To all the injured athlete's that are going to be out for a long time and possibly miss their season, I want you to know that you will get through it. It is always difficult to be injured and not get to play, you may even feel useless and not needed. To think about everything you could be doing to help the team and actually not be able to do it is a feeling that really takes a toll on someone. I'm going to be honest here, there will be those feelings of denial, anger, sadness and even guilt. It is not an easy situation to be in. You are going to be in denial. You won't believe that you actually have a severe and long-term injury. You are going to tell yourself that you can try to suck it up and play, but you can't. It's difficult to accept the fact that you are not allowed to play the sport you practice and work so hard everyday to do. You will then most likely feel sadness. You will be so upset that this happened to you. You will constantly be thinking back to what happened and wonder why it happened. You will think about what you could have done to prevent the injury. If you just didn't turn that way, if you were taken out of the game just a minute before, if you would've actually followed your routine and not broken your superstition. Sadness will overcome you and you won't want to go to practice because it will make you upset to be there just watching your teammates do things that you aren't allowed to do. There will then be anger. You will get annoyed that you can't do the things that you normally do. Whether that be running, jumping, walking, lifting things up, going up the stairs, being able to carry your own plate. The frustration will get to you and be unbearable. The anger might overcome you and you won't want people help you do anything because it makes you feel even more useless than you already feel. After anger there might be some guilt. After you see your team lose a game that you know they should have won you will blame yourself for that loss. You will say to yourself, if only I could have been out there. You will also think, if I wasn't injured we could have won. It's okay to have all of these feelings at some point or another. It's common and it would be weird if you didn't have them. You just really need to stay strong during this entire recovery process and surround yourself with people that will not only stay positive, but that will also be willing to help you with whatever you need. The injury you have to deal with makes you stronger and you might hate having the injury but you now learn a different side to the game. The side where you not only have to be positive but you have to help your team off the court as much as you would if you were on the court. This is a tough process but I promise you, you will learn so much about yourself and what it means to be a leader from the sidelines that at the end of all of this, when you can go back on the court you will be a wiser and new type of athlete.
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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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