FRESH FREQUENCIES.
Guides, tutorials, and brutally honest reviews on AI music — from people who test these tools every day.
When SZA Said No: AI Music Generation and the Fight Over Training Data
Last month I fed eight bars of my own singing — a scratch vocal from a film cue I scored in 2016 — into a voice-cloning tool to see what would happen.
AI Music Detection Tools Promise to Clean Up Your Playlists. Here's What They Can Actually Tell You.
A detector once told me a track on my running playlist was machine-generated. I'd seen the band play it in a basement in Oakland two years earlier — three people, one of whom broke a string.
Read signal →AI Music Training and the Consent Problem: What Your Catalog Is Actually Worth
A vocalist I know got a screenshot from a fan last spring. It was a forum thread listing the records an AI model had reportedly been trained on, and her name was on it — a specific number of songs…
Read signal →The Anatomy of Music Licensing Disputes: How a Defendant Turns "Pay Up" Into "Prove It"
The advice rights-holders run on is simple enough to fit on a notecard: assemble a catalog, document the unlicensed use, attach a damages figure large enough to command attention, and the platform…
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The Privacy Policy Wall Between You and the Sample: What Consent Actually Does Before You Hear a Note
You followed a link to an industry report — something about international music markets in 2026 — and the report did not load. A privacy policy banner loaded instead.
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The Bot Math: Why 50% Engagement Drop-Off Is the Only Artist Promotion Number That Matters
You open SoundCloud on a Tuesday and the track you posted Sunday night has 4,000 plays. You did nothing. No DSP placement, no blog, no post that took off. Just 4,000 plays, sitting there.
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The Data Behind a Patriotic Song: AI Music Generation as a Mass Creative Workflow
It is 2 a.m. on a campus somewhere in Jiangsu, and a second-year student is on her fourth render of the night.
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