Letting go of that person you thought you were going to spend the rest of your life with, or at least a few years, is one of the hardest things to do, especially for people our age. We hold on to these people - or I guess, the ideas of these people, that are perfect to us. They make us feel whole and happy, and because we have grown up on the idea that love is someone who completes you and who makes you happy, we don't want to let go when it doesn't work out. Why would we? In our minds we don't think something so great can happen again, and again. Also, we hold on because when it didn't work out between you, that opened the possibility that it could work out with someone else. That someone else can make them happier than you did. So that's why we hold on so tight because we don't want to lose that perfect person or for them to find someone who they think is perfect, who is not us.
Now, this is why it's OK to let go. It's OK to let go because there is a reason why it didn't work out. Obviously that person is not who you're supposed to end up with, which is OK because now you're closer to finding the person you're meant for. We look for people to complete us but forget to realize that we are complete ourselves. We don't need someone to become who we are meant to be, but instead we have people who help us become who we are meant to be, some people more serious than others.
Our society right now teaches us that we live in a "hook-up" culture. No one wants labels or feelings or whatever nonsense they are scared of because of a bad break up. Hooking up is easy and fun and no one gets hurt, or at least that's how it's advertised. Surprisingly, there are still some who don't want to just "hook-up" or "Netflix and chill." Some people are actually brave enough to put themselves out there and look for something that means more. I think when you find someone who wants to be with only you and wants more, you hold on for dear life because you don't expect to find someone in this society that wants what you want.
When it comes to letting go, we never realize how selfish we are for holding on. We hold on for us, not for them. We don't want ourselves to lose that person and especially don't want someone else making them happier, so we hold on. But maybe letting go is also selfish towards ourselves. We look at ourselves like we are less than our worth, as if we are not good enough for these people we love, so we hold on because there's no way someone like us can get any better - until we do. No one likes to put themselves in a position where they can lose, but I think that's what we have to do if we really want to find and get love. Therefore, letting go is unnerving and upsetting and the last thing someone like us wants to do, but we must. Just remember - every time we let go of one person, another person is waiting to hold us. Losing one person when you're 18-23 doesn't mean you lose anything -- it means you're closer to gaining everything.
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
