- It’s rare to like your own work. I struggle with appreciating my own artwork most of the time. I get frustrated with myself time and time again, because the finished product turns out different than how I pictured it. I am my biggest critic.
- You get asked to draw people a lot. I took a point in my art career to focus only on faces because it was a weak spot for me. I love drawing others, but sometimes I get overwhelmed with the requests -- I feel like I have to draw everyone who asks. I do enjoy drawing others and find it relaxing, but it's not relaxing when people become demanding and overwhelm me.
- You enjoy drawing, but hate it at the same time. I love drawing. It is one of my biggest passions, but sometimes it is more frustrating and stress filled than it should be. There have been days that turn out poorly and I fill out my sketchbook with drawings and other days I just can’t put anything down. It’s a love hate relationship.
- You have many ideas, but not the skills to follow through. I know I’m not the greatest artist out there. I can always learn something new, and there is always room for improvement. The frustrating thing, is when you have the greatest idea, but when you look at the finished product it isn’t what you wanted it to be.
- You have way too many art supplies. I have a box full of special art colored pencils that are very valuable. I spent a lot of money collecting art supplies, to try new ones, experiment, and use tools I know and love. It can be very frustrating when you want a certain art supply but it is just too expensive.
- Art class is not as fun as doing your own thing outside of school. I love art classes, because I get to learn new techniques and methods. On the flip side I don’t care for when the teacher hovers over your shoulder as you draw. Also I like the freedom of being able to draw whatever I want, without any restrictions. It is super nice to take my art outside and listen to music and just be in the zone.
- Wanting to become an artist when you grow up. To be honest I’ve thought about continuing my art as a career path, but I’ve been stopped by the “starving artist” factor. I also would not want to produce pieces on demand; I’m more of a go with the flow kind of artist. I like freedom and being able to do my own thing.
- Your definition of “doodles” aren’t the same as others. I mean this in the least cocky way possible -- other people will look at your work and think it’s a masterpiece, but to you it’s "just a doodle."
- Starting drawings in school is better. For some darn reason I always am able to start drawings better in school than outside of school. It’s a bad habit, but in high school I would take my sketchbook with me and pull it out in certain classes that I could. Nonetheless, it is nice to go home once I have a rough outline of my drawing and actually sit down to complete it.
- Believing everyone can draw. I always tell others that they can draw, and I always get the same response. “No, I have no artistic ability”, which is false. Everyone can draw, it’s just the skill that differs. Everyone can improve, I try to improve. I definitely have more to learn.
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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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