Make Magazine interviews Werner Strama, who built his own teardrop camping trailer (here's a detailed HOWTO if you want to try it yourself). Strama talks about how he approached the project and the lessons he learned about scratch-building something ambitious and wonderful:
After we decided on the teardrop, I started collecting hundreds of pictures of all the items we believed would be best for our needs: that is, three person sleeping area, a small kitchen in the back, self-powered when needed, very well insulated, for we would be going camping year round to different places, especially hot springs (we have very nice ones in Colorado). Also I needed to keep the costs down so not to be a burden on our finances, and not to fall into the “credit card trap.”
I enrolled my neighbor Denny since he is just an amazing bargain hunter on camping stuff; he was the one who found the old popup camper for free, as well as the stove with the oven, which turned out to be a very nice touch. With the trailer chassis, I set to calculate dimensions and average weights to maintain 12–15% of the total weight on the hitch, which would make sure the trailer would be stable. All it takes is some simple math and three bathroom scales. Then it was a matter of getting the wood, some extra tools, like a router, and a sabre saw to cut the profiles.
How and Why I Built My Own Teardrop Camper Trailer
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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