"AI" nowadays is a mess. I could write a book on why I feel this way, but a lot of it has to do with the prevalence of narrowly defined, domain-specific algorit

"AI" nowadays is a mess. I could write a book on why I feel this way, but a lot of it has to do with the prevalence of narrowly defined, domain-specific algorithms that need to be heavily tuned to fit your usage parameters. Even then, you can't always be sure they'll work well. AI is not an easy problem, otherwise we'd have made more progress by now. And unfortunately, barring a major breakthrough, there won't ever be a "one size fits all" approach to AI (or at least a less fractured algorithm landscape). It's all pretty disillusioning, especially if you started out as a bushy-tailed CS undergrad with visions of a grand unified theory of artificial intelligence.