[Verse 1] Sarah built her startup with an AI dream machine Scraped ten million photos from the web's vast scene But then the lawyers called her up one Tuesday afternoon "Who owns the data that you used to make your fortune bloom?" [Chorus] License, own, protect - the triple threat you need Data in, models out - mind the legal deed Training sets and output nets, confidential seeds L-O-P remember well these AI property creeds [Verse 2] Marcus used a language model trained on GitHub's code Generated software for his client's heavy load The customer demanded rights to every line they got But who's the real author when machines connect the dots? [Chorus] License, own, protect - the triple threat you need Data in, models out - mind the legal deed Training sets and output nets, confidential seeds L-O-P remember well these AI property creeds [Bridge] Fair use defense might save your training phase But commercial use changes all the legal maze Clean room datasets cost more upfront gold But sleeping soundly makes those contracts bold [Verse 3] Rachel's team fed customer secrets to their AI brain Optimizing models with proprietary domain One small leak in training logs exposed the hidden truth Now competitors know what took them years to sleuth [Chorus] License, own, protect - the triple threat you need Data in, models out - mind the legal deed Training sets and output nets, confidential seeds L-O-P remember well these AI property creeds [Outro] Document your sources, audit every byte Terms of service matter when the stakes are right Build your AI castle on foundations crystal clear Innovation thrives when legal boundaries are near
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