I generally assume intent that’s more shallow if it’s just as explanatory. It’s the same reason home appliances occasionally get a burst of AI labeling. “Artificial intelligence” sounds better in advertising than “interpolated multi variable lookup table”.
It’s a type of simple AI (measure water filth from an initial rinse, dry weight, soaked weight, and post spin weight, then find the average for the settings from preprogrammed values.), but it’s still AI.
Biggest reason I think it’s advertising instead of something more deliberate is because this has happened before. There’s some advance in the field, people think AI has allure again and so everything gets labeled that way. Eventually people realize it’s not the be all end all and decide that it’s not AI, it “just” a pile of math that helps you do something. Then it becomes ubiquitous and people think the notion of calling autocorrect AI is laughable.







I would recommend it. It can take a minute your first time through to get to some of the intense optimization stuff, but a lot of it’s there really early.
The dominant gameplay loop by far is “you have tools. There’s a new problem to solve with those tools that’s hard/tedious. Solving it means you can make tools that make the problem easier. Goto step one”.