- When somebody cancels plans I’m happy about it. Yes, this sounds so utterly horrible but honestly before I hang out with anyone I go over a million possible conversations of how I can respond and what they’ll ask me that by the time we actually hang out I’m exhausted.
- I’m bad at making plans with people in advance. I have taught myself to not make plans at night because I underestimate how little I will want to actually leave the house during the day.
- People on social media think I’ll be super outgoing in person but I only am once I’m comfortable with you. There are like 4 people I can be completely myself around without feeling somewhat judged and that’s it. So tragic, I know.
- I. Hate. Partying. I went out with friends like twice last year and once it hit 11pm I just wanted to go home, shower, and watch Netflix.
- Whenever teachers say “partner up” in a class where I know no one I panic. In college this is a little better because it’s usually just with whoever you’re next to but in High School this would literally be the worst thing ever for me.
- I would rather stay home because people in large groups annoy me. Honestly driving to pick up coffee annoys me so bad because people can’t drive. When I’m home I can just sit on Tumblr and blog cat memes all day.
- I’m not bad at making friends I just can’t get close to people easily. This probably comes with not trusting anyone but I very much prefer to keep my circle very small with a few people I trust.
- It’s hard for me to focus because I’m focusing on about 80 things at one time. Really. It sucks. This is also why I prefer to be alone with a book or watching a show because it’s less to think about.
- When I have to go to a new place without a friend I get even more stressed than normal. I like feeling comfortable in things so even though I know I’ll make new friends I hate to be out of my element.
- Downtime is the best time. There’s so many people I know who are always looking for a “move” but for me that is eating tacos in bed.
- I never pick up the phone when people call. This also sounds bad but if a friend randomly calls I will call back once I am in a quieter place, I have gathered the energy to talk, and/or I am ready to have a conversation.
- Adults forget I’m as young as I am. When I used to work retail at 17 years old my co-workers in their 30’s would ask me to come out with them and forget I wasn’t even 18 yet. I think a lot before I speak, especially at work, and it makes me seem older than I am.
- I get stressed when I don’t have down time or I won’t have time for down time. I recharge in being alone so a day where I go from class, to work, to a birthday party leaves me more drained than most.
- Giving a speech to 100 people I don’t know is easier than giving a speech to 10 people I do know. I am very self-critical of my own work especially when people I’m close to can read or hear it.
- I hate being surrounded by people. When I go to study at the library or Starbucks I will sit in the corners. I enjoy solitude and I do not enjoy strangers.
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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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