✍ Some writing to share! My latest feature for MusicTech has just gone live and it's a biggie. In it, I speak to Splice CEO Kakul Srivastava about the impact of AI technology on music. It's not all doom and gloom – far from it. "Trust the artists [with AI]. Every time we’ve put technology in the hands of artists, they’ve surprised us with what they can do." https://lnkd.in/emhNTe55
Oliver Payne’s Post
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Digital Consultant and IT Project Manager (PMP)▪️ Business Strategy, Technical Program Management, Project Management ▪️ Driving Growth through AI, Data, and Cloud
"The stakes are higher for AI music than for image generators or chatbots. Generative AI companies working in text or photos have options to work around lawsuits; for example, they can cobble together open-source corpuses to train models. In contrast, music in the public domain is much more limited (and not exactly what most people want to listen to)." #ai #music https://lnkd.in/e7T2qGvZ
Training AI music models is about to get very expensive
technologyreview.com
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Some thoughts about the emerging cultures of AI music. Tools like Udio and Suno are now evolving into mature platforms with their own communities and practices. Are the users of such platforms more like creators or consumers? The technology itself provides some pointers, but we need to know more.
AI can now generate entire songs on demand. What does this mean for music as we know it?
theconversation.com
A great quote and true to my finding for MANY areas of art and tech. 👏🏻