Hello. My name is Michael Jones and I am a person that says, "I don't care what other people think." I've been this way for a long time. I say what I want, to who I want, when I want, and don't care about it. If people don't like it, I don't care because that's just how I am, and how I am is fine!
Actually, it's not.
This mindset of "I don't care what other people think," is one that is very prevalent in our culture today. If you google, "People that do not care what other people think," you get numerous lists, articles, blog posts, and what not about why you should not care what others think about you and your actions.
Now I will admit, when it come to certain personal traits and characteristics, no you should not care what others think. If someone thinks you're fat, ugly, ignorant, or any other insulting thing they can think, then let them think that. As long as you are happy with yourself and aren't harming others, then why care what another person thinks?
But sometimes a line is crossed. The mindset of, "I don't care what other people think," becomes "I don't care what other people think, therefore I'm going to say and do whatever I want and I don't care if I hurt someone." That's where not caring about what others think becomes dangerous. Just because the new waitress at the restaurant you frequent is a little slow her first week doesn't mean that you should tell her that. Just because your coworker has an ugly haircut doesn't mean that you should tell them that. Just because something may be true about that person doesn't mean you need to tell them.
What happens when someone acts this way is that they are intentionally hurting someone else. When a persons intentionally hurts people over and over again, others see it and it makes them not want to be around that person. What's also common is that the person doing the hurting often doesn't seem to grasp the fact that they are hurting someone. When others stop wanting to be around them, they find themselves with very few people in their lives, or maybe no people at all. They end up friendless, lonely, and bitter. They end up not just hurting others, but hurting themselves
So if you are a person that has no friends, very few friends, feels unhappy, bitter, or are always wondering why people leave your life? Maybe look at how you are treating them. You may also ask, "What can I do?" The answer is simple:
Kindness
Just be kind to others. Instead of not caring about what others think, you should care about how they feel. Kindness is a cheap form of brightening someone's life, because more than likely you do not know that person or their story. Do you really have the privilege of telling them what you think?
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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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