If, like me, you're always looking for ways to better yourself and become an improved version of you, then the idea of a new year and fresh beginnings should be very appealing. Towards the start of January many people make "Resolutions" they intend to keep, but slowly these promises fade out and we return to our old ways. These empty promises aren't kept because they haven't became a habit yet. Of course, you can choose to change your habits at any point during the year, but with the new year comes a new opportunity forcing you to improve. So as we approach 2017, reflect on the past year. Think of what you did right, and what you learned from being wrong. Remember the good, and the wisdom you gained from the bad. Feel the love you shared, and discard the hate you experienced. Decide now what you want to bring with you in 2017, because the future is here, and I will embrace it with open arms and an optimistic spirit. These new resolutions you promise yourself are attainable with the correct mindset and the right amount of determination. Steer your mind in the direction you want your life to go this year, and watch for the final destination. Never give up on yourself or your desires; because you can accomplish any idea that comes to your imaginative brain. Dream big for 2017, because greatness begins with thoughts and the desire to pursue them. From your current state, you have three options. First, you can remain stagnant and unmoving from your present position. Second, you can retrogress into darker stages. Or third, you can change your life for the better and begin to reach your full potential. There is always room for improvement, and with an attitude full of optimism and hope, you can be the person you want to become. Never forget your memories of the past, but live in the moments present, and look to the future for continual growth. In 2017 your happiness depends on one thing...you. Make up your mind; what you want and what you don't. Find the delicate line between doing what you please while still showing mature responsibility in your actions. This year come out of your comfort zone and show the world that you aren't a "new person," but simply an upgraded version of who you've always been. Search for improvement until it becomes second nature, and never settle for mediocrity. You are destined for greatness if you only believe it.
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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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