- Identify that you have writer's block by spending 3 hours writing absolute garbage, but then not deleting it because you have nothing else.
- Clean your bathroom, because it was on your to-do list anyway. Stop when you look up how to make a lemon scrub for your shower.
- Take a walk, not to avoid your responsibilities, but to "clear your head," which is the adult way of saying "avoid your responsibilities."
- Spend two hours talking to your editor about what you want to write, just to "test the waters." Then talk about Netflix.
- Go shopping for more materials to clean your bathroom, because nothing feels as good as a deep clean. Find none. Buy Cup Noodles instead.
- Watch YouTube videos and eat aforementioned noodles. Make sure it's a playlist, so that you don't have time to "get distracted" with other videos. Resolve to continue writing after you finish eating, then eat as slowly as possible. Ancient wisdom says this makes it taste better.
- Continue attempting to write. Don't look at the garbage you wrote earlier, it'll discourage you. Just add four page breaks above the garbage, and write more garbage. Then close the app.
- Do NOT switch topics.You've made a verbal commitment with your editor, and your toilet is shining. You have to finish.
- Go back to watching YouTube videos (binge-eating optional). Skip the playlists entirely; watch Buzzfeed videos. Stop the moment you say "just one more."
- Take another walk. If you consider writing about squirrels instead, refer to step 8. Go home when you consider calling your parents about the aforementioned squirrel.
- Do NOT text your editor about your struggles. Ancient wisdom says that they can smell fear. Instead, add six page breaks above the most recent garbage, and add to the pile. Do NOT light your computer on fire. It's not its fault you're bad at this.
- Give in and switch topics. Don't tell your editor.
- Submit your new topic, then turn off your phone. Ancient wisdom says that your editor can smell fear through texts.
- Discover that you no longer have writer's block. Angrily eat popcorn in a darkened room. Don't answer the door. Delete the garbage pile, then don't continue to write out of spite.
- Repeat.
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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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