- Sleep.
- Go to the gym for an excessive amount of time.
- Eat and snack more than usual.
- Play ping pong.
- Read a book for pleasure.
- Watch Netflix.
- Play an instrument.
- Go have coffee with friends.
- Go out to eat with friends.
- Procrastinate all the homework you have to do until Sunday night.
- Go for a walk.
- Go for a bike ride.
- Drive somewhere without a naming a destination.
- Swim in some water no matter the place or temperature.
- Lay in your room alone and listen to music.
- Lay in your room with people and listen to music.
- Troll all social media sites.
- Pretend to be super interested in a really boring story that somebody tells you.
- Listen to your roommate complain about his or her homework.
- Listen to your roommate complain about his or her life.
- Smile and nod at them.
- Scream at the top of your lungs in a place that you probably shouldn’t.
- Dance without music.
- Dance with music.
- Make hot pockets with your roommate’s microwave then throw them away because you realize that they went bad two months ago.
- Rearrange your room for no reason other than to waste time.
- Play spikeball.
- Watch some intramurals.
- Eat ice cream.
- Attempt to pick up another hobby then cry because you can’t do anything.
- Wonder for a while why you cry so often then figure that it must just be a part of life.
- Find a different way to cook ramen.
- Take a shower because you can.
- Lose your keys and get locked out of your room.
- ??????????????????????????
- Do laundry.
- Wander around campus.
- Give yourself pen tattoos.
- Call mom.
- Make paper airplanes.
- Bother your friends that are trying to do homework.
- Blast music from your room so that everyone within a one-mile radius can clearly make out the lyrics of every song.
- Leave all decisions to the flip of a coin.
- Play with your roommate’s toys that he or she brought from home.
- Raid the community fridge that needs to be cleaned anyway.
- Go downtown (any town will do).
- Play with animals (i.e. dogs, cats, birds, squirrels, pigs, goats, manatees).
- Prank people in your dorm.
- Sleep some more.
- Sit down and make a list of things to do other than complete homework.
Welcome back
Sign in to comment to your favorite stories, participate in your community and interact with your friends
or
LOG IN WITH FACEBOOKNo account? Create one
Recommended for you
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
Trending Topics
Trending Stories
Best of Student Life![Jenna Pizzi and her mom smiling by a waterfront with a historic ship in the background.]()
![Cristina Yang and Meredith Grey in scrubs sit against a wall, smiling and enjoying a break.]()
![Towson University]()
![Woman in field with a red heart-shaped balloon under a colorful sky.]()
