Real Monet painting shared as AI exposes how labels shape our judgment of art

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.

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