+1, AIs don’t really “understand” anything, like human anatomy and deformity rates and societal norms when tasked with image generation, so you get hands with weird numbers of digits and other topological errors which even a very unintelligent human wouldn’t make. AI doesn’t understand and build knowledge in interconnected layers, it can’t “think” and link things back to first principles, it can’t really reason about things, and it’s not going to get significantly better until we start approaching it differently. This generation of AI might be useful for some things, but it’s being applied wayyyy too broadly too quickly and I see a big pullback coming.

“Expert systems” are not a new thing, and they’re still not all that useful except in some very small niches. Phone trees that can keyword match FAQs are useful for a lot of low-effort callers who put zero effort into solving their problem on their own first, but frustrating for callers who are only calling because there’s literally no other way for them to resolve their issue. Unfortunately for consumers, the cost is very low for businesses to make everyone wade through junky phone tree systems and penalize anyone who tries to mash zero to talk to a real person, even if that’s the only thing which will actually help them.