> but it feels uncreative? like, sure, just because it hasn't been mass adopted by consumers, doesn't mean there wasn't value generation done on an industrial level. you're probably using consumer products right now that have benefitted from 3d printing in some way.

I'd suggest reading both the article and the surrounding reddit comments if you want context for my argument there. The explicit argument there was that everyone would own a 3d printer. Not that they would be used in commercial applications or to produce consumer goods. No, instead that everyone would have a 3d printer on hand to make most of their goods (rather than having their goods shipped to them). That's the hype.

I did not say there weren't other areas where 3d printing could be successful nor that it wouldn't have applications. Rather, that the hype around it was unfounded and overblown.

This is much the same way I see LLMs. The current hype around them is that every job will end up being replaced. Doctors, nurses, lawyers, programmers, engineers, architects, everything. All replaced by LLMs and AI. However, that seems really unrealistic when the current state of LLMs is you always need a human doublechecking what it produces, and it's known to give out incorrect responses. Further, LLMs have limited capabilities to interact with applications let alone the physical world. Perhaps they will but also perhaps they won't. The imagination of what they could do is just wildly out of step with what they currently do.

> what hype train are you referring to? i know a lot of different predictions in machine learning, so i'm curious about what you mean specifically.

I didn't really see a lot of predictions around ML. Instead, it was more just a bunch of articles talking about the importance of it and seemingly ever CEO deciding they need more ML in their products. Lots of stuff ended up being marketed specifically because it had ML capabilities (much like this last CES had almost every product with "AI" capabilities).

Funnily, the ML didn't (as far as I could see) have a whole lot of predictions other than more of an ephemeral notion that it would save manpower.

I bring it up in this case because like LLMs, there's just a bunch of buzz around 2 letters with not a whole lot of actual examples of those 2 letters being put to practical use.