The word "AI" has always had a vague meaning. Ever since the 50's when people called simple logic systems AI. Everything from chatbots to video game bots have b

The word "AI" has always had a vague meaning. Ever since the 50's when people called simple logic systems AI. Everything from chatbots to video game bots have been called AI. The problem is that "AI is whatever computers can't do yet". Hard looking problems in computer science all get called "AI". So once they are solved, they continue using the name. But solved problems obviously can't be "intelligent". The word you are looking for is "AGI". But there is no such thing as AGI yet, so no real projects or research can honestly use the word. Anyway more accurate terminology would be "machine learning". That's what word the researchers themselves use. Only media calls it "AI" so much. In this case it would be machine learning models that set the parameters for other machine learning models. There's nothing in the article about "AIs building AIs", although it does automate some of the work of machine learning practitioners. I've always said that machine learning is one of the fields in a unique position to automate itself away.