AI music fed to AI music generator: Suno Feeding Suno

David Jhave Johnston (June, 2024)

Playing with recursive feeds. AI eats AI.

Process: generate AI music, remix, upload remix, and 'extend' the remixed-AI-music with AI.

Motivation: usually the extensions emulate the music style, replicating without much variation. Uploading custom remixes with multiple interspliced modes provides a very quick lithe agile sense of music, sometimes experimental and less likely to settle into some arbitrary niche cliche.

Conclusion: AI will stimulate music composition. Effortlessly flowing between modes, genres, styles and forms, synthetic composers radically offer a complex nuanced mirror of audio-creativity.

Addendum: Future AI music generators will listen and adapt intuitively to human accompanists, just as sensistive musical stylists have gently absorbed and conversed, challenged and enjoyed each other.

Caveat: These are unfinished experimental fragments. They end and start abruptly. Banal pop-stadium cliches inter-weave with deft brilliance. For most, unlistenable, yet for those open to it, intriguing.