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

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  • 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.

  • 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")

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

  • It's actually true. 56% of Americans are "partially illiterate", which explains a lot about the state of affairs in that country.

    In 2023, 28% of adults scored at or below Level 1, 29% at Level 2, and 44% at Level 3 or above. Anything below Level 3 is considered "partially illiterate"

    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.

  • 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?

  • 1k Stimmen
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    anzo@programming.devA
    Just an update, I learnt that GrapheneOS developers are 'aggressive' towards other FLOSS projects (following comments on other thread, but you can searx grepheneos+controversy and see for yourselves). So now, I might just prefer an FP6.
  • YouTube Will Add an AI Slop Button Thanks to Google’s Veo 3

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    anunusualrelic@lemmy.worldA
    "One slop please"
  • Is Matrix cooked?

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    W
    Didn't know it only applied to UWP apps on Windows. That does seem like a pretty big problem then. it is mostly for compatibility reasons. no win32 programs are equipped to handle such granular permissions and sandboxing, they are all made with the assumption that they have access to whatever they need (other than other users' resources and things that require elevation). if Microsoft would have made that limitation to every kind of software, that Windows version would have probably been a failure in popularity because lots of software would have broken. I think S editions of windows is how they tried to go in that direction, with a more drastic way of simply just dropping support for 3rd party win32 programs. I don't still have a Mac readily available to test with but afaik it is any application that uses Apple's packaging format. ok, so if you run linux or windows utils in a compatibility layer, they still have less of a limited access? by which I mean graphical utilities. just tried with firefox, for macos it wanted to give me an .iso file (???) if so, it seems apple is doing roughly the same as microsoft with uwp and the appx format, and linux with flatpak: it's a choice for the user
  • Why doesn't Nvidia have more competition?

    Technology technology
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    B
    It’s funny how the article asks the question, but completely fails to answer it. About 15 years ago, Nvidia discovered there was a demand for compute in datacenters that could be met with powerful GPU’s, and they were quick to respond to it, and they had the resources to focus on it strongly, because of their huge success and high profitability in the GPU market. AMD also saw the market, and wanted to pursue it, but just over a decade ago where it began to clearly show the high potential for profitability, AMD was near bankrupt, and was very hard pressed to finance developments on GPU and compute in datacenters. AMD really tried the best they could, and was moderately successful from a technology perspective, but Nvidia already had a head start, and the proprietary development system CUDA was already an established standard that was very hard to penetrate. Intel simply fumbled the ball from start to finish. After a decade of trying to push ARM down from having the mobile crown by far, investing billions or actually the equivalent of ARM’s total revenue. They never managed to catch up to ARM despite they had the better production process at the time. This was the main focus of Intel, and Intel believed that GPU would never be more than a niche product. So when intel tried to compete on compute for datacenters, they tried to do it with X86 chips, One of their most bold efforts was to build a monstrosity of a cluster of Celeron chips, which of course performed laughably bad compared to Nvidia! Because as it turns out, the way forward at least for now, is indeed the massively parralel compute capability of a GPU, which Nvidia has refined for decades, only with (inferior) competition from AMD. But despite the lack of competition, Nvidia did not slow down, in fact with increased profits, they only grew bolder in their efforts. Making it even harder to catch up. Now AMD has had more money to compete for a while, and they do have some decent compute units, but Nvidia remains ahead and the CUDA problem is still there, so for AMD to really compete with Nvidia, they have to be better to attract customers. That’s a very tall order against Nvidia that simply seems to never stop progressing. So the only other option for AMD is to sell a bit cheaper. Which I suppose they have to. AMD and Intel were the obvious competitors, everybody else is coming from even further behind. But if I had to make a bet, it would be on Huawei. Huawei has some crazy good developers, and Trump is basically forcing them to figure it out themselves, because he is blocking Huawei and China in general from using both AMD and Nvidia AI chips. And the chips will probably be made by Chinese SMIC, because they are also prevented from using advanced production in the west, most notably TSMC. China will prevail, because it’s become a national project, of both prestige and necessity, and they have a massive talent mass and resources, so nothing can stop it now. IMO USA would clearly have been better off allowing China to use American chips. Now China will soon compete directly on both production and design too.
  • 2k Stimmen
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    S
    Tokyo banned diesel motors in the late 90s. As far as I know that didn't kill Toyota. At the same time European car makers started to lobby for particle filters that were supposed to solve everything. The politics who where naive enough to believe them do share responsibility, but not as much as the european auto industry that created this whole situation. Also, you implies that laws are made by politicians without any intervention of the industries whatsoever. I think you know that it is not how it works.
  • Bookmark keywords, again (Firefox)

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    bokehphilia@lemmy.mlB
    This is terrible news. I also have a keyboard-centric workflow and also make heavy use of keyword bookmarks. I too use custom bookmarklets containing JavaScript that I can invoke with a few key strokes for multiple uses including: 1: Auto-expanding all nested Reddit comments on posts with many comments on desktop. 2: Downloading videos from certain web sites. 3: Playing a play-by-forum online board game. 4: Helping expand and aid in downloading images from a certain host. 5: Sending X (Twitter) URLs in the browser bar to Nitter or TWStalker. And all these without touching the mouse! It's really disappointing to read that Firefox could be taking so much capability in the browser away.
  • 44 Stimmen
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    G
    It varies based on local legislation, so in some places paying ransoms is banned but it's by no means universal. It's totally valid to be against paying ransoms wherever possible, but it's not entirely black and white in some situations. For example, what if a hospital gets ransomed? Say they serve an area not served by other facilities, and if they can't get back online quickly people will die? Sounds dramatic, but critical public services get ransomed all the time and there are undeniable real world consequences. Recovery from ransomware can cost significantly more than a ransom payment if you're not prepared. It can also take months to years to recover, especially if you're simultaneously fighting to evict a persistent (annoyed, unpaid) threat actor from your environment. For the record I don't think ransoms should be paid in most scenarios, but I do think there is some nuance to consider here.
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    M
    Sure thing! So glad I could be helpful! I don't blame you. It's the only thing I'm keeping a Win10 dual-boot for right now, and to their credit, it does work quite well in Windows. We've had a ton of fun with our set. In the meantime, I'm keeping up with the project but not actively tinkering with it myself, because it's exciting but also not quite there yet. It's at least given me hope that it can be done though! I'm confident we'll see significant gains sooner rather than later. Hats off to them. (Once my income stabilizes I'll gotta pitch them some funds...) Envision has made it VERY convenient to get set up, but the whole process still saps more time than "Fire it up and play." So maybe play with it at some point, but either way definitely keep your ear to the ground. I'm hoping in the future we'll get to use it for things like Godot XR or Blender integration.