You learn the value of independence. Both emotional and financial. You learn that if he can’t handle you at your fodonga, he definitely doesn’t deserve you at your novela. You have been taught to be strong-willed, opinionated and fiercely independent maaaaybe with a dash of sass and/or attitude. But it makes you, you. You learn you create your own happiness.
You learn to love yourself. She taught you how to let go and walk away from things that were not meant to be. She’s shown you by example how to hold your head high and keep going even if it feels like the whole world is against you. You learn failures, bad grades, and heartaches do not define you as a person and she taught you how to get back up from the rejections and setbacks with grace… and that is what truly defines you.
You learn how to be a chingona. Being a chingona means to be a boss or your own boss. You learn to value the meaning of independence and the struggle she endured to bless you with that privilege. You know that you don’t need anyone else to dictate your successes for you. You learn to walk with your head, heels, and hair up high.
You learn how to think not what to think. You didn’t just memorize what you read about, instead she taught you to question it and form your own opinions. You learn to gather information from as many sources as you can and evaluate your own conclusion. She taught you to always be willing to learn and change your mind, you also learn it’s okay to be wrong sometimes and even to fail. It’s how you learn.
You learn to never take anything for granted. You learn that your mother is strong because of all the sacrifices and adversities she has gone through, and you learn to never take anything with a grain of salt. You learn to work hard for what you want but still always remember to count your blessings including that you can’t thank God enough every day for blessing you with a fighter, baker, driver, fashion adviser, personal cheerleader, does-it-all superhero, best friend for a mother.
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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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