- You will find yourself looking at happy couples and picturing what you will look like. You will spend an absurd amount of time planing your future with someone you haven't even met. You will daydream, and wonder what it feels like to be loved, to be absent of the overwhelming feeling of being alone
- When all of your friends are happily in relationships, you will begin to pick yourself apart. You will analyze everything - from the way you laugh to the way you dress. You will begin to think you are the problem
- YOU ARE NOT THE PROBLEM. There will be bad days but they will be followed by some good. On your good days - you know, the days you put on your best dress and pair it with the shoes you love so much - on those days you will feel like NO MAN can ever make you feel like you're important, because you already know
- If you're anything like me, relationships are a foreign concept, healthy, long lasting ones at least - and yet you always seem to be the person your friends go to for relationship advice? You try your best to think of what's good for them but in the end they ignore it, because they remember - how would you know?
- The world has a problem with strong independent women. They will tell you that if you're single and happy, it's sad. They will tell you that third wheeling is pathetic. They will do anything to make you feel like you're less than everyone else who has someone to love
- You have someone to love. YOURSELF. How can you expect anyone to love you if you can't lead by example. Don't invite someone into your home when your haven't cleaned up the broken glass from the tornado that was your last relationship. It's hard to love someone who's home is a mess
- It's okay to be a mess. It's okay to spend time working on your house, rebuilding it from the ground up, renovating and decorating, take as much time as you need. Nobody expects you to be perfect- and if they do, let them know they're at the wrong house
- Before you can be happy with someone else, you must be happy with yourself. It's hard to love someone who doesn't see how lovable they are. How can you expect someone to come in and fix the damage you have chosen to ignore. Besides, if they did help you renovate, you wouldn't be satisfied with the result
- Settling is never the answer. One night stands are never the answer. Dumb boys who will tell you what you want to hear and leave you a bigger mess than you were before, ARE NEVER THE ANSWER. Set your standards high, keep them there and never let anyone step on you to reach them.
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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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