It's something I've wondered about for years. I like both cats and dogs, and happily have a cat at home, but I've come to find that whenever cats are mentioned in the general public, the overall reaction is, "Ugh, cats... dogs are so much better."
Why has it come to this? Cats aren't always the nicest creatures, but they possess qualities that many animals don't have or simply can't provide. Are dogs really that much more special than cats that they are looked at as "better?"
Cats can be loving, smart, cuddly, cunning, friendly, skittish, and crazy. Not all cats are the same, but if there's one thing they'll never be, it's boring. Whereas most dogs act relatively the same (uber friendly, loyal, and brave to a fault), cat personalities vary as much as human personalities do. They're also very low maintenance and don't require as much attention and daily activity as most dogs do.
Cats are popular only one day a year: Halloween. I can't even count the number of girls who dress up as black cats every year, complete with drawn-on whiskers and cat-ear headbands. Do you seen anyone dressed up as a dog? That's what I thought.
Now, this article isn't meant to bash on dogs and dog-lovers. I love dogs! Who doesn't? But it has become "cool" in our society to hate on cats and cat-owners, even stereotyping people who have lots of cats as weird and perpetually single. This isn't true, and on the flip side, could be equally applied to people who own tons of dogs. The point is, personality traits don't necessarily have to do with what type of animal a person owns. Who gave society these ideas?
The moral of the story is, if you like cats, own it! It isn't a crime to love cute things. People will probably respect your honesty, and who cares if they don't.
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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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