For all of you looking for binge-worthy shows on Netflix, here's a list of 81 just for you. Be sure to share it with all of you friends to help them out too! And if you've already binged on all of these, then it's probably a sign you should seek help for obsessive Netflix compulsion.
Friends
Burn Notice
Grey's Anatomy
Hawaii Five-O
Blue Bloods
Private Practice
Stranger Things
Unbreakable Kimmy Schmidt
Vampire Diaries
Quantico
Prison Break
Criminal Minds
New Girl
Scrubs
The Office
Parks and Recreation
Dexter
NCIS
Scandal
The Blacklist
Psych
Glee
The Glades
The Finder
Breaking Bad
Once Upon A Time
Heroes
Parenthood
The 100
Bones
Sherlock
Jessica Jones
30 Rock
Orange Is The New Black
How I Met Your Mother
Bates Motel
Two And A Half Men
Cosmos
H2O
Stuck In Love
Revenge
Making A Murderer
Supernatural
Arrested Development
The Walking Dead
The Grey
Pretty Little Liars
Chicago Code
What To Expect When You're Expecting
Teen Wolf
House
Gotham
Fargo
House Of Cards
Trailer Park Boys
Marcos
Human Planet
People Of Tomorrow
Bloodline
Weeds
Sons Of Anarchy
That 70's Show
It's Always Sunny In Philadelphia
American Horror Story
Malcolm In The Middle
Luke Cage
Daredevil
Gilmore Girls
Fuller House
Marco Polo
Grace And Frankie
Iron Fist
Master Of None
Lady Dynamite
The Crown
Flakes
Haters Back Off
A Series Of Unfortunate Events
Longmire
Graceland
Recommended for you
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 Entertainment![Cristina Yang and Meredith Grey in scrubs sit against a wall, smiling and enjoying a break.]()
![Towson University]()
![Woman in field with a red heart-shaped balloon under a colorful sky.]()
