- You’ll see her for the first time and she’ll walk right by you as if you’re a crack in the sidewalk with her head so high. When you can’t sleep at night, you’ll think about the way her eyes strayed into yours that one night last summer before her attention was demanded somewhere else. You'll wish it was you who she thought of at night, but you're too scared to say so.
- She’ll look both ways before telling you she loves you under her breath. When she hugs you her eyes will search the crowded city as if the strangers around her had glaring eyes and rambling mouths that could give away her secrets. Secrets she so desperately wants to set free. You'll look so far beyond her broken eyes and worried smile that you won't even realize what's coming next.
- When she’s curled up in your arms, shaking with mismatched breaths, you’ll wonder how someone who seemed like they carried mountains could crumble so easily. It was almost as if the tornado in her mind finally hit her and knocked her off her feet. To you she'll come off as put together and you'll end up realizing that no matter how many times you've seen her smile, it doesn't amount to the times you've fallen in love with her imperfections.
- In the half-lighted room, she’ll run her fingers over your arms like she’s reading the words carved into your skin, almost as if she’s binding them together into the perfect metaphor and you’ll hear it over and over at four in the morning when you can’t sleep due to thoughts of her. No matter how soft her touch may feel, you know deep down she's dangerous.
- You’ll find safe havens on rooftops and subway cars where she’ll set fire to your insides with hushed breaths between kisses painted perfectly on your lips. You'll wonder how a kiss from her could taste like the heavens when all you're used to is purgatory. She’ll make you forget how dangerous it is to play with matches while your body is made of paper.
- One night, you’ll stare God straight in the eyes and tell him that if loving her was a sin then you’d want no place in heaven with Him because loving her is like forgetting how to breathe. Loving her was like an hour-glass, your brain emptied while your heart filled up. Loving her was like taking your last breath before going under water. Loving her was like riding a roller coaster for the first time; you don’t know what to expect next. Loving her was a lot of things, but the one thing you love the most is the way her lips fit perfectly on your neck because that’s a slice of paradise you’ll never forget.
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This article has not been reviewed by Odyssey HQ and solely reflects the ideas and opinions of the creator.
StableDiffusion
The Illusion of Creativity
AI-generated music is often marketed as “artistic” or “educational.” But what does it really teach?
- That style can be replicated without understanding.
- That emotion can be simulated without feeling.
- That effort can be bypassed with a prompt.
For young creators, this sets a dangerous precedent. Why learn to play guitar when an algorithm can do it faster? Why study harmony when AI can generate chord progressions in seconds? The risk isn’t just laziness — it’s the loss of depth, discipline, and the tactile joy of creation.
I have listened to several AI-generated music covers. My initial reaction was one of considerable impressiveness, particularly regarding the reimagining of classic pop hits in diverse genres with novel arrangements. Here is one good example a-ha — Take On Me
However, after engaging with several such Ai generated song covers, a sense of emotional detachment emerged, attributable to the perceived absence of human artistry and genuine sentiment, resulting in a technically flawless yet ultimately soulless auditory experience.
Copyright in Crisis
What does the copyright law say about AI generated music, especially in field of music covers. Who is liable for copyright in this case, AI developers, people who used AI to generate music or people who published it on music platforms?
Recent lawsuits show that the music industry is pushing back hard:
- Universal, Sony, and Warner sued AI music platforms Suno and Udio in 2024 for allegedly training their models on copyrighted songs without permission Ars Technica The Lyon Firm.
- They’re seeking up to $150,000 per infringed song, arguing that the AI outputs resemble famous tracks and voices (e.g., Mariah Carey, Michael Jackson).
- These lawsuits target the developers of the AI tools — but they raise broader questions:The legal gray area is training data. Courts haven’t yet ruled definitively on whether using copyrighted songs to train AI counts as infringement or fair use Sites at USC.
But who’s liable?
Role | Legal Risk | Why |
AI Developers | ✅ High | For training on copyrighted material without licenses. |
Users | ⚠️ Moderate | If they intentionally recreate protected works. |
Publishers/Platforms | ✅ High | For distributing infringing content. |
The grey area lies in training data. Courts haven’t yet ruled definitively on whether using copyrighted songs to train AI counts as infringement or fair use. Meanwhile, AI-generated works themselves aren’t eligible for copyright unless a human provides substantial creative input — leaving them in legal limbo.
The Educational Mirage
Some argue that AI music helps people learn genres, production styles, or vocal techniques. But this “education” often lacks context. It’s like learning to paint by watching a printer — technically impressive, but creatively hollow.
True musical education involves:
- Struggle and iteration: Learning through mistakes.
- Emotional connection: Expressing what words can’t.
- Cultural lineage: Understanding the roots of sound.
AI shortcuts bypass all of this. And in doing so, they risk flattening the rich terrain of human creativity into a sterile landscape of algorithmic mimicry.
Why This Fight Matters
This isn’t just about music. It’s about the future of art, storytelling, and human expression. If we allow machines to dominate creative spaces, we risk turning culture into content — optimized, monetized, and devoid of soul.
We must ask: Do we want a world where art is made by machines, or one where machines help humans make better art?
5 Key Takeaways
- AI-generated music blurs the line between innovation and erosion in the creative arts
- AI-generated music raises questions about copyright, culture, education, and artistic expression
- AI-generated music can replicate style without understanding, simulate emotion without feeling, and bypass effort with a prompt
- AI-generated music sets a dangerous precedent for young creators by potentially leading to a loss of depth, discipline, and joy of creation
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