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In 1906, US composer and marching band king John Philip Sousa wrote an article for Appleton’s Magazine titled The Menace of Mechanical Music. In it he bemoaned devices with the ability to “sing for us a song or play for us a piano, in substitute for human skill, intelligence, and soul”.
Sousa was worried the gramophone and the player piano, by making it possible to hear music without the presence of musicians, would lead to the decline of musical education and culture. Was he right?
Over the past century, we have listened to music via radio, vinyl, tapes, CDs, mp3s and Spotify, while inventions like electric guitars, synthesisers, samplers, autotune and affordable software have transformed the way music is made. All these technological changes have had cultural ramifications, from the birth of recording artist megastars to the way today’s pop is optimised to soundtrack viral video snippets. And of course, music continues to play an enormous role in our lives.
The latest change to the game is generative music: following in the footsteps of AI text and image generators like ChatGPT and DALL-E, new apps called Suno and Udio can generate entire songs on demand from a simple text prompt.
Researcher and music producer Oliver Bown has been working with various creative technologies for the past 15 years, and the current pace of change, he writes, “has floored me”. The current wave of AI tools are so good, in Bown’s view, that the discussion of whether computers can make “real” music is all but over.
You can listen to some of Bown’s AI-assisted creations (or perhaps AI’s Bown-assisted creations) in his article, and make up your own mind.
And what about the cultural ramifications? Will AI be putting composers and producers out of work? Not any time soon, Bown thinks. The real impact is likely to be for consumers: summoning up songs on demand for friends’ birthdays or to make jokes, or simply exploring possibilities for entertainment.
Meanwhile, one thing that hasn’t changed in the past century is tussles over intellectual property. Sousa complained of companies that would “take an artist’s composition, reproduce it a thousandfold on their machines, and deny him all participation in the large financial returns” – and today’s generative AI, trained on vast bodies of work produced by humans, often without their consent or knowledge, is triggering similar concerns.
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Michael Lucy
Science Editor
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Oliver Bown, UNSW Sydney
‘Uncanny’ AI music generators blur the line between creators and consumers. Will they turn music from high art to an everyday language? Listen to these AI-generated tracks and judge for yourself.
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Podcasts
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Dean Lewins/AAP
Michelle Grattan, University of Canberra
In this podcast, we're joined by Dr Anne Summers, a longtime writer and advocate on women's issues to discuss the horrific number of women murdered this year.
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TSViPhoto/Shutterstock
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Shutterstock.
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The Conversation AU
Melbourne VIC, Australia
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The Conversation AU
Melbourne VIC, Australia
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Full Time
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