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To use a physics analogy, software systems model complex systems, which tend toward entropy (or disorder). Energy must be added to a physical system to preserve order. The same is true for software systems: architects must constantly expend energy to ensure good structural soundness, which won’t happen by accident.
Mark Richards • Fundamentals of Software Architecture: An Engineering Approach

Nassim Nicholas Taleb • Incerto 4-Book Bundle
Linus Lee • A cellular theory of communities | thesephist.com
Pace Layering: How Complex Systems Learn and Keep Learning
jods.mitpress.mit.edujods.mitpress.mit.edu
These are worlds that will be revealed not by better instruments but by new models and frameworks that allow us to see the familiar world in unfamiliar ways—to transform domains described into domains rigorously quantified and observations informally sensed into those formally understood.
Jessica C. Flack • Worlds Hidden in Plain Sight: The Evolving Idea of Complexity at the Santa Fe Institute, 1984–2019 (Compass)
Linus Lee • A cellular theory of communities | thesephist.com
There is no teleological arc for digital platforms; they don’t move in one direction toward perfection, the way hard drives have been able to store more and more data over time. Instead, it is cyclical, swinging between different strategies of centralization and decentralization like a pendulum.
Kyle Chayka • Filterworld
A decay rate is about time. Applying this concept to our social lives, we can ask, How long is the decay rate of technology and our social norms? How long does it take for what is of the present to be considered of the past (and therefore old)?