zlacker

>>tablet+(OP)
I’d love to see the authors of effusive praise of generative AI like this provide the proof of the unlimited powers of their tools in code. If GAI (or agents, or whatever comes next …) is so effective it should be quite simple to prove that by creating an AI only company and in short order producing huge amounts of serviceable code to do useful things. So far I’ve seen no sign of this, and the best use case seems to be generating text or artwork which fools humans into thinking it has coherent meaning as our minds love to fill gaps and spot patterns even where there are none. It’s also pretty good at reproducing things it has seen with variations - that can be useful.

So far in my experience watching small to medium sized companies try to use it for real work, it has been occasionally useful for exploring apis, odd bits of knowledge etc, but overall wasted more time than it has saved. I see very few signs of progress.

The time has come for llm users to put up or shut up - if it’s so great, stop telling us and show and use the code it generated on its own.

>>grey-a+ba
What kind of proof are you looking for here, exactly? Lots of businesses are successfully using AI... There are many anecdotes of this, which you can read here, or even in the article you commented on.

What else are you looking for?

>>sander+nb
I'd like to see any actual case studies. So far I have only heard vague hype.

>>Hammer+ed
There are lots of concrete examples in this article: https://www.semafor.com/article/06/03/2025/how-vibe-coding-i...

Do I think those rise to "case studies"? No. But to another commenters point, detailed and rigorous case studies have always been hard to come by for any productivity process or technology.

I also think that article is hype, but it's not true that it's vague.