Me Before You is a touching story about two characters who
couldn’t have less in common, who meet by chance and miraculously fall in love.
The main characters are Louisa Clark, her parents, her sister Katrina, Will
Traynor and his mother. The story begins showing Louisa in desperate need of a
new job when the café of her current job closes. She interviews to be a
caregiver for Will Traynor who is a quadriplegic, the interview is done with
his mother. As Louisa is working for them she finds out that Will Traynor wants
to end his life, as he is not happy having to depend on everyone else for
everything. His mother begs Louisa to try to convince Will that life is still
worth living. Louisa takes Will on a series of adventures to try to change his
outlook. I can relate to the character Louisa in the story, as I am currently
dating someone who has depression. It is not easy seeing someone you love so
miserable with their life, I can relate to the pain Louisa felt, and the love
that she felt for Will despite everything. I also heard some of the things Will
said to Louisa to be things that my boyfriend has said to me. I enjoyed the
book overall, I was drawn in by the relationship between the characters and was
constantly turning the page to figure out what they would do for each other
next. I feel Louisa discovered a lot about herself and that is something anyone
could relate to with growing up. I wouldn’t recommend it to someone who is
looking for a fast-paced story or a thriller. I would recommend this book to anyone who likes romance or a good coming
of age story. I know that some people dislike the book because it makes people
in a wheelchair seem like they can’t do anything. But, I know from my gathering
that Will is a unique character. He has his own reasons for doing what he
wanted. It may have involved him being quadriplegic but I feel that certain
things had to happen in the story for the way the characters are. If you haven’t
yet, give Me Before You a try.
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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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