I was definitely iffy on how Taylor Swift’s new album, 1989, was going to turn out. Speak Now was my favorite album back in the day, and Red didn’t even come close to my expectations. I know that 1989 sounds completely different from her old stuff, but I absolutely love this
album.
So many people are hung up on the fact that her music has changed so
much from her previous albums, but it is a great album, nonetheless. I’ve been
jamming out to it since the second I got it. So without further ado, here are
my reviews for some of the songs.
“Welcome to New York.” I love any and all things related to
New York so it didn’t surprise me when I heard this song and
immediately liked it.
“Blank Space.” Pretty much all the other songs on
this album. I could listen to this song on repeat for weeks and not get tired
of it.
“Out of the Woods.” I’ve rarely come across an album where I like every single song on it. For the most part, every album has that one song that I don’t really like and, unfortunately, this is that song for me. It is really repetitive and I am
just not a huge fan of it. However, I know that there are tons of people that
do like it! I am not saying that I hate it, but I don’t love it.
“All You Had To Do Was Stay.” I don’t know why, but this
song reminds me of summer. I can picture myself with a group of friends driving
around late at night blasting this song and screaming it at the top of our
lungs. I might be the only person who thinks this, but I am not ashamed.
“Shake It Off.” When I first heard this song a couple of weeks
ago, I immediately wanted to hate it. But, slowly, I ended
up liking it because it is so catchy.
“Bad Blood.” This is my favorite song on the entire album. I
love it. I may or may not have driven around with my windows down and this
playing as loud as it could possibly go. I have lost track of how many times I’ve
listened to this song. I know I will get burned out, eventually, but that time
has yet to come. So, for now, I will continue listening to it on repeat.
“I Know Places.” This is may second favorite song on the
album. At the beginning of the song it sounds kind of like a song Miley Cyrus
would sing, which threw me off a little at first, but it is still an awesome
song and is a very very close second
to "Bad Blood."
“Clean.” I think this song sounds the most like her old
songs out of any from the new album. It is slower than the other songs, but still
has a pop sound to it.
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This article has not been reviewed by Odyssey HQ and solely reflects the ideas and opinions of the creator.
StableDiffusion
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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