Ai-training-data is a topic tracked in our intelligence system with 5 linked articles.
WIRED examines egocentric data gigs used to train robots, detailing platforms Kled, Luel, and Waffle Video, the payouts and data-quality issues, and the broader labor/privacy/regulatory risks for AI training data.
Wirestock raises $23M to supply multi-modal content from 700k creators to AI labs.
Five major publishers and an author sue Meta over allegedly training Llama on copyrighted works without permission, citing copying from pirate sites.
Britannica and Merriam-Webster sue OpenAI over allegedly memorizing and reproducing their content to train GPT-4, highlighting legal risk around AI training data.
Julia Angwin leads a class-action against Grammarly alleging privacy/publicity rights violations over AI editors.
Mercor, a three-year-old startup valued at about $10B, acts as a data-and-expertise middleman by connecting AI labs with former finance and law professionals who are paid up to $200/hour to help train AI models.
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