This is the traditional "innovators dillema" where a skilled profession facing an imperfect technological threat decides not to adopt it until it is too late.
AI generated articles are, on the balance, inferior, except for people that want simple, low quality content.
But LLMs are moving up the value chain with Deep Research. They can give explanations tuned to a reader's knowledge/viewpoints and provide interactive content Wikipedia doesn't support. That is a killer app for math/science topics.
Wikipedia will win against a generic corporate encyclopedia on neutrality/oversight, but it'll lose badly on UX, which is what matters.
I think the tipping point will be direct integration of academic sources into ChatGPT/Claude/Gemini and a "WikiLink" type way to discover interesting follow-up topics.
I can't trust AI answers for serious historical or social science topics because of the first. And generally my chat with AI ends once I get the answer I need because I can't get rabbitholed into other topics.
They seemed open to giving it a try if they were actively involved in the experiment. Instead, it feels like a lot of people don’t really understand how Wikipedia is managed and thought that they could use it as a freeform place to get credibility or just test their pet projects.
Like, this attempt† where the bot then attempted to lecture users who were hostile towards it before it was eventually banned.
I’ve contributed a fair amount over the past few months of primarily AI generated content that I mainly just edit for the usual AI tropes and it’s pretty much all still up.
This policy has been shared a lot by the anti-AI crowd over the last week. They are celebrating it as a major site saying no to AI.
It seems a smaller "win" than most think. Just discourages wholesale rewriting and creation of new articles using AI. Assistance with editing is explicitly allowed.
This is the traditional "innovators dillema" where a skilled profession facing an imperfect technological threat decides not to adopt it until it is too late.
AI generated articles are, on the balance, inferior, except for people that want simple, low quality content.
But LLMs are moving up the value chain with Deep Research. They can give explanations tuned to a reader's knowledge/viewpoints and provide interactive content Wikipedia doesn't support. That is a killer app for math/science topics.
Wikipedia will win against a generic corporate encyclopedia on neutrality/oversight, but it'll lose badly on UX, which is what matters.
I think the tipping point will be direct integration of academic sources into ChatGPT/Claude/Gemini and a "WikiLink" type way to discover interesting follow-up topics.
I can't trust AI answers for serious historical or social science topics because of the first. And generally my chat with AI ends once I get the answer I need because I can't get rabbitholed into other topics.
They seemed open to giving it a try if they were actively involved in the experiment. Instead, it feels like a lot of people don’t really understand how Wikipedia is managed and thought that they could use it as a freeform place to get credibility or just test their pet projects.
Like, this attempt† where the bot then attempted to lecture users who were hostile towards it before it was eventually banned.
† https://en.wikipedia.org/wiki/User_talk:TomWikiAssist
I’ve contributed a fair amount over the past few months of primarily AI generated content that I mainly just edit for the usual AI tropes and it’s pretty much all still up.
Will this open the door to editors' deletion of any content they dislike, under the guise that it might (or might not) be AI generated?
Can't wait for the 80 page Talk threads.
Don’t they already do that?
This policy has been shared a lot by the anti-AI crowd over the last week. They are celebrating it as a major site saying no to AI.
It seems a smaller "win" than most think. Just discourages wholesale rewriting and creation of new articles using AI. Assistance with editing is explicitly allowed.
Source: https://en.wikipedia.org/wiki/Wikipedia:Writing_articles_wit...