julian37
Joined 16 years ago
Joined 16 years ago
Then work on making sure the LLM has all the info it needs. In this example it sounds like perhaps your hypothetical data model would need to be better typed and/or documented.
But yeah as of today it won't pick up on smells as you do, at least not without extra skills/prompting. You'll find that comforting or annoying depending on where you stand...
Amazing how far they've got since, in just two years. As others have pointed out, it's already "boring" software in that it just works. And that's no small feat because this kind of tool requires all kinds of low-level hackery to make work, and make work fast. Hats off!
(Happy user here if you couldn't tell.)
I'd take this article with a grain of salt when it doesn't even mention it, or any of the other alternatives.
https://www.washingtonpost.com/opinions/2023/01/10/baby-form...
https://abcnews.go.com/Business/story?id=3944507&page=1 (2007)
Related: https://undark.org/2023/02/01/for-a-host-of-vital-lab-tests-...
It's something lots of apps need all the time.
https://github.com/google/closure-compiler/wiki/FAQ#closure-...
As for legal or policy reasons, those still aren't reasons to write boilerplate code. Your reimplementation can be tight and reuse other abstractions or include their own.
Now, if the instructions were more explicit in forbidding (generic) tool use then perhaps we'd have something to talk about. I'm not surprised a handwavy "we're trying to evaluate you" isn't enough to stop it from trying to make up for its own shortcomings.