- So many clothes, it's heaven!
- But what do I want?
- Okay, the responsible question is: what do I need?
- EVERYTHING.
- No, I can’t afford it, but I know I need a white crop top. Let’s do that first.
- Well, there’s five.
- *Take five minutes to decide on one.*
- Okay I’ll just go click a small….out of stock? Are you serious? There’s no other way to indicate that before I fall in love with this beautiful piece of clothing?
- Whatever, I’ll just add myself to the waitlist. I guess this kind of works out because if I still want this when they email me, I know it’ll be a good investment.
- Oh, of course! They have a small in every other color except for the color that I want.
- Well, I guess I have good taste because everyone else wants it.
- Do I settle for the poop-green color?
- Dude, no. Do not settle for the poop green.
- But can I trust the website? Sometimes the colors look different in person. What if it’s really olive green but the website makes it look poop green?
- Go for it?
- I can’t.
- Wait, let me zoom in. Maybe it’s secretly see through, or maybe the color will look different closer up.
- Okay it looks the exact same and didn’t influence my decision at all.
- Oh my god, just click "add to cart." I’m sure it’s olive.
- My subtotal is $37.87. I capped myself at $40--way to stay within the budget!
- Ugh, but it’s free shipping on orders $50 and over. The shipping cost would probably put me over $40, so screw the budget, right?
- Well, I could get a cute cardigan. You can never have too many cardigans.
- Oh this is cute.
- Do I get a small or a medium?
- I mean, the model is wearing a small and it looks a little loose on her. But she’s also a twig, so…
- Medium? Medium.
- OUT OF STOCK?
- Oh wait, that’s the large just kidding.
- I can get this, but do I really want it? What if it arrives and it just doesn’t work? Should I get the small instead?
- Why is this so stressful?
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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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