Tag: art

  • Adobe Says It Won’t Train AI Using Artists’ Work. Creatives Aren’t Convinced

    Adobe Says It Won’t Train AI Using Artists’ Work. Creatives Aren’t Convinced

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    When users first found out about Adobe’s new terms of service (which were quietly updated in February), there was an uproar. Adobe told users it could access their content “through both automated and manual methods” and use “techniques such as machine learning in order to improve [Adobe’s] Services and Software.” Many understood the update as the company forcing users to grant unlimited access to their work, for purposes of training Adobe’s generative AI: Firefly.

    Late on Tuesday, Adobe issued a clarification: In an updated version of its terms of service agreement, it pledged not to train AI on its user content stored locally or in the cloud and gave users the option to opt-out of content analytics.

    Caught in the crossfire of intellectual property lawsuits, the ambiguous language used to previously update the terms shed light on a climate of acute skepticism among artists, many of whom over rely on Adobe for their work. “They already broke our trust,” says Jon Lam, a senior storyboard artist at Riot Games, referring to how award-winning artist Brian Kesinger discovered generated images in the style of his art being sold under his name on their stock image site, without his consent. Earlier this month, the estate of late photographer Ansel Adams publicly scolded Adobe for allegedly selling generative AI imitations of his work.

    Scott Belsky, Adobe’s Chief Strategy Officer, had tried to assuage concerns when artists started protesting, clarifying that machine learning refers to the company’s non-generative AI tools—Photoshop’s “Content Aware Fill” tool, which allows users to seamlessly remove objects in an image, is one of the many tools done through machine learning. But while Adobe insists that the updated terms does not give the company content ownership and that they will never use user content to train Firefly, the misunderstanding triggered a bigger discussion about the company’s market monopoly and how a change like this could threaten livelihoods of artists at any point. Lam is among the artists that still believes that, despite Adobe’s clarification, the company will use work created on its platform to train Firefly without the creator’s consent.

    The nervousness over non-consensual use and monetization of copyrighted work by generative AI models is not new. Early last year, artist Karla Ortiz was able to prompt images of her work using her name on various generative AI models; an offense that gave rise to a class action lawsuit against Midjourney, DeviantArt, and Stability AI. Ortiz was not alone—Polish fantasy artist Greg Rutkowski found that his name was one of the most commonly-used prompts in Stable Diffusion when the tool first launched in 2022.

    As the owner of Photoshop and creator of PDFs, Adobe has reigned as the industry standard for over 30 years, powering the majority of the creative class. An attempt to acquire product design company Figma was blocked and abandoned in 2023 for antitrust concerns attesting to its size.

    Adobe specifies that Firefly is “ethically trained” on Adobe Stock, but Eric Urquhart, long-time stock image contributor, insists that “there was nothing ethical about how Adobe trained the AI for Firefly,” pointing out that Adobe does not own the rights to any images from individual contributors. Urquhart originally put his images up on Fotolia, a stock image site, where he agreed to licensing terms that did not specify any uses for generative AI. Fotolia was then acquired by Adobe in 2015, which rolled out silent terms of service updates that later allowed the company to train Firefly using Eric’s photos without his explicit consent: “the language in the current change of TOS, it’s very similar to what I saw in the Adobe Stock TOS.”



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  • Worried About AI Killing Art? This App Offers a Refuge—If Its Founder Can Keep the Lights On

    Worried About AI Killing Art? This App Offers a Refuge—If Its Founder Can Keep the Lights On

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    At the moment we’re having this conversation, how many people have Cara accounts?

    Now we’re at nearly 900,000 users. But it’s been stressful. Yesterday or the day before—I’m losing track of time now—I saw a bill from a service provider and it was almost $100,000 for six days. So we’re trying to figure out our financial situation. It’s an ongoing process.

    Are they working with you to reduce the bill?

    I certainly hope so. We’re talking, and there have been other service providers talking to us too. We’re considering our options.

    This wasn’t meant to be your full-time gig. Is there a point where this gets too big and you have to look for partners? And are you considering a subscription model or outside investors?

    Before this all happened, the next thing on our to-do list was to start a subscription service for our users, to see what the response would be and whether it would be self-sustaining. Now we don’t have time—we have to pay the bills now. So I’m looking at all options.

    Do you worry about people from outside your circle getting involved and having a say?

    The important thing is that I maintain control of how I’m building Cara. I love to be independent and want to do it on my own as long as possible, but in the worst-case scenario, we raise money. I did consider a friends and family [funding] round for later this year, with people I can absolutely trust.

    Where would you like to see Cara in five years?

    I want to see what the community needs and build according to that. I have some idea of how generative AI will impact jobs, and how it might reduce pay even for people who still have jobs, but who is to say what will be the most helpful in five years? I’m sorry if that sounds like a non-answer, but I just think you have to adapt as best you can and build what makes the most sense in the moment.

    How many people are working on Cara right now?

    Four or five of us for the last year or so. We temporarily have a bunch of help. I don’t know if they’ll stick around, but right now we have closer to 10 on the engineering team working with us through this crisis. Originally we had three staff helping me day-to-day, and right now we have 10 to 20 people trying to do things like manage our Discord, which last time I checked had between 8,000 and 10,000 people. They’re trying to manage content moderation. On Instagram we have tens of thousands of messages. Everyone just wants to help, and people are being really kind.

    Backing up a bit, could you walk me through joining the class action lawsuits against generative AI companies?

    I don’t really like to be involved in things, but if nobody has addressed something that I’d like to see, I’ll do it. It doesn’t matter if it makes me unpopular. It was a little difficult for me to watch when people were still in the denial stage about generative AI being usable for work. This will never replace artists, look how bad the hands are.

    I will say that the hands are, indeed, bad.

    My exposure to tech and art production is different since I work as a photographer and I’m in the pipeline of production. I’d have companies sending me demos talking about natural language processing being used to generate stuff five, six years ago. I stayed out of the AI discourse for a while because I was underway with my own copyright lawsuit at the time, and there was a lot of harassment.

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  • Ancient snake drawings are among the largest known rock art worldwide

    Ancient snake drawings are among the largest known rock art worldwide

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    Animal etchings into rocks along the Orinoco River in South America

    Animal etchings into rocks along the Orinoco river in South America

    Philip Riris et al.

    Prehistoric engravings of giant snakes along South America’s Orinoco river are among the largest examples of rock art we know of anywhere in the world, with some stretching for more than 40 metres.

    The Orinoco is one of the world’s largest rivers, flowing through Venezuela and along its border with Colombia. “There’s an outstanding record of rock art along the Orinoco, especially on the Venezuelan side,” says José Oliver at University College London. “Usually, they are paintings found in rock shelters.”

    Engravings are common in many open-air sites along the river, he says, but not all of them have been officially recorded.

    Since 2015, Oliver and his colleagues have taken several trips to areas along the Colombian and Venezuelan margins of the river to build a better picture of its rock engravings.

    “It wasn’t difficult to encounter new sites,” says team member Philip Riris at Bournemouth University in the UK. “Every time you go round a corner, there was always more.”

    Of the 157 rock art sites that the team has managed to visit, 13 were made up of engravings that were at least 4 metres tall. “Anything that size is monumental in our view,” says Riris. “That means they’re often visible from quite far away, maybe 500 metres to a kilometre.”

    Most of the engravings depict people, mammals, birds, centipedes, scrolls and geometric shapes, but snakes were among the largest motifs, with the biggest measuring 42 metres across. In the mythology of the Indigenous Orinoco people, anacondas and boa constrictors are primordial creators, so are held in high regard, says Riris.

    The prominence of the rock art along the river suggests that the ancient carvings may have been a territorial marker to signal that a certain group lives there, but not necessarily a warning to stay away. “The engravings may not be exclusionary, but rather an inclusionary practice that was shared among the communities,” says Riris.

    Ceramics unearthed in the region and dated to 2000 years ago have similar motifs to the ones on the engravings, which suggests that the rock art was similarly created two millennia ago.

    The team hopes to discover even more of these carvings and collect clues about their origins and purpose. For example, many of them appear near rock shelters with burial grounds, which suggests they may be connected to ancient funerary practices.

    “This is a valuable piece of research,” says Andrés Troncoso at the University of Chile. “It sheds light about the rock art of a non-well-known area of South America, continuing to fill up our knowledge of this region.”

    “Euro-American minds often jump to the mammoths, cave lions and large mammals of Pleistocene cave sites in western Europe when they think of rock art,” says Patrick Roberts at the Max Planck Institute of Geoanthropology in Germany. “However, the giant snake engravings studied in the paper are some of the largest single rock art images anywhere in the world and come from the heart of a lowland tropical environment.”

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  • The Creative Brain review: Creativity’s origins defy simple explanations

    The Creative Brain review: Creativity’s origins defy simple explanations

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    Male artist, painting a new creative painting in his art studio

    What is it in the brain that allows some of us to create fabulous and complex artworks?

    FluxFactory/Getty Images

    The Creative Brain
    Anna Abraham
    MIT Press

    Creativity is a product of the human mind. But why are some people more creative than others, making it seem elusive or a gift?

    Having a neurodivergent brain has been proposed as one possibility. Take Wolfgang Amadeus Mozart’s musical creativity. It has been suggested that he had Tourette’s syndrome, a brain condition linked to a range of symptoms including obsessive behaviour, which could have played a role.…

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  • These photos show AI used to reinterpret centuries-old graffiti

    These photos show AI used to reinterpret centuries-old graffiti

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    6 Generative study (I WILL FOLLOW THE SHIP) Matthew Attard, Generative study (I WILL FOLLOW THE SHIP), 2023 Eye-tracking drawing, Generative algorithm Digital image ? Variable dimensions ? Matthew Attard and Galleria Michela Rizzo

    Reinterpretations of the etchings

    Matthew Attard and Galleria Michela Rizzo

    At the 60th Venice Biennale, Maltese artist Matthew Attard addresses his country’s maritime heritage, along with notions of faith and progress, through the prism of AI-driven technology. His work focuses on images of ships that were graffitied by seafarers on the stone facades of chapels in Malta between the 16th and 19th centuries, one of which is pictured below.

    Ship graffito at Our Lady of the Visitation Chapel, Wied Qirda - ?ebbu?, Malta, 2021 - Elyse Tonna

    Ship graffito at Our Lady of the Visitation Chapel, Wied Qirda – Żebbuġ, Malta

    Elyse Tonna

    Attard, pictured below, retraced the incised lines of the hulls, rigging and billowing sails using his gaze, in a process facilitated by an eye-tracking device and generative algorithms. “This gaze was translated into data points by the technology, which were then further interpreted to generate lines or drawings,” he says.

    A database of digital images generated from the data points captured the engravings from various perspectives, from which artworks such as 3D scans and video pieces were created.

    Matthew Attard with an eye-tracking device, tracing ship graffiti at Our Lady of the Visitation Chapel, Wied Qirda - ?ebbu?, Malta, 2021 - Elyse Tonna

    Matthew Attard with an eye-tracking device.

    Elyse Tonna

    The maritime graffiti resonates with cultures whose relationship with the sea has been – and still is – crucial, where the ship remains a metaphor for hope and survival. Similarly, Maltese chapels have long been places of sanctuary. Attard says he wanted to explore “parallels with our current ‘blind faith’ in digital technology”.

    His reinterpretations of the etchings are ghostlike, skeletal impressions, as shown in the main image. “One could argue that even the most traditional mediums, such as a pencil or a piece of charcoal, can be considered a form of drawing technology,” he notes. His show is at the Malta Pavilion at the Venice Biennale, Italy, commissioned by Arts Council Malta, until 24 November.

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  • Artists who use AI are more productive but less original

    Artists who use AI are more productive but less original

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    AI tools such as DALL-E can generate sophisticated artworks based on text prompts

    Rokas Tenys/Shutterstock

    Using artificial intelligence to create artworks increases artists’ productivity and generates more positive reactions, according to a study involving submissions to a popular art-sharing website by more than 50,000 users.

    However, generative AI works are more likely to display stereotypical themes and depictions, reducing the novelty of the artist’s work.

    Eric Zhou and Dokyun Lee at Boston University examined work posted on an…

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  • The Dark Side of Open Source AI Image Generators

    The Dark Side of Open Source AI Image Generators

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    Whether through the frowning high-definition face of a chimpanzee or a psychedelic, pink-and-red-hued doppelganger of himself, Reuven Cohen uses AI-generated images to catch people’s attention. “I’ve always been interested in art and design and video and enjoy pushing boundaries,” he says—but the Toronto-based consultant, who helps companies develop AI tools, also hopes to raise awareness of the technology’s darker uses.

    “It can also be specifically trained to be quite gruesome and bad in a whole variety of ways,” Cohen says. He’s a fan of the freewheeling experimentation that has been unleashed by open source image-generation technology. But that same freedom enables the creation of explicit images of women used for harassment.

    After nonconsensual images of Taylor Swift recently spread on X, Microsoft added new controls to its image generator. Open source models can be commandeered by just about anyone and generally come without guardrails. Despite the efforts of some hopeful community members to deter exploitative uses, the open source free-for-all is near-impossible to control, experts say.

    “Open source has powered fake image abuse and nonconsensual pornography. That’s impossible to sugarcoat or qualify,” says Henry Ajder, who has spent years researching harmful use of generative AI.

    Ajder says that at the same time that it’s becoming a favorite of researchers, creatives like Cohen, and academics working on AI, open source image generation software has become the bedrock of deepfake porn. Some tools based on open source algorithms are purpose-built for salacious or harassing uses, such as “nudifying” apps that digitally remove women’s clothes in images.

    But many tools can serve both legitimate and harassing use cases. One popular open source face-swapping program is used by people in the entertainment industry and as the “tool of choice for bad actors” making nonconsensual deepfakes, Ajder says. High-resolution image generator Stable Diffusion, developed by startup Stability AI, is claimed to have more than 10 million users and has guardrails installed to prevent explicit image creation and policies barring malicious use. But the company also open sourced a version of the image generator in 2022 that is customizable, and online guides explain how to bypass its built-in limitations.

    Meanwhile, smaller AI models known as LoRAs make it easy to tune a Stable Diffusion model to output images with a particular style, concept, or pose—such as a celebrity’s likeness or certain sexual acts. They are widely available on AI model marketplaces such as Civitai, a community-based site where users share and download models. There, one creator of a Taylor Swift plug-in has urged others not to use it “for NSFW images.” However, once downloaded, its use is out of its creator’s control. “The way that open source works means it’s going to be pretty hard to stop someone from potentially hijacking that,” says Ajder.

    4chan, the image-based message board site with a reputation for chaotic moderation is home to pages devoted to nonconsensual deepfake porn, WIRED found, made with openly available programs and AI models dedicated solely to sexual images. Message boards for adult images are littered with AI-generated nonconsensual nudes of real women, from porn performers to actresses like Cate Blanchett. WIRED also observed 4chan users sharing workarounds for NSFW images using OpenAI’s Dall-E 3.

    That kind of activity has inspired some users in communities dedicated to AI image-making, including on Reddit and Discord, to attempt to push back against the sea of pornographic and malicious images. Creators also express worry about the software gaining a reputation for NSFW images, encouraging others to report images depicting minors on Reddit and model-hosting sites.



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  • The art of olfaction should take its place alongside other art forms

    The art of olfaction should take its place alongside other art forms

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    Smell has unrivalled emotional power. As such, the art of olfaction is rightfully being included in a new multisensory performance, says perfumer Mathilde Laurent

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  • Help, My Friend Got Me a Dumb AI-Generated Present

    Help, My Friend Got Me a Dumb AI-Generated Present

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    “An artist friend of mine got me an AI-generated painting as a gift. I can see she tried to personalize the concept, and it’s nicely framed, but part of me still feels a little cheated. Is that fair?”

    —No Returns

    Dear No Returns,

    There’s something implicitly paradoxical about feeling “cheated” by a present. A gift is, by definition, something that comes into your possession at no cost or effort, an object that exists outside the economic concepts of debt and fair exchange. But the fact that these offerings do often leave us feeling shortchanged suggests that there is a shadowy economics of gift giving, one whose rules are tacit and loosely defined. While I won’t pretend to know the nuanced history of obligations and credits that undergird your friendship, I think I can guess why the AI-generated painting disappointed you. First, the gift cost your friend nothing: The painting was presumably generated by one of the free diffusion models that are available online, and so required zero monetary sacrifice. Second, the gift demanded no real creative effort, beyond the idea for the prompt. Your friend is an artist, someone endowed with creative talent, yet she seemingly refused to contribute to your gift a portion of that private reserve. The artwork that resulted feels to you generic and impersonal, lacking the singular imprint of your friend’s creative mind.

    Your question made me think of Lewis Hyde’s The Gift, a 1983 book about the role of art in market economies. While the writers and artists who have sung its praises (Margaret Atwood, Zadie Smith, and David Foster Wallace among them) tend to regard the book as something akin to a volume of metaphysics, it bills itself, somewhat dryly, as a work of economic anthropology. Hyde begins with a lengthy discussion of gift economies, like those found on the South Sea islands or among Indigenous Americans. While modern markets are defined by exactitude and reciprocity—it’s crucial that the seller receive compensation equal to the work they performed—gift economies, he argues, are not reciprocal but circular. The recipient of a gift isn’t expected to repay their benefactor directly, though it is assumed that they will contribute in some way to the community—to pay it forward, so to speak. Rather than fixating on fairness, such communities maintain a kind of faith that whatever you give will come back, though not directly or on a determined schedule. “When the gift moves in a circle its motion is beyond the control of the personal ego,” Hyde writes, “and so each bearer must be a part of the group and each donation is an act of social faith.”

    Hyde’s larger point, which might be relevant to your question, is that artists tend to flourish in gift economies, where objects of art are regarded not as commodities with precise monetary values but as expressions of a communal energy, what Hyde calls “the commerce of the creative spirit.” The act of artistic creation is already in the tides of giving and receiving, because inspiration itself is drawn osmotically from an array of outside sources. We call talented people “gifted” because it’s understood that true creativity is unearned and unwilled—there are no private reserves. “We are lightened when our gifts rise from pools we cannot fathom,” Hyde writes. “Then we know they are not a solitary egotism and they are inexhaustible.” This is why any genuine encounter with art completely obliterates the usual logic of fairness and economic value. When you stand in awe of a Hokusai painting, you are not thinking, typically, about the price you paid for admission to the museum, or wondering about whether it was a good deal. The gift of these encounters leaves the recipient inspired to create something herself, and so the generative energy continues to pass from one person to another.

    You alluded to the generic quality of the AI art you were given, despite your friend’s well-meaning attempts to personalize it. What’s interesting is that impersonality is a quality that characterizes both the very best and the very worst art: The transcendence one feels when listening to the Bach cello suites, say, or reading Sappho’s lyric poetry, perhaps stems from the feeling that the work’s genius was not generated by an individual mind, but drawn from the well of the collective unconscious. (Recall the scores of artists who have referred to themselves as “conduits” or “instruments,” insisting that they are merely the technological apparatus of some larger cosmic energy.)

    There’s a difference, though, between art that achieves a sublime universality and a product that is created to be benignly universal. The transpersonal quality of great art has its dark side in the vacuity of hotel paintings, Muzak, and formulaic paperback novels. I think it’s fair to say that AI-generated art, in its current stage of development, belongs to the latter category. Although it is drawing from “pools we cannot fathom,” to borrow Hyde’s formulation (an apt description of the vast reservoir of training data that constitutes the model’s unconscious), and although its stochastic logic is as opaque and mysterious as human creativity, its output still bears the stain of art that was created by committee and calculated to hit certain market objectives. If generative models were capable of creating something like an original van Gogh, then perhaps things would be different. As it stands, your friend gave you the digital equivalent of a Starry Night jigsaw puzzle.

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  • Nick Hornby’s Brain-Bending Sculptures Twist History Into New Shapes

    Nick Hornby’s Brain-Bending Sculptures Twist History Into New Shapes

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    You can get a crash course in Nick Hornby’s work in the span of an hour-long London walk. The artist has three permanent sculptures installed across the city, metal silhouettes that start off familiar but transform depending on your vantage point. In St. James, his conquering equestrian, modeled on Richard I, becomes an amorphous squiggle as you circle; while in Kensington, his take on Caspar David Friedrich’s Wanderer turns abstract; and a bust of Nefertiti doubles as the Albert Memorial.

    Raising questions about power and the role of the monument, the trio are a clever combo of craft and concept. They’re also feats of digital innovation. The equestrian, for example, started out as a digital model scripted in Python. It was then unrolled into individual components to be laser-cut from metal, then assembled by fabricators. “It was a lovely, seamless relationship between concept, digital processes, and mechanical fabrications—165 pieces manipulated into the six-and-a-half ton object,” says Hornby from his studio in northwest London. “But when people look at it, they don’t see that at all.”

    “I like to think that one of the distinctive features of my work is its ambition to capture the imagination of anyone, not limited to the art world; to try to address complicated ideas in plain English. Anyone will recognize the trope of the man on the horse and will have a reaction to how I have manipulated it.”

    White abstract sculpture with images of a human body overlaid in areas on a white pedestal in a white room

    Resting Leaf (Joe) is from a set of autobiographical works created using hydrographics—each resin sculpture is dipped into a wet medium containing an image transfer.

    Photograph: Benjamin Westoby

    This kind of technical-conceptual wizardry is Hornby’s calling card. Favoring the screen over the sketchpad, he uses 3D modeling as the foundation for abstract sculptures that reference the art-historical canon and challenge notions of authorship—contorted mashups of works by Hepworth, Brancusi, Rodin, and more; the profile of Michelangelo’s David extruded to a single point, legible only from above.

    He started young, creating life-size terracotta figures in school while his classmates labored over simpler pots. “But then I went to art school, and it was like, I didn’t want to do pastiche of Rodin. I wanted to be part of the future. I wanted to be innovative,” he says. “So I jumped on technology.”

    At the Slade School of Fine Art in London, where he enrolled in the late 1990s, Hornby thrived in the new. There were forays into video; a semester at the Art Institute of Chicago, where he joined the artist-hacker collective Radical Software/Critical Artware; and musical experiments with MAX MSP, the object-oriented programming language employed by Radiohead in the early 2000s. But it was only after pursuing a master’s in his thirties that his career took its current shape.

    “I actually had quite a radical sea change in my relationship to tech,” he says. “I got quite frustrated by people saying, ‘Wow, that’s really cool. How did you do it?’ because I find that question really boring. I’m much more interested in the question, ‘What does it mean?’” So, over the past decade Hornby has eliminated “any form of human subjectivity,” he says. The wires and screens were obscured, the rough edges erased with laser precision. All the better to invite questions of substance rather than process.

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