Bare feet, bare hands, and bare chest – if it weren’t for the cargo shorts and the brief sound of a plane overhead, we’d swear the video below was footage that slipped through a time warp. No Arduinos, no CNC or 3D anything, but if you doubt that our Stone Age ancestors were hackers, watch what [PrimitiveTechnology] goes through while building a tile-roofed hut with no modern tools.
The first thing we’ll point out is that [PrimitiveTechnology] is not attempting to be (pre-)historically accurate. He borrows technology from different epochs in human history for his build – tiled roofs didn’t show up until about 5,000 years ago, by which time his stone celt axe would have been obsolete. But the point of the primitive technology hobby is to build something without using any modern technology. If you need a fire, you use a fire bow; if you need an axe, shape a rock. And his 102 day build log details every step of the way. It’s fascinating to watch logs, mud, saplings, rocks and clay come together into a surprisingly cozy structure. Especially awesome if a bit anachronistic is the underfloor central heating system, which could turn the hut into a lovely sauna.
Primitive technology looks like a fascinating hobby with a lot to teach us about how we got to now. But if you’re not into grubbing in the mud, you could always 3D print a clay hut. We’re not sure building an enormous delta-bot is any easier, though.
Continue reading “Up Your Tiny House Game With Stone Age Hacks”


running a calculus function on an Arduino presents a seemingly impossible scenario. In this article, we’re going to explore the idea of using derivative like techniques with a microcontroller. Let us be reminded that the derivative provides an instantaneous rate of change. Getting an instantaneous rate of change when the function is known is easy. However, when you’re working with a microcontroller and varying analog data without a known function, it’s not so easy. Our goal will be to get an average rate of change of the data. And since a microcontroller is many orders of magnitude faster than the rate of change of the incoming data, we can calculate the average rate of change over very small time intervals. Our work will be based on the fact that the average rate of change and instantaneous rate of change are the same over short time intervals.






