Continuing to play the sports you loved or trying something new.Intramurals can be fun, but may not be the best choice for the overly competitive type.
For
many students, intramurals is a fun way to keep active and play sports they
enjoy with their chapter's teams. There are a wide variety of sports to play and
multiple games a week. However, intramurals do have drawbacks for busy
and involved college students.
For those people who thrive on competition, intramurals can be a downer. Competition
is based on more than just wins and losses. It doesn’t really mean anything
if you win a hundred games without any rewards. We all say we do it for the
love of the sport, but in the end if there wasn’t a champion, would we love it
as much? Of course not. That’s why it’s competition, because two teams can’t
win a game.
Intramurals
are really meant for fun. In soccer tournaments you don’t even wear shin guards
or real cleats, where’s the fun in that? While in basketball you can
practically beat someone up without a foul call. What I’m getting at is there
isn’t a ton of structure in intramurals. For the casual chapter member who just
needs an intramural point and figures, “Oh, why not play a few games of flag
football,” and says, “Oh, where’s the end zone?” the lack structure is perfect. Which
is actually an advantage of intramurals.
Intramurals allow those who aren’t extremely athletic the opportunity to
play and have fun experiencing the game.
Another
great part of intramurals is it’s so
easy to be a part of and the games fit into almost everyone’s schedule. Even
though you probably won’t make every game of every sport, it’s not hard to fit
a one-hour game in, one day, even during a busy week.
Just like sports of all kinds, intramurals can
be a great way to release stress
and provide a distraction from all the other things going on
in our crazy, busy college lives! Intramurals can also be a negative
distraction. If you’re just focused on the next intramural game you can get
behind or put things off for too long. Softball season falls when it’s almost time
to start studying for finals and it’s so tempting to play two games a night
for two weeks.
Intramurals
are a great way to have fun with your chapter and keep active, but for our
extremely competitive members they can be frustrating. All in all, playing
intramurals can be one of your favorite times during your college years!
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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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