Dear future Freshman
Here's a few things you need to know
If you want to survive
The next 4 years of your life
Welcome to Boise State
Where you take classes every day
And don't forget your lab
Every Monday morning
Cause if you do this right
You'll have the perfect life
Buyin meal swipes, buy, buy what you need
You got that 9 to 3, but baby so do we
So take advantage of anything that's free
You never learned to cook
But after just one look
Of the BRC
You, you will wanna leave
You gotta know how to do your laundry
Even when your outta money
Tell yourself everything's alright
Dear future freshman
Here's a few things you need to know
If you want to survive the next 4 years of your life
Dear future freshman
If you wanna get that spending cash
Call your mom and dad each and every week
After every F, pretend you did your best
And maybe then you can just retake your test
Even when your done
You know your never done
Get that degree, get, get that degree
You gotta drag yourself to the library
Even when you don't wanna study
Tell yourself everything's alright
Dear future freshman
Here's a few things you need to know
If you want to survive the next 4 years of your life
Dear future freshman
Make time for Netflix, yes your still watching
And know, you'll never get that essay done in time
You'll be sleepin anywhere that you can,
And at that next party you might meet a, friend
Don't get an MIC
Just avoid BPD
Buy a taxi, buy, buy a taxi
You gotta know how to act like a freshman
And get away with everything you can
Tell yourself everything's alright
Dear future freshman
Here's a few things you need to know
If you want to survive the next 4 years of your life
Dear future freshman
If you wanna make make the most of these years
Skip your class, and have fun when you go out at night
Oh wo-ah future freshman
Better do this right
Recommended for you
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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