Crucially, SketchMaker did not rely solely on random generation; it featured a feedback loop to refine its output. Klingemann devised a “judgement module”, a custom classifier trained on examples of art versus non-art, that would analyze each new image and score its aesthetic resemblance to known artworks. This evolutionary process allowed the software to iterate toward compositions that possessed an uncanny art-like quality, effectively enabling the program to learn a rudimentary sense of taste long before deep learning became commonplace. Conceptually, SketchMaker introduced motifs that would define Klingemann’s practice: glitch aesthetics, chance-driven creativity, and the transfer of agency from artist to algorithm.
Crucially, SketchMaker did not rely solely on random generation; it featured a feedback loop to refine its output. Klingemann devised a “judgement module”, a custom classifier trained on examples of art versus non-art, that would analyze each new image and score its aesthetic resemblance to known artworks. This evolutionary process allowed the software to iterate toward compositions that possessed an uncanny art-like quality, effectively enabling the program to learn a rudimentary sense of taste long before deep learning became commonplace. Conceptually, SketchMaker introduced motifs that would define Klingemann’s practice: glitch aesthetics, chance-driven creativity, and the transfer of agency from artist to algorithm.
Crucially, SketchMaker did not rely solely on random generation; it featured a feedback loop to refine its output. Klingemann devised a “judgement module”, a custom classifier trained on examples of art versus non-art, that would analyze each new image and score its aesthetic resemblance to known artworks. This evolutionary process allowed the software to iterate toward compositions that possessed an uncanny art-like quality, effectively enabling the program to learn a rudimentary sense of taste long before deep learning became commonplace. Conceptually, SketchMaker introduced motifs that would define Klingemann’s practice: glitch aesthetics, chance-driven creativity, and the transfer of agency from artist to algorithm.