I wanted to start a broader creative experiments thread around AI Music Generation.
A useful angle is evaluation, but it also connects with security. Different tools and workflows can produce very different results even when the goal is similar.
It would be interesting to compare practical examples, experiments, setups, or lessons that show where AI Music Generation is genuinely useful and where it still needs improvement.
A useful angle is evaluation, but it also connects with security. Different tools and workflows can produce very different results even when the goal is similar.
It would be interesting to compare practical examples, experiments, setups, or lessons that show where AI Music Generation is genuinely useful and where it still needs improvement.