Based on recent comments this feels like a discussion we should have. So…topic, basically.
I’m not looking to be chief noisemaker on this, but I stand by what I wrote in !privacy and what’s in my post history.
https://lemmy.ml/post/48724623/26190950
Let’s have at; do we want a [AI] and [NOT AI] tag. Why or why not?
What does it mean for a project to deserve the [AI] tag? This matters, because you may have a lot of projects where a developer may think “no” and someone else thinks “yes”. Some examples from my day job:
In these examples the developer carefully reviews the AI’s output, which I think distinguishes it from vibe-coded slop, which at least is what I want to ignore.
It’s also worth noting that an open-source project may receive and incorporate a well-written contribution where the human developer used AI carefully like this. Unless they disclosed that they used AI, it may be unknowable to the project maintainers whether their project is [AI] or not, depending on how you define it. What tag should these projects use?
Sir, this is Lemmy. If you use AI in any way, you are clearly in league with the devil and deserve to burn.
I agree with all your points, BTW.
I posted this discussion because I wanted to explore both guard rails AND nuance around that sort of work flow, particularly for our new mod (and in light of several other scattered convos).
A lot of the diffuse FuckAI Lemmy crowd have poor understanding of code workflow. “AI bad” knee jerks so hard it’s going to dislocate something.
I’ve tried to argue this point, because roughly… ooh…100% of code gen touches AI something. So, do we tag everything?
What people really want is a [SLOP] tag, which is both lazy / not doing your own due diligence and impossible to implement.
In hindsight, I think the pragmatic approach is ultimately the workable (albeit blunted) one. Have the ai tag. It flattens everything but if stops brigading and slop, that’s the least amount of moderation work.
I appreciate you posting btw.
Bahahahahahaha!
@festus @selfhosted Excellent examples. What the tag [AI] conveys is not what you really need to know, which is the quality of the code (component/unit), unit testing, and so forth. I assume there is some acceptance testing done at the project level. The human who submits the code must understand that flaws in their code is their responsibility, just as those who contribute/maintain the project are responsible at the system level. It is both an objective and reputational process. Does it really matter what tools are used if the work product passes the test, verification and validation criteria? Sloppy code is not unique to AI tools.