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This is the best part about data science, that should really just jump right out at you, and if it doesn't then please, please, please never try to apply data science to anything by yourself, because you will be sealing people into tombs of misery.

The point here, is that if you look at 1,300 shitty songs, and try to learn about what music is, with those as your example, you are setting yourself up to just make more terrible music.

Maybe a more readily tangible example is: if you were to try and learn about how to create fake dating profile images, but only learned with profile pics of ugly people, then all of your fake dating profiles will probably be unattractive, and they'll never fetch a second look, much less dates.

I mean, this guy cites:

  Celine Dion 
  Taylor Swift
  Pharrell Williams
  Adele
  Bruno Mars
  3 Doors Down
  Green Day
  Lady Gaga
  Gorillaz
  Linkin Park
  Avril Lavigne
  Daft Punk
This tripe (and I mean tripe) has been forced down my throat for decades, and it still is incredibly terrible.

I don't ever want to learn anything about music from this music. It's awful. It all needs to burn. And if you locked me in a room with AI that learned how to create music with these examples as it's template, I'd probably climb the walls and eventually commit suicide. I mean, I'm half way there as it is, and yes, I do blame this kind of music, at least in part.



> I mean, this guy cites:

Well...you seem to know a lot about artists whose music you abhor...I'm curious to see what artists/genres you'd recommend :-)




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