As today is National Coming Out day, I came out to my friends and family as bisexual. I like men and women but I lean towards men more. When I came out today, I felt as if a weight has been lifted off of my chest. I have been hiding in the closet for a little over a year now because I didn't know what to classify myself. I knew I wasn't just into men or just into women. I was exploring my sexuality for quite sometime. Many times, I felt as if I was misunderstood. I felt confused, I felt stuck, I didn't know if my family was going to accept me. I kept telling everyone I was straight, why? I told everyone that I was straight because I was embarrassed to mention that I liked more than one sex. I was afraid that I would be viewed differently if I wasn't straight. I stand as part of the LGBTQ community with pride. I have supported it for many years but many times I was judged. For instance, I have been told hurtful things. People have bluntly told me that people who are bisexual are unfaithful. People who are bisexual tend to cheat more on their loved ones. There is no such thing as bisexual. All of those things hurt me, it felt like a bullet pierced through my heart. Being bisexual is a real thing, it is a beautiful thing. It is not just either your straight or your gay, there are many different terms. Just because a person is bisexual does not mean that they will not be loyal. That does not mean that it will be harder to be in a relationship. All of those hurtful, painful myths are completely false. I am loyal, trustworthy and honest. I never have and never will cheat on someone. Today, I have decided to come out of the closet. A day where people will be more accepting of others. A day where I can finally feel free to express myself and be happy with the way I am. Today, I stand as a strong individual in the LGTBQ community. I am bisexual and I am proud of it! The LGTBQ community is a beautiful community and I am so happy to be apart of it! This afternoon, for the first time, I have opened up about my sexuality. I always had the biggest fear that my family wouldn't accept me the way I am. This afternoon, I opened up to my mother that I am bisexual. She told me that she will always love me, her view of me will never change, and she is so proud of me for opening up to her. I have not opened up to my father yet but I know he will love me no matter what! I am going to open up to the rest of my family and friends, I am hoping that they will except me for who I am! I am a strong woman. I am bisexual and I am so proud of myself for coming out today♥!
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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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