From Sept. 28 to Oct. 4, Zeta Tau Alpha hosted a
campus wide event called, Think Pink Week, when ZTA kicks off breast cancer
awareness month with an event every day to help raise awareness. We began the week by painting the town pink -- chalking the
sidewalks and tying pink ribbons around campus to inform students that it is
breast cancer awareness month and to spread the word about our fundraising events.
Every day we set up booths to pass out pink ribbons, self-check breast cancer
cards, sell t-shirts and tell the campus about our events.
In past years, Zeta Tau Alpha has raised upwards of $40,000
from this week. Helping our cause
is easy and delicious. We had a Chick-Fil-A night on Monday, Shakes on Tuesday and many of you may joined us at the
Zeta Tau Alpha house on Thursday for Pink Pancakes. It was $5 at
the door, or $10 for a wristband that gives you all you can eat pink pancakes on and entry into the Think Pink Carnival.
Saturday, Oct. 4, ZTA had the first ever Think Pink
Carnival. It was held at The Gardens from 10 a.m. to 3 p.m. There was lots of fun and participation from all Greek chapters on campus. The fun didn't end that afternoon -- at 7:30 p.m., everyone was encouraged to come out and support our Razorback hockey team for the Pink The
Rink game. There was a donation
table, players "pinked out", and watching our team never disappoints.
Zeta Tau Alpha is also organizing Pink Out games
for girl’s soccer, volleyball and swimming and diving teams. These events will be held on the following dates.
Sunday, Oct. 5: girls soccer at 11 a.m.
Sunday, Oct. 11: volleyball at 1 p.m.
Friday, Oct. 24: swimming and diving at 11 a.m.
Think Pink Week is very important to Zeta Tau Alpha. Breast
cancer effects so many people’s lives and we are hoping to make a positive
difference in any way we can. The special
events we host not only help to increase awareness about early
detection, but also raise money for education and research.
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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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