- When you finally lean over far enough off your bed to plug your computer in, but accidentally tug too hard on the cord, and it falls out again.
- When you’re on your phone in your bed, and accidentally drop it on your face.
- When you hit your shin, toe, or elbow on any piece of furniture ever.
- When you open your laptop in class and it’s on 5%.
- When you finish a season of a Netflix original show, and have to wait an eternity for the next season to come out.
- When you accidentally spill anything on a complete stranger.
- When your credit/debit card declines at a restaurant, and you have to beg someone to pay for you.
- When you get to a test, and realize you studied the wrong chapter.
- When all your clothes are dirty, and you can literally smell yourself during class.
- When you send a risky text, and get hit back with an ‘lol’, ‘ok’, or ‘what?’.
- When you walk all the way to the library, but realize you forgot your headphones.
- When you check your bank account and have $30 less than you thought you did.
- When your gas tank is on empty, but you’re stuck on a freeway with traffic.
- When you sleep through all your alarms, and wake up five minutes before your test.
- When you finally get the courage to speak up in class, and your teacher shuts you down.
- When you think someone is waving at you, so you wave back, only to find out that they were waving to someone behind you.
- When you bring your friend out to dinner with your family, and they accidentally mention something sexually explicit you did.
- When you fail something that was an ‘easy A’, or everyone else did great on.
- When a professor calls you out for coming into a classroom late.
- When you hug your friend from behind, and find out it’s not your friend.
- When you look at your schedule, and realize you won’t be able to nap until next year.
- When you walk into a room and everyone immediately stops talking and turns around to looks at you.
- When you say something that you think is really funny, but no one laughs.
- When you trip walking up the stairs, and everyone you know and their dog sees it.
- When someone 33 miles away from you holds the door open for you, so you have to run.
- When you accidentally clog a public bathroom.
- When someone you have a crush on calls you a “great friend”.
- When a restaurant runs out of the one thing you had been craving all week.
- When you use a large vocabulary word in the wrong context, and get called out for it.
- When you drop your wallet, and all your card and change flys everywhere.
- When you’re broke as fu*k, and hold up an entire line of people just so you can find exact change at the bottom of your purse.
- When the wall charge is too loose, and your computer charger keeps falling out.
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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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