Culture Magazine

Music Versus Algorithms

By Bbenzon @bbenzon
Alexis Petridis reviews Ted Gioia's current book, Music: A Subversive History:
In terms of scope, well, put it this way: it starts out talking about a bear’s thighbone that Neanderthal hunters apparently turned into a primitive flute somewhere between 43,000 and 82,000 years ago and ends up, 450 pages later, discussing K-pop and EDM. His central theory: music is a kind of magical, ungovernable force that connects us to ancient shamanistic rituals, it’s primarily fueled by sex and violence – anyone horrified by the lyrics of drill or death metal should consider that the first instruments were made from body parts and would once have literally dripped with blood – and all attempts to reduce it to mathematical formulae or “quasi-science”, while useful, go against its intrinsic nature. He’s really not keen on Pythagoras, whose mathematical theories about tuning underpin “music as it is taught in every university and conservatory in the world today”.
I didn’t agree with everything Gioia had to say, but something about that central theory stuck with me. For one thing, there is something magical and ungovernable about music: that weird tingling sensation you get when you hear something you love - a friend of mine calls it the Holy Shiver - is involuntary. It just happens. And we live in an era when music has never been more governed by mathematics. Algorithms are supposed to be able to predict everything, from what you want to hear next to whether or not a song’s going to be a hit: the digital strategist who developed the software behind the AI record label that’s just launched was also “involved in the development and marketing of stars such as Avicii, Logic, Mike Posner and Swedish House Mafia”.
For a series of anecdotes illustrating music's power, see my working paper,  Emotion & Magic in Musical Performance.

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