From Quartz.
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Free, large-scale web data scraping for AI training is ending as blocks, fees, and legal challenges rise.
New AI training data markets are forming around personal data ownership and licensed access. Companies such as Vana propose systems for individuals to contribute platform histories and documents for model development in exchange for payment.
At scale, 100 million contributors across five platforms could create datasets many times larger than current corpora, supporting more personalized systems and shared stakes.
A second track targets physical-world mapping: Spexi is deploying over 10,000 drone pilots to cover six million acres in 300 North American cities at resolutions beyond satellites, with updates still an open issue.
A third focuses on unusable corporate archives caused by data quality, silos, and missing context. #aidata #dataownership #digitaleconomy #mappingtech #bigdata
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