- Walking past Sanford the week before a home game and feeling overwhelmingly excited.
- Binge watching Frank Martin’s pump up videos the night before.
- Waking up early and looking out the window to see red and black tailgates everywhere.
- Watching Georgia car flags in the wind.
- Passing strangers and greeting them with a friendly, “Go dawgs!”
- Tailgating on Milledge.
- Tailgating in Greek Circle.
- Tailgating anywhere.
- Cheering as the team makes their way toward the stadium in the Dawg Walk.
- Watching little kids run around in mini UGA football and cheerleading uniforms.
- Friendly strangers offering everyone food from their tailgates.
- Calling the dawgs anywhere and everywhere.
- Making your way towards Sanford Stadium with 92,000 of your closest friends.
- Walking past the Spike Squad.
- Standing by the hedges, surrounded by a sea of red.
- Attempting to replicate the cheerleaders' dances (and failing miserably).
- Looking towards the lone trumpet soloist as they belt out our battle cry.
- Watching Hairy Dawg pump up the crowd.
- Realizing Hairy is the most confident, hotshot mascot in the SEC.
- Scratch that, in the country.
- Oohing and aweing over the feature twirlers’ performances.
- Realizing the twirlers have more grace in their pinky finger than you have in your whole being.
- Getting chills from Frank’s videos on the jumbotron. They were good the night before, but there’s nothing like watching them in Sanford with the team.
- Uga strutting his stuff across the field.
- Shouting, “Sic ‘em!” after kickoff.
- Cheering, “Georgia!” and having the south side of the stadium respond, “Bulldogs!”
- Standing in a packed stadium, no matter if it’s rain or shine.
- Barking as a sign of support.
- Watching our running game annihilate any opponent.
- Hugging, high fiving, jumping up and down with anyone and everyone after a touchdown.
- Feeling so much pride when you see the Georgia flag waving in the wind.
- Holding four fingers up right before the fourth quarter begins.
- Listening to the Redcoat band play “Krypton” while your hand is raised.
- Singing “Glory” at the top of your lungs.
- Walking out of the stadium after a win singing along with all the other dawg fans and thinking, “Thank God I’m a Georgia Bulldog.”
Welcome back
Sign in to comment to your favorite stories, participate in your community and interact with your friends
or
LOG IN WITH FACEBOOKNo account? Create one
Recommended for you
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
Trending Topics
Trending Stories
Best of Sports
![Cristina Yang and Meredith Grey in scrubs sit against a wall, smiling and enjoying a break.]()
![Woman in field with a red heart-shaped balloon under a colorful sky.]()
