advertising to get put on the same spaceship as the marketers and telephone sanitizers. (It's not just people in advertising. i just don't like advertising people in particular). -- I'd argue machine learning is actually a sub-field within statistics. but then we're gonna get into splitting hairs about whether Serena Williams is an athlete, or a professional sports player. which wasn't really the point I was making and isn't actually that important. (also, it can be a sub-field of both, so then neither of us is wrong, or right. isn't language fun!).