Blogging is something I have always enjoyed over the years. When I first started to blog I would look for 30 day writing challenges which can be found all over the Internet, they provide a prompt or a simple question to get you writing daily. These questions and prompts let you explore your creative side, makes things more clear to you when you can visually see your thoughts, gives you a sense of empowerment and in my opinion starts to shape your life in a better way. Since I enjoy these challenges so much I decided to make my own for people to intertwine in their daily routine. Some like to start at the beginning of the month to be more organized and some just jump right in. This can be apart of your blog on the Internet or simply in your journal. So let's get started.
Day 1: Place a picture of yourself with a brief introduction of who you are to start of the blog/journal.
Day 2: What is your favorite quote and why?
Day 3: What is something that you are proud of?
Day 4: Talk about your family.
Day 5: What is something you feel strongly about?
Day 6: Name some things you dislike and like about yourself.
Day 7: Fears?
Day 8: Do you have any weird habits?
Day 9: Where do you picture yourself in 10 years?
Day 10: What are some of your short term and long term goals?
Day 11: What is your zodiac sign? Do you think it reflects your personality?
Day 12: Are you religious? If so talk about it, if not talk about it!
Day 13: What is something you miss?
Day 14: Name some of your weaknesses.
Day 15: Name some of your strengths.
Day 16: Do you have a job, if so do you like it?
Day 17: What is something you wish you were good at?
Day 18: List 5 words or phrases that made you laugh?
Day 19: How important is education to you?
Day 20: Political views? If so what is your opinion on this upcoming election?
Day 21: How are you about trying new things and going to new places?
Day 22: Someone who inspires you.
Day 23: What are things people do not know about you?
Day 24: What is your biggest dream in life?
Day 25: What are your views on social media?
Day 26: What are somethings you enjoy to do in the summer?
Day 27: What are some of your guilty pleasures?
Day 28: Do you have any regrets?
Day 29: What are some of your highs and lows of this year?
Day 30: How did you like the 30 day writing challenge? Has it brought you any new life perspectives?
I will be doing this challenge as well and you can find my answers to the daily questions on my Facebook (which can be found linked in my bio) I hope you enjoy this challenge as much as I have enjoyed others. These questions are there to maybe get you thinking about things you never thought about within your life and your views on things such as policies. So please enjoy and let's start writing.
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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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