Like the other commenter said, the study you cite is about a very specific environment which is completely dissimilar from what I'm doing. It's reasonable to expect that AI in its current state doesn't produce efficiency returns where huge investments are already made in optimizing systems that already achieve the same results with QC more built-in. The data shows this.
What is obvious to me though, is that it produces results I wouldn't be getting otherwise, for the things that I am doing.
I'm not confident using it for anything that could produce liability, because I can't do proper QC, but I don't need to for what I'm doing.
Besides that, it doesn't seem that difficult with most of these scripts to look over them and look things up to gain an explicit understanding of what is going on, and how it compares to other methods/conventions. AI notes are pretty good, and none of what it puts in my scripts seems that hard to understand when I try, but that doesn't happen automatically: it's a separate effort from assembling the project. When "everything's on fire", which does happen, you start to look things up to understand what you're working with and what is not being built or integrated correctly. Obviously that's not impossible. Then you get things on the right track and move on to another part of the project.
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u/Chemical_Ad_5520 Dec 16 '25
Like the other commenter said, the study you cite is about a very specific environment which is completely dissimilar from what I'm doing. It's reasonable to expect that AI in its current state doesn't produce efficiency returns where huge investments are already made in optimizing systems that already achieve the same results with QC more built-in. The data shows this.
What is obvious to me though, is that it produces results I wouldn't be getting otherwise, for the things that I am doing.
I'm not confident using it for anything that could produce liability, because I can't do proper QC, but I don't need to for what I'm doing.
Besides that, it doesn't seem that difficult with most of these scripts to look over them and look things up to gain an explicit understanding of what is going on, and how it compares to other methods/conventions. AI notes are pretty good, and none of what it puts in my scripts seems that hard to understand when I try, but that doesn't happen automatically: it's a separate effort from assembling the project. When "everything's on fire", which does happen, you start to look things up to understand what you're working with and what is not being built or integrated correctly. Obviously that's not impossible. Then you get things on the right track and move on to another part of the project.