
AI music tools are moving fast, but one issue keeps poisoning the well: models trained on copyrighted songs with little or no visibility into what went in. When creators cannot see the training data, they cannot consent, negotiate, or get paid, and we end up stuck in a bleak loop of scrape first and litigate later. I want a better outcome, and I think we already have a blueprint hiding in plain sight. I unpack how legal sampling works through TrackLib and why it is more than a niche producer...
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Episode 108: Can Music Escape The Algorithm? (with Keith Jopling)

Episode 107: Why Great Songs Go Unheard (And How AI Can Help Them Find Their Audience)

Episode 105: How Micro-Licensing Could Change The Music Industry

Episode 104: What Sustainable Artist Development Really Looks Like (With John Hart)
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