In 2015, Stanford computer science PhD candidate Andrej Karpathy decided to test out some neural network tools he'd been experimenting with, and set them to generating plausible baby names.
Karpathy trained the net with a data set of 8,000 baby names and turned it loose. It produced a lovely collection of names, 90% of which were not in the training set.
The Unreasonable Effectiveness of Recurrent Neural Networks
#RandomExperimentSundays [Andrej Karpathy/G+]
Names from the experiment
(via Diane Duane)
Over the past decade or so, Lauren McLaughin (previously) has written a handful of outstanding YA novels, each dealing with difficult issues of gender, personal autonomy and the casual cruelty of teens, starting with Cycler (and its sequel, Re-Cycler) (a teenaged girl who turned into a boy for four days every month); Scored (a class-conscious surveillance dystopia); The Free (a desperate novel about a teen car-thief in juvie) and now, her best book yet: Send Pics, a gripping thriller about sextortion, high school, revenge and justice.
On Amazon, the box was described as “Used: like new.”
Privacy activst Murray Hunter's picture book Boris the Babybot tells the story of Boris, a robot whose job it is track all the babies and send their likenesses and preferences back to the factory so that its owners can make money by deciding who's a good baby and who's a bad baby.
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