I can tell you how a house is built, that doesn’t make me a builder that makes me informed and opinionated. I can decorate my house however I like but im not a painter/decorator or a tradesman. I can assemble some ikea furniture, but I’m not a carpenter. I’m a consumer and I can tweak something to my liking but I can’t do anything significant.
One can argue that a lot of "building with AI" is commoditized by fine-tuning and RAG libraries or even reduced to prompt engineering. A lot of it is also tricks that might work on one dataset but not others. Putting together libraries fueled by pizza and coke gives an illusion of skill and speed.
Are there grifters who are jumping onto the AI bandwagon? Of course! In spades. Are there also engineers who want to build up their skills and are failing to do so or in the process of doing so? Of course, this happens too! But there are also people who are trying to understand, debug and improve models who are not necessarily "building". After all, the scaling laws paper (the original one) was a result of pure analysis of empirical data.
If you want to know why Hacker News is full of people disappointed or skeptical with AI ask yourself why they put 99.9% of their effort into “zero-shot” when it is clear as day that if you get a few thousand examples and train in that you wipe the floor with “zero-shot”