Ahahah! Thanks for the clips and good points! And in spite of how formulaic pop music is at the composition level, I still think it would be harder to AI a convincing pop song than a classical piece, because so much of pop's information is encoded in performance, which ironically is thanks to the ability to record instead of notate. You are right that it would be much harder to fool an advanced listener. To me the videos you shared say something about this whole AI problem and the future of the music market, which is that interactivity and engagement with creation in musical forms and performances will replace the traditional performer/audience role format. I think the problem of artificiality, which we might as well call the ease by which music can be entirely reproduced by algorithm won't work in the traditional mode of performer/audience. Instead all the power to cast musical forms that are effective at entering and altering the psyche of the individual listener will be sublimated and abstracted just beyond their conscious intention, so that they can become a player in the musical work. This is what happens now too, and it is why the AI performer won't work unless as a hoax in our current format - the participation and identification with the singer are fundamental to the music experience. Those country singers are singing about manly things: mostly getting girls into bed. You may be able to program a compute algorithm to crank out shallow man tunes like that, however it will have to also be tuned in to the culture of the times, because I can hear a lot of change in those country tunes than country tunes of ten years ago. There are layers and layers. But primordially, there is identification with cultural realities, and these might well be generated by machinery, and already are, however they will fundamentally align with the desires of the human creator, unless someone creates an artificial consciousness to compete with our human one. So bar that, musical AI will enhance and entice us towards a deeper and better human experience, which the machine knows not!