We have all heard it, we all even said it at one time or another. Sometimes, it is said when we are working out and getting fit. Sometimes it is said when people give up certain foods for a diet or lifestyle change. But when it should not be said is when someone is going through a situation they cannot change or control, and is emotionally and mentally draining.
In that situation, I think the exact thing you should not tell them is, "What doesn't kill you makes you stronger." By telling them this, you are completely invalidating their feeling, and essentially you are brushing them off. Whether you mean to or not, this is what happens. This phrase is good for a workout regimen or getting yourself on a new diet. But it should not be used to comfort a friend who is upset, or depressed, or feeling like they are not going to be okay. When I was going through my own trauma, sickness, and heartache, it infuriated me when someone would tell me this because it felt like it was killing me. It felt like I wasn't going to make it.
I have met many cancer patients, their friends, and their parents. Even from the parents I have spoken to, they voice their disgust at this piece of advice. Sometimes when you are trying to comfort a friend and you don't know what to say, a cliche like this one may pop up, but think about it, would you want someone to tell you this is a heart wrenching and emotionally unstable situation? A friend of mine committed suicide nearly two years ago today and someone had the nerve to tell me it was going to make the family stronger. It does not work that way.
Life hands out a hard deal, sometimes. Sometimes, those hard deals last years and sometimes it feels like it won't stop. But it will. It may make you stronger later on. But it will definitely change the perspective. It will change your view of the world and of people. Sometimes for the better and sometimes for the worse. But don't give up.
If you are reading this, think twice before you give a friend or a stranger advice you wouldn't want to hear yourself. I like the saying, "God gives His toughest battles to His strongest soldiers." Sometimes, at a young age, children and teens are dealt situations many adults have never faced in their lives and they do not know how to make it better. But you cannot make it better. Even that can be too much, though. Just think about what you say and how you say it. Sometimes, a person wants a hug rather than some advice that they probably won't even hear or listen to. Just be there for them and love them. After all, is that not what will make us stronger is the end?
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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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