My favorite season is autumn. I love everything about it. The air is cold but not too cold, like in winter. The colors of the leaves are just gorgeous. The "crunch" of leaves under my shoes when I walk on the sidewalks. The fashion and style that goes with autumn weather, in my opinion, is the best of all four seasons. In NorCal, you get to see alot of what I'm talking about. Everyone wearing light jackets, coats, sweaters, whatever. The orange, red, and yellow leaves on the streets and your lawn, even though you probably don't want them on your lawn. Those cool breezes that blow through your hair and make it get all messy and stuff. You don't get as much as that down here in SoCal. Back up North, the weather will drop down to as low as 60 degrees during the fall. Down here, I'm still experiencing 70s and 80s, sometimes I'll be really unlucky step out to 90 degree heat. In mothereffing November! Like, why? I'm still wearing what I basically wore during summer. I mean, living in SoCal has it's perks, like warmer beaches for example, but it sucks that I can't enjoy my favorite season like before since I have to be down here for school. If you like warmer weather, then you'd love it here. There's plenty of warmth down here. You'll have plenty of sunshine and a small chances of rain. It's very bright and optimistic. And all of these are great things but I still prefer my NorCal autumn. I like the occasional overcast and rain. Combine those two with being inside, huddle with a nice hot drink, and it becomes the perfect amount of coziness. I miss opening the window and listening to the rain fall, or ride my skateboard over the colorful leaves. It's okay though. I'll be back and get to enjoy those autumns in two years. Just gotta keep on keeping on.
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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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