- Read The Odyssey… Hey! ;-)
- Clean your room.
- Sleep.
- Tweet about how you're procrastinating.
- Snapchat about procrastinating.
- Take another nap.
- Clean your room. Seriously.
- Post an *artsy* picture on Instagram of your clean room. Give it the caption: Procrastinating #finals.
- Go through your best friends old Facebook posts and pictures.
- *Like* said posts and pictures.
- Pin things on Pinterest just cause they're cool.
- Actually paint something you just pinned on Pinterest.
- Why has Netflix not been mentioned yet?
- You know you want to re-watch Gossip Girl for the third time.
- Mourn the loss of Greek on Netflix...
- ...With the help of your fave Gilmore Girls.
- Go get ice cream.
- Have a dance party by yourself.
- Have a dance party with your roomies.
- Take a bubble bath.
- Or a hot shower.
- Go to the Library.
- Yes, the one with books.
- Don't actually study.
- It's fun to meet people that are in the same boat as you there.
- Hey, they give out free stuff there!
- Binge-watch more Netflix.
- Die?
- Lay out by the pool...
- ...Wishing summer would just hurry up.
- Complain about how stressed you are with more tweets. #OverIt.
- Read the Bible…
- ...Look, you're gonna need all the help you can get since you're reading this and not studying. Praise the LAWD.
- Rumor has it that Nickelodeon is playing reruns of the old Mary Kate & Ashley show and movies this week.
- Check that out immediately, and get back to me.
- Haven't posted on Insta in a while… Hit up your fave coffee house for more *artsy* photo opportunities.
- BUZZFEED!
- All the BuzzFeed quizzes.
- Go for a walk. It's a beautiful day for procrastination!
- With that said, I guess you could always start your New Year's Resolution of going to the gym?
- Figure out what's the lowest grade you can get on the final and still pass.
- Maybe hit up the Lib without the books? Heh heh.
- You could always just have a good cry session.
- Yik Yak is probably popping with fellow procrastinators by now.
- Is Tinder still a thing?
- YouTube Ellen videos.
- Dream of being on Ellen because you know, you're hilarious.
- Catch up on your TFM or TSM reading.
- And if all else fails, you could always write an article for The Odyssey like me.
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
