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AI & Lo-Fi: How Robots Took Over the 'Beats to Study To' Scene

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Manage episode 522247023 series 3670994
Content provided by Ran Chen. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Ran Chen or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.
Have you ever wondered who's behind the endless stream of "beats to study to" that dominate YouTube and Spotify? While you might picture a dedicated artist in a cozy studio, the truth is increasingly more complex and technological. The real artist might just be an algorithm. This episode pulls back the curtain on the lo-fi music scene, revealing how artificial intelligence has become the perfect, tireless producer for this genre. We explore why the simple, repetitive nature of lo-fi makes it incredibly easy for AI to replicate and generate, leading to an explosion of content that perfectly feeds the hungry algorithms of streaming platforms. This isn't just about technology, it's about a fundamental shift in how background music is created, consumed, and monetized. **What You'll Learn:** - Why has lo-fi music become AI's favorite genre to generate? - How do 24/7 "study beats" radio stations play endless new music without ever repeating a song? - Are the playlists you use for focus and relaxation actually curated by humans or by machines? - How does AI-generated music create the perfect "algorithm-friendly" content for platforms like Spotify? - What are the real financial incentives behind creating AI-powered music channels? - Is the rise of AI killing creativity for human lo-fi producers? - How can you tell the difference between a beat made by a human and one made by an AI? Follow my YouTube: https://www.youtube.com/@chenran818 Listen to my music on Apple Music, Spotify or other platforms: https://ffm.bio/chenran818 Interest in how much money I made from AI music? Checkout this report: http://ranchen.org/music-earnings.html
  continue reading

151 episodes

Artwork
iconShare
 
Manage episode 522247023 series 3670994
Content provided by Ran Chen. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Ran Chen or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.
Have you ever wondered who's behind the endless stream of "beats to study to" that dominate YouTube and Spotify? While you might picture a dedicated artist in a cozy studio, the truth is increasingly more complex and technological. The real artist might just be an algorithm. This episode pulls back the curtain on the lo-fi music scene, revealing how artificial intelligence has become the perfect, tireless producer for this genre. We explore why the simple, repetitive nature of lo-fi makes it incredibly easy for AI to replicate and generate, leading to an explosion of content that perfectly feeds the hungry algorithms of streaming platforms. This isn't just about technology, it's about a fundamental shift in how background music is created, consumed, and monetized. **What You'll Learn:** - Why has lo-fi music become AI's favorite genre to generate? - How do 24/7 "study beats" radio stations play endless new music without ever repeating a song? - Are the playlists you use for focus and relaxation actually curated by humans or by machines? - How does AI-generated music create the perfect "algorithm-friendly" content for platforms like Spotify? - What are the real financial incentives behind creating AI-powered music channels? - Is the rise of AI killing creativity for human lo-fi producers? - How can you tell the difference between a beat made by a human and one made by an AI? Follow my YouTube: https://www.youtube.com/@chenran818 Listen to my music on Apple Music, Spotify or other platforms: https://ffm.bio/chenran818 Interest in how much money I made from AI music? Checkout this report: http://ranchen.org/music-earnings.html
  continue reading

151 episodes

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