Makeup is the new trend all the girls are following and I am hooked on it too. I love looking up ways to do my makeup and trying new ideas. Brands have a lot to do with the makeup and knowing good brands from not so good brands can help a lot.
Too Faced is by far one of my favorite brands. I love the Chocolate Palette and the Born This Way foundation. The Melted lip products work extremely well too. I don't personally use their bronzers but I've seen amazing reviews. Also, The Cocoa Contour Palette works extremely well too. It's pigmented and comes with an amazing brush. Their foundation primers aren't oily but hydrating. Overall the brand is really great.
NYX is a less expensive brand than two Two Faced and has a huge line of product. They have lip creams, foundations, illuminators, eyeshadow and etc. my favorite products in their like is the matte lip creams and the matte finishing spray. The lip creams are heavily pigmented and comparable to other more expensive brands. They also have great lip liners. The fact that they are affordable and very long lasting makes them one of my favorite products. Their foundation was also one of my favorites. Overall great brand.
Anastasia Beverly Hills is another line of product that I really like. Their eyebrow products are amazing especially their Brow Wiz and Dip Brow. Their contour palette is great too except it is creme and I don't like that personally. Their Modern Renaissance Palette is one of my favorite palettes. It has a wide spectrum of colors that I like and it's great for all occasions.
Urban Decay is that brand that everyone knows about but doesn't dive far deep into the brand itself. Their known for their Naked Palettes especially but I'm a huge fan of their eye primers. Also, I like their complexion rescue foundation. It adjusts great to my skin tone and is long lasting. They have great highlighters and a great finishing spray also.
Overall most makeup brands carry the same product. It's just a matter of the brands you like and how much you'll get into them. Clearly, I'm a big fan.
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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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