It's almost fall, y'all! College football, oversized sweaters and pumpkin spiced everything is here, and I could not be more excited. Below is just some of my favorite things about the season!
1. It's sweater weather!
The weather is nice and cool, the leaves begin to turn orange and start to fall. Oversized sweaters and booties are being brought out, but most importantly, all the mosquitos and annoying bugs start to die.
2. Carving pumpkins
Whether it's making a silly looking jack-o-lantern or carving out the seeds, pumpkin carving is one of my favorite things to do during the season.
3. Reading
I love love love staying in on a chilly day and just curling up with a good book. There is seriously nothing better!
4. Fuzzy socks!!
Okay, but this one is kind of obvious. Fuzzy socks are the best invention and I worship the person who made them. I will seriously wear these around all the time!
5. Football games are the best
Tailgating, the band playing, players playing their hearts out and the crowd hyped up is, in one word: exhilarating. College football or high school football games are so much fun. Friday nights and Saturday's are dedicated to them!
6. Have I mentioned the movies?
Hocus Pocus, Halloweentown, Twitches and so much more paired with a nice cup of hot chocolate or pumpkin spiced drink is simply euphoric.
7. And who could forget the holidays?
Halloween and Thanksgiving are quite possibly my favorite, second and third to Christmas. All the ingenious costumes, tasty treats and cozily embraced by the chilly weather.
Without a doubt, fall is the greatest season. And even though it's not technically the autumn season yet, I've already started partaking in its activities. September 22ndbetter hurry up!
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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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