“This would do immediate and irreversible harm to our readers and to our reputation as a decently trustworthy and serious source,” one Wikipedia editor said.
Text to avoid paywall
The Wikimedia Foundation, the nonprofit organization which hosts and develops Wikipedia, has paused an experiment that showed users AI-generated summaries at the top of articles after an overwhelmingly negative reaction from the Wikipedia editors community.
“Just because Google has rolled out its AI summaries doesn't mean we need to one-up them, I sincerely beg you not to test this, on mobile or anywhere else,” one editor said in response to Wikimedia Foundation’s announcement that it will launch a two-week trial of the summaries on the mobile version of Wikipedia. “This would do immediate and irreversible harm to our readers and to our reputation as a decently trustworthy and serious source. Wikipedia has in some ways become a byword for sober boringness, which is excellent. Let's not insult our readers' intelligence and join the stampede to roll out flashy AI summaries. Which is what these are, although here the word ‘machine-generated’ is used instead.”
Two other editors simply commented, “Yuck.”
For years, Wikipedia has been one of the most valuable repositories of information in the world, and a laudable model for community-based, democratic internet platform governance. Its importance has only grown in the last couple of years during the generative AI boom as it’s one of the only internet platforms that has not been significantly degraded by the flood of AI-generated slop and misinformation. As opposed to Google, which since embracing generative AI has instructed its users to eat glue, Wikipedia’s community has kept its articles relatively high quality. As I recently reported last year, editors are actively working to filter out bad, AI-generated content from Wikipedia.
A page detailing the the AI-generated summaries project, called “Simple Article Summaries,” explains that it was proposed after a discussion at Wikimedia’s 2024 conference, Wikimania, where “Wikimedians discussed ways that AI/machine-generated remixing of the already created content can be used to make Wikipedia more accessible and easier to learn from.” Editors who participated in the discussion thought that these summaries could improve the learning experience on Wikipedia, where some article summaries can be quite dense and filled with technical jargon, but that AI features needed to be cleared labeled as such and that users needed an easy to way to flag issues with “machine-generated/remixed content once it was published or generated automatically.”
In one experiment where summaries were enabled for users who have the Wikipedia browser extension installed, the generated summary showed up at the top of the article, which users had to click to expand and read. That summary was also flagged with a yellow “unverified” label.
An example of what the AI-generated summary looked like.
Wikimedia announced that it was going to run the generated summaries experiment on June 2, and was immediately met with dozens of replies from editors who said “very bad idea,” “strongest possible oppose,” Absolutely not,” etc.
“Yes, human editors can introduce reliability and NPOV [neutral point-of-view] issues. But as a collective mass, it evens out into a beautiful corpus,” one editor said. “With Simple Article Summaries, you propose giving one singular editor with known reliability and NPOV issues a platform at the very top of any given article, whilst giving zero editorial control to others. It reinforces the idea that Wikipedia cannot be relied on, destroying a decade of policy work. It reinforces the belief that unsourced, charged content can be added, because this platforms it. I don't think I would feel comfortable contributing to an encyclopedia like this. No other community has mastered collaboration to such a wondrous extent, and this would throw that away.”
A day later, Wikimedia announced that it would pause the launch of the experiment, but indicated that it’s still interested in AI-generated summaries.
“The Wikimedia Foundation has been exploring ways to make Wikipedia and other Wikimedia projects more accessible to readers globally,” a Wikimedia Foundation spokesperson told me in an email. “This two-week, opt-in experiment was focused on making complex Wikipedia articles more accessible to people with different reading levels. For the purposes of this experiment, the summaries were generated by an open-weight Aya model by Cohere. It was meant to gauge interest in a feature like this, and to help us think about the right kind of community moderation systems to ensure humans remain central to deciding what information is shown on Wikipedia.”
“It is common to receive a variety of feedback from volunteers, and we incorporate it in our decisions, and sometimes change course,” the Wikimedia Foundation spokesperson added. “We welcome such thoughtful feedback — this is what continues to make Wikipedia a truly collaborative platform of human knowledge.”
“Reading through the comments, it’s clear we could have done a better job introducing this idea and opening up the conversation here on VPT back in March,” a Wikimedia Foundation project manager said. VPT, or “village pump technical,” is where The Wikimedia Foundation and the community discuss technical aspects of the platform. “As internet usage changes over time, we are trying to discover new ways to help new generations learn from Wikipedia to sustain our movement into the future. In consequence, we need to figure out how we can experiment in safe ways that are appropriate for readers and the Wikimedia community. Looking back, we realize the next step with this message should have been to provide more of that context for you all and to make the space for folks to engage further.”
The project manager also said that “Bringing generative AI into the Wikipedia reading experience is a serious set of decisions, with important implications, and we intend to treat it as such, and that “We do not have any plans for bringing a summary feature to the wikis without editor involvement. An editor moderation workflow is required under any circumstances, both for this idea, as well as any future idea around AI summarized or adapted content.”
Why would anyone need Wikipedia to offer the AI summaries? Literally all chat bots with access to the internet will summarize Wikipedia when it comes to knowledge based questions. Let the creators of these bots serve AI slop to the masses.
Human posting of AI-generated content is definitely a problem; but ultimately that's a moderation problem that can be solved, which is quite different from AI-generated content being put forward by the platform itself. There wasn't necessarily anything stopping people from doing the same thing pre-GPT, it's just easier and more prevalent now.
I'm so tired of "AI". I'm tired of people who don't understand it expecting it to be magical and error free. I'm tired of grifters trying to sell it like snake oil. I'm tired of capitalist assholes drooling over the idea of firing all that pesky labor and replacing them with machines. (You can be twice as productive with AI! But you will neither get paid twice as much nor work half as many hours. I'll keep all the gains.). I'm tired of the industrial scale theft that apologists want to give a pass to while individuals who torrent can still get in trouble, and libraries are chronically under funded.
It's just all bad, and I'm so tired of feeling like so many people are just not getting it.
I hope wikipedia never adopts this stupid AI Summary project.
People not getting things that seem obvious is an ongoing theme, it seems. We sat through a presentation at work by some guy who enthusiastically pitched AI to the masses. I don't mean that's what he did, I mean "enthusiasm" seemed to be his ONLY qualification. Aside from telling folks what buttons to press on the company's AI app, he didn't know SHIT. And the VP got on before and after and it was apparent that he didn't know shit, either. Someone is whispering in these people's ears and they're writing fat checks, no doubt, and they haven't a clue what an LLM is, what it is good at, nor what to be wary of. Absolutely ridiculous.
there's a summary paragraph at the top of each article which is written by people who have assholes probably. it's the whole reason to use wikipedia at this point
I know one study found that 51% of summaries that AI produced for them contained significant errors. So AI-summaries are bad news for anyone who hopes to be well informed. source https://www.bbc.com/news/articles/c0m17d8827ko
Is it just me, or was the addition of AI summaries basically predetermined? The AI panel probably would only be attended by a small portion of editors (introducing selection bias) and it's unclear how much of the panel was dedicated to simply promoting the concept.
I imagine the backlash comes from a much wider selection of editors.
I get that the simple language option exists, and i definitely think I'm not qualified to really argue what Wikipedia should or should not do. But I wanted to share what my lemmy feed looked like when I clicked into this post and I gotta say, I sorta get it.
The United States is transitioning into a post-literate society. Teaching kids to read was too hard, and had the ugly side effect of encouraging critical thinking, and that led to liberalism, or worse, Marxism.
So we're using technology to eliminate reading entirely. After all, if you can ask a LLM any question and get a simple answer read to you out loud in simple vocabulary, what more do you need? Are you going to read for pleasure? To fact check? To better yourself? Sounds like ivory tower liberal elitism to me.
Those Americans with a 6th grade reading level or less are precisely the people who shouldn’t be reading AI summaries. They’ll lack the critical thinking and reading skills to catch on to garbage.
I mean, the LLM thing has a proper field for deployment - it can handle the translation of articles that just don't exist in your language. But it should be a button a person clicks with their consent, not an article they get by default, not a content they get signed by the Wikipedia itself. Nowadays, it's done by browsers themselves and their extensions.
Summaries for complex Wikipedia articles would be great, especially for people less knowledgeable of the given topic, but I don't see why those would have to be AI-generated.
Fucking thank you. Yes, experienced editor to add to this: that's called the lead, and that's exactly what it exists to do. Readers are not even close to starved for summaries:
Every single article has one of these. It is at the very beginning – at most around 600 words for very extensive, multifaceted subjects. 250 to 400 words is generally considered an excellent window to target for a well-fleshed-out article.
Even then, the first sentence itself is almost always a definition of the subject, making it a summary unto itself.
And even then, the first paragraph is also its own form of summary in a multi-paragraph lead.
And even then, the infobox to the right of 99% of articles gives easily digestible data about the subject in case you only care about raw, important facts (e.g. when a politician was in office, what a country's flag is, what systems a game was released for, etc.)
And even then, if you just want a specific subtopic, there's a table of contents, and we generally try as much as possible (without harming the "linear" reading experience) to make it so that you can intuitively jump straight from the lead to a main section (level 2 header).
Even then, if you don't want to click on an article and just instead hover over its wikilink, we provide a summary of fewer than 40 characters so that readers get a broad idea without having to click (e.g. Shoeless Joe Jackson's is "American baseball player (1887–1951)").
What's outrageous here isn't wanting summaries; it's that summaries already exist in so many ways, written by the human writers who write the contents of the articles. Not only that, but as a free, editable encyclopedia, these summaries can be changed at any time if editors feel like they no longer do their job somehow.
This not only bypasses the hard work real, human editors put in for free in favor of some generic slop that's impossible to QA, but it also bypasses the spirit of Wikipedia that if you see something wrong, you should be able to fix it.
Yeah this screams "Let's use AI for the sake of using AI". If they wanted simpler summaries on complex topics they could just start an initiative to have them added by editors instead of using a wasteful, inaccurate hype machine
The main issue I have as an editor is that there is no straightforward way to retrain the LLM to correct faulty training as directly or revertably as the existing method of editing an article's wikicode. Already, much of my time updating Wikipedia is spent parsing puffery and removing phrases like “award-winning” or “renowned”, inserted by malicious advertisers trying to use Wikipedia as a free billboard. If a Wikipedia LLM began making subjective claims instead of providing objective facts backed by citations, I would have to teach myself machine learning and get involved with the developers who manage the LLM's training. That raises the bar for editor technical competency which Wikipedia historically has been striving to lower (e.g. Visual Editor).
Wouldn't be surprised, since "no" as a full sentence does not exist in tech or online anymore - it's always "yes" or "maybe later/not now/remind me next time" or other crap like that...
Good! I was considering stopping my monthly donation. They better kill the entire "machine-generated" nonsense instead of just pausing, or I will stop my pledge!
If they’re high quality editors who consistently put out a lot of edits then yeah, it is meaningful and insightful. Wikipedia exists because of them and only them. If most feel like they do and stop doing all this maintenance for free, then Wikipedia becomes a graffiti wall/ad space and not an encyclopedia.
Thinking the immediate disgust of the people doing all the work for you for free is meaningless is the best way to nose dive.
Also, you literally had to scroll past a very long and insightful comment to get to that.
Didn't they just pass a site-wide decision on the use of LLMs in creating/editing otherwise "human made" text?
Why do they need to take the human element out? Why would anyone want them to?
God I hope this isn't the beginning of the end for Wikipedia. They live and die on the efforts of volunteer editors (like Reddit relied on volunteer mods and third party tool devs). The fastest way to tank themselves is by driving off their volunteers with shit like this.
And it's absurdly easier to lose the good will they have than to rebuild it.
Wait until you learn about their budget. When they do donation drives with a sad jimmy wales face they make it seem like Wikipedia is about to go offline. However if they were only hosting Wikipedia they already have enough money to do that pretty much until the end of time. However the foundation spends a ton of money on the pet causes of the board members. The causes aren’t necessarily bad or anything, but misleading donors like that is super messed up.
Aaaaarrgg! This is horrible they stopped AI summaries, which I was hoping would help corrupt a leading institution protecting free thought and transfer of knowledge.
Lucifer is literally the angel of free thought. Satanism promotes critical thinking and the right to question authority. Wikipedia is one of the few remaining repositories of free knowledge and polluting it with LLM summaries is exactly the inscrutable, uncritiqueable bullshit that led to the Abrahamic god casting Lucifer out.
I realize your reply is facetious, but there's a reason we're dealing with christofascists and not satanic fascists. Don't do my boy dirty like that.
There are 1000 ways to get a summary of a Wikipedia article. I don’t think they need to offer them directly on the site. If someone wants a machine generated summary or translation they already have a tool to do that. Seems like a waste of Wikipedia’s Resources
Is it still possible to see those generated summaries somewhere? Would like to see what their model outputs for some articles, especially compared to the human written lead-in.