Speaking very generally, it's still conceding an amount of human intelligence and there are problems with it that are worth talking about, but it's a use of AI that at least defers to human judgment, and as long as users are still personally researching and writing their own edits I honestly don't hate it. Much.
this post was submitted on 01 Dec 2025
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it's mostly outsourcing attention, which is pretty acceptable for a large project like wikipedia.
Right - I won't call it a good thing to let people de-skill on reading comprehension skills, but they're donating their labour to a public benefit! I'm hardly going to scold them as if I was their professor.
my thought is mainly that there aren't enough hours in the day to read and check everything on wikipedia. there's a reason the scots vandalism went unnoticed so long, people just don't have the time.
That’s my main use for LLMs
- I write the code logic, the main argument points, etc
- let the LLM lint, format and structure the discussion
- I provide another round of copy editing, styling and other updates
personally i have separate linters, formatters and structure markers that don't raise the temperature of my apartment when in use, but you do you.
I agree here and this goes back before ai. Any automated thing is fine with humans in the loop but once you take them out is when the trouble starts.
Most of the errors aren't so bad, but it's definitely nice to correct them.
You need to know Wikipedia's system a bit though, because ChatGPT suggests these kind of things:
Want me to draft a crisp correction note you can paste on the article's talk page?
Using LLMs when interacting with other editors is "strongly frowned upon", and you can get banned if you refuse to stop. Especially if you are editing a lot of pages as you just discovered a lot of issues.
I appreciate that you have taken the time to verify and correct them. This is using AI exactly as it is meant to be used for once.
What you didn't mention tho: Have you searched these articles for false nagatives? Because the result sounds nice, but they don't have to be.
If ChatGPT overlooks too many errors, it might improve quality, but at the same time give you a false sense of security/correctness.
Edit: I also asked about false positives, which OP has detailed. I'm just an idiot and didn't realize that they linked an article about their work
"I used the plagiarism engine to read the freely shared knowledge pool and it said it was wrong"
Using ChatGPT to "fix" Wikipedia, what could possibly go wrong? (/s as the approach seems valid, this is just a funny statement)