Have you heard the saying ‘March comes in like a lion and goes out like a lamb’? well perhaps this saying can be applied to our lives’, how? You ask. Well some months I feel like they start off so hard, but at the end I can see the light, until the next month comes and new problems arise. As we get older it seems like the waves of misfortunate seem to be bigger and stay longer. But as it is with the weather, it goes out like a lamb. I can apply this same theory to my school year because it defiantly started out as a lion, it seemed like I was in that lion phase for what seemed like months on end, but I had to remember that the lion and the lamb were a match. I had to just be patient and wait for the lamb to enter my life. This school year started off with three deaths, throat surgery, and a tough class, that lion was roaring loud. But you see I survived that semester and even landed myself an internship for the spring semester, I was able to see the white as snow coat of the lamb. Unfortunately life will always be an endless cycle of coming in like a lion and going out like a lamb. But that does not mean that you give up during those periods of loud roars and sharp claw marks, no you should stay hopeful. Life will not be a lion forever, eventually the lamb will peak its head out and you will be greeted by the lamb’s soft white coat. All though I do like the theory of ‘March comes in like a lion and goes out like a lamb’, life sometimes is a mix of the lion and lamb constantly battling. One day everything goes wrong and the lion roars until your head is pounding and you are sitting on the ground in tears, but then the next day you can’t stop yourself from smiling. It’s almost like overnight your world had flip flopped, you had gone from being crushed by the weight of the world to being on cloud nine. Those are my favorite moments, when the despair and frustration that you were experiencing suddenly without explanation become happiness and peace. The most important piece of advice that I can give to you, is be patient when life is a lion, wait it out because I promise you the lamb will be back again to cheer you up and bring you good fortune. Here’s to your month ending like a lamb; full of success, happiness, love and good fortune.
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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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