this post was submitted on 21 Aug 2025
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[–] brucethemoose@lemmy.world 169 points 2 days ago* (last edited 2 days ago) (3 children)

Wales’s quote isn’t nearly as bad as the byline makes it out to be:

Wales explains that the article was originally rejected several years ago, then someone tried to improve it, resubmitted it, and got the same exact template rejection again.

“It's a form letter response that might as well be ‘Computer says no’ (that article's worth a read if you don't know the expression),” Wales said. “It wasn't a computer who says no, but a human using AFCH, a helper script [...] In order to try to help, I personally felt at a loss. I am not sure what the rejection referred to specifically. So I fed the page to ChatGPT to ask for advice. And I got what seems to me to be pretty good. And so I'm wondering if we might start to think about how a tool like AFCH might be improved so that instead of a generic template, a new editor gets actual advice. It would be better, obviously, if we had lovingly crafted human responses to every situation like this, but we all know that the volunteers who are dealing with a high volume of various situations can't reasonably have time to do it. The templates are helpful - an AI-written note could be even more helpful.”

That being said, it still reeks of “CEO Speak.” And trying to find a place to shove AI in.

More NLP could absolutely be useful to Wikipedia, especially for flagging spam and malicious edits for human editors to review. This is an excellent task for dirt cheap, small and open models, where an error rate isn’t super important. Cost, volume, and reducing stress on precious human editors is. It's a existential issue that needs work.

…Using an expensive, proprietary API to give error prone yet “pretty good” sounding suggestions to new editors is not.

Wasting dev time trying to make it work is not.

This is the problem. Not natural language processing itself, but the seemingly contagious compulsion among executives to find some place to shove it when the technical extent of their knowledge is occasionally typing something into ChatGPT.

It’s okay for them to not really understand it.

It’s not okay to push it differently than other technology because “AI” is somehow super special and trendy.

[–] Pringles@sopuli.xyz 61 points 2 days ago (2 children)

That being said, it still wreaks of “CEO Speak.”

I think you mean reeks, which means to stink, having a foul odor.

[–] cygnus@lemmy.ca 46 points 2 days ago

Those homophones have reeked havoc for too long!

[–] brucethemoose@lemmy.world 14 points 2 days ago

Waves hands "You didn't see anything."

[–] frezik@lemmy.blahaj.zone 43 points 2 days ago (2 children)

This is another reason why I hate bubbles. There is something potentially useful in here. It needs to be considered very carefully. However, it gets to a point where everyone's kneejerk reaction is that it's bad.

I can't even say that people are wrong for feeling that way. The AI bubble has affected our economy and lives in a multitude of ways that go far beyond any reasonable use. I don't blame anyone for saying "everything under this is bad, period". The reasonable uses of it are so buried in shit that I don't expect people to even bother trying to reach into that muck to clean it off.

[–] brucethemoose@lemmy.world 20 points 2 days ago* (last edited 2 days ago) (1 children)

This bubble's hate is pretty front-loaded though.

Dotcom was, well, a useful thing. I guess valuations were nuts, but it looks like the hate was mostly in the enshittified aftermath that would come.

Crypto is a series of bubbles trying to prop up flavored pyramid schemes for a neat niche concept, but people largely figured that out after they popped. And it's not as attention grabbing as AI.

Machine Learning is a long running, useful field, but ever since ChatGPT caught investors eyes, the cart has felt so far ahead of the horse. The hate started, and got polarized, waaay before the bubble popping.

...In other words, AI hate almost feels more political than bubble fueled. If that makes any sense. It is a bubble, but the extreme hate would still be there even if it wasn't.

[–] stankmut@lemmy.world 20 points 2 days ago (3 children)

Crypto was an annoying bubble. If you were in the tech industry, you had a couple of years where people asked you if you could add blockchain to whatever your project was and then a few more years of hearing about NFTs. And GPUs shot up in price. Crypto people promised to revolutionize banking and then get rich quick schemes. It took time for the hype to die down, for people to realize that the tech wasn't useful, and that the costs of running it weren't worth it.

The AI bubble is different. The proponents are gleeful while they explain how AI will let you fire all your copywriters, your graphics designers, your programmers, your customer support, etc. Every company is trying to figure out how to shoehorn AI into their products. While AI is a useful tool, the bubble around it has hurt a lot of people.

That's the bubble side. It also gets a lot of baggage because of the slop generated by it, the way it's trained, the power usage, the way people just turn off their brains and regurgitate whatever it says, etc. It's harder to avoid than crypto.

[–] brucethemoose@lemmy.world 5 points 2 days ago* (last edited 2 days ago) (1 children)

Yeah, you're right. My thoughts were kinda uncollected.

Though I will argue some of the negatives (like inference power usage) are massively overstated, and even if they aren't, are just the result of corporate enshittification more than the AI bubble itself.

Even the large scale training is apparently largely useless: https://old.reddit.com/r/LocalLLaMA/comments/1mw2lme/frontier_ai_labs_publicized_100kh100_training/

[–] badgermurphy@lemmy.world 5 points 1 day ago

I believe that the bad behavior of corporate interests is often one of the key contributors to these financial bubbles in every sector where they appear.

To say that some of the bad things about this particular financial bubble are because of a bunch of companies being irresponsible and/or unethical seems not to acknowledge that one is primarily caused by the other.

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So... I actually proposed a use case for NLP and LLMs in 2017. I don't actually know if it was used.

But the usecase was generating large sets of fake data that looked real enough for performance testing enterprise sized data transformations. That way we could skip a large portion of the risk associated with using actual customer data. We wouldn't have to generate the data beforehand, we could validate logic with it, and we could just plop it in the replica non-prodiction environment.

At the time we didn't have any LLMs. So it didn't go anywhere. But it's always funny when I see all this "LLMs can do x" because I always think about how my proposal was to use it... For fake data.

[–] FaceDeer@fedia.io 9 points 2 days ago (3 children)

That being said, it still wreaks of “CEO Speak.” And trying to find a place to shove AI in.

I don't see how this is "shoved in." Wales identified a situation where Wikipedia's existing non-AI process doesn't work well and then realized that adding AI assistance could improve it.

[–] brucethemoose@lemmy.world 13 points 2 days ago* (last edited 2 days ago)

Neither did Wales. Hence, the next part of the article:

For example, the response suggested the article cite a source that isn’t included in the draft article, and rely on Harvard Business School press releases for other citations, despite Wikipedia policies explicitly defining press releases as non-independent sources that cannot help prove notability, a basic requirement for Wikipedia articles.

Editors also found that the ChatGPT-generated response Wales shared “has no idea what the difference between” some of these basic Wikipedia policies, like notability (WP:N), verifiability (WP:V), and properly representing minority and more widely held views on subjects in an article (WP:WEIGHT).

“Something to take into consideration is how newcomers will interpret those answers. If they believe the LLM advice accurately reflects our policies, and it is wrong/inaccurate even 5% of the time, they will learn a skewed version of our policies and might reproduce the unhelpful advice on other pages,” one editor said.

It doesn't mean the original process isn't problematic, or can't be helpfully augmented with some kind of LLM-generated supplement. But this is like a poster child of a troublesome AI implementation: where a general purpose LLM needs understanding of context it isn't presented (but the reader assumes it has), where hallucinations have knock-on effects, and where even the founder/CEO of Wikipedia seemingly missed such errors.

Don't mistake me for being blanket anti-AI, clearly it's a tool Wikipedia can use. But the scope has to be narrow, and the problem specific.

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[–] carotte@lemmy.blahaj.zone 84 points 1 day ago (3 children)

jimmy wales is also the president and co-founder of fandom

to give you an idea of who that guy is

[–] Devmapall@lemmy.zip 28 points 1 day ago (1 children)
[–] Agent641@lemmy.world 8 points 1 day ago (2 children)
[–] Ganbat@lemmy.dbzer0.com 47 points 1 day ago (1 children)

Fandom (previously Wikia) is an extremely shitty service with low-quality wikis mostly consisting of content copied from independent wikis and a terrible layout that only exists to amplify their overwhelming advertising.

[–] Tortellinius@lemmy.world 13 points 1 day ago

While this is true, the majority of the wikis are not at all low quality. Some are the only ones existing for a topic. The wikis are community-based, after all.

But its easy to vandalize and is highly profit-driven. The fandom wikis are filled with ads that absolutely destroy navigation. Infamous is the video ad that scrolls you up automatically in the middle of reading once it finishes. You have to pause it to read the article with no interruption.

[–] lime@feddit.nu 16 points 1 day ago (1 children)

they captured the "niche wiki" market as wikia, then rebranded and started serving shittons of ads. the vim wiki is unusable these days because it runs like ass and looks like a gamer rgb nightmare

[–] JohnEdwa@sopuli.xyz 6 points 1 day ago* (last edited 1 day ago)

There's an addon for that, Indie Wiki Buddy.
It tries to redirect you to non fandom/fextralife wikis if they exist, and if not, it proxies fandom wikis through BreezeWiki which just displays the content.

And I'll take this opportunity to plug Hohser and the uBlock AI blocklist as well.

[–] hr_@lemmy.world 19 points 1 day ago (1 children)

I mean, the Wikipedia page does say it was sold in 2018. Not sure how it was before but it's not surprising that it enshittified by now.

[–] OboTheHobo@ttrpg.network 7 points 1 day ago

I guess in his defense it wasn't too bad before 2018, as far as I can remember. Most of the enshittification of fandom I can remember has happened since.

[–] LiveLM@lemmy.zip 5 points 1 day ago

Obligatory plug for BreezeWiki. Makes that shit actually usable.

[–] ramsay@lemmy.world 62 points 1 day ago (8 children)

I will stop donating to Wikipedia if they use AI

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[–] Alphane_Moon@lemmy.world 55 points 2 days ago (2 children)

Why is leadership always so vapid and disconnected from reality?

[–] captainastronaut@seattlelunarsociety.org 46 points 2 days ago (2 children)

Because this is one of the rare times he sat down at the keyboard to do the real work being done by people in this organization and he realized that it’s hard and he wants a shortcut. He sees his time as more valuable and sees this task as wasting his time, but it is their primary task and one they do as volunteers because they are passionate about it. He’s not going to get a lot of traction with them telling them the thing they do for free because they love it isn’t worth anyone’s time.

[–] Aatube@kbin.melroy.org 23 points 2 days ago

I think commenters here don't actually do Wikipedia. Wales was instrumental in Wikipedia's principles and organization besides the first year of Sanger. He handpicked the first administrators to make sure the project would continue its anarchistic roganization and prevent a hierarchy from having a bigger say in content matters.

I would characterize Wales as a long-retired leader rather than leadership.

[–] ronigami@lemmy.world 6 points 1 day ago

I swear these people have never been around a cathedral and thought about how it was built.

[–] Storm@slrpnk.net 6 points 2 days ago

Because that's what being in a position of power does to a mf

[–] Carvex@lemmy.world 45 points 2 days ago (12 children)

Remember you can download all of Wikipedia in your language and safely store it on a drive buried in your backyard, for after they rewrite history and eliminate freedom of speech.

[–] TommySoda@lemmy.world 26 points 2 days ago

Already got it downloaded. It's only like 100 - 150 gigabytes or something like that. Got it on my PC, my laptop, and my external hard drive. I don't trust the powers that be to keep it intact anymore so I'd rather have my own copy, even if outdated.

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[–] toeblast96@sh.itjust.works 40 points 1 day ago (1 children)

tbh i somehow didnt even realize that wikipedia is one of the few super popular sites not trying to shove ai down my throat every 5 seconds

i'm grateful now

[–] finitebanjo@lemmy.world 9 points 19 hours ago (1 children)

Don't count your chickens before they hatch, Jimmy Wales founded Wikipedia and already used ChatGPT in a review process once according to this article.

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[–] ColdWater@lemmy.ca 35 points 1 day ago* (last edited 1 day ago)

He can also stick AI inside his own ass

[–] cupcakezealot@piefed.blahaj.zone 27 points 1 day ago (1 children)

if jimmy wales puts ai in wikipedia i stg imma scream

[–] kazerniel@lemmy.world 12 points 1 day ago

The editor community rejected the idea so overwhelmingly, that Wikipedia paused the planned experiment in June, hopefully for good.

[–] logicbomb@lemmy.world 16 points 2 days ago (2 children)

The problem with LLMs and other generative AI is that they're not completely useless. People's jobs are on the line much of the time, so it would really help if they were completely useless, but they're not. Generative AI is certainly not as good as its proponents claim, and critically, when it fucks up, it can be extremely hard for a human to tell, which eats away a lot of their benefits, but they're not completely useless. For the most basic example, give an LLM a block of text and ask it how to improve grammar or to make a point clearer, and then compare the AI generated result with the original, and take whatever parts you think the AI improved.

Everybody knows this, but we're all pretending it's not the case because we're caring people who don't want the world to be drowned in AI hallucinations, we don't want to have the world taken over by confidence tricksters who just fake everything with AI, and we don't want people to lose their jobs. But sometimes, we are so busy pretending that AI is completely useless that we forget that it actually isn't completely useless. The reason they're so dangerous is that they're not completely useless.

[–] ag10n@lemmy.world 9 points 2 days ago

It’s almost as if nuance and context matters.

How much energy does a human use to write a Wikipedia article? Now also measure the accuracy and completeness of the article.

Now do the same for AI.

Objective metrics are what is missing, because much of what we hear is “phd-level inference” and it’s still just a statistical, probabilistic generator.

https://www.pcmag.com/news/with-gpt-5-openai-promises-access-to-phd-level-ai-expertise

[–] spankmonkey@lemmy.world 4 points 2 days ago

It is completely useless as presented by the major players who atrocities trying to jam models that are trying to everything at the same time and that is what we always talk about when discussing AI.

We aren't talking about focused implementations that are Wikipedia to a certain set of data or designed for specific purposes. That is why we don't need nuance, although the reminder that we aren't talking about smaller scale AI used by humans as tools is nice once in a while.

[–] iopq@lemmy.world 13 points 1 day ago (4 children)

Honestly, translating the good articles from other languages would improve Wikipedia immensely.

For example, the Nanjing dialect article is pretty bare in English and very detailed in Mandarin

[–] echodot@feddit.uk 17 points 1 day ago* (last edited 1 day ago) (5 children)

You can do that, that's fine. As long as you can verify it is an accurate translation, so you need to know the subject matter and the target language.

But you could probably also have used Google translate and then just fine tune the output yourself. Anyone could have done that at any point in the last 10 years.

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[–] SkunkWorkz@lemmy.world 4 points 1 day ago

I recently have edited a small wiki page that was obviously written by someone that wasn’t proficient in English. I used AI to just reword what was already written and then I edited the output myself. It did a pretty good job. It was a page about some B-list Indonesian actress that I just stumbled upon and I didn’t want to put time and effort into it but the page really needed work done.

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[–] Caketaco@lemmy.dbzer0.com 13 points 1 day ago (4 children)

Christ, I miss when I could click on an article and not be asked to sign up for it.

[–] tonytins@pawb.social 11 points 1 day ago* (last edited 1 day ago)

Oh, right! Thanks for reminding me. I tried to archive it the last time but it took forever.

Edit. There ya' go: https://archive.is/oWcIr

[–] Yaztromo@lemmy.world 5 points 14 hours ago

You know, I remember way back in the day when…


#Interested in reading the rest of this comment?

Please sign up with your name, DOB, banking information, list of valuables, times you’re away from home, and an outline of your house key to “Yaztromo@lemmy.world”. It’s quick, easy, and fun!


…and that’s why I’m no longer welcome in New Zealand. Crazy!

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[–] pelespirit@sh.itjust.works 12 points 2 days ago

They're trying to get rid of Wikipedia by saying they're shit and doing things you'll hate. Fight for no AI if that's your thing, but read very carefully what's happening. Wikipedia can NOT go away.

[–] HakunaHafada@lemmy.dbzer0.com 11 points 1 day ago
[–] Warl0k3@lemmy.world 5 points 18 hours ago* (last edited 18 hours ago)

So I fed the page to ChatGPT to ask for advice. And I got what seems to me to be pretty good. And so I'm wondering if we might start to think about how a tool like AFCH might be improved so that instead of a generic template, a new editor gets actual advice. It would be better, obviously, if we had lovingly crafted human responses to every situation like this, but we all know that the volunteers who are dealing with a high volume of various situations can't reasonably have time to do it. The templates are helpful - an AI-written note could be even more helpful.

This actually sounds like a plausibly decent use for an LLM. Initial revision to take some of the load off from the human review process isn't a bad idea - he isn't advocating for AI to write articles, just that it can be useful for copy-editing and potentially supplement a system already heavy in Go/No Go evaluations.

Which is weird, really. Jimmy Wales is just fucking awful. I didn't realize he was anatomically capable of not talking out of his ass.

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