FRESH FREQUENCIES.
Guides, tutorials, and brutally honest reviews on AI music — from people who test these tools every day.
The Training Data Question: What AI Music Generation Owes the Artists It Learned From
Last month I typed a friend's stage name into the search box of a public dataset that several music models were trained on.
Build Your Own Sleep Audio With AI Music Generation: Where the "Just Play White Noise" Advice Breaks Down
The standard advice for a brain that won't power down at midnight is some version of: put on a looping rain track, or a white-noise app, or one of those eight-hour "deep sleep" playlists, and let it…
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AI Music Training and the YouTube Clause: How Your Catalog Becomes Someone Else's Dataset
There is a sentence in YouTube's terms of service that most artists scroll past on their way to hitting publish.
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AI Voice Generation Is Coming for Audio Ads — But "Set It and Forget It" Is the Wrong Read
First Snap, then Spotify. Within the same stretch of earnings-season optimism, two platforms that sell attention by the second started pitching the same idea to advertisers: describe your product…
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AI Music Generation Has a Consent Problem It Was Born With
An artist opens a search box, types her own name into a public index of AI training data, and watches the results stack up. Not a track or two. Her catalog.
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Meta Platform Development and the $46 Billion Question Behind the Prediction-Market Bet
There's a number that should sit at the top of any memo about a new Meta platform, and it isn't a user count.
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The Quiet Trap in AI Training Data Licensing: What a Dataset's Curation Owns That the Songs Don't
You can clear every single track in a dataset — every Creative Commons attribution, every share-alike clause, every artist credit logged and honored — and still lose a copyright case over that…
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