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Konten disediakan oleh Ran Chen. Semua konten podcast termasuk episode, grafik, dan deskripsi podcast diunggah dan disediakan langsung oleh Ran Chen atau mitra platform podcast mereka. Jika Anda yakin seseorang menggunakan karya berhak cipta Anda tanpa izin, Anda dapat mengikuti proses yang diuraikan di sini https://id.player.fm/legal.
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Hacking Flow State: How AI Creates the Perfect Coding Music

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Manage episode 524464541 series 3670994
Konten disediakan oleh Ran Chen. Semua konten podcast termasuk episode, grafik, dan deskripsi podcast diunggah dan disediakan langsung oleh Ran Chen atau mitra platform podcast mereka. Jika Anda yakin seseorang menggunakan karya berhak cipta Anda tanpa izin, Anda dapat mengikuti proses yang diuraikan di sini https://id.player.fm/legal.
Finding the perfect soundtrack for deep work is a constant struggle. The wrong song can shatter your focus and kill your productivity. This episode explores the ultimate solution for coders, writers, and anyone needing to lock in and enter a "flow state." We dive into how AI is crafting the future of focus music. We uncover how AI-generated minimal techno, with its repetitive beats and AI-built rhythmic pulses, creates the ideal audio environment for extended periods of concentration. Forget distracting lyrics and jarring beat drops; this is about sound that is scientifically engineered to enhance your workflow, helping you think clearer and work longer without interruption. What You'll Learn: - Why is your favorite music playlist secretly killing your productivity? - What makes minimal techno the perfect genre for coding and deep work? - How can a simple, repetitive beat help you enter a "flow state"? - How do AI algorithms generate endless, non-distracting soundscapes? - Can AI create a personalized soundtrack for your unique brain activity? - What are the specific psychoacoustic tricks AI uses to keep you focused? - Is AI-generated music the end of searching for the perfect work playlist? Follow my YouTube: https://www.youtube.com/@chenran818 Listen to my music on Apple Music, Spotify or other platforms: https://ffm.bio/chenran818 Interested in how much money I made from AI music? Check out this report: http://ranchen.org/music-earnings.html
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162 episode

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iconBagikan
 
Manage episode 524464541 series 3670994
Konten disediakan oleh Ran Chen. Semua konten podcast termasuk episode, grafik, dan deskripsi podcast diunggah dan disediakan langsung oleh Ran Chen atau mitra platform podcast mereka. Jika Anda yakin seseorang menggunakan karya berhak cipta Anda tanpa izin, Anda dapat mengikuti proses yang diuraikan di sini https://id.player.fm/legal.
Finding the perfect soundtrack for deep work is a constant struggle. The wrong song can shatter your focus and kill your productivity. This episode explores the ultimate solution for coders, writers, and anyone needing to lock in and enter a "flow state." We dive into how AI is crafting the future of focus music. We uncover how AI-generated minimal techno, with its repetitive beats and AI-built rhythmic pulses, creates the ideal audio environment for extended periods of concentration. Forget distracting lyrics and jarring beat drops; this is about sound that is scientifically engineered to enhance your workflow, helping you think clearer and work longer without interruption. What You'll Learn: - Why is your favorite music playlist secretly killing your productivity? - What makes minimal techno the perfect genre for coding and deep work? - How can a simple, repetitive beat help you enter a "flow state"? - How do AI algorithms generate endless, non-distracting soundscapes? - Can AI create a personalized soundtrack for your unique brain activity? - What are the specific psychoacoustic tricks AI uses to keep you focused? - Is AI-generated music the end of searching for the perfect work playlist? Follow my YouTube: https://www.youtube.com/@chenran818 Listen to my music on Apple Music, Spotify or other platforms: https://ffm.bio/chenran818 Interested in how much money I made from AI music? Check out this report: http://ranchen.org/music-earnings.html
  continue reading

162 episode

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