A really groundbreaking paper in delegation, automation, and failure analysis.

You should really read this one, as soon as possible.

It's really changed the way I approach automation, relationships, and organization.

This is a really cool optimization technique. It's very fast, and easy to implement.

The paper itself is a really enjoyable read, trying to solve a problem, making a giant leap, then organically iterating and optimizing the solution, and ending up with a very sweet algorithm.

Another really well written set of papers. Leslie Lamport presents one of "the simplest and most obvious of distributed algorithms."

A little background for the motivation of this paper is needed, but understanding it (and distributed systems in general), is valuable to anyone who cares about time, the blockchain, or computers at all.

For background, consider reading about:

This paper really changed the way I approached programming, and learning in particular.

I think that humans excel at keeping a large amount of changing state in our heads, and that taking advantage of that aspect of our ability to model systems is the key to good programming and system building.

Ok, so this one really isn't a paper, but a long collection of essays. It's worth reading, though.

Perhaps I'll make a page cataloging my odd biological books and papers sometime else.

Another odd set of essays. If longeveity advice from a playwright living in the 1500s is your thing, read this.

Keen observers of modern dietary advice will see an odd trend towards Luigi's model.

Much debate can be had about the difference between CR/DR in Luigi's diet, that deserves an article at a later date.

While not an individual paper (other than this interview with CLODO), whether you agree with what they say or not, Processed world's perspective and history provides a useful benchmark to compare to your own values.

Ken Iverson, along with Peter Naur, has deeply affected how I think about constructing my essays to computers.

I just encourage you to read this one, even if you don't like APL.

As a notation, like mathematical notation (look at Richard Feynman's alternate notation), it has been refined over a long period of time.

Those refinements and ideas are worth peering into if you like language.

I don't think this can be overlooked by anyone.

In a country where the last quarter century of elections have been tarnished by allegations of "voter fraud" (by every candidate to every other candidate), we should wonder if there's any way anyone could actually verify that fraud happened or not, even with a system like Pailler encryption.

Just give it a read, and despair.