Some of the software that I maintain is critical to container ecosystem and I'm an extremely paranoid developer who starts investigating any github issue within a few minutes of it opening. Now, some of these AI slop github issues have a way to "gaslight" me into thinking that some code paths are problematic when they actually are not. And lately AI slop in issues and PRs have been taking up a lot of my time.
There’s already more human produced content in the world than anyone could ever hope to consume, we don’t need more from AI.
But in general I think most people still remain excessively gullible and naive. Social media image crafting is one of the best examples of this. People create completely fake and idealized lives that naive individuals think are real. Now with AI enabling one to create compelling 'proof' of whatever lie you want, I think more people are becoming more suspicious of things that were, in fact, fake all along.
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Going back to ancient times many don't know that Socrates literally wrote nothing down. Basically everything we know of him is thanks to other people, his student Plato in particular, instead writing down what he said. The reason for this was not a lack of literacy - rather he felt that writing was harmful because words cannot defend themselves, and can be spun into misrepresentations or falsehoods. Basically - the argumentative fallacies that indeed make up most 'internet debates', for instance. Yet now few people are not aware of this issue, and quotes themselves are rarely taken at face value, unless they confirm ones biases. People became less naive as writing became ubiquitous, and I think this is probably a recurring theme in technologies that transform our abilities to transfer information in some format or another.
The only solution I can see is a hard-no policy. If I think this bug is AI, either by content or by reputation, I close without any investigation. If you want it re-opened, you'll need to IRL prove its genuine in an educated, good-faith approach that involves independent efforts to debug.
> "If you put your name on AI slop once, I'll assume anything with your name on it is (ignorable) slop, so consider if that is professionally advantageous".
I can't imagine that any policy against LLM code would allow this sort of thing, but I also imagine that if I don't say "this was made by a coding agent", that no one would ever know. So, should I just stop contributing, or start lying?
Honestly, this is kind of where I see LLM generated content going where you'll have to pay for ChatGPT 9 to get information because all the other bots have vandalized all the primary sources.
What's really fascinating is you need GPUs for LLMs. And most LLM output is, well, garbage. What did you previously need GPUs for? Mining crypto and that is, at least in the case of Bitcoin, pointless work for the sake of pointless work ie garbage.
I can see a future in our lifetimes where a significant amount of our capital expenditure and energy consumption is used, quite simply, to produce garbage.
I do not use Copilot, Claude, etc, although I partially agree with one of the comments there, that using LLM for minor auto-completion is probably OK, as long as you can actually see that the completion is not incorrect (although that should apply to other uses of auto-completion too, even if LLM is not used). I think it would be better to not accept any LLM generated stuff otherwise (although the author might use LLM to assist before submitting it if desired (I don't, but it might help some programmers), e.g. in case the LLM finds problems with it, that they will then have to review themself to check if it is correct, before correcting and submitting it).
dropbox_miner•1h ago
And honestly, its becoming annoying