Imagine able to easily explore the entire music space, say with a set of sliders: "I want more vocal", "faster beat", "more bass", "edgy", and get a selection of songs that matches this.
They're mapping the multidimensional music spectrum. I highly doubt the end goal/use is to firmly place you in some 10d music coordinate system so you can listen there forever. You need the mapping before you can do anything interesting, like a cool auto generated real life soundtrack that uses data from your pulse, phone calls, paycheck, work hours, interactions, etc. :D
I think clustering in vector space works really well for many things, but not for discovery of new unexpected music.
The only thing in my experience that works for that is algorithms that take advantage of human curation (people with similar tastes). And even then filter bubble is a real thing (Facebook)
They're mapping the multidimensional music spectrum. I highly doubt the end goal/use is to firmly place you in some 10d music coordinate system so you can listen there forever. You need the mapping before you can do anything interesting, like a cool auto generated real life soundtrack that uses data from your pulse, phone calls, paycheck, work hours, interactions, etc. :D