So recently I decided to try the "drink a gallon of water every day for a month" challenge and I decided to do a quick review on it. So when I started this challenge, I was drinking about 2 soft drinks every day...with that being said, for the first week it kicked my butt. The first thing that will happen is you will need to go to the bathroom more than you ever thought you would. I was driving back to school one day from home and it felt like a bunch of rocks sitting on top of my bladder. If you drink soft drinks constantly then you know that there is a ton of caffeine in the drink. After about 2 or 3 days I was beginning to get major headaches from the lack of caffeine that I was drinking. After about a week the headaches started going away and I started to notice that I was starting to feel more energized and I rarely felt tired. One of my favorite things about this challenge was the weight loss. I kept my regular diet, but only drank water every day and I actually lost 5 pounds from doing that. After doing it for about 2 weeks I started to notice that I was sleeping better and I wasn't as restless as I usually am when I sleep. My biggest issue with this challenge was that it was so hard to stop drinking soft drinks just like that. The moment I made the pledge to do this challenge I instantly stopped drinking sodas which was probably the cause of the headaches. My advice for this is if you decide to try it, make sure to just drink a little less every day until you know that you won’t get massive headaches. Overall I believe that this challenge is something that everyone should try. There are some downfalls, but all of the bad things are over with within a week and they are nothing compared to the benefits. College and high school students should totally try this if they want to fix their sleeping habits, lose weight, and have more energy. Since doing this challenge my grades have gone up, I have lost weight, and I have been more involved on campus.
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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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