- You learn to cherish your time together
Since seeing each other is rare, you always look forward to it with butterflies in your stomach.Plus you learn to make every second count since you're not always there. - There’s excitement to the anticipation of seeing your significant other
Countdowns, hearts around dates, and excitement are constant and become part of your every day life. Looking at the clock slowly tick on the days you're suppose to see your significant other can be a drag, but good thing there is shared locations now! - Less effort getting ready in the morning
Depending on where you are, or how long you’ve been dating someone, there’s a certain pressure to look presentable. It’s a good thing you can off days when your boyfriends not around.
- Being able to bond with other people
Making new friends and long lasting relationships is the best part of college, so don’t let being in a relationship change that! You can have time for friends and your significant other separately. - Communication builds stronger
It may not seem like it, but its hard work constantly putting effort into texts and conversations, but they help strengthen the relationship anyways. - You take advantage of FaceTime and every free second.
Thank god for FaceTime, which helps make sure you never forget the small details of your partners face and goofy personality. Plus, even a few minuted between classes turns into a phone call just to hear their voice. - “Me” time
This is important for everyone to make sure they get their own time for themselves, so there’s a benefit of never always being with someone. You do not want to get sick of over spending time with someone.
- More time to focus on school work
May seem odd, but it’s true! Without the distraction of someone constantly touching you, you have more time to study and get work done without wondering about the other person thinking you’re being distant.
- When you do see them, it’s the best feeling ever.
Finally being able to wrap your partner up in your arms and cuddle all night after not seeing them for a few weeks is defiantly the best part of a long distance relationship. - In the end, it will be for the better.
The best way to figh through the long drags of not seeing each other is reminding yourself that youre doing it to better the future for the both of you.
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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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