

Well, a webserver does not choose what it’s going to serve. I as the intelligent entity made that decision and put it in. The webserver executes it, but there’s no intelligence there. That’s all mine.
I think we’re pretty much at the distinction between classic computing and AI (minus things like expert systems). With traditional algorithms, the programmer puts in all the smarts. Decides what to do, how to tackle a problem, down to the mathematical operation. If X happens, then pull up some data and do Y. In case any Z happens, fail that way. All the intelligence in the process came from me, the programmer. And I made the judgements. With AI, we do not want that. We just put in the goal, and let -for example- reinforcement learning figure out what to do, and how to do it.
And with strong AI, we want even more than that. It’s supposed to do a broad range of tasks, including new ones. Main point being, it should be able to figure it out. Not borrow intelligence from a human who is then going to come in to change the webserver config or reprogram the KUKA industrial robot for a new car part.
I think what you’re describing is something more a traditional computer. Or an expert system. It has a lot of knowledge/data, but not any capacity to grow, learn, adapt, or figure out stuff on it’s own. We need to put that in beforehand, in detail. And we already have that. It’s how regular computers work.


Guess it just makes it easier for them. Back in the day they needed to task some employee per franchisee. Now it’s done by one central AI. And it enables more innovation. An AI can be quicker and more dynamic. Recalculate prices multiple times a day… In theory and now that they got those electronic checkouts plus AI they could customize the upselling to individual customers. And those kinds of things.