College is a wonderful time in your life. You begin to come out of our shell and shed your high school ways to take up adult responsibilities. There is something exciting about being able to take a step out of your comfort zone. For the first time in your life you're (almost) on your own to live by your own rules, but sometimes that life style can get a little stale.
During your time in college you should definitely make some stops home other than holiday breaks (Thanksgiving, Christmas, Spring break). I'm not saying to come home every two weeks but maybe two or three times a semester.
Coming home gives you a sense of relief. You don't have to worry about getting food, cleaning your dorm, or annoying neighbors. Your home is your safe zone from all of those small nuisances that we're back at school. This relief can do wonders for your health over all because for the first time in a while you can just relax with your family.
There's nothing better than sleeping in your bed after not being able to for so long. Dormitory beds aren't the most comfortable beds around, even with A mattress pad on top. Coming home to your bed and snuggling up in your blankets makes you feel young and a little carefree, but especially safe.
Another vital part of coming home is to see your pets. This goes especially for dog/cat owners. Have you ever noticed how crazy happy your dog or cat gets when you come home? They obviously miss you a lot and definitely notice when you're not there. I'm sure you equally miss them as well. If we all could, we all would bring our animals to school to live with us.
Nothing is better than a home cooked meal though. Going to dinner or lunch with friends is great, but it can't really beat dad's homemade meatloaf. You can't deny family dinners are way better no matter how big or small your family is. If you don't go home often your parents are more likely to make your favorite meal, which makes coming home even better. For once ramen noodles isn't your source of nutrition. Knowing that you're home means the cabinets are probably full of snack and junk as far as the eye can see. Score!
Laundry for once isn't a huge hassle, or a costly one at that. No sharing or mistaking someone's clothing for yours, or waiting for a machine to open up. Everything is there and it's completely free.
College makes you realize how wonderful home actually is. Its a place of safety and happiness. Making trips home is not only important for you but also important for the people that love and support you. Phone calls can only go so far. So make sure you take a trip home one of these weekends and see your dog.
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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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