If you're anything like me, Rupi Kaur is your new modern day literary hero. From her metaphoric poetry, to her ability to relate to almost every reader, she will leave you with a new outlook on life. For those of you reading this who haven't had the chance to experience this book, you should head to Amazon and place your order right now. Buy it and place it on your nightstand to read every night before you sleep. Read it in the morning as well. You won't regret it. "Milk and Honey" is a book that relates to women from all walks of life, no matter if you are 16, 36, or 76. Whether you are part of the "loving", "healing", "broken", or "hurting" group, you will find something within her words that inspires you. Kaur tells us all to keep living, keep going despite what we deal with on a daily basis. Living in a time of feminism and the empowerment of women, Kaur writes what many of us will want to teach our future daughters. Our bodies are our own, we're born beautiful, and we should never let a man tell us otherwise. Be comfortable in your own skin, it's the only one you'll ever have. Women should be free to be who they are, and to take pride in having emotions that eventually become words on a page. Order "Milk and Honey", open the first few poems, and smile. Or cry. Whether you are going through an unexpected breakup, or just found the love of your life, you will find something on each page that speaks to you. Kaur makes poetry something that we all should grow to love, instead of the subject that we all hated in high school. The words will make you want more, long after all of the pages have been turned. Let's all celebrate being a woman in this society together, through the words of Kaur. There's always a reason to smile, no matter if you're currently loving, healing, broken, or hurting.
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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?
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