# Refik Anadol uses scientific terms to mask aesthetic choices as data-driven art

Source: https://firefly.social/post/x/2035678979697320340

## Summary

Refik Anadol's data-based artworks use scientific terms such as "fluid dynamics," "latent space," and "algorithmic brushstrokes" to lend authority to what the article describes as aesthetic choices. The article argues that the link between input and output is arbitrary: bird sounds could be mapped to any color or motion depending on the artist's mood, and replacing them with vacuum cleaner sounds under the same mapping would still produce a "mesmerizing" visual. It further contends that phrases like "artificial intelligence is dreaming" present basic statistical regression as something magical, and that the data serves as a storytelling and marketing device rather than a technical necessity.

## Article

Refik Anadol’s work frequently employs terms like “fluid dynamics,” “latent space,” and “algorithmic brushstrokes,” which give the viewer a false sense of intellectual depth. But the reality is this: these terms often serve to mask the artist’s aesthetic choices behind a façade of scientific authority.

When the artist says, “I am visualizing bird sounds recorded in a forest,” the viewer is led to believe that the resulting image is a natural and objective representation of those sounds. However, as discussed earlier, the direction of the flow or the choice of color is entirely arbitrary. In a scientific experiment, input A should consistently produce output B, or at least the relationship should be demonstrable. Here, however, input A (bird sound) can be transformed into color C or motion D depending on the artist’s mood that morning. This is not an experiment; it is simply decoration.

Phrases like “artificial intelligence is dreaming” or “data sculpture” mystify technical processes. Calling a pixel-generation process based on statistical probabilities “dreaming” is nothing more than presenting a basic mathematical regression as something magical. This causes the work to derive its power not from its own aesthetics, but from the “coolness” of science and technology.

If we were to replace the bird sounds with the sound of a vacuum cleaner using the same “mapping” settings, we would still obtain a “mesmerizing” visual.

In other words, the beauty of the image does not come from the essence of the data, but entirely from the artist’s graphics engine.

In this context, extracting data from bird sounds is not a technical necessity, but rather a storytelling device—a marketing element of the project.

Wrapping data in a scientific veneer reinforces the illusion that the work is “meaningful.” But once this illusion dissolves, what remains is merely a high-resolution “screensaver.” Real science uses data to understand reality; this kind of “art,” by contrast, uses data merely as spectacle.

Instead of saying, “I shaped this data according to my own will and created something beautiful,” the artist claims: “Through scientific algorithms, I revealed the hidden architecture of the data.” This rhetoric is nothing more than putting on a mask of scientific authority to influence the viewer.

This form of pseudo-scientific framing is monetized; data is dramatized, the viewer is drawn into a sense of technological awe, and reality is obscured through spectacle.