Terence Broad’s AI-Generated Artwork: A New Frontier in Creativity

If you stumbled across Terence Broad’s AI-generated artwork ((un)stable equilibrium on YouTube, you might assume he trained a model on the works of the painter Mark Rothko – the earlier, lighter pieces, before his vision became darker and suffused with doom. Like early-period Rothko, Broad’s AI-generated images consist of simple fields of pure color, but they are morphing, continuously changing form and hue.

However, Broad did not train his AI on Rothko; he did not train it on any data at all. By hacking a neural network and locking elements of it into a recursive loop, he was able to induce this AI to produce images without any training data – no inputs, no influences. Depending on your perspective, Broad’s art is either a pioneering display of pure artificial creativity, a look into the very soul of AI, or a clever but meaningless electronic by-product, closer to guitar feedback than music. In any case, his work points the way toward a more creative and ethical use of generative AI beyond the large-scale manufacture of derivative content now permeating our visual culture.

Broad has deep reservations about the ethics of training generative AI on other people’s work, but his approach raises important questions about originality and creativity in the digital age. As generative AI continues to evolve, the implications of its use in art and other creative fields become increasingly significant.

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