Since school started, we all have to get back to our routine. It's hard. Some of us didn't have a busy schedule during the summer and now it's so weird to go back to a routine. I worked during the summer and I had my regular routine. I thought it will be easy to just continue my routine but I was wrong. It's actually very difficult to manage my time between school, work, family, social life, and most importantly personal time.
I haven't able to have alone time in so long. I think it's so important to have that personal time to do whatever you want. For me, I just want to read all day or most of the time, I watch Netflix all day and eat on my bed. It's a luxury to me and I can't afford that anymore once school has started. So I tried to figure out a way to manage it.
Time management is key because it's an aspect of our lives and if you don't have it down by the time you're in college, you're screwed. College is a commitment. It takes up a lot of time even if it's just one assignment. I tried
my best to manage my time and here are a few tips that I picked up so far.
1. Always Know What's Coming Up During This Week.
If you have no clue what's going on, whether it's academics or work schedule, it will be very difficult to manage your time. If you know, it will be easy to plan ahead.
2. Planning Ahead
It's so important to schedule out the stuff you have to do during the week. Don't plan too far ahead. Just plan for every tomorrow if you can. Just have a main idea on what you need to do throughout the week.
3. Write It Down
All of us forget and it's okay. That's why there're some things called planner and notebooks. You can also put it in your phone to remind yourself. What I normally do is, I list all the stuff I need to do for this week and I make a checklist.
4. Avoid Procrastination
I am the queen of procrastination, especially in high school. However, college is a completely different game and I was dethroned. I actually put the time and effort into my work nowadays and I get better results out of it. It takes away so much stress and anxiety too.
5. Having Personal Time
It's so important to have that alone time where you can do whatever you want. After a long and exhausting day, I need some "me-time." I usually make "me-time" at night, like an hour or two before I sleep. I try to make my weekends my personal time too.
I work three days a week and I go to school four days a week. Between work and school, my weekdays are packed. I have to prioritize and put my social calendar on the weekends or at least, evening or nighttime if it's during the weekdays. Remember, it's okay to say no if you don't want to go. It's so important to rest and have that beauty sleep especially if you have work on Saturday morning. I'm not an expert but I hope these tips help.
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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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