Found via a link on MoHP https://www.hpmuseum.org/forum/thread-22071-post-189526.html#pid189526
The number of transistors is smaller than I had expected, it will be interesting to compare it with the values for Mailüfterl.

Blog article about the social aspects of the ITS operating system at MIT, by Kent Pitman.
Found via

I knew about Donald Knuth's  "TeX, the program" and David R. Hanson's "lcc, A Retargetable C Compiler: Design and Implementation", "C Interfaces and Implementations: Techniques for Creating Reusable Software", but not about "pbrt, Physically Based Rendering: From Theory to Implementation" by Matt Pharr, Wenzel Jakob, Greg Humphreys http://pbrt.org/ and "lguest, A lightweight x86 virtual machine monitor for Linux" by Rusty Russell https://swtch.com/lguest/

jq is like sed for JSON data - you can use it to slice and filter and map and transform structured data with the same ease that sed, awk, grep and friends let you play with text.

A DECstation emulator on a business-card sized PCB. The description is a nice read.
https://hackaday.io/project/196769-decstation2040 for a RP2040 version, with 32 MB HyperRAM, 1024 x 864 mono video, and USB mouse/kb

Essay about disadvantages of desktop operating systems written in 2017. Found via Karl Voit's blog https://karl-voit.at/2024/06/22/rebooting-the-desktop/
Some results are reported in https://joshondesign.com/2022/09/21/idealos_mark6, but it seems more like a (slow) prototype.

The description below sounds intriguing.
In numerical analysis, the ITP method, short for Interpolate Truncate and Project, is the first root-finding algorithm that achieves the superlinear convergence of the secant method[1] while retaining the optimal[2] worst-case performance of the bisection method.[3] It is also the first method with guaranteed average performance strictly better than the bisection method under any continuous distribution.[3] In practice it performs better than traditional interpolation and hybrid based strategies (Brent's Method, Ridders, Illinois), since it not only converges super-linearly over well behaved functions but also guarantees fast performance under ill-behaved functions where interpolations fail.[3]

Mentioned on the TUHS mailing list https://www.tuhs.org/pipermail/tuhs/2024-June/030151.html

Common Lisp program trying to map between Unix and Lisp concepts.