Applied use cases
CounterPunch published a January 2018 postmortem detailing what its investigation had found: articles plagiarized from The New Yorker, the Saudi-based Arab News, and other sources; prolific “journalists” who filed as many as three or four stories a day, but whose bylines disappeared after inquiries...
The agency had long tapped into driver address records through law enforcement networks.
Eyeing the breadth of DMV databases, agents began to ask state officials to run face recognition searches on driver photos against the photos of undocumented people.
Liam Porr, a computer science student at the University of California, Berkeley, used the new machine learning model to generate the post with the intention of fooling the public into believing it was the product of a human mind.