It all goes by really quickly.
We don't even notice at the time how little we really have in this completely new place that we're studying in.
One day, you're hugging your family good bye and you're excited but scared to leave to go abroad. You have only 3 bags that carries your whole life and you're not too sure what to expect. You know that four months away is a long time but you're sure you will find a way to fill your time.
Then it's suddenly been four months and your time is almost up for you to pack all your things and fly back home.
You're not sure where the time went. Each day was a new adventure, whether flying away for a little weekend trip or staying in your city and exploring the world and people and way of life all around you.
I'm not too sure how to feel now that I have less than two weeks left of my study abroad experience. I know I will miss so many people that have turned into such special and important friendships to me. I'll always cherish the memories I made and the moments that I never caught on camera will stay with me forever.
I'll miss the mystery and vastness of my city and the overcrowded university library seats and classes. I'll miss planning weekend trips and packing my suitcase at least once every two weeks.
I'll miss hanging out in my little dorm room and my flat, that became home so quickly. I'll miss the daily tea breaks with my friends. I'll miss my cafés, our pubs, I'll miss it all so much and just the thought of leaving my city makes me so incredibly sad.
I'm excited to come home and reunite with family and friends. There are so many people I miss so much and cannot wait to catch up with them and talk to them in person and get back to my life at home and at school. But, a piece of my heart will always stay in this city that I studied in.
No words can accurately describe just how bittersweet your studying abroad coming to a close can feel. One thing I am certain of, though, is that saying goodbye is never easy.
It wasn't easy when I left to study abroad and it won't be easy when I have to return home. But I think that's the point: to show that you are capable of making a home in places but being able to leave them when you need to.
I will be back to my city and Europe eventually. I just know it.
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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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