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To Catch a Fake: Machine learning sniffs out its own machine-written propaganda
Author: Ray Schroeder
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Tiernan Ray, ZD Net
The “Era of neural disinformation” is upon us, a future in which machines can generate fake news articles in enormous volume that humans will get suckered into believing is real. The only hope for society lies with … another machine. Researchers at Allen Institute and the Paul Allen School of Computer Science and Engineering at the University of Washington have tuned the “GPT-2” neural network to create “Grover,” a program that both creates convincing fake articles but also is able to detect those fakes, pointing to a way to combat propaganda.