Sublime
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There is an additional element of importance: these systems usually generate implicit internal models of their environments, models progressively revised and improved as the system accumulates experience. The systems learn.
Jessica C. Flack • Worlds Hidden in Plain Sight: The Evolving Idea of Complexity at the Santa Fe Institute, 1984–2019 (Compass)
“The Hard Side” of a network—the small percentage of people that typically end up doing most of the work within the community.
Andrew Chen • The Cold Start Problem: How to Start and Scale Network Effects
So, optimizing utility changes over many parallel worlds actually also optimizes wealth itself over time. That’s sort of the message.
W. Brian Arthur • Complexity Economics: Proceedings of the Santa Fe Institute's 2019 Fall Symposium
Why I Am a Pluralist
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In 2020, Avital Balwit had won a Rhodes Scholarship and turned it down, first to run Carrick Flynn’s congressional campaign and then to give away FTX’s money. Leopold Aschenbrenner, who had entered Columbia University at the age of fifteen and graduated four years later as class valedictorian, had just declined a spot at Yale Law School to work for
... See moreMichael Lewis • Going Infinite: The Rise and Fall of a New Tycoon
as cities grow and their networks evolve, the area or volume of the networks needed to keep them functionally connected tends to become smaller on a per capita basis. For example, in larger cities more people can share the same bus or segment of road or sewer pipe.
Jessica C. Flack • Worlds Hidden in Plain Sight: The Evolving Idea of Complexity at the Santa Fe Institute, 1984–2019 (Compass)
Education economist Greg Duncan,