What happened to the beautiful smile she used to carry, what happened to the beautiful smile she used to carry with no purpose. What happened to the beautiful smile that happened to make people's days. What happened to the smile that would light up rooms. The smile that would make people feel wanted. The beautiful happy that showed true happiness. The smile that spoke a thousand words. The smile that simply said it all. What happened to those bright eyes. Those eyes that would brighten up when passions were involved. Those eyes that shined in the light. Those eyes that sparkled so bright that cheered people up. What happened to those wonderful eyes I am ask? Where did it all go? It all started to disappear, it all started to vanish. It all started to fall out of place, things that seemed so clear starting to vanish, starting to become so blurry. Things that seemed so easy started to become so hard, started to feel like maybe they would be impossible to accomplish. Things that seemed so great, started to diminish and lose their light. That bright light was no longer found, that light was no longer shining bright. It was diminishing little by little, and so were the beautiful things that came along with it. Before it was too late, things started to darkness, started to weakness, started to diminish in thin air. All that's left was pure darkness. Darkness with a strong desire of wanting to receive the sight of a bright light. Darkness that wanted to click start and forget of it all. A simple restart would be switch and completely transform the feelings of weakness, of sadness, of loneliness. How may a people feel so lonely when they are surrounded in a room full of people? How may a person feel so sad, when they are surround with things that can come to make them truly happy. How can a person be afraid to speak her own voice? How can a person be afraid how they may feel, and have to disguise it in fear? How can a person be able to hold so much? How can a person be able to carry so much, without making it stop, without letting it go? How can a person handle the worst, while thinking they may be receiving the best. Why may a person have to prove herself, why does she have to prove to be someone everyone else seems to see. Why did she let it happen? Why did she let it carry on? Where would it all end. She was a beautiful person that believed she needed to carry someone before she was able to carry herself. Little did she know she was slowly drowning herself. She was slowly losing herself. She was slowly becoming a person that people happen to question. People happened to question for the simple fact; that all that shines bright seemed too diminished. All the stood tall seem to come down, and all that was admired seemed to no longer be desired.
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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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