The paper "Making Turing machines useful (Or, how I got Doom to run on a Turing machine)" builds a Turing machine to run Doom (duh), by implementing a RISC-V (RV32I) emulator. While in Sigbovik fashion the utility of the exercise is far outshined by its complexity, there's a number of interesting choices regarding much of what are usually handwaved away regarding tape and state management. To be fair, TM have far less utility as real programming languages than lambda-calculi do, so it's common for professors to dismiss any attempt to optimize TM programs -- which is a root of evil. Since evil is also the source of doom, everything converges here.
I'm surprised that the recent advances in applying typography to engineering problems [1, 2] are not published at SIGBOVIK but are apparently going to a more serious journal.
His Youtube videos are gold. This one, in which he aims to take the imprecision of floating point numbers to extreme applications, such as training neural networks with linear activation functions or even implementing cryptologically-safe functions, is superb.
I'm also out of the loop but after some research, 0473 seems to be a TikTokism meaning "hug me, please." I would assume that this code uses octal notation, hence GP doing their math in octal, but the sources I've turned up describe codes with digits illegal in octal, so I don't really know.
Right, that's enough computers everyone. Back to books.
The Emperor Protects!
[1] https://www.researchgate.net/publication/390635826_Structura...
[2] https://www.youtube.com/watch?v=azDaPm13CT8
https://www.youtube.com/@tom7
https://www.youtube.com/watch?v=Ae9EKCyI1xU
https://www.ietf.org/rfc/rfc9759.html
OP apparently noticed that two weeks is almost 20480 decimal = 050000 octal minutes, just 320 = 0500 minutes in fact.