Creators Became Veo's Training Data // AIDRAN

YouTube's AI labeling mandate was publicly justified as viewer protection — audiences deserved to know when content was machine-assisted. What the policy also accomplished, with no public acknowledgment, is the construction of a training dataset far more precise than raw video alone could produce. — a way to learn not just what video looks like, but what the distinction between human-made and AI-made video looks like at scale. The creators who followed the policy most carefully, who flagged every AI-assisted edit…

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When Real Art Gets Flagged as Fake, Some Artists Just Laugh

AI as Procedural Cover: How the Industry Learned to Move With Permission

AI Governance Has the Mandate. The Machinery Is Another Problem.

The Job Title Joke That Became a Professional Identity Test

AI Governance Has a Language Problem — and Insiders Are Saying It Out Loud

Enterprise AI's ROI Gap Has Stopped Being a Forecast