Marco Ciappelli🎙️✨
A thought about this Google DeepMind #Lyria model.
"Today with #youtube , we’re announcing Lyria: our most advanced music generation model able to create high-quality instrumentals and vocals. 🎶" -- #Google
The conversation around #AI in #music raises a fascinating point about the coexistence of traditionally composed music and AI-generated music. As with other forms of #art, there's an ongoing debate about the 'authenticity' and 'soul' in creations made by AI versus those crafted by human hands and minds.
On one side, we have music that's born from human experience, skills, emotions, and creativity – the "artisanal" approach, if you will.
This music carries the weight of personal touch, cultural background, and human imperfection, making it uniquely relatable.
On the other side, AI-generated music represents a new frontier. It's a blend of #algorithms, data, and #machinelearning, creating compositions that might surpass human capabilities in complexity and efficiency. Yet, can it replicate the depth of human emotion and experience?
This isn't just about choosing one over the other but understanding how they can coexist and complement each other.
AI in music could open doors to new forms of expression, just as the electric guitar did in its time.
But does it carry the same emotional weight as a piece born from human struggle, joy, or sorrow?
I'm still grappling with finding the right place for AI-generated art in our society. It undeniably has a presence, but understanding its role alongside human-created art is a complex and intriguing challenge. I'd love to hear others' views on this delicate balance between tradition and innovation in the realm of music and beyond.
I am quite sure a more extended commentary will follow on my Newsletter -- be sure to subscribe here > 👉 https://lnkd.in/gaR7dNBu
Sean Martin ITSPmagazine Podcast Network #lirya
#MusicAndTechnology #AIvsHumanCreativity #CulturalImpact #technology #rock #generativeAI #musicians https://youtu.be/rrk1t_h2iSQ?feature=shared
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