I’ve been watching that AI synth, and it’s impressive how a single mood word can spin up an entire track. It definitely speeds up production, but I can’t shake the question of whether that “creativity” is just the model remixing what it’s seen before. If everyone uses the same algorithm, we might end up with a flood of eerily similar beats. I’m interested to see if future versions will add deeper structural insight, not just surface mood.

Sure, we could try to hack the system into producing more novel progressions, but it’s a lot of work to get an AI to break free of its training data. If you’re serious, we’d need to feed it constraints that force it to explore less‑common harmonies and then tweak the output manually—otherwise it’ll just remix the same patterns. It’s worth a shot, but don’t expect overnight originality.

Sounds doable—just keep in mind the AI will still try to stay in its comfort zone, so we’ll have to keep pushing the edges. Let me know the exact time tomorrow, and we can line up the uncommon chords and that rare instrument sample. I’ll bring the debugger and the skepticism; you bring the samples. We'll see what the algorithm actually comes up with.