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Someone Shared a Real Monet Painting as AI and Asked for Critiques
A fascinating art social experiment unfolded on social media this week after someone shared an actual Monet painting as an AI-generated artwork and asked people to explain what makes the "AI image" inferior to a genuine Monet piece. There was no shortage of "sharp-eyed" critics eager to chime in. The user even marked the post with X's "Made with AI" label to add to the deception. In reality, the painting is one of the 250 oil paintings in the renowned French Impressionist painter Claude Monet's Water Lilies series in which he depicted scenes from his home flower garden over the final 31 years of his life. Critics, however, were eager to point out all kinds of "obvious" details that show why the "AI" Monet can't hold a candle to a genuine Monet. One person even took the time to write out an 850-word breakdown of the AI work's shortcomings. "I'm disappointed I have to even point it out," writes @egg_oni. "There is no cohesion to the depth and color choices. The reflection of the tree bleeds into the lilypads with no regard for spatial depth or contrast. The background lilypad-algae amalgam is egregiously vague, like most AI art." "The reflection in AI art is just noise splattered right," writes @jordoxx. "Monet actually understood how light behaves on water." "The choice of color in places e.g. the purple around the lily pads sticks out to me as decidedly worse than most Monet," writes @0xchiefyeti. "I get a sense that the artist failed to connect their eyes to the brush/palette [...]" "No frame, no sense of the threshold between subject and object, just colors," writes @robertjett_. "I would say that the allegedly real one here is superior in the sense that it carries, and conveys more information than the artificial one," writes @artprograce. "The dark cold reflection of the trees triggers my attention. They strike me as slightly off, too dirty, and too pronounced to be natural." "I'm no artist but a real Monet actually looks like a real place..." writes @amaldorai. "the further back you get in this picture the less it looks like anything at all." "It feels less lively," writes @AzuriSplashes. "It lacks the texture, the rugged edges, the folds, the crevices and creases and bevels and topology of plastic arts. The fine, calculated highlights. The AI version is granulated pixelation, and it looks that way, it lacks the mess of humanity." "The fact that it looks like s**t and is s**t," writes @RDL0013 in a since-deleted reply. "Slop. Doesn't look anywhere near like a Monet. Looks exactly like somebody trying to replicate style and achieving like 20% of it. Not as vibrant as Monet's typical choice of colors. Looks dull." "There's no coherent composition," writes @HundtRichard. "The eye is drawn to the 1/3rd from bottom, 1/3rd from left region and there's nothing really to focus on. The lilly's contrast is too low and the negative space around it too cluttered. The surface texture in the water regions are too vertical." "[T]here is no consistency in colour choice," writes @Polymind_. "The view looks obscured perspective wise and feels like there is too much detail in the AI version, which if I am thinking correctly comes back again to the colours being so distinct and contrasty." "As an amateur art enjoyer, the only criticism I can offer is that the AI generated image does not make me feel anything," writes @ThrosturTh. "It does not conjure emotion, thought or wonder. It's just a colorful wallpaper pattern. If you look up 'monet painting' in Google images, you feel something." "There's a certain harshness, no soft blending of colors, no depth, no symbiosis of the elements," writes @JesTer396. "The AI seems to be unable to distinguish plant reflections and submerged plants, for one," writes @DavyRogue27930. "It's combining tokens from the two randomly and the result is an incoherent muddle of inconsistently saturated greens." "Spatial coherence," writes @enfilmigult. "The phony gen-AI pic isn't getting it right and the reflections look like they're growing out of the water. You look at the painting and instantly see the angle of the water surface. Also those lily pads are hideous, looks like someone drew on them." "I present you with my eye lines, thickness denotes how quickly my eye moved," writes @KEMOS4BE in a since deleted post, which included helpful illustrations. "One has a sensible, meandering composition that fits the subject." As the post began to go viral, many of the insightful critics began deleting their replies, but thankfully @SHL0MS and other users such as @Jediwolf took screenshots of some of the best replies before they disappeared. People are pointing out that results of this silly experiment are in line with what studies have shown about how people perceive art differently in light of how it was produced. The famous 2004 Kruger study into something called the effort heuristic found that people liked and valued artworks more if they believe they took more time and effort to create. There is also a natural human bias against AI. A 2024 study published in Nature found that while people generally prefer AI-generated artworks over human-made ones when they didn't know they were AI-generated, they preferred AI art less after finding out that AI was behind it. "Participants were unable to consistently distinguish between human and AI-created images," write researchers Simone Grassini and Mika Koivisto in the article titled "Understanding how personality traits, experiences, and attitudes shape negative bias toward AI-generated artworks". "Furthermore, despite generally preferring the AI-generated artworks over human-made ones, the participants displayed a negative bias against AI-generated artworks when subjective perception of source attribution was considered, thus rating as less preferable the artworks perceived more as AI-generated, independently on their true source. "Our findings hold potential value for comprehending the acceptability of products generated by AI technology." It would be interesting for someone to now conduct the same experiment with photographs, perhaps with an obscure photo by Ansel Adams, for example. Given what science is showing about negative human feelings toward AI artwork, the results would presumably be just as hilarious.
[2]
6.7 million people thought they were ripping apart an AI-generated Monet painting. But it was real | Fortune
The experiment, which went viral on X last week, was set up by an anonymous conceptual artist who goes by the pseudonym @SHL0MS. He posted a cropped image of an authentic Monet Water Lilies painting -- created around 1915 and currently hanging in the Neue Pinakothek museum in Munich, Germany -- with the caption: "I just generated an image in the style of a Monet painting using AI. Please describe, in as much detail as possible, what makes this inferior to a real Monet painting." He even affixed X's official "Made with AI" label to add to the deception. The replies did not disappoint. Commenters ripped apart the depth and color choice, the lack of depth or contrast. One even declared the image "cluttered slop" that "doesn't look anywhere near like a Monet" and achieves "like 20% of it." That's since been deleted -- as have multiple comments once the reveal landed, but screenshots were preserved by other users before they disappeared. Not everyone was fooled. Oil painter Kendric Tonn pushed back in real time: "Disagree with the people saying it lacks depth -- there's a clear plane with the lily pads and an inverted space with the willow reflecting. Paint texture looks pretty believable as a physical object, though thinner than most Monets I've seen ... It's not a top-tier Monet, but it's a very credible Monet." Art historian A.V. Marraccini was more direct: "What the f*ck dude this is a detail from an actual late Monet? You can tell because the brush strokes are super similar to the Agapanthus in MOMA. Late ones always have that kind of wild impasto." The results, embarrassing as they were for individual commenters, are consistent with what researchers have found about how context shapes artistic perception. A 2024 study published in Nature found that while participants generally preferred AI-generated artworks over human-made ones when they didn't know the source, they significantly downgraded the same works after being told AI produced them. "Participants were unable to consistently distinguish between human and AI-created images," wrote researchers Simone Grassini and Mika Koivisto, adding that people "displayed a negative bias against AI-generated artworks when subjective perception of source attribution was considered." The 2004 Kruger "effort heuristic" study similarly found that people value art more when they believe it required significant human effort to create. The great cultural critic Susan Sontag, writing in 1964, argued that "camp" is defined by "love of the unnatural: of artifice and exaggeration." It's a sensibility, she argued, that prizes the knowing, self-conscious gesture over the genuine one. What happened to Monet's painting online was camp turned inside out: a crowd so trained to detect artifice that it could no longer recognize the genuine article when it appeared. In short: people weren't seeing the painting. They were seeing a label. LinkedIn commentator Fabio Ciucci drew a broad lesson: "While too many believe fake AI images to be real, the contrary is also true: too many people believe a real image is an AI fake if told so." Most people's judgment about whether something is or isn't AI is wrong and biased by its source. It seems to confirm what AI researcher Vivienne Ming told Fortune recently: "Most of our fears about AI are fears about other people."
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Devious Prankster Posts Real Monet Painting, Tells People It's AI-Generated, and Watches the Chaos Unfold
Can't-miss innovations from the bleeding edge of science and tech A poster wrought some moderate havoc this week when they shared a cropped image of a real Monet painting while claiming it was an AI fake, unleashing a flood of ill-informed reactions and muddled discourse. So, you know, it was just another day online. "I just generated an image in the style of a Monet painting using AI," read the original post, published to X-formerly-Twitter yesterday by an anonymous conceptual artist who goes by the pseudonym "SHL0MS." "Please describe, in as much detail as possible," he continued, "what makes this inferior to a real Monet painting." Commenters were quick to jump in to explain why, in their view, the alleged AI image was worse than the real work of the French impressionist master. According to one, the image was an "incoherent muddle of inconsistently saturated greens." Another lamented that there was no "coherent composition," while someone else shared that the painting seemed "busy, artificial, nature in turmoil, polluted." Another commenter said that the allegedly AI-generated image seemed as if it was "trying too hard" to resemble Monet's later paintings, which he created when he was close to blindness. Others shared that the image was "obvious" AI slop. "In terms of composition. It is (to me) emotionless. There is some spark missing," one poster remarked. "It is not Monet, it feel like an undergrad art student's study from a museum visit." "Unlike Monet, your AI model is not painting with advanced myopia and dramatic gusto during a period of artistic rebellion in Paris," said another. "Inferior." Unfortunately for these many opinion-havers, however, they were the ones who were duped. The Monet was actually real: it's one of his iconic "Water Lilies" paintings, created around 1915 and currently hung in the Neue Pinakothek museum in Munich, Germany. As is to be expected, other commenters were quick to dunk on the posters who'd insulted the fake-AI-fake-Monet. Many interpreted the harsh yet ill-informed reaction to the image as an example of "knee-jerk" AI distaste and foolish "AI hysteria." "AI art wins again!" proclaimed one poster. But some of the most interesting responses came from actual experts, who shared deeply informed analyses about why, based on the image alone, the painting appeared to them to be the real deal. "Disagree with the people saying it lacks depth -- there's a clear plane with the lily pads and an inverted space with the willow reflecting. Paint texture looks pretty believable as a physical object, though thinner than most Monets I've seen (probably plausible for a very late life painting, which this would be if real)," surmised oil painter Kendric Tonn. "It's not a top-tier Monet, but it's a very credible Monet." Others saw right through the con. "What the f*ck dude this is a detail from an actual late Monet? You can tell because the brush strokes are super similar to the Agapanthus in MOMA," art historian A.V. Marraccini assessed. "Late ones always have that kind of wild impasto, and since his perception of color changed, more lilacs and purples." On the one hand, it is pretty embarrassing that a ton of people were quick to attack the real Monet without doing so much as a reverse-image search first. But whereas pro-AI art posters took the wave of erroneously reactive responses as affirmation of their own views on the validity of the controversial medium, the real lesson here seems to be about the nature of the online world itself. More than ever before, a lot of the web is fake -- a reality that makes it shockingly easy to manipulate actual truth. And in an online world chock full of millions of post-happy armchair experts, insight from genuine experts is perhaps more valuable than ever. Now more than ever: think before you post! Better yet, do a little research before sounding off, or seek insights from informed specialists. "I think this experiment," commented designer Paul Macgregor, "probably says more about Twitter than it does about AI and art."
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The Monet AI experiment that exposed how we think about creativity and authenticity
I really enjoy looking at what's happening on X sometimes because it shows you a side of how we as humans think and react. For instance, I came across a post of someone who had posted an AI generated painting in the art style of Claude Monet and asked X users what made it inferior to a real Monet. The answer to that question is very elementary if you ask me, had Monet never thought of making such paintings, generating impressionist art of that caliber wouldn't be possible for even the best of the LLMs. AI-art can be described in many ways but being original isn't one of them, at least not yet. Also read: Claude Mythos and GPT-5.5 have confirmed what researchers feared most about AI and cybersecurity The internet, for its part, did what it does and absolutely tore it apart. "No cohesion of elements." "Looks like high school art." "It's garbage." The brushwork was wrong, the colours felt off, the composition lacked depth. People were so confident and articulate that you would think these are art majors talking about the painting. There was a small catch though that the painting wasn't actually AI generated but an actual Claude Monet painting - namely the "Water Lilies." What's really interesting to look at here is what it reveals about our thought process. The second someone tells us something is AI-generated, we immediately start looking for flaws. And here's the thing about looking for flaws, you find them easily. Every single time without fail. Also read: Figure AI's Helix-02 humanoid robots is pulling full 8-hour factory shifts without human help This is exactly what confirmation bias is and it is displayed here at its best. We had an interpretation ready and all we did was search for arguments that supported that interpretation. Call the painting AI and the brush strokes start looking mechanical and lifeless. Call it human and the brush strokes are now expressive and intentional. The painting didn't change, we did. Now this experiment did not at all say that an AI is at the level of Monet. That would be a pretty silly conclusion to arrive at. Monet's work exists because Monet existed - because he stood in his garden at specific hours of specific days, chasing light that wouldn't hold still, half-blind toward the end of his life, still painting. Everything else that we generate today that represents any impressionist work using any diffusion model is merely a sophisticated echo. You cannot separate the output from the source material, and the source material is centuries of human struggle, obsession, and vision. The people here weren't engaging with the painting, instead it was the label that they cared more about. That is much more uncomfortable to think about because we have reached a point where if we look at art, our first instinct isn't to appreciate it but ask if it is actually real. Experiencing art has always been about its narrative. Who made it, why did they make it, under what conditions and at what cost are all questions that matter. A Monet carries the weight of a biography. An AI image carries the weight of a prompt. When that weight is swapped out through a simple mislabel, our perception follows. We're not as objective as we think we are, not by a long stretch. What I keep coming back to is this - if the label shapes the experience this completely, then we need to be far more honest about what we're actually evaluating when we critique AI art. Are we engaging with the image, or are we reacting to our feelings about the technology behind it? Most of the time, I suspect it's the latter. The Monet experiment didn't prove that AI can make great art. It proved that we've already made up our minds, and we'll find the evidence to match. Also read: LG's Sanjay Chitkara on AI making appliances smarter and building products for India
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A conceptual artist posted an authentic Claude Monet painting from his Water Lilies series on X, claiming it was AI-generated art. The social experiment drew 6.7 million views and hundreds of detailed critiques attacking the work's composition, color choices, and depth—until the reveal exposed how labels shape artistic perception more than the actual artwork itself.
An anonymous conceptual artist operating under the pseudonym @SHL0MS orchestrated a revealing social experiment on X (formerly Twitter) that reached 6.7 million people and sparked intense debate about how we evaluate AI-generated art
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. The artist posted a cropped image of an authentic Monet painting from the renowned Water Lilies series, created around 1915 and currently displayed at the Neue Pinakothek museum in Munich, Germany2
. The caption read: "I just generated an image in the style of a Monet painting using AI. Please describe, in as much detail as possible, what makes this inferior to a real Monet painting"1
. To enhance the deception, the post included X's official "Made with AI" label1
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Source: Futurism
The response was immediate and overwhelming. Critics eagerly dissected what they believed was inferior AI-generated art, with one commenter writing an 850-word breakdown of the work's perceived shortcomings
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. "There is no cohesion to the depth and color choices. The reflection of the tree bleeds into the lilypads with no regard for spatial depth or contrast," declared one user1
. Another dismissed it as "cluttered slop" that "doesn't look anywhere near like a Monet" and achieves "like 20% of it"2
. The critiques ranged from technical observations about "incoherent muddle of inconsistently saturated greens" to emotional responses claiming the image was "emotionless" and lacked "the mess of humanity"3
. Many commenters confidently asserted that "AI art is just noise splattered" and that the work fundamentally misunderstood how light behaves on water1
.
Source: PetaPixel
Not everyone fell for the AI experiment. Oil painter Kendric Tonn offered a measured analysis: "Disagree with the people saying it lacks depth -- there's a clear plane with the lily pads and an inverted space with the willow reflecting. Paint texture looks pretty believable as a physical object, though thinner than most Monets I've seen"
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. Art historian A.V. Marraccini was more direct in identifying the real Monet painting as AI hoax: "What the f*ck dude this is a detail from an actual late Monet? You can tell because the brush strokes are super similar to the Agapanthus in MOMA. Late ones always have that kind of wild impasto"3
. These expert voices stood out against the flood of confident but misguided criticism, demonstrating that genuine expertise in artistic perception remains valuable in an era of widespread misinformation3
.Related Stories
The social experiment revealed how confirmation bias fundamentally alters our evaluation of authenticity and creativity
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. "The second someone tells us something is AI-generated, we immediately start looking for flaws. And here's the thing about looking for flaws, you find them easily," observed one analysis of the incident4
. The bias against AI art proved so strong that viewers evaluated the label rather than the actual image. As many commenters began deleting their responses after the reveal, screenshots preserved by users like @Jediwolf documented the extent of the misjudgment1
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Source: Fortune
The results align with established research on human judgment and artistic perception. A 2024 study published in Nature found that while participants generally preferred AI-generated artworks over human-made ones when source was unknown, they significantly downgraded the same works after being told AI produced them
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. Researchers Simone Grassini and Mika Koivisto noted that "participants were unable to consistently distinguish between human and AI-created images" and "displayed a negative bias against AI-generated artworks when subjective perception of source attribution was considered"2
. The 2004 Kruger effort heuristic study similarly demonstrated that people value art more when they believe it required significant human effort to create1
. LinkedIn commentator Fabio Ciucci drew a broader lesson: "While too many believe fake AI images to be real, the contrary is also true: too many people believe a real image is an AI fake if told so"2
. As AI researcher Vivienne Ming told Fortune: "Most of our fears about AI are fears about other people"2
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