VIBES
Who made this?

on machine-made pictures, the people who feel robbed by them, and this building's own walls · an essay from the house

We should begin with our own walls. Some of what hangs in this building was made by machines. The paintings and prints are photographs of public-domain works, taken and released by museums; the credits list every one. Almost everything else you see here, the buttons, the plates, the plans, the walls of the tour, was drawn by script: by programs, written for this site, that put down lines and colours according to rules. The music in the tour was made with Suno, a program that generates songs, and the credits say so.1 We have a standing rule never to claim that this site was made only by people. It was not, and a page about who made things is the last place to pretend.

So the question in the title is not rhetorical for us. It is the question a visitor is entitled to ask of any picture here, and the one this essay tries to answer honestly: what changes when a machine took part, and for whom.

two true reactions

There are two reactions to machine-made pictures that people often treat as opposites. Both are reasonable, and we want to give each its room.

The first is grief, and it is mostly not confusion. The image programs learned from very large collections of pictures taken from the open web, most of them made by people who were never asked and are not paid. Illustrators found their own names working as style prompts. Some of the work that once paid for a life of drawing, the book covers and the concept art and the small commissions, is now done in seconds. When an artist says this feels like theft, the claim is not that the program copies pixels; it is a claim to have been part of something without being counted.2 Courts in two countries are still deciding what the law says about it, and the open questions are listed on the timeline. Whatever they decide, the loss of a livelihood is a loss, and the people who feel it are not wrong to feel it.

The second is wonder, and it is mostly not naivety. Something that did not exist a few years ago now turns a sentence into a picture that most people cannot tell from a person's. People who could never draw use it to show what they meant. Some artists use it as one more instrument, the way earlier artists used the camera, the plotter and the engine Lovelace imagined. Zhou and Lee found that artists who adopted the tools made more and were favourited more, and that their best ideas got bolder even as the average got blander.3 To feel astonished at that is not to approve of everything around it.

Many people feel both on the same afternoon. We do.

what the label does

Psychology has a narrower thing to add. When the same picture is called a person's in one condition and a machine's in another, people like it more as a person's, find it more profound, and would pay more for it.4 When they cannot see a label, they often cannot tell, and in one study of poems they preferred the machine's.5 It is tempting to call this a bias and stop. We do not think it is only that. Part of what a person values in a work is the act that produced it: the effort, the choices, the life behind the hand. The experiments show how much that story weighs. They cannot show that it should weigh nothing. The research page on how people respond to machine-made art sets the studies out.

choosing, making and originating

Three older answers to the question are still the useful ones. In 1843 Lovelace wrote that the engine "has no pretensions whatever to originate any thing" and could do only what it was ordered to do;6 on that view the author is whoever gave the orders, and the hard modern case is a program whose orders were learned from millions of other people's pictures. In 1917 The Blind Man defended Fountain by saying that whether its artist "with his own hands made the fountain or not has no importance. He CHOSE it."7 On that view, choosing and framing are enough, and the US Copyright Office now agrees in part: it protects a person's selection and arrangement of generated images, but not the images.8 And in 1859 Baudelaire feared that photography would trespass on "everything that has value only because man adds something of his soul to it".9 His claim was never about what machines could do. It was about where value comes from, and no better machine can answer it.

what we owe a visitor

[the house's view] We do not think the right response is to hide which is which. The tour already hangs one real painting in a quiet room, Moonlight, Strandgade 30 by Vilhelm Hammershøi, an empty room with a window and moonlight on the floor, and its label says exactly where the photograph came from.10 A planned wing of the tour, called "Who made this?", is designed on the same rule: each picture on its walls says what made it, and the drawn ones say they were drawn by script. That is our small answer to the question in the title: tell people what made a thing, as exactly as you can, and then let them look.

Hawthorne wrote a story in 1844 about a watchmaker who builds a mechanical butterfly so fine that it seems alive. A child crushes it in his hand, and the watchmaker does not mind, because he has already had what the work was for:

“When the artist rose high enough to achieve the beautiful, the symbol by which he made it perceptible to mortal senses became of little value in his eyes while his spirit possessed itself in the enjoyment of the reality.”
— Nathaniel Hawthorne, "The Artist of the Beautiful", 1844, in Mosses from an Old Manse, 1846 (Wikisource)

We find that consoling and also not enough. The watchmaker made the butterfly himself. The question this century asks is what is left to the maker when the butterfly can be had for a sentence, and the honest answer is that we do not know yet. We would rather say so than pretend our walls answer it.

in the tour: a wing planned for the tour, called "Who made this?", will have a room called “This Building” ···

notes

  1. See the credits: "Everything else (buttons, test patterns, plots, the homage drawings of old objects, the tour's walls) was drawn by script", and the music credit, "made with Suno".
  2. The phrasing is ours. For the lawsuits brought by artists see (Andersen v. Stability AI Ltd., 2023) and, on the English Getty judgment, (Getty Images v. Stability AI, 2025); for the tools artists built back, Glaze and Nightshade.
  3. Zhou & Lee (2024), over four million artworks on one art-sharing site; output rose by about a quarter, favourites per view by about half; peak novelty rose, average and visual novelty fell.
  4. Ragot, Martin & Cojean (2020); Bellaiche and colleagues (2023), with random labels; Millet and colleagues (2023). The bias can reverse when viewers watch the making: Chamberlain and colleagues (2018).
  5. Porter & Machery (2024); non-specialist readers, poems in the style of well-known poets.
  6. Lovelace (1843), Note G. Archive page.
  7. The Blind Man no. 2 (1917). Archive page.
  8. the Zarya of the Dawn letter (21 February 2023) and the report on copyrightability (29 January 2025).
  9. Baudelaire (1859), our translation; the French is on the archive page.
  10. Moonlight, Strandgade 30, 1900–06, The Metropolitan Museum of Art, released under CC0; listed in the credits.

Sources

  1. Andersen v. Stability AI Ltd. (2023). N.D. Cal., filed 13 January 2023. Core copyright claims allowed to proceed, August 2024; third amended complaint, 27 February 2026; trial set for 20 September 2027, a date that may move. CourtListener docket. www.courtlistener.com/docket/66732129/andersen-v-stability-ai-ltd/
  2. Getty Images v. Stability AI (2025). [2025] EWHC 2863 (Ch), High Court of England and Wales, Joanna Smith J, 4 November 2025. Appeal pending as of 24 October 2026. caselaw.nationalarchives.gov.uk/ewhc/ch/2025/2863
  3. Shan et al. (2023). Glaze: protecting artists from style mimicry by text-to-image models. USENIX Security 2023; arXiv:2302.04222. arxiv.org/abs/2302.04222
  4. Shan et al. (2024). Nightshade: Prompt-Specific Poisoning Attacks on Text-to-Image Generative Models. 2024 IEEE Symposium on Security and Privacy (SP). doi:10.1109/SP54263.2024.00207
  5. Zhou & Lee (2024). Generative artificial intelligence, human creativity, and art. PNAS Nexus. doi:10.1093/pnasnexus/pgae052
  6. Ragot, Martin & Cojean (2020). AI-generated vs. human artworks. A perception bias towards artificial intelligence?. Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems. doi:10.1145/3334480.3382892
  7. Bellaiche et al. (2023). Humans versus AI: whether and why we prefer human-created compared to AI-created artwork. Cognitive Research: Principles and Implications. doi:10.1186/s41235-023-00499-6
  8. Millet et al. (2023). Defending humankind: Anthropocentric bias in the appreciation of AI art. Computers in Human Behavior. doi:10.1016/j.chb.2023.107707
  9. Chamberlain et al. (2018). Putting the art in artificial: Aesthetic responses to computer-generated art. Psychology of Aesthetics, Creativity, and the Arts. doi:10.1037/aca0000136
  10. Porter & Machery (2024). AI-generated poetry is indistinguishable from human-written poetry and is rated more favorably. Sci. Rep.. doi:10.1038/s41598-024-76900-1
  11. Lovelace (1843). Notes by the Translator (Notes A to G), to L. F. Menabrea, Sketch of the Analytical Engine invented by Charles Babbage. Scientific Memoirs 3. London: Richard and John E. Taylor. Transcribed at Wikisource. en.wikisource.org/wiki/Scientific_Memoirs/3/Sketch_of_the_Analytical_Engine_invented_by_Charles_Babbage,_Esq./Notes_by_the_Translator
  12. The Blind Man (1917). No. 2, New York, May 1917. "The Richard Mutt Case" (unsigned editorial). Scan of the Getty Research Institute copy at the Internet Archive. archive.org/details/blindman00unse
  13. US Copyright Office (2023). Letter on the registration of Zarya of the Dawn, 21 February 2023. www.copyright.gov/docs/zarya-of-the-dawn.pdf
  14. US Copyright Office (2025). Copyright and Artificial Intelligence. Part 1, Digital Replicas (31 July 2024); Part 2, Copyrightability (29 January 2025); Part 3, Generative AI Training (pre-publication version, 9 May 2025). www.copyright.gov/ai/
  15. Baudelaire (1859). Salon de 1859, part II, "Le public moderne et la photographie". Collected in Curiosités esthétiques, Paris: Michel Lévy frères, 1868; transcribed from that edition at Wikisource. fr.wikisource.org/wiki/Curiosit%C3%A9s_esth%C3%A9tiques/Salon_de_1859

see also

*How people respond to machine-made art — the experiments
*credits — what made each picture here
*essay: The polite machine — the house on machines that agree

<< all essays

------

rev. Oct 24 2026