Jane Austen will appear on a new issue of the English £10 note, a welcome break in the sausage-fest that presently constitutes our specie. The new Bank of England governor Mark Carney -- a Canadian, from a country where the money is staunchly blokey -- confirmed the change after the outgoing governor Mervyn King let it slip.
"Jane Austen certainly merits a place in the select group of historical figures to appear on our banknotes. Her novels have an enduring and universal appeal and she is recognised as one of the greatest writers in English literature," the new governor said.
He also announced that the Bank would carry out a review of the process for selecting the historical figures who appear on banknotes, to ensure that a diverse range of figures is represented.
"We believe that our notes should celebrate the full diversity of great British historical figures and their contributions in a wide range of fields. The Bank is committed to that objective, and we want people to have confidence in our commitment to diversity. That is why I am today announcing a review of the selection process for future banknote characters," Carney said. The review will be overseen by the chief cashier Chris Salmon, whose signature appears on banknotes.
What an amazing turn of events. The only thing that would make this better is more women on the money -- I look forward to the Ada Lovelace fiver and the Emmeline Pankhurst 20.
Jane Austen to appear on £10 note [Katie Allen and Heather Stewart/The Guardian]
The Nightmare Machine is an MIT project to use machine learning image-processing to make imagery for Hallowe’en.
The Stormtrooper Decanter is on back-order, but you can pre-order one from the next batch for £22 — it’s based on Andrew Ainsworth’s original movie helmet moulds from 1976, and will provide endless opportunities to point to lowball glasses and say things like “aren’t you a little short for a Stormtrooper drink?” (via Bonnie Burton)
Yahoo has released a machine-learning model called open_nsfw that is designed to distinguish not-safe-for-work images from worksafe ones. By tweaking the model and combining it with places-CNN, MIT’s scene-recognition model, Gabriel Goh created a bunch of machine-generated scenes that score high for both models — things that aren’t porn, but look porny.
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