I often see articles about how perfect someone's friendship is with their best friend and for a long time I would read them and think "I wish I had that." and get so jealous. You know the ones; Those friendships where they just walk into each other's houses without knocking. Those friendships where they spend every free moment together. Those friendships where they have movie nights all the time where they just pig out on junk food. I thought that was what I wanted, but I was wrong. It took me a long time to realize it, but now I know. Granted, pigging out on junk food while watching really bad "horror" movies still sounds really appealing, I don't need that cookie cutter friendship. I need our friendship, and it isn't perfect. We've fought, we've "broken up", we've gone months without talking to each other, we've moved away from each other, and to be honest, we don't really know what's going on in each other's lives right now. But that's okay. Being a friend is more than that. Through my hardest times you have been there for me, no matter how many miles separate us (478.1 to be exact). You have never left me, despite all my mistakes and my shortcomings. You understand me and all my complexities. We can go months without seeing each other and pick up right where we left off. You support me through everything I do. So maybe our friendship isn't "perfect" but it's ours and I wouldn't want anything else (except to meet your cute puppy, but the time will come). So this my thank you. Thank you for not giving up on our friendship, even when I may have seemed to. Thank you for being the same goofy, loving person I met 7 years ago in band class. Thank you for being okay with my random sappy texts/posts (*cough, cough* like this one...). Finally, thank you for being you because I wouldn't want anyone else to call my best friend. I love you and I am so proud of you. I can't wait to see the life you have built for yourself and I hope you let me continue to be a part of it. Thank you from the bottom of my heart.
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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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