- "What do you eat?"
- "So where do you get your protein from?"
- When you go to a friends house for dinner…good luck.
- "I could never do that."
- "Don’t you miss bacon? I LOVE BACON."
- When you think you're safe eating cheese...look it up.
- "Do you take any vitamins?"
- "You eat like a rabbit."
- "So you do yoga then, right?"
- "So do you eat dairy?"
- "How about eggs?"
- "Why did you go vegetarian?"
- "You're such a hippie."
- "Are you ever going to eat meat again?"
- Creating your own meal at a restaurant.
- "You know, I tried being vegetarian once"
- "So do you only eat salads?"
- "This meal would be better with (insert any meat)."
- "Can I eat meat around you? Is that weird?"
- "How about fish?"
- "We were meant to eat meat you know."
- "You’re technically killing plants though…"
- "I HATE tofu."
- "But just you being vegetarian doesn’t save the animals."
- "What’s tempeh?"
- "Want to try my burger?...JUST KIDDING."
- Sifting through the menu to find something semi accommodating.
- "I still can’t believe you gave up bacon."
- Vegetarian soup: made with chicken broth (????).
- "Sorry for eating meat in front of you."
- Checking the ingredients of everything before you buy it.
- "I’m vegetarian too! But I eat chicken still. I can’t live without chicken."
- "My burger ate vegetables, so I’m set."
- "Did you go vegetarian to lose weight?"
- Telling people you're veg to not get the wrong food, not to be pretentious.
- Double checking your food before eating it.
- Say goodbye to marshmallows!: gelatin.
- "But did I mention bacon yet?"
- "You must eat the same thing all the time."
- Quinoa is your best friend.
- People thinking you're vegetarian to be trendy.
- "I hate hummus."
- "You probably eat twigs."
- "You can pick the meat off of it right?"
- "Do you ride a bike everywhere?"
- "Don’t you feel weak all the time?"
- No, I am not going to sway you to eat one way.
- "Will this restaurant work for you?"
- "Do you meditate as well?"
- Thai food will save your life.
- "Would you date someone who isn't a vegetarian?"
- "You're basic, you eat avocados."
- Double checking your coffee has nut/soy milk.
- "You're strong to be able to live like this."
- Yes, I do eat granola every day, and yes I do see that it's ironic.
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
