The problem with these names are that they are not easily distinguishable by the general public or others who are not already familiar with the concepts. Its like the poor coding pattern where you have two variables in your code with almost the same names - 'wfieldt' and 'wtfield' will get confused by the next person who has to maintain your code. It's the same problem with popularization of concepts.
The same thing happens in Physics, where people confuse energy with power, and think that Special Relativity must be much harder than General Relativity (it's special, right?). The words used to name things make them understandable, or not.
What's worse is that this confusion is intentional, created on the part of people who wanted to hype their (actually valuable, but perhaps overlooked) work, by confusing their 'boring' or 'limited' AI work with AGI work in the minds of those supporting or funding that work.
That's why people say things like "true AI".
There really needs to be a name for the non-AGI kind of AI, which refers specifically to the limited-domain type of problem solving which "AI" has been so successful. "AI" is a bad name for this.
Personally, I am partial to the metaphor of "canned thought". It shows that a human had to do the work beforehand of setting up the structure of the algorithm that is later doing the information processing, and that the process is limited by the thought that were previously put into it. But Canned Thought is also a pretty bad name for the field. It's not descriptive and it's not catchy. Anyone have any suggestions for a better name for non-AGI AI?