(Girl)Friends: a person who gives assistance; supporter.
I am not going to lie. Besides looking forward to snuggling with my furry four legged friend, again, seeing my long lost friends
once and embracing them back into my life was what I was most
excited for. This long joyous break was an eye opener when it came
to my friends. I was able to settle my
nerves about the fear of whether we had all moved on to our new and exciting
college friends. I realized we had become even closer than before we
left. We all were graced with
our own unique qualities from college such as different sororities, new
boyfriends, and even culture shocks for some. That did not stop the ever-famous GNOs, but more like the GNIs that we
had in store.
I have come to realize that even throughout your friends’
own journeys through college, you all share a special bond. Not to sound cliché, but, you are sisters
who always have each others' bacsk, even if you are Big Ten rivals. Even throughout the ups and downs from our college
experience, hometown friends give you clarity on
who you are, and who you want to be with the assistance of their love and
laughter.
This break meant a lot to me
in many different aspects. For instance, I was able to share my fears, dreams, and realizations from college as my friends shared their own dreams and fears. I realized that girlfriends share a different
dynamic then boys may do. We, girls, are
able to be that literal shoulder to cry on and provide support through the worst of
times. They are also your biggest fan
club, with the support and confidence that they have in you to
achieve goals, which could even be something as simple as bowling
without bumpers.
I also realized, that friends are the ones I can be my
utmost outrageous self with -- like dancing on my countertops until 2 a.m., or being the only people under 40 at Bakers Square because of
a pie craving. I use to just see friends as a fun Friday night or a silly Snapchat conversation, but friends
have become so much more of an outlet of support, love, and inspiration. Let's just say that this break, I realized a bunch of things
about what my girlfriends mean to me. See you all at the Bachelor, finally!
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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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