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What Happens When AI-Generated Lies Are More Compelling than the Truth?

Technology
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  • Fake photographs have been around as long as photographs have been around. A widely circulated picture of Abraham Lincoln taken during the presidential campaign of 1860 was subtly altered by the photographer, Mathew Brady, to make the candidate appear more attractive. Brady enlarged Lincoln’s shirt collar, for instance, to hide his bony neck and bulging Adam’s apple.

    In a photographic portrait made to memorialize the president after his assassination, the artist Thomas Hicks transposed Lincoln’s head onto a more muscular man’s body to make the fallen president look heroic. (The body Hicks chose, perversely enough, was that of the proslavery zealot John C. Calhoun.)

    By the close of the nineteenth century, photographic negatives were routinely doctored in darkrooms, through such techniques as double exposure, splicing, and scraping and inking. Subtly altering a person’s features to obscure or exaggerate ethnic traits was particularly popular, for cosmetic and propagandistic purposes alike.

    But the old fakes were time-consuming to create and required specialized expertise. The new AI-generated “deepfakes” are different. By automating their production, tools like Midjourney and OpenAI’s DALL-E make the images easy to generate—you need only enter a text prompt. They democratize counterfeiting. Even more worrisome than the efficiency of their production is the fact that the fakes conjured up by artificial intelligence lack any referents in the real world. There’s no trail behind them that leads back to a camera recording an image of something that actually exists. There’s no original that was doctored. The fakes come out of nowhere. They furnish no evidence.

    Many fear that deepfakes, so convincing and so hard to trace, make it even more likely that people will be taken in by lies and propaganda on social media. A series of computer-generated videos featuring a strikingly realistic but entirely fabricated Tom Cruise fooled millions of unsuspecting viewers when it appeared on TikTok in 2021. The Cruise clips were funny. That wasn’t the case with the fake, sexually explicit images of celebrities that began flooding social media in 2024. In January, X was so overrun by pornographic, AI-generated pictures of Taylor Swift that it had to temporarily block users from searching the singer’s name.

  • Fake photographs have been around as long as photographs have been around. A widely circulated picture of Abraham Lincoln taken during the presidential campaign of 1860 was subtly altered by the photographer, Mathew Brady, to make the candidate appear more attractive. Brady enlarged Lincoln’s shirt collar, for instance, to hide his bony neck and bulging Adam’s apple.

    In a photographic portrait made to memorialize the president after his assassination, the artist Thomas Hicks transposed Lincoln’s head onto a more muscular man’s body to make the fallen president look heroic. (The body Hicks chose, perversely enough, was that of the proslavery zealot John C. Calhoun.)

    By the close of the nineteenth century, photographic negatives were routinely doctored in darkrooms, through such techniques as double exposure, splicing, and scraping and inking. Subtly altering a person’s features to obscure or exaggerate ethnic traits was particularly popular, for cosmetic and propagandistic purposes alike.

    But the old fakes were time-consuming to create and required specialized expertise. The new AI-generated “deepfakes” are different. By automating their production, tools like Midjourney and OpenAI’s DALL-E make the images easy to generate—you need only enter a text prompt. They democratize counterfeiting. Even more worrisome than the efficiency of their production is the fact that the fakes conjured up by artificial intelligence lack any referents in the real world. There’s no trail behind them that leads back to a camera recording an image of something that actually exists. There’s no original that was doctored. The fakes come out of nowhere. They furnish no evidence.

    Many fear that deepfakes, so convincing and so hard to trace, make it even more likely that people will be taken in by lies and propaganda on social media. A series of computer-generated videos featuring a strikingly realistic but entirely fabricated Tom Cruise fooled millions of unsuspecting viewers when it appeared on TikTok in 2021. The Cruise clips were funny. That wasn’t the case with the fake, sexually explicit images of celebrities that began flooding social media in 2024. In January, X was so overrun by pornographic, AI-generated pictures of Taylor Swift that it had to temporarily block users from searching the singer’s name.

    This is 90% hyperbole. As always, believe none of what you hear and only half of what you see. We live most of our lives responding to shit we personally witnessed. Trust your senses. Of course the other part is a matter for concern, but not like the apocalyptic crowd would tell you.

    It is always a safe bet that the snake oil salespeople are, once again, selling snake oil.

  • This is 90% hyperbole. As always, believe none of what you hear and only half of what you see. We live most of our lives responding to shit we personally witnessed. Trust your senses. Of course the other part is a matter for concern, but not like the apocalyptic crowd would tell you.

    It is always a safe bet that the snake oil salespeople are, once again, selling snake oil.

    believe none of what you hear and only half of what you see.

    This has caused a huge amount of problems in the last decade or so, and isn't necessarily something to celebrate.

  • believe none of what you hear and only half of what you see.

    This has caused a huge amount of problems in the last decade or so, and isn't necessarily something to celebrate.

    Yep because in the end you‘ll believe in something regardless and that something is whatever sits right with you more often than not.

  • This is 90% hyperbole. As always, believe none of what you hear and only half of what you see. We live most of our lives responding to shit we personally witnessed. Trust your senses. Of course the other part is a matter for concern, but not like the apocalyptic crowd would tell you.

    It is always a safe bet that the snake oil salespeople are, once again, selling snake oil.

    The trick is, snake oil salesmen exist because there are customers. You might be smart enough to spot them coming, but many, many, many people are not. Being dismissive of scamming as an issue because you can spot them is like being dismissive of drownings because you know how to swim. It ignores the harm to your world done by having others around you destroyed, sometimes because they are cocky and hubristic, sometimes just because they were caught in a weak moment, just a bit too tired to notice the difference between rn and m in an email address.

  • Fake photographs have been around as long as photographs have been around. A widely circulated picture of Abraham Lincoln taken during the presidential campaign of 1860 was subtly altered by the photographer, Mathew Brady, to make the candidate appear more attractive. Brady enlarged Lincoln’s shirt collar, for instance, to hide his bony neck and bulging Adam’s apple.

    In a photographic portrait made to memorialize the president after his assassination, the artist Thomas Hicks transposed Lincoln’s head onto a more muscular man’s body to make the fallen president look heroic. (The body Hicks chose, perversely enough, was that of the proslavery zealot John C. Calhoun.)

    By the close of the nineteenth century, photographic negatives were routinely doctored in darkrooms, through such techniques as double exposure, splicing, and scraping and inking. Subtly altering a person’s features to obscure or exaggerate ethnic traits was particularly popular, for cosmetic and propagandistic purposes alike.

    But the old fakes were time-consuming to create and required specialized expertise. The new AI-generated “deepfakes” are different. By automating their production, tools like Midjourney and OpenAI’s DALL-E make the images easy to generate—you need only enter a text prompt. They democratize counterfeiting. Even more worrisome than the efficiency of their production is the fact that the fakes conjured up by artificial intelligence lack any referents in the real world. There’s no trail behind them that leads back to a camera recording an image of something that actually exists. There’s no original that was doctored. The fakes come out of nowhere. They furnish no evidence.

    Many fear that deepfakes, so convincing and so hard to trace, make it even more likely that people will be taken in by lies and propaganda on social media. A series of computer-generated videos featuring a strikingly realistic but entirely fabricated Tom Cruise fooled millions of unsuspecting viewers when it appeared on TikTok in 2021. The Cruise clips were funny. That wasn’t the case with the fake, sexually explicit images of celebrities that began flooding social media in 2024. In January, X was so overrun by pornographic, AI-generated pictures of Taylor Swift that it had to temporarily block users from searching the singer’s name.

    The thing about compelling lies is not that they are new, just that they are easier to expand. The most common effect of compelling lies is their ability to get well-intentioned people to support malign causes and give their money to fraudsters. So, expect that to expand, kind of like it already has been.

    The big question for me is what the response will be. Will we make lying illegal? Will we become a world of ever more paranoid isolationists, returning to clans, families, households, as the largest social group you can trust? Will most people even have the intelligence to see what is happenning and respond? Or will most people be turned into info-puppets, controlled into behaviours by manipulation of their information diet to an unprecedented degree? I don't know.

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  • Judge backs AI firm over use of copyrighted books

    Technology technology
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    154 Aufrufe
    artisian@lemmy.worldA
    The students read Tolkien, then invent their own settings. The judge thinks this is similar to how claude works. I, nor I suspect the judge, meant that the students were reusing world building whole cloth.
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  • Why doesn't Nvidia have more competition?

    Technology technology
    22
    1
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    71 Aufrufe
    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.
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  • Bookmark keywords, again (Firefox)

    Technology technology
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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.
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    toastedravioli@midwest.socialT
    Im all for making the traditional market more efficient and transparent, if blockchain can accommodate that, so long as we can also make crypto more like the traditional market. At least in terms of criminalizing shit that would obviously be illegal to do with securities