Tracing Originals in AI Tracks + How Musicians Tune Out Distractions

The Rareform Rundown #101

Hello Friends,

Nathan here. Hope your week’s been going well and that you’re finding a little rest. I wanted to share a couple quick thoughts on the AI music conversation and some research around musical training and focus. Nothing heavy, just a few things I found interesting.

Let’s get on with it!

New projects + music we are looking for

PROJECTS

Excited to share that my track Wait For You, a collaboration with Haukur Karlsson, was featured in the Arco campaign!

Instagram Reel

New month, new update to our Rareform On Rotation playlist on Spotify. We refreshed it with the tracks we’ve been spinning lately. Tap in and see what’s been on repeat.

If you’ve been following the AI music conversation, you know one of the biggest questions is where these models are actually getting their influence from. Sony Group Corporation is reportedly working on new technology that could identify which copyrighted recordings have shaped an AI-generated track, and even estimate how much each one contributed. Instead of just flagging obvious copies, this system focuses on attribution.

It’s an interesting move in a space that’s been full of gray areas.

Focus is everything. In a world where sound is constant and layered, the ability to tune things out and lock in on what matters is a real skill. New research from the McGovern Institute for Brain Research at the Massachusetts Institute of Technology, published in Science Advances, suggests that musicians may actually have an edge here. The study looks at how musical training shapes attention at the neural level, and the findings are especially relevant for anyone working in music, sync, or sound design.

If you’re curious how this could impact the way you create, mix, or listen, read more on our site.

I appreciate you!

-Nathan

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