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AI Music Podcast

AI Music Podcast

By: Ran Chen
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AI Music Podcast Get your daily five-minute shot of the future of sound. Each weekday, host breaks down the hottest breakthroughs in generative audio, music-making AI tools, machine-learning composition techniques, and the knotty legal questions that come with them. Whether you’re a producer hunting for the next creative superpower or a curious listener wondering how algorithms remix your favorite songs, we’ll keep you in the loop—fast. Expect bite-sized news round-ups, mini-deep-dives on research papers, quick creator tips, and occasional guest pop-ins from the engineers, artists, and entrepreneurs shaping tomorrow’s music industry. No fluff—just actionable insights, delivered in the time it takes to finish your coffee. 🎧 New episodes every weekday morning. Subscribe, review, and share to support indie AI audio! — Love what you hear? Follow me on YouTube: https://www.youtube.com/@chenran818 and stream my tracks: https://ffm.bio/chenran818Copyright 2025 Ran Chen
Episodes
  • AI vs. Human Songwriters: Is the Music Industry Ready for a Revolution?
    Aug 15 2025
    The rise of sophisticated AI has sparked a crucial debate in the music industry: Is the era of the human musician coming to an end? This episode of AI Music Podcast dives deep into the capabilities of current AI, exploring its role as both a powerful tool and a potential threat to songwriters, composers, and session players. We move beyond the hype and fear to analyze what AI can and, more importantly, what it can't do. We look at how AI is currently being used to streamline workflows and spark creativity, but we also confront the limitations that keep it from capturing the true essence of musical artistry. It's a battle of technical efficiency versus genuine human emotion. Here's a real-world scenario we discuss: Imagine a songwriter struggling with writer's block, needing a fresh chord progression for a new ballad. Instead of hours of frustration, they use an AI to generate ten unique options in seconds. The AI provides the spark, but the human provides the soul, weaving the progression into a personal story of love and loss. This is the future of music creation. Key questions from this episode: 1. Can an algorithm trained on past hits write the next truly original, genre-defining song? 2. When an AI co-writes a song, who owns the copyright? 3. Will "prompt engineering" for music AI become a more valuable skill than playing an instrument? 4. How can human session musicians prove their value against flawless, AI-generated backing tracks? 5. Is the emotional story behind a song more important than its technical perfection? 6. Could AI’s inability to understand context and nuance actually lead to a completely new, alien form of music? 7. What is the dividing line between an AI as a helpful tool and an AI as the primary creator? 8. Will listeners care if their favorite new song was made by a person or a machine? Follow my YouTube: https://www.youtube.com/@chenran818 or listen to my music on Apple music, Spotify or other platforms: https://ffm.bio/chenran818
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    3 mins
  • AI Music on Spotify: Genius Move or Legal Nightmare?
    Aug 14 2025
    The explosion of powerful AI music generators has left many artists and producers with a burning question: can I actually upload my AI-assisted creations to Spotify and Apple Music without getting into trouble? This episode of the AI Music Podcast dives deep into the complex and rapidly evolving answer. We cut through the hype to give you the facts, exploring the official policies of major streaming platforms, the critical legal precedents being set, and the fundamental difference between using AI as a creative tool and crossing the line into illegal territory. We break down the real reasons tracks are being removed and what you need to know to protect yourself and your music. Imagine spending days on an incredible track that uses an AI-cloned vocal of a famous artist. It starts getting traction, and then suddenly it vanishes from Spotify, and you get a takedown notice from your distributor. We explore why this happens by looking at the "Heart on My Sleeve" case and explain how you can navigate these rules to use AI's power without risking a ban. Key Takeaways: - What is Spotify's real policy on AI-generated music in 2024? - Why did the viral "AI Drake" song get taken down so quickly if it wasn't a copyright violation? - Can you legally copyright a song that was made entirely by an AI? - What is the new "ELVIS Act" in Tennessee and how does it change the game for AI music? - What is "artificial streaming" and why did it cause Spotify to remove tens of thousands of AI tracks? - What's the key difference between using AI as a tool and creating a "deepfake" song? - If an AI-generated song becomes a hit, who actually gets the royalties? - How can I use AI in my music production workflow safely? Follow my YouTube: https://www.youtube.com/@chenran818 or listen to my music on Apple music, Spotify or other platforms: https://ffm.bio/chenran818
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    3 mins
  • AI Music's Secret Sauce: How Suno and MusicLM Compose Songs From Scratch
    Aug 13 2025
    Have you ever wondered how AI tools like Suno or Udio can conjure a complete song from just a few words? This episode demystifies the process. We go beyond the surface-level hype to explore the core technology that powers the AI music revolution, explaining the complex inner workings of the models that are changing music creation forever. We break down the foundational concepts of music tokenization, transformer models, and diffusion techniques into easy-to-understand explanations. You will learn precisely how an AI model translates a simple text prompt into a fully orchestrated track, how it generates realistic vocals, and why the data it's trained on is the most important part of the entire process. Here's what you'll learn in this episode: * What is "music tokenization" and why is it the absolute key to AI music generation? * How is the technology behind ChatGPT being used to compose melodies and harmonies? * What's the difference between an "autoregressive" and a "diffusion" model for creating music? * Where do AI models like Suno and AIVA get their massive musical knowledge from? * Can AI truly understand musical emotion, or is it just a master of mimicry? * How do these platforms generate vocals that sound so convincingly human? * Why do some AI-generated songs sound incredible while others sound generic and soulless? * How can you write better text prompts to get higher quality musical output? * Is the AI generating music from scratch or just "stitching" together existing pieces? Follow my YouTube: https://www.youtube.com/@chenran818 or listen to my music on Apple music, Spotify or other platforms: https://ffm.bio/chenran818
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    3 mins
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