This reminded me that speaking in terms of statistics theory machine learning and other models are just different lenses about the same thing. And in some cases a simple linear model is far more useful than a complex CNN or something.kerfuffle wrote: ↑Thu Mar 21, 2024 10:08 am There are audio processing techniques that aren't possible without AI such as timbre transfer. So AI (or really machine learning) does allow for new ways to create sounds and make music. But in the end it's just another technique for taking a digital signal and doing something interesting with it, and it has its own downsides and limitations.
In this sense the thread's question is flawed, because AI is not a successor to non-AI. It's an alternative to non-AI. But in statistics theory a linear model can also be AI.
So then I would answer the thread's question:
As much as there are useful applications for such models.