- You can go to sleep whenever you want.
- I had a little situation at the beginning of the year where my roommate would go to bed significantly later than I did, but refused to compromise. She would wake up early and turn on the lights even when it was clear that I was still asleep. I was getting only four hours of sleep when I usually get around 10 hours. I realized early on that I did, and currently do, go to to bed very early (9:30), so I tried to compromise by going to bed a little late. Unfortunately, my efforts got me nothing, still no compromise was made. I did end up moving out due to the lack of sleep. I was given a dingle (double single) that was vacant. When my current roommate moved in, we had a long talk about bedtimes and how we would deal with the difference. My current roommate turns on her fairy lights (which are dim enough so I can still fall asleep) and tucks me in and then goes to do work in the lounge. On nights when I have to stay up later than she does, I tuck her in before I leave if she’s in bed and if I not I say goodnight and tell her I hope she’s asleep before 2 am (what up, radio). Communication is key when people go to sleep at different times especially if your sleep schedules aren't the same every night. This allows you to get to bed whenever you want and get the proper amount of sleep.
- You can study in your room without any distractions.
- It is wonderful to be able to come back to an empty room and plop down at your desk, but for most college students, sharing a small room with another person means you can't always do that. If you want to study in your room without any distractions, talk to your roommate. Talk about social hours and study hours. Everyone wants to be ability to work quietly without having to find another place to go study, so by speaking with your roommate, you can ensure that you will be able to study in your own room.
- You can have friends in the room.
- Having friends in your room to binge watch a favorite show is great but if it's late at night or while your roommate is studying for a hard test, maybe leave. My old roommate once brought friends into the room close to midnight. I came back after her, so I had no say in the matter. When her friends realized I was getting ready for bed, they offered to leave even after several protests from me, they left. My ex-roommate claimed I kicked them out. It is very easy to avoid this type of situations. If you plan on bringing friends into your room, text your roommate and make sure they aren't planning on going to sleep or studying. You can always go to a common space like the lounge or student union. In this case, it isn't better to ask for forgiveness than for permission.
- Having a significant other in the room.
- My current roommate has a boyfriend and they are as cute as anything. When he came to visit a few weeks ago, I offered to sleep somewhere else for the night because I wanted them to have time together (wink wink). My roommate actually felt really bad about kicking me out, but it wasn't like we didn't know he was coming or it was a random dude she hooked up with at a party. Since we planned ahead of time, I slept in my friends room and she had some quality time with her boyfriend. The second night he was over, I had to sleep in my room, though because of chronic back problems and I felt awful. Communicating about your health is also very important. If you are sick, your roommate needs to know so they can either help take care of you or stock up on their own cold medicines.
- You make the rules.
- Living alone means you don't have to worry about another human being, but by communicating, you do make the rules. There are areas you'll have to compromise in, like the fairy lights and sleeping in another room. My roommate compromises by doing homework in the lounge or a friend's room when I'm asleep and it works. We haven't fought at all, except for when I ask her to yell at me so I'll clean up. We haven't had a single spat about sleeping or homework or anything. All you have to do is talk to your roommate in a calm way and you can coexist without killing each other. You may even become very close friends.
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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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