Guess what I should be doing now? Writing a paper that is actually kind of important to my college career.
Exams and papers are kicking in, and I know I'm not the only one Googling ways to inhale caffeine faster than my Keurig can make it. Procrastination makes you stronger, right? At least that's what I tell myself when I look at my To-Do list. Here's a list of the ways you can make this sleepless week much more bearable.
1. Go to Kroger tonight and buy your Red Bull stock pile. It will be gone by Reading Day and then you will have to sell your kidney to your neighbor for one measly can.
2. While you're there, buy eye drops. The red, blood-shot eyes lack attractiveness, and you never know who you'll meet in a study room.
3.Make a friend with someone who has a dog. They will still love you even when you walk out of your bio-chem final in tears (I'm referring to the dog-not your friend).
4. Eat fried chicken on Tuesday. Church's Chicken has 50 cent drumsticks on Tuesdays and it will make you smile. Take this opportunity to smile. There might only be a few this week.
5. Don't study in your bed. Studies actually show that your body associates your bed with sleep (SURPRISE), so you are more likely to wake up with drool on your keyboard when working in your bed (maybe that's why my Shift key keeps sticking?).
6. Go to Mama's Boy and get a biscuit before your big final. You've already pulled an all-nighter, so that extra hour won't kill you. After eating that biscuit with jelly and poppyseed butter, you'll be smiling again (remember Chicken Tuesdays?).
7. Interval napping with your best friends will be your best friend. One person naps for 30 minutes and then gets woken up, and then it's the next person's turn to curl into a ball for a short time. It's fun. All your friends are miserable together, and you won't sleep the whole night like you promised yourself you wouldn't.
8. Don't forget to drink water. OMG I sound like my mother. All that caffeine and fried chicken will make you dehydrated, and your body will pull water from your brain, and then you have a headache that's bigger than your cumulative history exam.
9. Turn off your phone. LOL jk what about checking Instagram!? Put it on airplane mode and every hour take a five minute break and check Instagram for duck faces and improper hashtag use.
10. Have fun. Really, do it. It's the only time we don't have class, yet still have work to do. But it's also the only time when you can set your schedule without having to take a break to go to a boring lecture. Go to the botanical gardens and read your book at the pool. Maybe even go buy some fried chicken to bring to the pool with your book.
Three cheers for procrastination, late nights and college. Just think, we could be in the real world with a boss that's scarier than your English Lit professor.
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
