#generatedimages — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #generatedimages, aggregated by home.social.
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"NewsGuard used its proprietary database of false claims that have spread online to test whether Nano Banana Pro would reject prompts aimed at furthering falsehoods. NewsGuard tested 30 false claims that recently circulated online — five each related to public health topics, U.S. politics, European politics, the Middle East, global brands, and Russian influence operations.
Nano Banana Pro produced convincing images for every false claim. And sometimes it even added details not included in NewsGuard’s prompts to make the images appear even more credible. The images generated by Nano Banana Pro depicting false claims included one of a supposed Russian passport for Ukrainian President Volodymyr Zelensky, a graph showing that measles infections provide long-term protection against cancer, and an image of a news broadcast showing Donald Trump supposedly announcing that the U.S. had removed all tariffs on China.
These findings indicate that with minimal effort and no technical expertise, malign actors could use Google’s new tool to spread false claims at scale, enhanced with images far more realistic and persuasive than those typically used in online disinformation campaigns.
Nano Banana Pro does include a visible watermark in the bottom left corner of its images, as well as what a Google press release describes as an “imperceptible,” embedded digital watermark called SynthID, allowing AI detection models to identify images produced by the model. However, the visible watermark can easily be cropped out of generated images, NewsGuard found, and unsuspecting observers of online images may lack access to AI-detection models that scan for SynthID."
https://www.newsguardrealitycheck.com/p/google-new-ai-image-generator-misinformation-superspreader
#AI #GenerativeAI #GeneratedImages #Google #NanoBanana #NanoBananaPro #Disinformation
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"In 2023, a group of documentary producers formed the Archival Producers Alliance and published an open letter to their industry calling for greater transparency, listing ways generative A.I had been used without disclosure.
A film still shows a man in an open-collar dark shirt standing next to softly rippling water. The image is suffused in gold tones.
The Anthony Bourdain documentary “Roadrunner” ran into trouble when it didn’t disclose that several lines of voice-over by the chef had been generated via artificial
You might be shocked by what they pointed out: artificially created historical voices, which lead audiences “to believe they are hearing authentic primary sources when they are not”; “A.I.-generated ‘historical’ images”; “fake newspaper articles”; and “nonexistent historical artifacts.”
In other words, you may have watched a documentary in the last few years and thought what you were seeing was real — but it wasn’t.
Of course we’re all aware that what we see in a video or a movie isn’t necessarily “real.” We know about C.G.I. and camera trickery and the ability to manipulate images. But until very recently, it took a fair amount of skill, or at least time and money, to make realistic fake videos. You would need the resources of a Hollywood studio, and even then it might look a little janky.
But with documentaries, there’s also a kind of social contract. We believe that what they show us happened, with some exceptions. Re-enactments have become more common in recent years, but filmmakers have developed a visual vocabulary for those staged scenes: they’re dreamy, a little blurry, usually faceless. You immediately know what you’re looking at, because it doesn’t look “real.”
These conventions exist to preserve our trust in what we’re viewing."
https://www.nytimes.com/2025/11/18/movies/documentary-filmmaking-ai-trust.html
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"OpenAI’s video generation tool, Sora, can create high-definition clips of just about anything you could ask for — a breakthrough in artificial intelligence expected to transform the entertainment industry.
But whose data OpenAI used to create its groundbreaking system is a mystery.
With ChatGPT, OpenAI helped popularize the now-standard industry practice of building more capable AI tools by scraping vast quantities of text from the web without consent.
With Sora, launched in December, OpenAI staff said they built a pioneering video generator by taking a similar approach. They developed ways to feed the system more online video — in more varied formats — including vertical videos and longer, higher-resolution clips.
“You want to use all the data in its native format that exists,” Tim Brooks, the project’s then co-lead, said at an AI hackathon in April 2024. But OpenAI has not specified which videos it grabbed to make Sora, saying only that it combined “publicly available and licensed data.”
To explore what content OpenAI may have used, The Washington Post used Sora to create hundreds of videos that show it can closely mimic movies, TV shows and other content. The accuracy of the tool’s re-creations suggests Sora had been trained on a version of the originals, experts said. The Post has a content partnership with OpenAI."
https://www.washingtonpost.com/technology/interactive/2025/openai-training-data-sora/
#AI #GenerativeAI #GeneratedImages #OpenAI #AITraining #Sora
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"OpenAI wants to prove that generative artificial intelligence can make movies faster and cheaper than Hollywood does today.
The startup is lending its tools and computing resources to the creation of a feature-length animated movie made largely with AI that is expected to be released in theaters globally next year.
“Critterz,” about forest creatures who go on an adventure after their village is disrupted by a stranger, is the brainchild of Chad Nelson, a creative specialist at OpenAI. Nelson started sketching out the characters three years ago while trying to make a short film with what was then OpenAI’s new DALL-E image-generation tool.
Now, he has teamed up with production companies in London and Los Angeles, aiming to debut a feature-length version of the film at the Cannes Film Festival in May.
The team is attempting to make the movie in about nine months instead of the three years it would typically take, said James Richardson, co-founder of London-based Vertigo Films. Vertigo is producing the film along with Native Foreign, a studio that specializes in using AI along with traditional video-production tools."
https://www.wsj.com/tech/ai/openai-backs-ai-made-animated-feature-film-389f70b0
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"Warner Bros. Discovery is suing a prominent artificial intelligence image generator for copyright infringement, escalating a high-stakes battle involving the use of movies and TV shows owned by major studios to teach AI systems.
The lawsuit accuses Midjourney, which has millions of registered users, of building its business around the mass theft of content. The company “brazenly dispenses Warner Bros. Discovery’s intellectual property” by letting subscribers produce images and videos of iconic copyrighted characters, alleges the complaint, filed on Thursday in California federal court.
“The heart of what we do is develop stories and characters to entertain our audiences, bringing to life the vision and passion of our creative partners,” said a Warner Bros. Discovery spokesperson in a statement. “Midjourney is blatantly and purposefully infringing copyrighted works, and we filed this suit to protect our content, our partners, and our investments.”
For years, AI companies have been training their technology on data scraped across the internet without compensating creators. It’s led to lawsuits from authors, record labels, news organizations, artists and studios, which contend that some AI tools erode demand for their content.
Warner Bros. Discovery joins Disney and Universal, which earlier this year teamed up to sue Midjourney. By their thinking, the AI company is a free-rider plagiarizing their movies and TV shows."
#AI #GenerativeAI #GeneratedImages #WarnerBros #Discovery #Midjourney #Copyright #IP
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"The new diffusion-based image generator works by first using a digital encoder (that has been trained on publicly available datasets) to create the static that will ultimately make the picture. This requires a small amount of energy. Then, a liquid crystal screen known as a spatial light modulator (SLM) imprints this pattern onto a laser beam. The beam is then passed through a second decoding SLM, which turns the pattern in the laser into the final image.
Unlike conventional AI, which relies on millions of computer calculations, this process uses light to do all the heavy lifting. Consequently, the system uses almost no power. "Our optical generative models can synthesize countless images with almost no computing power, offering a scalable and energy-efficient alternative to digital AI models," said Shiqi Chen, lead author.
The researchers tested their system on various images used to train AI models, including those of celebrities and butterflies, as well as full-color pictures in the style of Dutch painter Vincent Van Gogh.
The results were comparable to those of conventional image generators, but were created with much less energy. This breakthrough has the potential to reduce the carbon footprint of AI-generated content significantly."
https://techxplore.com/news/2025-08-ai-breakthrough-power-images.html
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"Regardless, it would be a categorical mistake to see AI as the next iteration of those earlier paradigm shifts. While I can imagine practical applications of AI (storyboarding comes to mind), it isn’t just another tool at a filmmaker’s disposal or an effective way of democratizing the filmmaking process itself — though Radu Jude’s forthcoming “Dracula” actively uses it as both in order to highlight the technology’s fundamentally vampiric nature. It doesn’t streamline or emphasize human creativity so much as it insists that we’ve had enough of that already, and the algorithms can take it from here.
The perfect form of expression for people who think memes are the ultimate height of comedy, AI doesn’t allow for a world with more artists, it allows the tech industry to create a world that ostensibly doesn’t need them. As “Everything Everywhere All at Once” co-director Daniel Kwan so elegantly put it at a recent event in West Hollywood, AI less represents a new form of storytelling than it does an invasive species to the concept of storytelling itself. It’s a wasp, not a bee. And with all due respect to Mr. Ben Mankiewicz, using AI to preserve the magic of “The Wizard of Oz” is like using cancer to preserve the function of a pancreas.
Which is all the more reason why I take issue with Mankiewicz’s assertion that Fleming would have — not might have — Sphere-ified his masterpiece if only he had the technology to do so. That AI is somehow restoring “The Wizard of Oz” rather than eating away at its essence. It’s an argument that presumes authorial intent as a means of inviting people to override it."
https://www.indiewire.com/criticism/movies/movies-should-reject-ai-wizard-of-oz-sphere-1235142276/
#AI #GenerativeAI #GeneratedImages #Hollywood #Movies #Film #Cinema
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"There are certainly some people who oppose AI completely, and who see even the supposed benefits of AI as little more than “bribes” designed to distract people from the overwhelming harms AI causes. But, in fairness, much more of the inchoate opposition to AI seems to be less about an outright rejection of AI, and more about a sense that there are appropriate and inappropriate areas for AI usage. Or, to put it a different way: there are lots of people who have no problem with AI being used to help with things like cancer detection, but who are worried that AI is harming students’ ability to think; similarly there are people who are willing to believe that AI can be used to make certain processes more efficient, but who don’t think that AI belongs in artistic pursuits. At this point many of us have heard some version of the joke that “AI was supposed to free us from drudgery so we could spend our time making art, but instead AI is making art and sticking us with the drudgery.” One can disagree with parts of that statement (was AI really “supposed” to do that? Can you call what AI generates “art”?), while still recognizing that many people’s hostility to AI is couched in a belief that AI is intruding into areas where it does not belong."
#AI #GenerativeAI #GeneratedImages #Art #LLMs #Automation #Productivity
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"In the 2020s, Steyerl believes the poor image will become an endangered species: soon, most images circulating on the internet will no longer be photographic representations of reality, but data-based renderings that are essentially a programmatic fantasy. The ‘statistical image-making’ of Stable Diffusion and DALL-E derives its contents from large but ultimately incomplete datasets. The generated result is an average composite image that represents the machine’s idea of reality: six-fingered hands, distorted limbs, exaggerated body proportions and eerily smooth foods.
Medium Hot introduces a taxonomic framework for this visual phenomena – one that feels, at times, bloated and frantic in its categorical overlap. ‘Burnt-out images’ refer to works made from AI diffusion models, in which noise, or random data, is added to training data and then removed to generate an image. This diffusion process gives rise to what Steyerl dubs a ‘derivative image’, a term that echoes the concept of ‘derivatives’ in financial systems, highlighting the model’s extractive nature. Consider the derivative image a counterfeit version of the poor image. While the poor image attempts to skirt copyright limitations, the derivative image’s condition for existence is predicated on ‘large-scale data theft’. Steyerl highlights too the bias embedded in the AI means of production but ultimately resists the proposition that models should be inclusively reprogrammed on the basis that implementing diverse training data would only require more labour from microworkers and exacerbate the problem of data theft. AI thrives on disenfranchisement, contributing to ‘multipolar surveillance and… profound social disruptions’."
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"Midjourney’s new AI-generated video tool will produce animated clips featuring copyrighted characters from Disney and Universal, WIRED has found—including video of the beloved Pixar character Wall-E holding a gun.
It’s been a busy month for Midjourney. This week, the generative AI startup released its sophisticated new video tool, V1, which lets users make short animated clips from images they generate or upload. The current version of Midjourney’s AI video tool requires an image as a starting point; generating videos using text-only prompts is not supported.
The release of V1 comes on the heels of a very different kind of announcement earlier in June: Hollywood behemoths Disney and Universal filed a blockbuster lawsuit against Midjourney, alleging that it violates copyright law by generating images with the studios’ intellectual property."
#AI #GenerativeAI #GeneratedImages #MidJourney #Disney #Universal #Copyright #IP
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"If you stumbled across Terence Broad’s AI-generated artwork (un)stable equilibrium on YouTube, you might assume he’d trained a model on the works of the painter Mark Rothko — the earlier, lighter pieces, before his vision became darker and suffused with doom. Like early-period Rothko, Broad’s AI-generated images consist of simple fields of pure color, but they’re morphing, continuously changing form and hue.
But Broad didn’t train his AI on Rothko; he didn’t train it on any data at all. By hacking a neural network, and locking elements of it into a recursive loop, he was able to induce this AI into producing images without any training data at all — no inputs, no influences. Depending on your perspective, Broad’s art is either a pioneering display of pure artificial creativity, a look into the very soul of AI, or a clever but meaningless electronic by-product, closer to guitar feedback than music. In any case, his work points the way toward a more creative and ethical use of generative AI beyond the large-scale manufacture of derivative slop now oozing through our visual culture.
Broad has deep reservations about the ethics of training generative AI on other people’s work, but his main inspiration for (un)stable equilibrium wasn’t philosophical; it was a crappy job."
https://www.theverge.com/ai-artificial-intelligence/688576/feed-ai-nothing
#AI #GenerativeAI #GeneratedImages #AITraining #Copyright #IP
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"This movement reflects a seemingly “common sense” principle: content depicting anyone under 18 sexually should be illegal, whether the subjects are real or virtual. But scratch beneath this consensus, and a more complex picture emerges—one that encompasses far more than AI-generated images. As researcher Aurélie Petit recently discussed with me, while AI deepfakes may grab the headlines, the end result of a zero-tolerance approach is that AI images are treated alongside fan fiction, art, memoirs, and more, principally from queer creators and women, all within the thought-terminating category of child sexual abuse material (CSAM).
This article explores the views of a growing number of experts, including lawyers and psychologists, who challenge this approach, arguing that it drives over-criminalization, stifles artistic expression, disproportionately harms marginalized communities like LGBTQ+ individuals, and even obstructs effective sex abuse prevention efforts. Through these insights, we examine whether the rush to criminalize AI-generated content (and more) oversimplifies a complex issue—and what’s at stake when nuance is ignored."
https://c4osl.org/fiction-or-felony/
#FreedomOfExpression #AI #GenerativeAI #GeneratedImages #Censorship
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"Disney and Universal sued a prominent artificial intelligence start-up for copyright infringement on Wednesday, bringing Hollywood belatedly into the increasingly intense battle over generative A.I.
The movie companies sued Midjourney, an A.I. image generator that has tens of millions of registered users. The 110-page lawsuit contends that Midjourney “helped itself to countless” copyrighted works to train its software, which allows people to create images (and soon videos) that “blatantly incorporate and copy Disney’s and Universal’s famous characters.”
“Midjourney is the quintessential copyright free-rider and a bottomless pit of plagiarism,” the companies said in the lawsuit, which was filed in U.S. District Court in Los Angeles.
Midjourney did not respond to requests for comment.A.I. start-ups like Midjourney, which was introduced in 2022, train their software with data scraped from the internet and elsewhere, often without compensating creators. The practice has resulted in lawsuits from authors, artists, record labels and news organizations, among others. (The New York Times has sued OpenAI and its partner, Microsoft, for copyright infringement. OpenAI and Microsoft have denied those claims, saying their actions fall under “fair use.”)"
https://www.nytimes.com/2025/06/11/business/media/disney-universal-midjourney-ai.html
#AI #GenerativeAI #GeneratedImages #Universal #Disney #MidJourney #Copyright #IP #Plagiarism
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"There are a number of diffusion models out there, but I have tended to use Midjourney, which has been around longer than many other AI tools. Using Midjourney allows us to see how diffusion models have developed over time, as you can see with the simple prompt “otter on a plane using wifi” (for every image and video in this post, I pick the best out of the first four images generated). We go from melted fur at the start of 2022 to a visible otter (with too many fingers and a weird keyboard) at the end of that year. In 2023, we get a photorealistic otter, but still a weird keyboard and plane windows. In 2024, the lighting and positioning become better, and by 2025 we have excellent photorealism.
But what makes diffusion models interesting is not their increasing ability to make photorealistic images, but rather the fact that they can create images in various styles. This cuts to the heart of why AI image generation is so controversial, as many AI models are trained on images from throughout the web, including copyrighted work, and can thus replicate images in the style of living artists without their permission or compensation."
#AU #GenerativeAI #GeneratedImages #DiffusionModels #OpenWeight
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"The environmental shadow cast by my digital life is already egregious, and I would need a good reason—pleasure would be sufficient—to engage with a technology that is not only making the physical world worse but is also decidedly optional. (Want to see what your dog would look like as a human? You actually have an imagination for that!) A.I. is frankly gross to me: it launders bias into neutrality; it hallucinates; it can become “poisoned with its own projection of reality.” The more frequently people use ChatGPT, the lonelier, and the more dependent on it, they become. A recent system update made the chatbot so sycophantic that, if a user told it he’d stopped taking his medications and abandoned his family because they were broadcasting suspicious radio signals, ChatGPT would respond with fawning praise for the person’s journey of courageously pursuing his truth. Earlier this week, Mark Zuckerberg suggested, on a podcast, that the average person has only three friends but “has demand” for fifteen, and that A.I. could help. ChatGPT will reify the problems that it purports to solve, and thus make itself essential: encouraging users to rely less and less on inner resources and personal capacity at a time when most of us are already losing the equipment—our will, our instincts, our sense of purchase—with which we handle the task of being alive."
https://www.newyorker.com/culture/the-weekend-essay/my-brain-finally-broke
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"To be clear, I am not really interested in criticizing any one individual here. In the absence of stronger rules on Instagram, this just comes down to a question of ethics. I am free to believe that what FutureRiderUS is doing is not ethical; they are free to disagree, or at least pretend to.
But neither of our opinions matter, because of two facts: fake AI slop is profitable, and there are countless users doing the same thing. There’s absolutely nothing to stop them.
That is: the Instagram platform doesn’t just enable this behavior, it rewards it. So do other platforms. On Instagram and TikTok, FutureRiderUS’s top hits are from fake LA fires; on YouTube, it’s three-hour long Christmas music compilations with slop visuals of families shopping. None are clearly labeled. Disaster porn is just another kind of #content.
It doesn’t really matter what that content is: as long as it is ‘content that grabs attention,’ both sides can make money.
For the slop creator and the platform, this is a clear win-win, at least in the short term. The only loser here is the audience, who is unable to recognize slop when they see it.
There’s this thing that AI proponents like to say every time something new comes out: this is the worst it'll ever be. So far, they've been right, and they may well continue to be right. It’s hard to predict what happens next with AI, but I have one prediction I feel fairly comfortable making: unaided, most of us will always struggle to reliably recognize AI when we see it.
But it’s hard to blame us when two sides are conspiring against us: Instagram’s interface makes it almost impossible to tell, and creators are incentivized to lie by omission."
#AI #GenerativeAI #AISlop #SocialMedia #Instagram #TikTok #GeneratedImages #AISpam #Spammers #Spamming
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"Corpora.AI is a tool that helps professionals research by “creating precise, distilled insights from the breadth and depth of global content.” As the company’s CEO and an expert in the AI field, Morris is well-aware of the financial toll such tools take on companies… and who really profits from them.
“They launched this type of service and no matter who you are, it’s fun to play with,” Morris began. “You see people creating images just for the fun of it. They share it with their friends. Everyone gathers around at their desk and they all think that’s a funny way to look at this person with a nice avatar that’s been created, or a real looking person but it’s based on them, and so it’s fun.
“There’s a hype factor that gathers momentum very quickly. I had a phone conversation just last night about this and someone said, ‘Yeah, these guys are burning through GPUs doing this. Literally, they’re burning through GPUs, they’re almost catching fire.’ They’re having to run that hard to do it, and that’s taking away the capacity,” he explained.
“The same sort of models that we’re running for doing GPT and those sorts of things running on the same hardware and probably in the same cloud-based server form. So, all of a sudden now we’re putting another demand on the GPUs.”"
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"Herein lies the problem with AI art. Just like with a law school letter of reference generated from three bullet points, the prompt given to an AI to produce creative writing or an image is the sum total of the communicative intent infused into the work. The prompter has a big, numinous, irreducible feeling and they want to infuse it into a work in order to materialize versions of that feeling in your mind and mine. When they deliver a single line's worth of description into the prompt box, then – by definition – that's the only part that carries any communicative freight. The AI has taken one sentence's worth of actual communication intended to convey the big, numinous, irreducible feeling and diluted it amongst a thousand brushtrokes or 10,000 words. I think this is what we mean when we say AI art is soul-less and sterile. Like the five paragraphs of nonsense generated from three bullet points from a law prof, the AI is padding out the part that makes this art – the microdecisions intended to convey the big, numinous, irreducible feeling – with a bunch of stuff that has no communicative intent and therefore can't be art.
If my thesis is right, then the more you work with the AI, the more art-like its output becomes. If the AI generates 50 variations from your prompt and you choose one, that's one more microdecision infused into the work. If you re-prompt and re-re-prompt the AI to generate refinements, then each of those prompts is a new payload of microdecisions that the AI can spread out across all the words of pixels, increasing the amount of communicative intent in each one."
https://pluralistic.net/2025/03/25/communicative-intent/#diluted
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Les images créées par l'IA pullulent sur Facebook et Instagram. Elles commencent à apparaître sur Mastodon. Ne soyez pas complice de la désinformation, ne partagez pas de ces images trop belles pour être vraies. Ici, la fleur squelette (Diphylleia grayi) dont les pétales deviennent translucides lorsqu'ils sont mouillés.
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"Since mid-2023, experts have identified the use of one or more forms of generative AI (GenAI) in nearly every national election, including elections in Argentina, Bangladesh, India, and Slovakia.
Consequently, it is no surprise that concerns abound around the globe regarding the use of GenAI during elections, whether by malicious actors or as extensions of traditional campaigning approaches. DRI has been tracking the development and potential threats of GenAI technologies for many years, warning about the dangers of large language model misuse by malicious actors, their inability to effectively answer questions on factual matters regarding elections, and the threats that text-to-image generation models like Stable Diffusion and Dall-E can pose, whether independently or as part of broader automated disinformation-generating pipelines."
#EU #GenerativeAI #AI #GeneratedImages #Disinformation #Manipulation #Propaganda
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"Instagram has begun testing a feature in which Meta’s AI will automatically generate images of users in various situations and put them into that user’s feed. One Redditor posted over the weekend that they were scrolling through Instagram and were presented an AI-generated slideshow of themselves standing in front of “an endless maze of mirrors,” for example.
“Used Meta AI to edit a selfie, now Instagram is using my face on ads targeted at me,” the person posted. The user was shown a slideshow of AI-generated images in which an AI version of himself is standing in front of an endless “mirror maze.” “Imagined for you: Mirror maze,” the “location of the post reads.”
“Imagine yourself reflecting on life in an endless maze of mirrors where you’re the main focus,” the caption of the AI images say. The Reddit user told 404 Media that at one point he had uploaded selfies of himself into Instagram’s “Imagine” feature, which is Meta’s AI image generation feature."
https://www.404media.co/instagram-begins-randomly-showing-users-ai-generated-images-of-themselves/
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I think Brian Eno's opinion expresses in the best possible way my own opinion regarding AI - all of the text is top-notch:
"The drive for more profits (or increasing “market share,” which is the same thing) produces many distortions. It means, for example, that a product must be brought to market as fast as possible, even if that means cutting corners in terms of understanding social impacts; it means social value and security are secondary by a long margin. The result is a Hollywood shootout fantasy, except it’s a fantasy we have to live in.
AI today inverts the value of the creative process. The magic of play is seeing the commonplace transforming into the meaningful. For that transformation to take place we need to be aware of the provenance of the commonplace. We need to sense the humble beginnings before we can be awed by what they turn into—the greatest achievement of creative imagination is the self-discovery that begins in the ordinary and can connect us to the other, and to others.
Yet AI is part of the wave of technologies that are making it easier for people to live their lives in complete independence from each other, and even from their own inner lives and self-interest. The issue of provenance is critically important in the creative process, but not for AI today. Where something came from, and how and why it came into existence, are major parts of our feelings about it."
https://www.bostonreview.net/forum_response/ais-walking-dog/
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"DeepMind, Google’s AI research org, has unveiled a model that can generate an “endless” variety of playable 3D worlds.
Called Genie 2, the model — the successor to DeepMind’s Genie, which was released earlier this year — can generate an interactive, real-time scene from a single image and text description (e.g. “A cute humanoid robot in the woods”). In this way, it’s similar to models under development by Fei-Fei Li’s company, World Labs, and Israeli startup Decart.
DeepMind claims that Genie 2 can generate a “vast diversity of rich 3D worlds,” including worlds in which users can take actions like jumping and swimming by using a mouse or keyboard. Trained on videos, the model’s able to simulate object interactions, animations, lighting, physics, reflections, and the behavior of “NPCs.”"
#AI #GenerativeAI #GeneratedImages #DeepMind #Google #VideoGames #3DWorlds
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"Instagram is flooded with hundreds of AI-generated influencers who are stealing videos from real models and adult content creators, giving them AI-generated faces, and monetizing their bodies with links to dating sites, Patreon, OnlyFans competitors, and various AI apps.
The practice, first reported by 404 Media in April, has since exploded in popularity, showing that Instagram is unable or unwilling to stop the flood of AI-generated content on its platform and protect the human creators on Instagram who say they are now competing with AI content in a way that is impacting their ability to make a living.
According to our review of more than 1,000 AI-generated Instagram accounts, Discord channels where the people who make this content share tips and discuss strategy, and several guides that explain how to make money by “AI pimping,” it is now trivially easy to make these accounts and monetize them using an assortment of off-the-shelf AI tools and apps. Some of these apps are hosted on the Apple App and Google Play Stores. Our investigation shows that what was once a niche problem on the platform has industrialized in scale, and it shows what social media may become in the near future: a space where AI-generated content eclipses that of humans."
https://www.wired.com/story/ai-pimping-industry-deepfakes-instagram/
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"An AI-generated nude photo scandal has shut down a Pennsylvania private school. On Monday, classes were canceled after parents forced leaders to either resign or face a lawsuit potentially seeking criminal penalties and accusing the school of skipping mandatory reporting of the harmful images.
The outcry erupted after a single student created sexually explicit AI images of nearly 50 female classmates at Lancaster Country Day School, Lancaster Online reported.
Head of School Matt Micciche seemingly first learned of the problem in November 2023, when a student anonymously reported the explicit deepfakes through a school portal run by the state attorney’s general office called "Safe2Say Something." But Micciche allegedly did nothing, allowing more students to be targeted for months until police were tipped off in mid-2024."
#USA #Pennsylvania #AI #GenerativeAI #GeneratedImages #DeepFakes
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I'm not sure this kind of tools are legal in the European Union...
"Fast-forward to today, and millions of artists have deployed two tools born from that Zoom: Glaze and Nightshade, which were developed by Zhao and the University of Chicago’s SAND Lab (an acronym for “security, algorithms, networking, and data”).
Arguably the most prominent weapons in an artist’s arsenal against nonconsensual AI scraping, Glaze and Nightshade work in similar ways: by adding what the researchers call “barely perceptible” perturbations to an image’s pixels so that machine-learning models cannot read them properly. Glaze, which has been downloaded more than 6 million times since it launched in March 2023, adds what’s effectively a secret cloak to images that prevents AI algorithms from picking up on and copying an artist’s style. Nightshade, which I wrote about when it was released almost exactly a year ago this fall, cranks up the offensive against AI companies by adding an invisible layer of poison to images, which can break AI models; it has been downloaded more than 1.6 million times.
Thanks to the tools, “I’m able to post my work online,” Ortiz says, “and that’s pretty huge.” For artists like her, being seen online is crucial to getting more work. If they are uncomfortable about ending up in a massive for-profit AI model without compensation, the only option is to delete their work from the internet. That would mean career suicide."
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"Sotheby’s recently sold the first artwork made by a humanoid robot using artificial intelligence (AI) algorithms for $1 million, blasting past its estimate of $120,000 to $180,000.
On November 7, the artwork A.I. God. Portrait of Alan Turing (2024) by the humanoid robot artist Ai-Da sold for $1,084,800 during the auction house’s Digital Art day sale. There were 27 bids for the portrait of mathematician and computer scientist Alan Turing, which was created using Ai-Da Robot’s AI algorithms. The 64-inch by 90-inch mixed media on canvas also had a third-party guarantee.
“This auction is an important moment for the visual arts, where Ai-Da’s artwork brings focus on artworld and societal changes, as we grapple with the rising age of AI,” U.K.-based art dealer, gallery owner, and robot creator Aidan Meller said in a press statement. “The artwork “AI God” raises questions about agency, as AI gains more power.”"
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#AI #GenerativeAI #GeneratedImages: "The idea that multiple truths can be drawn from the same material is radiantly explored in the film Eno, which I saw last week. Based on the life of the multitalented music producer Brian Eno, the documentary is auto-generated by a machine and varies every time it is shown.
According to the film’s makers, there are 52 quintillion possible versions of it, which could make “a really big box set”. This artistic experiment tells us much about the nature of creativity and the plurality of truth in the age of generative media.
To make the film, the producer Gary Hustwit and the creative technologist Brendan Dawes digitised more than 500 hours of Eno’s video footage, interviews and recordings. From this archive, spanning 50 years of Eno’s creative output working with artists including Talking Heads, David Bowie and U2, two editors created 100 scenes. The filmmakers wrote software generating introductory and concluding scenes with Eno and outlining a rough three-act structure. They then let the software loose on this digital archive, splicing together different scenes and recordings to generate a 90-minute film."
https://www.ft.com/content/5cbecda3-f1b5-4b60-9589-c7ef5fdf6696
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#SocialMedia #Snapchat #DataProtection #AI #GenerativeAI #GeneratedImages: "Snapchat is reserving the right to put its users’ faces in ads, according to terms of service related to its “My Selfie” tool (formerly “AI Selfies”), which allows users and their friends to create AI-generated images trained on their selfies.
Users have the option to opt out of this by toggling off a “feature” in the app called “See My Selfie in Ads,” but according to 404 Media’s testing this feature is on by default.
“My Selfie is used to power Generative AI, Cameos and other experiences on Snapchat that feature you, including ads,” a pop up in the Snapchat app says. “My Selfie uses your images and information to do this.”"
https://www.404media.co/snapchat-reserves-the-right-to-use-ai-generated-images-of-your-face-in-ads/
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#AI #GenerativeAI #GeneratedImages #Google #Search #SearchEngines: "The first thing people saw when they searched Google for the artist Hieronymus Bosch was an AI-generated version of his Garden of Earthly Delights, one of the most famous paintings in art history.
Depending on what they are searching for, Google Search sometimes serves users a series of images above the list of links they usually see in results. As first spotted by a user on Twitter, when people searched for “Hieronymus Bosch” on Google, it included a couple of images from the real painting, but the first and largest image they saw was an AI-generated version of it.
I was able to confirm that Google Search was serving this AI-generated image to users yesterday, but Google removed it from search results at some point last night."
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#AI #GenerativeAI #GeneratedImages #DevianArt #Bots #SocialMedia: "On March 27, a large group of artists and creators from across the web noticed the frightening extent to which a once-beloved, highly influential community platform of theirs had, like so many others, fallen prey to the artificial intelligence juggernauts plundering the internet.
As VFX animator Romain Revert (Minions, The Lorax) pointed out on X, the bots had come for his old home base of DeviantArt. Its social accounts were promoting “top sellers” on the platform, with usernames like “Isaris-AI” and “Mikonotai,” who reportedly made tens of thousands of dollars through bulk sales of autogenerated, dead-eyed 3D avatars. The sales weren’t exactly legit—an online artist known as WyerframeZ looked at those users’ followers and found pages of profiles with repeated names, overlapping biographies and account-creation dates, and zero creations of their own, making it apparent that various bots were involved in these “purchases.”
It’s not unlikely, as WyerframeZ surmised, that someone constructed a low-effort bot network that could hold up a self-perpetuating money-embezzlement scheme: Generate a bunch of free images and accounts, have them buy and boost one another in perpetuity, inflate metrics so that the “art” gets boosted by DeviantArt and reaches real humans, then watch the money pile up from DeviantArt revenue-sharing programs. Rinse, repeat.
After Revert declared this bot-on-bot fest to be “the downfall of DeviantArt,” myriad other artists and longtime users of the platform chimed in to share in the outrage that these artificial accounts were monopolizing DeviantArt’s promotional and revenue apparatuses. Several mentioned that they’d abandoned their DeviantArt accounts—all appearing to prove his dramatic point."
https://slate.com/technology/2024/05/deviantart-what-happened-ai-decline-lawsuit-stability.html
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#AI #GenerativeAI #GeneratedImages #Meta #Watermarking: "Meta is working to detect and label AI-generated images on Facebook, Instagram and Threads as the company pushes to call out “people and organisations that actively want to deceive people”.
Photorealistic images created using Meta’s AI imaging tool are already labelled as AI, but the company’s president of global affairs, Nick Clegg, announced in a blog post on Tuesday that the company would work to begin labelling AI-generated images developed on rival services.
Meta’s AI images already contain metadata and invisible watermarks that can tell other organisations that the image was developed by AI, and the company is developing tools to identify these types of markers when used by other companies, such as Google, OpenAI, Microsoft, Adobe, Midjourney and Shutterstock in their AI image generators, Clegg said."
https://www.theguardian.com/technology/2024/feb/06/meta-ai-images-instagram-facebook-label-crackdown -
#SocialMedia #AI #GeneratedImages #DeepFakes #FakeNudes: "Slate: Fake nude images aren’t an entirely new issue. What’s the history of this problem?
Sophie Maddocks: There’s a historian, Jessica Lake, and she’s done some really interesting research tracing the potential origins of the creation of fake nude images. She talks a lot about the rise of photography in the late 19th century, and writes about an example of face-swapping in late-19th-century photography where images of the faces of high-society women were pasted onto nude bodies and then circulated. And not only is that one possible starting point when thinking about the history of fake nudes, it’s also an interesting starting point for how we see the creation of A.I.–generated fake nudes. Fake nudes first went viral in the online sense in 2017 with the creation of the DeepNude app where the faces of individuals were digitally pasted onto the bodies of adult film actors, almost exactly mimicking what had been done in the late 19th century with photography.
So there is a long history to this harm, but I think there is that long-standing desire to produce fake nude images—almost exclusively of women. With the rise of the internet, we’ve seen ways of creating and sharing ever more photorealistic images—until we get to the last year with the rise of video- and image-generation models that create extremely realistic imagery and A.I. tools trained on millions of images of girls and women scraped from the internet without their consent. You can either use a text prompt or an existing image to produce a very realistic fake nude.
So A.I. has increased the volume and severity of this problem on the internet.
Absolutely. In 2017, when activists and the first people affected by A.I.–assisted deepfakes, like famous actors and singers, started to raise the alarm about this issue, they really gave us a roadmap for what would happen."
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#AI #GenerativeAI #GeneratedImages #AISafety #StableDiffusion #OpenAI #DALLE2: "Popular text-to-image AI models can be prompted to ignore their safety filters and generate disturbing images.
A group of researchers managed to get both Stability AI’s Stable Diffusion and OpenAI’s DALL-E 2 text-to-image models to disregard their policies and create images of naked people, dismembered bodies, and other violent and sexual scenarios.
Their work, which they will present at the IEEE Symposium on Security and Privacy in May next year, shines a light on how easy it is to force generative AI models into disregarding their own guardrails and policies, known as “jailbreaking.” It also demonstrates how difficult it is to prevent these models from generating such content, as it’s included in the vast troves of data they’ve been trained on, says Zico Kolter, an associate professor at Carnegie Mellon University. He demonstrated a similar form of jailbreaking on ChatGPT earlier this year but was not involved in this research."
