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Overhyped? Sure. Expensive? Definitely. Unreliable? Sometimes.

So many HNers love to be contrarian about anything resembling a hype train, and feel validated when a report like this comes out. I think the reality is that people moving forward with integrating AI into various aspects of their business and reaping the rewards aren't here making snarky "I told you so" comments, which seems to be every other comment on this and the other threads about the same article.



But, I've yet to see the "rewards". I see tech companies laying off staff with the expectation of AI taking up the slack while every piece of software I use gets shitier. Show me the bottom line improvement, or better tools, better art, better music... It just doesn't live up to the hype.


Others can speak to the bottom line improvement. I'm sure for investors the "return" looks a lot different, but for my own uses various AI tools have been a major boon to my productivity.


Such as?

I tried copilot once and it was pretty keen on sneaking itty bitty bugs in to my programs very frequently.

It is fine for certain boiler plates, but it wasn’t “great” for anything that templates weren’t already great for.


This is classic example of y intercept that the parents mean


Sometimes unreliable is a very funny qualifier. If something were consistently unreliable then unreliable wouldn’t be the right term.


Sometimes is the qualifier. What are you using it for and how are you using it? The barrier to consistent reliability with these tools is definitely above most organizations' grasp at this point, but that'll only improve with time.


If something is reliable, it is, by definition, consistently reliable.

If something is unreliable, it is, by definition inconsistently unreliable.


It's not overhyped. It's correctly hyped because it's hard to estimate the upper bounds of the value AI can bring.


HN is overwhelmingly pro-AI and on the LLM hype train. Silicon Valley and YC are largely only investing in that sector right now. Pretending there is some huge contrarian group here is absurd


this is a really common problem online and HN too: some people think the general consensus is really biased one direction, and some people (reading the same material) think the opposite is true.

i see people constantly ragging on LLMs as being infringing and bad and wanting to see them fail


Are they? Virtually every comment on this thread, and the two others from the past week, have a pretty negative sentiment overall if not more or less saying "I told you so"


I mean, I think people are getting a little tired of the hype; not sure how many true believers there are at this point.


Losing faith at an (arguable) lull of two years are not the believers we need anyway. Some of us were believers even ten years ago.


Roko’s Basilisk thanks you for your devotion.


You're talking like AI is a religion




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