Good point, thanks. The way I modeled the adjustment was by assuming that most usage is captured by Statcounter but there’s movement back and forth to a reservoir that flies under its radar, in bursts, with zero net movement in the long run. So I used a geometric mean of the source data scaled by the square root of their averaged ratio.

Today’s a dear friend’s birthday, and I’ve got a really cool present for them!

Getting an initial impression of some new field I want to learn about. I ask the model for a short summary and links to more in-depth information. This would be more difficult to do on my own when I don’t even know where to start.

Microprocessor manufacturing. Just think about it: we invent a device called the transistor. We’re making them one by one and using them to make computers. And then, we just find the way to cram more and more of those devices in tiny, dirt cheap slabs of silicon that are literal computers by themselves. In 2021, a typical processor contained 60 billion transistors.