A great description of who you are,
Explaining yourself in words far better than your own.
Familiarizing memories with guitar string patterns,
Walking to syllables while holding hands with every melody.
And throughout the years you’ve experienced all this:
Through every late night, long drive, heartache, and bliss.
And there you were standing,
Every moment leading to now.
Seconds feel like hours and anticipation builds the highest.
The stage being prepared,
Patience wearing thin.
You hear yourself screaming before you realize that you are,
Your heartbeat increasing as the lights turn on.
Hearing everything louder than you have ever before.
Each sound enhanced,
Alive,
Set free,
Released.
The night progresses,
Every emotion you welcome.
Never having felt so much in so little time…
Or knowing that you could.
Suddenly stationary,
You've gone from engaging to observing.
Maybe, just maybe,
If you are stiller than still,
The moment will have no choice but to freeze.
You're the only silent being,
Everything loud and active around you.
Focusing on every instrument separately and then all together,
Memorizing your surroundings.
This is worth remembering.
Returning to the crowd and participating in the moment,
Giving someone a chance to take your place.
Eyes widened,
Every word declared.
His gaze meets yours in a moment,
Feeling like a prolonged stare.
He believes the words he sings.
Not performed for the first time,
But once written for the first time.
Although second nature,
Not a single part dulled.
Memories never fade when you live them every day.
When words meet heartbeats
Every song has a story,
But this time being told differently,
As if you've never heard it before.
You find yourself singing each individual word,
But you've never meant them like this before.
Even in a still moment,
Time passes swiftly.
Wrapped in the present,
Ignoring the ending.
A second of sadness creates an instant distance,
Then interrupted by the sound of your shouting.
The moment you’ve waited for all along,
The lyrics make way from your favorite song.
Belting words that mean more to you than you can explain,
Tasting much sweeter than any sugarcane.
Prized discovery,
Rediscovered,
A night of perfect noise and luminous colors.
It comes to an end and you're left with just this:
Every late night, long drive, heartache, and bliss.
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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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