Just this summer I picked up a part-time job with Uber. I loved the idea of being my own boss and creating my own hours. It is perfect for me as a college student, but it also has many unforeseen benefits. In the two months I have been driving, I have met countless people in college, fresh out of college, and even accomplished in business. The knowledge they bestow upon me is worth a pretty penny in the real world. Every weekend, I meet someone new who exposes me to a whole new train of thought. I would recommend this job to anyone like me, in college, and trying to make ends meet yet still maintain good marks in class. More than occasionally, I deal with drunks or someone in a bad mood. This doesn't bother me because you will eventually cross paths with an individual who has been where you are and they will offer you great advice, possibly even a job. It is all about networking and a part-time job should keep you in a position to branch out and network. Meeting new people opens new doors for possibilities to occur in your life. The part I love about it is spreading positivity and making people laugh, anybody I know will tell you that about me. All of us have something special to offer and if you are looking for a job to handle while in college, Uber might be something to consider. Meeting a network of professionals is important for us in college and preparing to join the work force. Building a rapport with people is crucial in society. If you are a good person and made that good first impression, these people that I am giving rides to will ask for my business card. Most of them follow my writing, now, because of how we met and the conversation we had. Establish your foundation, create your network and make your dreams come true. Visualize that future you want to achieve and speak it into existence. Remain optimistic about everything and look at everything as an experience to learn a valuable life lesson. I know, being in college, it is hard to balance work and academics, not to mention a social life. It is hard to outline your life down to a calculated routine and execute on it day after day but putting the effort in is half the battle. The "try" is what separates our voices from the silence. Spread the good word.
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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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