We have all experienced the dreaded world of group chatting. You do not want to offend the fellow members by asking to be taken out, and you
also have FOMO if you it, however, you constantly consider blocking the
messages from your phone. Here are seven reasons why I hate group chats.
1. It seems that your group chat is always the
busiest at 2 a.m. the night before a super early test, and you cannot turn your
phone on silent for fear your alarm won’t go off, so you listen to the constant
vibrate for a good half hour trying to let it lullaby you to sleep.
2. When you are in your 50 minute lecture and don’t check
your phone, you have 132 unread messages all from one group chat. Obviously, you have to read it all, just in case it pertains to you.
3. There are always those two people that forget
individual messaging is a thing, so they have full 10 minute conversations in
the group chat and you feel like you are creepily eavesdropping on their
conversation and feel uncomfortable reading it.
4. If you do not agree with the rest of the group
chat on something, prepare to be cyber-jumped.
5. There is alway that one person who watches all
your favorite TV shows live and ruins the big reveals and twists for everyone else
in the group.
6. When you write out a super long text for the
group chat in hopes to get support or recognition and everyone else thinks that
the other person will respond, so no one responds to you, you feel unloved
and invisible.
7. You have a constant fear that you are going to
get the group chats mixed up and accidentally talk bad about someone in the wrong
group chat for him or her to see.
Compared to all the great things that would take too long
to write, I probably should mention the seven reasons that I like group chat.
1. You get to laugh out loud in public because all
of your best friends are hilarious and you just can’t contain yourself.
2. You always have a group of friends standing by
when you are trying to procrastinate your homework to talk about anything from Pinterest
pins to stupid things people from your high school say on social media.
3. It is one of the fastest means of information and
gossip you will ever have. I found out Blake Lively was pregnant probably minutes
after Blake found out herself.
4. You can always find someone to go to lunch with
you, or to stay in and have a movie night, when everyone else is going out and you have
had too long of a day.
5. You have an instant panel of fashion judges.
Send a pic of the outfit you are planning on wearing and you will get
instant feedback.
6. You never have to think too hard about decisions.
Text the group chat and they will make
the decision for you.
7. Last, but not least, all of your very best
friends are just a send button away.
Welcome back
Sign in to comment to your favorite stories, participate in your community and interact with your friends
or
LOG IN WITH FACEBOOKNo account? Create one
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
Trending Topics
Trending Stories
Best of Relationships![Cristina Yang and Meredith Grey in scrubs sit against a wall, smiling and enjoying a break.]()
![Towson University]()
![Woman in field with a red heart-shaped balloon under a colorful sky.]()
