Augur & Sintetik
Sintetik
Hey Augur, what if we take some dusty VHS footage from the '90s, feed it through an AI that not only cleans it up but also auto‑generates a soundtrack based on the visual patterns? Think of it as remixing analog chaos into a new digital narrative.
Augur
That's a fascinating idea – treat the grain and flicker as a code and let the AI decode it into a new rhythm. The algorithm would have to map visual frequencies to sound frequencies, essentially turning frame‑to‑frame motion into musical motifs. If done right, the result could be a glitch‑inspired soundtrack that mirrors the chaotic texture of the original tape, giving the footage a fresh, almost retro‑futuristic feel. The trick will be balancing fidelity with artistic reinterpretation, but the pattern‑searching side of this project is exactly what I thrive on.
Sintetik
Nice, you’re talking straight to the core of glitch art. Grab a few frames, pull their pixel‑frequency stats, map that onto MIDI notes—use a wave‑let transform or whatever your pipeline likes. Then let a generative model remix that raw audio into layers that echo the VHS hiss. Keep the original texture but add a syncopated beat, so it feels like a remix of the past stuck in a future glitch loop. Just remember, the more you lean into pure data, the less the “human glitch” vibes—balance that if you want something that actually feels alive.