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Wikimedia Foundation's plans to introduce AI-generated article summaries to Wikipedia

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  • The vast majority of people in this particular bubble disagree.

    I've found that AI is one of those topics that's extremely polarizing, communities drive out dissenters and so end up with little awareness of what the general attitude in the rest of the world is.

    The problem is that the bubble here are the editors who actually create the site and keep it running, and their "opposition" is the bubble of WMF staff.

  • You mean the bubble of people who don't want a factually incorrect, environmentally damaging shortcut to provide a summary that's largely already being done by someone?
    You're right.

    What an unbiased view. Got any citations?

  • The problem is that the bubble here are the editors who actually create the site and keep it running, and their "opposition" is the bubble of WMF staff.

    The problem is that the bubble here are the editors who actually create the site and keep it running

    No it isn't, it's the technology@lemmy.world Fediverse community.

  • Time to switch to something else? Nutomic developed Ibis wiki for example: https://ibis.wiki/

    You realize this is just a proposal at this stage? Their proposed next step is an experiment:

    If we introduce a pre-generated summary feature as an opt-in feature on a the mobile site of a production wiki, we will be able to measure a clickthrough rate greater than 4%, ensure no negative effects to session length, pageviews, or internal referrals, and use this data to decide how and if we will further scale the summary feature.

    Note, an opt-in clickthrough that they intend to monitor for further information on how to implement features like this and whether they should monitor them at all. As befits Wikipedia, they're planning to base these decisions on evidence.

    If "they're gathering evidence and making proposals" is the threshold for you to jump ship to some other encyclopedia, I guess you do you. It's not going to be much of an exodus though since nobody who actually uses Wikipedia has seen anything change.

  • I don't know if this is an acceptable format for a submission here, but here it goes anyway:

    Wikimedia Foundation has been developing an LLM that would produce simplified Wikipedia article summaries, as described here: https://www.mediawiki.org/wiki/Reading/Web/Content_Discovery_Experiments/Simple_Article_Summaries

    We would like to provide article summaries, which would simplify the content of the articles. This will make content more readable and accessible, and thus easier to discover and learn from. This part of the project focuses only on displaying the summaries. A future experiment will study ways of editing and adjusting this content.

    Currently, much of the encyclopedic quality content is long-form and thus difficult to parse quickly. In addition, it is written at a reading level much higher than that of the average adult. Projects that simplify content, such as Simple English Wikipedia or Basque Txikipedia, are designed to address some of these issues. They do this by having editors manually create simpler versions of articles. However, these projects have so far had very limited success - they are only available in a few languages and have been difficult to scale. In addition, they ask editors to rewrite content that they have already written. This can feel very repetitive.

    In our previous research (Content Simplification), we have identified two needs:

    • The need for readers to quickly get an overview of a given article or page
    • The need for this overview to be written in language the reader can understand

    Etc., you should check the full text yourself. There's a brief video showing how it might look: https://www.youtube.com/watch?v=DC8JB7q7SZc

    This hasn't been met with warm reactions, the comments on the respective talk page have questioned the purposefulness of the tool (shouldn't the introductory paragraphs do the same job already?), and some other complaints have been provided as well:

    Taking a quote from the page for the usability study:

    "Most readers in the US can comfortably read at a grade 5 level,[CN] yet most Wikipedia articles are written in language that requires a grade 9 or higher reading level."

    Also stated on the same page, the study only had 8 participants, most of which did not speak English as their first language. AI skepticism was low among them, with one even mentioning they 'use AI for everything'. I sincerely doubt this is a representative sample and the fact this project is still going while being based on such shoddy data is shocking to me. Especially considering that the current Qualtrics survey seems to be more about how to best implement such a feature as opposed to the question of whether or not it should be implemented in the first place. I don't think AI-generated content has a place on Wikipedia. The Morrison Man (talk) 23:19, 3 June 2025 (UTC)

    The survey the user mentions is this one: https://wikimedia.qualtrics.com/jfe/form/SV_1XiNLmcNJxPeMqq and true enough it pretty much takes for granted that the summaries will be added, there's no judgment of their actual quality, and they're only asking for people's feedback on how they should be presented. I filled it out and couldn't even find the space to say that e.g. the summary they show is written almost insultingly, like it's meant for particularly dumb children, and I couldn't even tell whether it is accurate because they just scroll around in the video.

    Very extensive discussion is going on at the Village Pump (en.wiki).

    The comments are also overwhelmingly negative, some of them pointing out that the summary doesn't summarise the article properly ("Perhaps the AI is hallucinating, or perhaps it's drawing from other sources like any widespread llm. What it definitely doesn't seem to be doing is taking existing article text and simplifying it." - user CMD). A few comments acknowlegde potential benefits of the summaries, though with a significantly different approach to using them:

    I'm glad that WMF is thinking about a solution of a key problem on Wikipedia: most of our technical articles are way too difficult. My experience with AI summaries on Wikiwand is that it is useful, but too often produces misinformation not present in the article it "summarises". Any information shown to readers should be greenlit by editors in advance, for each individual article. Maybe we can use it as inspiration for writing articles appropriate for our broad audience. —Femke 🐦 (talk) 16:30, 3 June 2025 (UTC)

    One of the reasons many prefer chatGPT to Wikipedia is that too large a share of our technical articles are way way too difficult for the intended audience. And we need those readers, so they can become future editors. Ideally, we would fix this ourselves, but my impression is that we usually make articles more difficult, not easier, when they go through GAN and FAC. As a second-best solution, we might try this as long as we have good safeguards in place. —Femke 🐦 (talk) 18:32, 3 June 2025 (UTC)

    Finally, some comments are problematising the whole situation with WMF working behind the actual wikis' backs:

    This is a prime reason I tried to formulate my statement on WP:VPWMF#Statement proposed by berchanhimez requesting that we be informed "early and often" of new developments. We shouldn't be finding out about this a week or two before a test, and we should have the opportunity to inform the WMF if we would approve such a test before they put their effort into making one happen. I think this is a clear example of needing to make a statement like that to the WMF that we do not approve of things being developed in virtual secret (having to go to Meta or MediaWikiWiki to find out about them) and we want to be informed sooner rather than later. I invite anyone who shares concerns over the timeline of this to review my (and others') statements there and contribute to them if they feel so inclined. I know the wording of mine is quite long and probably less than ideal - I have no problem if others make edits to the wording or flow of it to improve it.

    Oh, and to be blunt, I do not support testing this publicly without significantly more editor input from the local wikis involved - whether that's an opt-in logged-in test for people who want it, or what. Regards, -bɜ:ʳkənhɪmez | me | talk to me! 22:55, 3 June 2025 (UTC)

    Again, I recommend reading the whole discussion yourself.

    EDIT: WMF has announced they're putting this on hold after the negative reaction from the editors' community. ("we’ll pause the launch of the experiment so that we can focus on this discussion first and determine next steps together")

    Never thought I’d cancel my recurring donation for them, but just sent the email. I hope they change their mind on this, but as I told them, I will not support this.

  • I don't know if this is an acceptable format for a submission here, but here it goes anyway:

    Wikimedia Foundation has been developing an LLM that would produce simplified Wikipedia article summaries, as described here: https://www.mediawiki.org/wiki/Reading/Web/Content_Discovery_Experiments/Simple_Article_Summaries

    We would like to provide article summaries, which would simplify the content of the articles. This will make content more readable and accessible, and thus easier to discover and learn from. This part of the project focuses only on displaying the summaries. A future experiment will study ways of editing and adjusting this content.

    Currently, much of the encyclopedic quality content is long-form and thus difficult to parse quickly. In addition, it is written at a reading level much higher than that of the average adult. Projects that simplify content, such as Simple English Wikipedia or Basque Txikipedia, are designed to address some of these issues. They do this by having editors manually create simpler versions of articles. However, these projects have so far had very limited success - they are only available in a few languages and have been difficult to scale. In addition, they ask editors to rewrite content that they have already written. This can feel very repetitive.

    In our previous research (Content Simplification), we have identified two needs:

    • The need for readers to quickly get an overview of a given article or page
    • The need for this overview to be written in language the reader can understand

    Etc., you should check the full text yourself. There's a brief video showing how it might look: https://www.youtube.com/watch?v=DC8JB7q7SZc

    This hasn't been met with warm reactions, the comments on the respective talk page have questioned the purposefulness of the tool (shouldn't the introductory paragraphs do the same job already?), and some other complaints have been provided as well:

    Taking a quote from the page for the usability study:

    "Most readers in the US can comfortably read at a grade 5 level,[CN] yet most Wikipedia articles are written in language that requires a grade 9 or higher reading level."

    Also stated on the same page, the study only had 8 participants, most of which did not speak English as their first language. AI skepticism was low among them, with one even mentioning they 'use AI for everything'. I sincerely doubt this is a representative sample and the fact this project is still going while being based on such shoddy data is shocking to me. Especially considering that the current Qualtrics survey seems to be more about how to best implement such a feature as opposed to the question of whether or not it should be implemented in the first place. I don't think AI-generated content has a place on Wikipedia. The Morrison Man (talk) 23:19, 3 June 2025 (UTC)

    The survey the user mentions is this one: https://wikimedia.qualtrics.com/jfe/form/SV_1XiNLmcNJxPeMqq and true enough it pretty much takes for granted that the summaries will be added, there's no judgment of their actual quality, and they're only asking for people's feedback on how they should be presented. I filled it out and couldn't even find the space to say that e.g. the summary they show is written almost insultingly, like it's meant for particularly dumb children, and I couldn't even tell whether it is accurate because they just scroll around in the video.

    Very extensive discussion is going on at the Village Pump (en.wiki).

    The comments are also overwhelmingly negative, some of them pointing out that the summary doesn't summarise the article properly ("Perhaps the AI is hallucinating, or perhaps it's drawing from other sources like any widespread llm. What it definitely doesn't seem to be doing is taking existing article text and simplifying it." - user CMD). A few comments acknowlegde potential benefits of the summaries, though with a significantly different approach to using them:

    I'm glad that WMF is thinking about a solution of a key problem on Wikipedia: most of our technical articles are way too difficult. My experience with AI summaries on Wikiwand is that it is useful, but too often produces misinformation not present in the article it "summarises". Any information shown to readers should be greenlit by editors in advance, for each individual article. Maybe we can use it as inspiration for writing articles appropriate for our broad audience. —Femke 🐦 (talk) 16:30, 3 June 2025 (UTC)

    One of the reasons many prefer chatGPT to Wikipedia is that too large a share of our technical articles are way way too difficult for the intended audience. And we need those readers, so they can become future editors. Ideally, we would fix this ourselves, but my impression is that we usually make articles more difficult, not easier, when they go through GAN and FAC. As a second-best solution, we might try this as long as we have good safeguards in place. —Femke 🐦 (talk) 18:32, 3 June 2025 (UTC)

    Finally, some comments are problematising the whole situation with WMF working behind the actual wikis' backs:

    This is a prime reason I tried to formulate my statement on WP:VPWMF#Statement proposed by berchanhimez requesting that we be informed "early and often" of new developments. We shouldn't be finding out about this a week or two before a test, and we should have the opportunity to inform the WMF if we would approve such a test before they put their effort into making one happen. I think this is a clear example of needing to make a statement like that to the WMF that we do not approve of things being developed in virtual secret (having to go to Meta or MediaWikiWiki to find out about them) and we want to be informed sooner rather than later. I invite anyone who shares concerns over the timeline of this to review my (and others') statements there and contribute to them if they feel so inclined. I know the wording of mine is quite long and probably less than ideal - I have no problem if others make edits to the wording or flow of it to improve it.

    Oh, and to be blunt, I do not support testing this publicly without significantly more editor input from the local wikis involved - whether that's an opt-in logged-in test for people who want it, or what. Regards, -bɜ:ʳkənhɪmez | me | talk to me! 22:55, 3 June 2025 (UTC)

    Again, I recommend reading the whole discussion yourself.

    EDIT: WMF has announced they're putting this on hold after the negative reaction from the editors' community. ("we’ll pause the launch of the experiment so that we can focus on this discussion first and determine next steps together")

  • What an unbiased view. Got any citations?

    The survey results? Did you read the post?

  • I don't know if this is an acceptable format for a submission here, but here it goes anyway:

    Wikimedia Foundation has been developing an LLM that would produce simplified Wikipedia article summaries, as described here: https://www.mediawiki.org/wiki/Reading/Web/Content_Discovery_Experiments/Simple_Article_Summaries

    We would like to provide article summaries, which would simplify the content of the articles. This will make content more readable and accessible, and thus easier to discover and learn from. This part of the project focuses only on displaying the summaries. A future experiment will study ways of editing and adjusting this content.

    Currently, much of the encyclopedic quality content is long-form and thus difficult to parse quickly. In addition, it is written at a reading level much higher than that of the average adult. Projects that simplify content, such as Simple English Wikipedia or Basque Txikipedia, are designed to address some of these issues. They do this by having editors manually create simpler versions of articles. However, these projects have so far had very limited success - they are only available in a few languages and have been difficult to scale. In addition, they ask editors to rewrite content that they have already written. This can feel very repetitive.

    In our previous research (Content Simplification), we have identified two needs:

    • The need for readers to quickly get an overview of a given article or page
    • The need for this overview to be written in language the reader can understand

    Etc., you should check the full text yourself. There's a brief video showing how it might look: https://www.youtube.com/watch?v=DC8JB7q7SZc

    This hasn't been met with warm reactions, the comments on the respective talk page have questioned the purposefulness of the tool (shouldn't the introductory paragraphs do the same job already?), and some other complaints have been provided as well:

    Taking a quote from the page for the usability study:

    "Most readers in the US can comfortably read at a grade 5 level,[CN] yet most Wikipedia articles are written in language that requires a grade 9 or higher reading level."

    Also stated on the same page, the study only had 8 participants, most of which did not speak English as their first language. AI skepticism was low among them, with one even mentioning they 'use AI for everything'. I sincerely doubt this is a representative sample and the fact this project is still going while being based on such shoddy data is shocking to me. Especially considering that the current Qualtrics survey seems to be more about how to best implement such a feature as opposed to the question of whether or not it should be implemented in the first place. I don't think AI-generated content has a place on Wikipedia. The Morrison Man (talk) 23:19, 3 June 2025 (UTC)

    The survey the user mentions is this one: https://wikimedia.qualtrics.com/jfe/form/SV_1XiNLmcNJxPeMqq and true enough it pretty much takes for granted that the summaries will be added, there's no judgment of their actual quality, and they're only asking for people's feedback on how they should be presented. I filled it out and couldn't even find the space to say that e.g. the summary they show is written almost insultingly, like it's meant for particularly dumb children, and I couldn't even tell whether it is accurate because they just scroll around in the video.

    Very extensive discussion is going on at the Village Pump (en.wiki).

    The comments are also overwhelmingly negative, some of them pointing out that the summary doesn't summarise the article properly ("Perhaps the AI is hallucinating, or perhaps it's drawing from other sources like any widespread llm. What it definitely doesn't seem to be doing is taking existing article text and simplifying it." - user CMD). A few comments acknowlegde potential benefits of the summaries, though with a significantly different approach to using them:

    I'm glad that WMF is thinking about a solution of a key problem on Wikipedia: most of our technical articles are way too difficult. My experience with AI summaries on Wikiwand is that it is useful, but too often produces misinformation not present in the article it "summarises". Any information shown to readers should be greenlit by editors in advance, for each individual article. Maybe we can use it as inspiration for writing articles appropriate for our broad audience. —Femke 🐦 (talk) 16:30, 3 June 2025 (UTC)

    One of the reasons many prefer chatGPT to Wikipedia is that too large a share of our technical articles are way way too difficult for the intended audience. And we need those readers, so they can become future editors. Ideally, we would fix this ourselves, but my impression is that we usually make articles more difficult, not easier, when they go through GAN and FAC. As a second-best solution, we might try this as long as we have good safeguards in place. —Femke 🐦 (talk) 18:32, 3 June 2025 (UTC)

    Finally, some comments are problematising the whole situation with WMF working behind the actual wikis' backs:

    This is a prime reason I tried to formulate my statement on WP:VPWMF#Statement proposed by berchanhimez requesting that we be informed "early and often" of new developments. We shouldn't be finding out about this a week or two before a test, and we should have the opportunity to inform the WMF if we would approve such a test before they put their effort into making one happen. I think this is a clear example of needing to make a statement like that to the WMF that we do not approve of things being developed in virtual secret (having to go to Meta or MediaWikiWiki to find out about them) and we want to be informed sooner rather than later. I invite anyone who shares concerns over the timeline of this to review my (and others') statements there and contribute to them if they feel so inclined. I know the wording of mine is quite long and probably less than ideal - I have no problem if others make edits to the wording or flow of it to improve it.

    Oh, and to be blunt, I do not support testing this publicly without significantly more editor input from the local wikis involved - whether that's an opt-in logged-in test for people who want it, or what. Regards, -bɜ:ʳkənhɪmez | me | talk to me! 22:55, 3 June 2025 (UTC)

    Again, I recommend reading the whole discussion yourself.

    EDIT: WMF has announced they're putting this on hold after the negative reaction from the editors' community. ("we’ll pause the launch of the experiment so that we can focus on this discussion first and determine next steps together")

    There's a core problem that many Wikipedia articles are hard for a layperson to read and understand. The statement about reading level is one way to express this.

    The Simple version of articles shows humans can produce readable text. But there aren't enough Simple articles, and the Simple articles are often incomplete.

    I don't think AI should be solely trusted with summarization/translation, but it might have a place in the editing cycle.

  • Looks like the vast majority of people disagree 😧 I do agree that WP should consider ways to make certain articles more approachable to laymen, but this doesn't seem to be the right approach.

    I am pretty rabidly anti-AI in most cases, but the use case for AI that I don’t think is a big negative is the distillation of information for simplification purposes. I am still somewhat against this in the sense that at the end of the day their summarization AI could hallucinate, and since they’ve admitted this is a solution to a problem of scale, then it’s not sensible to assume humans will be able to babysit it.

    However… there is some inherent value to the idea that people will end up using AI to summarize Wikipedia using models of dubious quality with an unknown quantity of intentionally pre-trained bias, and therefore there is some inherent value to training your own model to present the information on your site in a way that is the “most free” of slop and bias.

  • If people use AI to summarize passages of written words to be simpler for those with poor reading skills to be able to more easily comprehend the words, then how are those readers going to improve their poor reading skills?

    Dumbing things down with AI isn't going to make people smarter I bet. This seems like accelerating into Idiocracy

    [...] then how are those readers going to improve their poor reading skills?

    By becoming interested in improving their poor reading skills. You won't make people become interested in that by having everything available only in complex language, it's just going to make them skip over your content. Otherwise there shouldn't be people with poor reading skills, since complex language is already everywhere in life.

  • A lot of them for the small articles and stubs are written very technically and don't provide an explanation for complex subjects if you aren't already familiar with it. Then you have to read 4 subjects down just to figure out the jargon for what they're saying

    Maybe it's a result of Wikipedia trying to be more of an "online encyclopedia" vs a digital information hub or learning resource. I don't think it's a problem on its own but I do think there should be a simplified version of every article.

  • frankly, I'm not quite surprised ._.
    edit: upon reading the article, I now wonder if it's possible for your literacy to go down. I used to be such a bookworm in grade school, but now I have to reread stuff over and over in order to comprehend what's going on.

    You might just be chronically tired or worn down from the stresses of life. It’s pretty common.

    Another thing is as we get older a lot of people will choose more “challenging” adult books and then just be totally bored lol. I read young adult and kids books sometimes (how can I give a book to a child if I haven’t read it myself?) and it’s always surprising to me how they can be ripped through in no time at all.

    But in general I think you’re probably right that literacy can decrease with disuse. It seems like most things about the mind and body trend that way

  • I don't know if this is an acceptable format for a submission here, but here it goes anyway:

    Wikimedia Foundation has been developing an LLM that would produce simplified Wikipedia article summaries, as described here: https://www.mediawiki.org/wiki/Reading/Web/Content_Discovery_Experiments/Simple_Article_Summaries

    We would like to provide article summaries, which would simplify the content of the articles. This will make content more readable and accessible, and thus easier to discover and learn from. This part of the project focuses only on displaying the summaries. A future experiment will study ways of editing and adjusting this content.

    Currently, much of the encyclopedic quality content is long-form and thus difficult to parse quickly. In addition, it is written at a reading level much higher than that of the average adult. Projects that simplify content, such as Simple English Wikipedia or Basque Txikipedia, are designed to address some of these issues. They do this by having editors manually create simpler versions of articles. However, these projects have so far had very limited success - they are only available in a few languages and have been difficult to scale. In addition, they ask editors to rewrite content that they have already written. This can feel very repetitive.

    In our previous research (Content Simplification), we have identified two needs:

    • The need for readers to quickly get an overview of a given article or page
    • The need for this overview to be written in language the reader can understand

    Etc., you should check the full text yourself. There's a brief video showing how it might look: https://www.youtube.com/watch?v=DC8JB7q7SZc

    This hasn't been met with warm reactions, the comments on the respective talk page have questioned the purposefulness of the tool (shouldn't the introductory paragraphs do the same job already?), and some other complaints have been provided as well:

    Taking a quote from the page for the usability study:

    "Most readers in the US can comfortably read at a grade 5 level,[CN] yet most Wikipedia articles are written in language that requires a grade 9 or higher reading level."

    Also stated on the same page, the study only had 8 participants, most of which did not speak English as their first language. AI skepticism was low among them, with one even mentioning they 'use AI for everything'. I sincerely doubt this is a representative sample and the fact this project is still going while being based on such shoddy data is shocking to me. Especially considering that the current Qualtrics survey seems to be more about how to best implement such a feature as opposed to the question of whether or not it should be implemented in the first place. I don't think AI-generated content has a place on Wikipedia. The Morrison Man (talk) 23:19, 3 June 2025 (UTC)

    The survey the user mentions is this one: https://wikimedia.qualtrics.com/jfe/form/SV_1XiNLmcNJxPeMqq and true enough it pretty much takes for granted that the summaries will be added, there's no judgment of their actual quality, and they're only asking for people's feedback on how they should be presented. I filled it out and couldn't even find the space to say that e.g. the summary they show is written almost insultingly, like it's meant for particularly dumb children, and I couldn't even tell whether it is accurate because they just scroll around in the video.

    Very extensive discussion is going on at the Village Pump (en.wiki).

    The comments are also overwhelmingly negative, some of them pointing out that the summary doesn't summarise the article properly ("Perhaps the AI is hallucinating, or perhaps it's drawing from other sources like any widespread llm. What it definitely doesn't seem to be doing is taking existing article text and simplifying it." - user CMD). A few comments acknowlegde potential benefits of the summaries, though with a significantly different approach to using them:

    I'm glad that WMF is thinking about a solution of a key problem on Wikipedia: most of our technical articles are way too difficult. My experience with AI summaries on Wikiwand is that it is useful, but too often produces misinformation not present in the article it "summarises". Any information shown to readers should be greenlit by editors in advance, for each individual article. Maybe we can use it as inspiration for writing articles appropriate for our broad audience. —Femke 🐦 (talk) 16:30, 3 June 2025 (UTC)

    One of the reasons many prefer chatGPT to Wikipedia is that too large a share of our technical articles are way way too difficult for the intended audience. And we need those readers, so they can become future editors. Ideally, we would fix this ourselves, but my impression is that we usually make articles more difficult, not easier, when they go through GAN and FAC. As a second-best solution, we might try this as long as we have good safeguards in place. —Femke 🐦 (talk) 18:32, 3 June 2025 (UTC)

    Finally, some comments are problematising the whole situation with WMF working behind the actual wikis' backs:

    This is a prime reason I tried to formulate my statement on WP:VPWMF#Statement proposed by berchanhimez requesting that we be informed "early and often" of new developments. We shouldn't be finding out about this a week or two before a test, and we should have the opportunity to inform the WMF if we would approve such a test before they put their effort into making one happen. I think this is a clear example of needing to make a statement like that to the WMF that we do not approve of things being developed in virtual secret (having to go to Meta or MediaWikiWiki to find out about them) and we want to be informed sooner rather than later. I invite anyone who shares concerns over the timeline of this to review my (and others') statements there and contribute to them if they feel so inclined. I know the wording of mine is quite long and probably less than ideal - I have no problem if others make edits to the wording or flow of it to improve it.

    Oh, and to be blunt, I do not support testing this publicly without significantly more editor input from the local wikis involved - whether that's an opt-in logged-in test for people who want it, or what. Regards, -bɜ:ʳkənhɪmez | me | talk to me! 22:55, 3 June 2025 (UTC)

    Again, I recommend reading the whole discussion yourself.

    EDIT: WMF has announced they're putting this on hold after the negative reaction from the editors' community. ("we’ll pause the launch of the experiment so that we can focus on this discussion first and determine next steps together")

    I do have concerns about this but it's really all about the usage, not the AI itself. Would the AI version be the only version allowed? Would the summaries get created on the fly for every visitor? Would edits to an AI summary be allowed? Would this get applied to and alter existing summaries?

    I'm totally fine with LLMs and AI as a stop-gap for missing info or a way to coach or critique a human-written summary, but generally I haven't seen good results when AI is allowed to do its thing without a human reviewing or guiding the outputs.

  • [...] then how are those readers going to improve their poor reading skills?

    By becoming interested in improving their poor reading skills. You won't make people become interested in that by having everything available only in complex language, it's just going to make them skip over your content. Otherwise there shouldn't be people with poor reading skills, since complex language is already everywhere in life.

    Nope. Reading skills are improved by being challenged by complex language, and the effort required to learn new words to comprehend it. If the reader is interested in the content, they aren't going to skip it. Dumbing things down only leads to dumbing things down.

    For example, look at all the iPad kids who can't use a computer for shit. Kids who grew up with computers HAD to learn the more complex interface of computers to be able to do the cool things they wanted to do on the computer. Now they don't because they don't have to. Therefore if you get everything dumbed down to 5th Grade reading level, that's where the common denominator will settle. Overcoming that apathy requires a challenge to be a barrier to entry.

  • Nope. Reading skills are improved by being challenged by complex language, and the effort required to learn new words to comprehend it. If the reader is interested in the content, they aren't going to skip it. Dumbing things down only leads to dumbing things down.

    For example, look at all the iPad kids who can't use a computer for shit. Kids who grew up with computers HAD to learn the more complex interface of computers to be able to do the cool things they wanted to do on the computer. Now they don't because they don't have to. Therefore if you get everything dumbed down to 5th Grade reading level, that's where the common denominator will settle. Overcoming that apathy requires a challenge to be a barrier to entry.

    If the reader is interested in the content, they aren't going to skip it.

    But they aren't interested in the content because of the complexity. You may wish that humans work like you describe, but we literally see that they don't.

    What you can do is provide a simplified summary to make people interested, so they're willing to engage with the more complex language to get deeper knowledge around the topic.

    For example, look at all the iPad kids who can't use a computer for shit. Kids who grew up with computers HAD to learn the more complex interface of computers to be able to do the cool things they wanted to do on the computer.

    You're underestimating how many people before the iPad generation also can't use computers because they never developed an interest to engage with the complexity.

  • You might just be chronically tired or worn down from the stresses of life. It’s pretty common.

    Another thing is as we get older a lot of people will choose more “challenging” adult books and then just be totally bored lol. I read young adult and kids books sometimes (how can I give a book to a child if I haven’t read it myself?) and it’s always surprising to me how they can be ripped through in no time at all.

    But in general I think you’re probably right that literacy can decrease with disuse. It seems like most things about the mind and body trend that way

    But in general I think you’re probably right that literacy can decrease with disuse

    Maths is a really good example of this.

    At one point I really enjoyed doing long division in my head but as time goes on (and you don't exercise that sponge...), it becomes lazy.

  • I don't know if this is an acceptable format for a submission here, but here it goes anyway:

    Wikimedia Foundation has been developing an LLM that would produce simplified Wikipedia article summaries, as described here: https://www.mediawiki.org/wiki/Reading/Web/Content_Discovery_Experiments/Simple_Article_Summaries

    We would like to provide article summaries, which would simplify the content of the articles. This will make content more readable and accessible, and thus easier to discover and learn from. This part of the project focuses only on displaying the summaries. A future experiment will study ways of editing and adjusting this content.

    Currently, much of the encyclopedic quality content is long-form and thus difficult to parse quickly. In addition, it is written at a reading level much higher than that of the average adult. Projects that simplify content, such as Simple English Wikipedia or Basque Txikipedia, are designed to address some of these issues. They do this by having editors manually create simpler versions of articles. However, these projects have so far had very limited success - they are only available in a few languages and have been difficult to scale. In addition, they ask editors to rewrite content that they have already written. This can feel very repetitive.

    In our previous research (Content Simplification), we have identified two needs:

    • The need for readers to quickly get an overview of a given article or page
    • The need for this overview to be written in language the reader can understand

    Etc., you should check the full text yourself. There's a brief video showing how it might look: https://www.youtube.com/watch?v=DC8JB7q7SZc

    This hasn't been met with warm reactions, the comments on the respective talk page have questioned the purposefulness of the tool (shouldn't the introductory paragraphs do the same job already?), and some other complaints have been provided as well:

    Taking a quote from the page for the usability study:

    "Most readers in the US can comfortably read at a grade 5 level,[CN] yet most Wikipedia articles are written in language that requires a grade 9 or higher reading level."

    Also stated on the same page, the study only had 8 participants, most of which did not speak English as their first language. AI skepticism was low among them, with one even mentioning they 'use AI for everything'. I sincerely doubt this is a representative sample and the fact this project is still going while being based on such shoddy data is shocking to me. Especially considering that the current Qualtrics survey seems to be more about how to best implement such a feature as opposed to the question of whether or not it should be implemented in the first place. I don't think AI-generated content has a place on Wikipedia. The Morrison Man (talk) 23:19, 3 June 2025 (UTC)

    The survey the user mentions is this one: https://wikimedia.qualtrics.com/jfe/form/SV_1XiNLmcNJxPeMqq and true enough it pretty much takes for granted that the summaries will be added, there's no judgment of their actual quality, and they're only asking for people's feedback on how they should be presented. I filled it out and couldn't even find the space to say that e.g. the summary they show is written almost insultingly, like it's meant for particularly dumb children, and I couldn't even tell whether it is accurate because they just scroll around in the video.

    Very extensive discussion is going on at the Village Pump (en.wiki).

    The comments are also overwhelmingly negative, some of them pointing out that the summary doesn't summarise the article properly ("Perhaps the AI is hallucinating, or perhaps it's drawing from other sources like any widespread llm. What it definitely doesn't seem to be doing is taking existing article text and simplifying it." - user CMD). A few comments acknowlegde potential benefits of the summaries, though with a significantly different approach to using them:

    I'm glad that WMF is thinking about a solution of a key problem on Wikipedia: most of our technical articles are way too difficult. My experience with AI summaries on Wikiwand is that it is useful, but too often produces misinformation not present in the article it "summarises". Any information shown to readers should be greenlit by editors in advance, for each individual article. Maybe we can use it as inspiration for writing articles appropriate for our broad audience. —Femke 🐦 (talk) 16:30, 3 June 2025 (UTC)

    One of the reasons many prefer chatGPT to Wikipedia is that too large a share of our technical articles are way way too difficult for the intended audience. And we need those readers, so they can become future editors. Ideally, we would fix this ourselves, but my impression is that we usually make articles more difficult, not easier, when they go through GAN and FAC. As a second-best solution, we might try this as long as we have good safeguards in place. —Femke 🐦 (talk) 18:32, 3 June 2025 (UTC)

    Finally, some comments are problematising the whole situation with WMF working behind the actual wikis' backs:

    This is a prime reason I tried to formulate my statement on WP:VPWMF#Statement proposed by berchanhimez requesting that we be informed "early and often" of new developments. We shouldn't be finding out about this a week or two before a test, and we should have the opportunity to inform the WMF if we would approve such a test before they put their effort into making one happen. I think this is a clear example of needing to make a statement like that to the WMF that we do not approve of things being developed in virtual secret (having to go to Meta or MediaWikiWiki to find out about them) and we want to be informed sooner rather than later. I invite anyone who shares concerns over the timeline of this to review my (and others') statements there and contribute to them if they feel so inclined. I know the wording of mine is quite long and probably less than ideal - I have no problem if others make edits to the wording or flow of it to improve it.

    Oh, and to be blunt, I do not support testing this publicly without significantly more editor input from the local wikis involved - whether that's an opt-in logged-in test for people who want it, or what. Regards, -bɜ:ʳkənhɪmez | me | talk to me! 22:55, 3 June 2025 (UTC)

    Again, I recommend reading the whole discussion yourself.

    EDIT: WMF has announced they're putting this on hold after the negative reaction from the editors' community. ("we’ll pause the launch of the experiment so that we can focus on this discussion first and determine next steps together")

    Is this the same WiliMedia Foundation who was complaining about AI scrapers in April?

  • Is this the same WiliMedia Foundation who was complaining about AI scrapers in April?

    IIRC, they weren’t trying to stop them—they were trying to get the scrapers to pull the content in a more efficient format that would reduce the overhead on their web servers.

  • If people use AI to summarize passages of written words to be simpler for those with poor reading skills to be able to more easily comprehend the words, then how are those readers going to improve their poor reading skills?

    Dumbing things down with AI isn't going to make people smarter I bet. This seems like accelerating into Idiocracy

    Wikipedia is not made to teach people how to read, it is meant to share knowledge.
    For me, they could even make Wikipedia version with hieroglyphics if that would make understanding content easier

  • I don't know if this is an acceptable format for a submission here, but here it goes anyway:

    Wikimedia Foundation has been developing an LLM that would produce simplified Wikipedia article summaries, as described here: https://www.mediawiki.org/wiki/Reading/Web/Content_Discovery_Experiments/Simple_Article_Summaries

    We would like to provide article summaries, which would simplify the content of the articles. This will make content more readable and accessible, and thus easier to discover and learn from. This part of the project focuses only on displaying the summaries. A future experiment will study ways of editing and adjusting this content.

    Currently, much of the encyclopedic quality content is long-form and thus difficult to parse quickly. In addition, it is written at a reading level much higher than that of the average adult. Projects that simplify content, such as Simple English Wikipedia or Basque Txikipedia, are designed to address some of these issues. They do this by having editors manually create simpler versions of articles. However, these projects have so far had very limited success - they are only available in a few languages and have been difficult to scale. In addition, they ask editors to rewrite content that they have already written. This can feel very repetitive.

    In our previous research (Content Simplification), we have identified two needs:

    • The need for readers to quickly get an overview of a given article or page
    • The need for this overview to be written in language the reader can understand

    Etc., you should check the full text yourself. There's a brief video showing how it might look: https://www.youtube.com/watch?v=DC8JB7q7SZc

    This hasn't been met with warm reactions, the comments on the respective talk page have questioned the purposefulness of the tool (shouldn't the introductory paragraphs do the same job already?), and some other complaints have been provided as well:

    Taking a quote from the page for the usability study:

    "Most readers in the US can comfortably read at a grade 5 level,[CN] yet most Wikipedia articles are written in language that requires a grade 9 or higher reading level."

    Also stated on the same page, the study only had 8 participants, most of which did not speak English as their first language. AI skepticism was low among them, with one even mentioning they 'use AI for everything'. I sincerely doubt this is a representative sample and the fact this project is still going while being based on such shoddy data is shocking to me. Especially considering that the current Qualtrics survey seems to be more about how to best implement such a feature as opposed to the question of whether or not it should be implemented in the first place. I don't think AI-generated content has a place on Wikipedia. The Morrison Man (talk) 23:19, 3 June 2025 (UTC)

    The survey the user mentions is this one: https://wikimedia.qualtrics.com/jfe/form/SV_1XiNLmcNJxPeMqq and true enough it pretty much takes for granted that the summaries will be added, there's no judgment of their actual quality, and they're only asking for people's feedback on how they should be presented. I filled it out and couldn't even find the space to say that e.g. the summary they show is written almost insultingly, like it's meant for particularly dumb children, and I couldn't even tell whether it is accurate because they just scroll around in the video.

    Very extensive discussion is going on at the Village Pump (en.wiki).

    The comments are also overwhelmingly negative, some of them pointing out that the summary doesn't summarise the article properly ("Perhaps the AI is hallucinating, or perhaps it's drawing from other sources like any widespread llm. What it definitely doesn't seem to be doing is taking existing article text and simplifying it." - user CMD). A few comments acknowlegde potential benefits of the summaries, though with a significantly different approach to using them:

    I'm glad that WMF is thinking about a solution of a key problem on Wikipedia: most of our technical articles are way too difficult. My experience with AI summaries on Wikiwand is that it is useful, but too often produces misinformation not present in the article it "summarises". Any information shown to readers should be greenlit by editors in advance, for each individual article. Maybe we can use it as inspiration for writing articles appropriate for our broad audience. —Femke 🐦 (talk) 16:30, 3 June 2025 (UTC)

    One of the reasons many prefer chatGPT to Wikipedia is that too large a share of our technical articles are way way too difficult for the intended audience. And we need those readers, so they can become future editors. Ideally, we would fix this ourselves, but my impression is that we usually make articles more difficult, not easier, when they go through GAN and FAC. As a second-best solution, we might try this as long as we have good safeguards in place. —Femke 🐦 (talk) 18:32, 3 June 2025 (UTC)

    Finally, some comments are problematising the whole situation with WMF working behind the actual wikis' backs:

    This is a prime reason I tried to formulate my statement on WP:VPWMF#Statement proposed by berchanhimez requesting that we be informed "early and often" of new developments. We shouldn't be finding out about this a week or two before a test, and we should have the opportunity to inform the WMF if we would approve such a test before they put their effort into making one happen. I think this is a clear example of needing to make a statement like that to the WMF that we do not approve of things being developed in virtual secret (having to go to Meta or MediaWikiWiki to find out about them) and we want to be informed sooner rather than later. I invite anyone who shares concerns over the timeline of this to review my (and others') statements there and contribute to them if they feel so inclined. I know the wording of mine is quite long and probably less than ideal - I have no problem if others make edits to the wording or flow of it to improve it.

    Oh, and to be blunt, I do not support testing this publicly without significantly more editor input from the local wikis involved - whether that's an opt-in logged-in test for people who want it, or what. Regards, -bɜ:ʳkənhɪmez | me | talk to me! 22:55, 3 June 2025 (UTC)

    Again, I recommend reading the whole discussion yourself.

    EDIT: WMF has announced they're putting this on hold after the negative reaction from the editors' community. ("we’ll pause the launch of the experiment so that we can focus on this discussion first and determine next steps together")

    I'm ok with auto generated content, but only if it is clearly separated from human generated content, can be disabled at any time and writing main articles with AI is forbidden

  • 16 Stimmen
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    Even with pirated Spotify the worsening of recommendations pushed me to pirate another service. Which is a win for Spotify, I guess.
  • A receipt printer cured my procrastination [ADHD]

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    cygnosis@lemmy.worldC
    Good to know. Also an easy problem to fix. Just use phenol free paper.
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    arararagi@ani.socialA
    Because artists are still there.
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    If you're a developer, a startup founder, or part of a small team, you've poured countless hours into building your web application. You've perfected the UI, optimized the database, and shipped features your users love. But in the rush to build and deploy, a critical question often gets deferred: is your application secure? For many, the answer is a nervous "I hope so." The reality is that without a proper defense, your application is exposed to a barrage of automated attacks hitting the web every second. Threats like SQL Injection, Cross-Site Scripting (XSS), and Remote Code Execution are not just reserved for large enterprises; they are constant dangers for any application with a public IP address. The Security Barrier: When Cost and Complexity Get in the Way The standard recommendation is to place a Web Application Firewall (WAF) in front of your application. A WAF acts as a protective shield, inspecting incoming traffic and filtering out malicious requests before they can do any damage. It’s a foundational piece of modern web security. So, why doesn't everyone have one? Historically, robust WAFs have been complex and expensive. They required significant budgets, specialized knowledge to configure, and ongoing maintenance, putting them out of reach for students, solo developers, non-profits, and early-stage startups. This has created a dangerous security divide, leaving the most innovative and resource-constrained projects the most vulnerable. But that is changing. Democratizing Security: The Power of a Community WAF Security should be a right, not a privilege. Recognizing this, the landscape is shifting towards more accessible, community-driven tools. The goal is to provide powerful, enterprise-grade protection to everyone, for free. This is the principle behind the HaltDos Community WAF. It's a no-cost, perpetually free Web Application Firewall designed specifically for the community that has been underserved for too long. It’s not a stripped-down trial version; it’s a powerful security tool designed to give you immediate and effective protection against the OWASP Top 10 and other critical web threats. What Can You Actually Do with It? With a community WAF, you can deploy a security layer in minutes that: Blocks Malicious Payloads: Get instant, out-of-the-box protection against common attack patterns like SQLi, XSS, RCE, and more. Stops Bad Bots: Prevent malicious bots from scraping your content, attempting credential stuffing, or spamming your forms. Gives You Visibility: A real-time dashboard shows you exactly who is trying to attack your application and what methods they are using, providing invaluable security intelligence. Allows Customization: You can add your own custom security rules to tailor the protection specifically to your application's logic and technology stack. The best part? It can be deployed virtually anywhere—on-premises, in a private cloud, or with any major cloud provider like AWS, Azure, or Google Cloud. Get Started in Minutes You don't need to be a security guru to use it. The setup is straightforward, and the value is immediate. Protecting the project, you've worked so hard on is no longer a question of budget. Download: Get the free Community WAF from the HaltDos site. Deploy: Follow the simple instructions to set it up with your web server (it’s compatible with Nginx, Apache, and others). Secure: Watch the dashboard as it begins to inspect your traffic and block threats in real-time. Security is a journey, but it must start somewhere. For developers, startups, and anyone running a web application on a tight budget, a community WAF is the perfect first step. It's powerful, it's easy, and it's completely free.
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    that sub seems to be fully brigaded by bots from marketing team of closed-ai and preplexity
  • Forced E-Waste PCs And The Case Of Windows 11’s Trusted Platform

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    K
    I was pretty lucky in university as most of my profs were either using cross platform stuff or Linux exclusive software. I had a single class that wanted me using windows stuff and I just dropped that one. Awesome that you're getting back into it, it's definitely the best it's ever been (and you're right that Steam cracked the code). It sounds like you probably know what you're doing if you're running Linux VMs and stuff, but feel free to shoot me a PM if you run into any questions or issues I might be able to point you in the right direction for.
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    Yeah, but that's a secondary attribute. The new ones are stupid front and center.
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    Outlook.... Ok Pretty solid Bahaha hahahahaha Sorry. Outlook is a lot of things. "Gooey crap" would be one way to describe it, but "solid"? Yeah, no. Gmail is (well, was) pretty solid. There are a lot of other webmail providers out there, including self hosted options and most are pretty solid, yeah. Outlook, though? It's a shit show, it's annoying. Do you love me? Please love me, please give feedback, please give feedback again, please look at this, hey am I the best? Am I.. STFU YOU PIECE OF CRAP! Can you PLEASE just let me do my email without being an attention whore every hour? Even down to the basics. Back button? "What is that? Never heard of it, can't go back to the message I just was on because I'm Microsoft software and so half baked." Having two tabs open? "Oh noes, now I get scawed, now I don't know how to manage sessions anymore, better just sign you out everywhere." What is it with Microsoft and not being able to do something basic as sessions normal? I'm not even asking for good, definitely not "awesome", just normal, and that is already too much to ask. Try running it in Firefox! I'm sure it's totally not on purpose, just "oopsie woopsie poopsie" accidentally bwoken. Maybe it's working again today, who knows, tomorrow it'll be broken again. I run everything on Firefox except the Microsoft sites, they have to be in chrome because fuck you, that's why. Seriously, I can't take any Microsoft software seriously at this point, and all of it is on its way out in our company, I'm making sure of that