- You need a bomb playlist:
- If you do not have a play list that you have been working on for at least a week before you leave are you really going on a road trip?
- Snacks are King
- Yeah sure you can always stop at a rest stop or a gas station and get a snack. But let’s be real we all know that we need more than just one snack, you need at least 10 per person. Snacks can be entertaining too, i.e. throwing them at each other and trying to catch them in your mouth.
- Stops: to take them or not to.
- I live by the rule of only stop if you need gas or you are about to pee your pants. And thank god so are my friends. Nothing grinds my gears more when we are in the car and stopping every hour. Or when there is that one person in your group who says at the time they do not need to pee but 15 minutes later they do, but sucks to be them since the next rest stop is not usually for 45 miles.
- Everyone has a job.
- Driver: only job is making sure we do not DIE
- Shotgun seat:
- DJ, if you fall asleep and let the tunes go you might get left behind at the next rest stop.
- Navigator, super duper important you do not want to be traveling in the wrong direction for 2 hours. And if that happens you will be the most hated person in the car.
- Backseat:
- i.One is usually the snack provider and drink distributor (so pretty much mom) and since we had two people in the back seat they also provided entertainment. Which includes and is not limited to, backseat driving, punching each other, making song requests, throwing food, denying food and drink to the driver, dancing, snap chatting incessantly, and last but not least having the ability to sleep and not feel that bad.
- Test of Friendship
- If you can survive 9 hours in the car with your best friend’s, you can pretty much survive anything. People in the car can be really annoying and it can ruin a friendship. But thankfully I have best friends that are equally annoying when we are not in the car so not much has changed and for that I am thankful. Our friendship after this trip will more than likely be stronger. We will have created memories that will last us a life time. And those memories will be shared with our children when we are encouraging them to do stuff like this. This road trip has defiantly been worth the 9 hours of driving.
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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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