Software is hype at its core. Not everyone understands some problems can be solved with it and some can’t and why that’s a thing even, with different “hardnesse

Software is hype at its core. Not everyone understands some problems can be solved with it and some can’t and why that’s a thing even, with different “hardnesses” of problem spaces. See Penrose tilings. Search can solve lots of problems for people however, and integrating Visual and semantic text search with machine learning networks is probably a good way to explore this frontier better by using humans as the fallback processor for non computable “calculations” (guesses explained in stories?). General AI is probably the most interesting outcome, but likely doesn’t have a clear path to “development” due to it being highly cross disciplinary, a bit fuzzy with its obvious use case (new friends) and the seeming extensional threat (bad friends).