College is where you get to learn and grow as a person. You get to live on your own and figure out who you exactly want to be. Living on your own, handling your classes, meeting new people, and remembering to eat at normal times can be difficult. I have learned not to try to put your computer down on your desk that is underneath your lofted bed in the dark because, yes, you will fall off and not only wake your roommate up but also dent the wall. I also thought it would be a great idea to put my strawberries in the freezer and them defrost them in the refrigerator when I wanted to eat them. This resulted in sticky strawberry juice all over the fridge and the strawberries were inedible. Another cooking mistake was made by my roommate who cuts her avocados with a knife and ended up cutting through her hand and some nerves in it. This same roommate is also guilty of dropping her phone in the toilet on accident. One friend, that is now one of my roommates, had a 30% off coupon at CVS so she decided to get over fifty items. She then thought it would be wise to use the self-check out during peak shopping hours and had five people behind her in line waiting on her to finish her purchase. This same friend also tried to cheat the dinning dollars system by putting soup in a coffee cup so that it would be cheaper. After she had purchased it for the coffee price she spilt it all over the ground and had to pay for another cup of soup for the price that the college set for soup. Another friend bought Mac-n-Cheese and thought that the instructions given on the box was for the microwave so ten minutes later the microwave starts smoking and there was melted plastic so she had to opt for something else to eat that evening. Lastly, I made the mistake of picking the nice person that I did not know who sat beside me in class to be my partner for a project. She ended up being very nice but not very bright and ended up making me do the work twice because she mess it all up the first time because she confused the project. Basically, you can take what you want from this but I would say that you can and will end up make a lot of mistakes in your life. It is good to look back and be able to laugh about them but more importantly to learn from them.
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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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