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Anti-AI Critics Pile On a Real Monet After Anonymous X Account Labels It as AI
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Summary Report
An anonymous X account labelled a real Monet water lilies painting as AI-generated and asked critics to describe its flaws. Hundreds piled in, including self-styled art experts. The image was a real Monet.
- 01. SHL0MS posted a cropped, high-resolution photograph of a Monet Nymphéas canvas on X.
- 02. The post falsely tagged the image as AI-generated using X's "Made with AI" label.
- 03. Hundreds of replies critiqued the brushwork, composition and colour as inferior to a real Monet.
- 04. SHL0MS revealed 24 hours later that the image was a genuine Monet.
- 05. The stunt exposed how reflexive AI aversion has become a substitute for actual visual judgement.
An anonymous X account called SHL0MS conducted a revealing experiment on AI bias by posting a genuine Monet water lilies painting whilst claiming it was AI-generated. The user cropped a high-resolution photograph of an actual Nymphéas canvas, added the caption "i just generated an image in the style of a Monet painting using AI", and ticked X's "Made with AI" tag.
The response was immediate and damning. Hundreds of users queued up to explain why the image was clearly inferior to authentic Monet works, citing issues with brushwork, composition, and colour palette. Self-proclaimed art experts joined the chorus of criticism, confidently dissecting what they believed were telltale signs of artificial generation.
Twenty-four hours later, SHL0MS revealed the deception, showing that the image was indeed a real Monet painting. The revelation highlighted how deeply ingrained AI aversion has become in online discourse, with the simple "Made with AI" label serving as sufficient justification to dismiss even masterpiece artwork.
The experiment exposes a troubling trend in digital culture where bias against AI-generated content has become so reflexive that it overrides careful observation. Rather than evaluating art on its visual merits, critics allowed preconceptions to shape their analysis, demonstrating how labels and context can fundamentally alter perception of the same visual information.