Take me away in a straight jacket.
Tell me about the brain cells I'm lacking.
I tried to tell the docs,
tried to convince 'em of my fears.
These walls are yelling in my ear,
can you hear them?
They would tell you
voices chew my insides
but no one believes me.
I see devil eyes when I sleep.
Dark beings roaming the streets,
the sheets have a serpent's tongue,
and the demon in my closet wants a "hug"
These walls laugh at my pain, can't you hear?
They gossip about the dreams,
snickering about screams during daylight.
Red eyes in the nighttime,
the repeated prayers,
the scent of insanity in the air.
Nobody cares,
cause nobody can hear...
Take me away in a straight jacket
and tell me it's my imagination.
I'm schizophrenic, give me medication,
dulling my senses.
I can still feel the presence.
"I have a crooked smile, why are you crying?"
"The smell of death is a beautiful thing."
That's what the voices tell me every day.
Visions etched into my brain,
are carved into the walls that sing.
They fear my sanity has decayed,
but they still can't hear the walls.
Wishing for more pain,
waiting on disaster,
its whispers turn into anger.
It hates to be ignored,
it cries for blood.
I know it's not just a phase
So I look the doc in the face
And tell him the walls would like a taste...
Take me away in a straight jacket.
Crooked smiles
turned into uncontrollable laughter,
I can't remember who the demons are after.
Misery is a pleasure to me.
Hell is a reality.
My dreams are committing casualties
and these walls no longer talk to me.
Paint chipping cold feeling,
I think these walls are scared of me.
They heard the screams,
heard the pleas.
Doc, you should have listened to me.
These walls needed to be pleased.
Hands covered in red,
I laughed as he bled.
Doc should have listened to what I said.
Crooked smile across the face,
these walls told me before
It's scary what a smile could hide...
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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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