Imagine a world where the Police never broke up?
This is important to recognize, yes, but it's also important to realize that for every 1 AI agent that writes a hit, there's going to millions others (or more) crunching away at songs that aren't hits (like musicians currently, but many more, working more hours, and pumping out many more songs each).
The next 10 hits don't need to all come from the same AI musician to "take over" pop. They just need to come from 10 of millions others all competing with each other (and humans) for those top spots.
Even with current technology, this really isn't so much a music generation problem as it is a filter problem asking "how do you know which of these billion (generated or not) songs are going to be hits?".
Evidence is against you.
The number of radio stations that play something "new" are VASTLY outnumbered by the radio stations that play the same things over and over and over.
If we start removing things which sound almost identical (See: modern "bro" country, etc.), the number of places where you can get exposed to new music dwindles to effective zero.
That's true. I'm not really convinced it's a reflection of what people want though, so much as a reflection of the bare minimum necessary to satisfy listeners.
I feel it's a bit of a self-fulfilling prophecy though --- it sells because it's there.. but everyone complains about it.
And it's there because it's easier for companies to repeat the same thing than to make something new. It's not necessarily a reflection of what people want. It's more like.. the lowest common denominator.
I think in the end, play time and music popularity are much more complicated social phenomena than whether people think a song "is good" or not.
However, maybe you're right in that this phenomenon could play to the benefit of AI-generated music. But I really think it will hit the limits of people's patience, quickly.
If I can filter 90% in 2 sec, you can probably machine learn it. Of course, if after you filter out the easy stuff, you still have heaps of songs, there will be a problem.
But I think the solution will still be some form of machine learning. So we'll have a long automated pipeline filtering out stuff, and only surface for human rating a minuscule amount. Gems will be thrown away, but it won't matter.
Me, I wait for the day when algorithms will invent a new genre (house/trance/drum&bass/dubstep/trap/???).
And one thing that keeps coming to my mind. Can "good music" be absolutely rated? Will eventually advanced computers consider our music good? Will they "like" completely different music, which sounds like garbage to us? Or to put another way, how much of music depends on general intelligence, and how much on the specific realization of said intelligence (brain/culture)
I hope you are being sarcastic :) Even though pop songs aren't that imaginative, exponential growth means causes problems. We can't count all ways of ordering 52 cards using all the computers in the world in the history of the universe, and I bet one could come up with an algorithm for creating pop songs, one per ordering of a deck of cards.
It's 52!, or 80658175170943878571660636856403766975289505440883277824000000000000.
Enumerating them is where it starts to get tricky.
Human ears & taste/preferences drastically, inherently reduce the set. It's a deck of 9 or 10 cards, not 52.
That apparatus already exists and is quite functional. Are you fully in charge of choosing what music you discover and end up liking? Are you sure?
Really? Yes there are some intervals that we have discovered/learned in our audio spectrum, but the fact that you can so confidently discredit something highlights your ignorance. Unfortunately, life ain't no engineering problemo
What would you say that is?
Your answer has to be detailed enough that a computer can understand it.
There's a lot of patterns to pop songs but there's patterns in all music. I haven't seen any function that inputs x and outputs a pop hit.
The creation part will ultimately end up being the trivial aspect. Figuring out which of the billion songs AI create are any good will be the more difficult, time consuming filtering / discovery aspect (that will process partially at human-speed).
AI will create vast amounts of content/goods in the relatively near future (of all types, from VR worlds to pop songs to physical things automatically made by printing). A large industry will spring up around filtering that, deciding what's good, to then serve it up to people for popular mass consumption.