20 years later, look back at the time you spent growing up, vacation bible school, elementary, middle, and high school. Who were your closes friends? Who were you most excited to see everyday? Now think about this, how many of those friends do you still have contact with? How many would you still consider friends? Tough reality is we all grew apart. Yes we may still follow each other on snapchat or twitter, instagram or Facebook, but how many of us still know everything about them? Very few I'd be willing to bet. We change just like the seasons and everyday people go there separate ways but today I say thank you for all of those friends I've had in life, and a special thanks to the friends that are still by my side and the family that has doubled as friends. I'm beyond grateful for all the relationships I have built over the years whether they be lost now or kept. I'm a different person because of the people I've met. Over time I realized that some people really aren't your friends unless its convenient for them, and some people will stick by you through everything even when it makes life tougher on them. True friends never abandon you. Thank you for being my backbone when I needed it and thank you for being the extra push I needed to always finish the race. Life is hectic sometimes but I've learned through the past few years the people that come in and out of your life are merely lessons, they are bridges and stepping stones that leave lasting impressions on our loves whether they be good or bad. Don't sweat the friends that turned out to be snakes, and don't blame yourself for finally walking away. Be true to yourself and know that no matter who your friends were, are, or will be, you will always be your first friend, the person you can count on most, so stay true to yourself. Remember to say thank you to the friends that are around and the friends that have never left. That's truly a blessing. Although this may seem strange, remember to say thank you for the friends that turned out to not be "friends", no matter what they did or what happened between you they taught you something, they helped move you forward to the place you are today. You don't need anyone who doesn't need you however always wish for what's best for them, be the bigger person. Today my main focus is this, be the friend you'd want to see. You can't expect someone to be something that you haven't tried to be. So be grateful for your friends, past, present, and future, and be a friend they can be thankful for too.
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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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