Last summer, Zach Weiner (creator the most excellent Saturday Morning Breakfast Cereal webcomic) ran a monumentally successful Kickstarter for a CC-licensed Choose-Your-Own-Adventure title called Trial of the Clone: An Interactive Adventure!.
I've finally gotten around to reading my copy and it's an absolute delight. Not only is it witty and often laugh-aloud funny -- it's also got a novel and well-thought-through game mechanic that introduces an element of tabletop RPG-playing to the system (instead of rolling dice, you flip randomly through the book and get your roll-value from the number at the bottom corner of the page).
The premise is a fun spoof of the Star Wars trilogy. You're an orphaned clone (they decanted you in order to fill a hot market wherein rich people competed to adopt orphans, quickly exhausting the existing pool of orphans and giving rise to the practice of cloning; alas you were decanted just as the market crashed) and you're sent to live with a mystic cult of warriors who train you and enlist you in an intergalactic war. The humor is trenchant, never too on-the-nose, and never gets in the way of what turns out to be rather a good story. As an added bonus, "nearly all the proper names in the book are dirty words in Czech."
Profits from this book are donated to Fight for the Future, one of the activist groups that led the charge that killed SOPA last year.
Trial of the Clone [Amazon]
Trial of the Clone [SMBC]
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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