Sublime
An inspiration engine for ideas
that people—or, if you like, automata, algorithms—can and do act in situations that are not well defined.
W. Brian Arthur • Complexity Economics: Proceedings of the Santa Fe Institute's 2019 Fall Symposium
📈 Kolmogorov & Wiener: The Godfathers of Modern Forecasting
Before the 1950s, forecasting was part art, part guesswork. That changed thanks to two brilliant minds—Andrey Kolmogorov and Norbert Wiener. https://t.co/s3bcc9P9uv
My most important paper ever: How uncertainty (errors on errors) fattens the tails. Connects to all epistemological traditions. w/@DrCirillo
Pages 1-4 https://t.co/XJB0A76sac
We just used chaos to explain intelligence.
https://t.co/kLZaKUOHuB https://t.co/8pkazoUvyK
Level two chaos is chaos that reacts to predictions about it, and therefore can never be predicted accurately.
Yuval Noah Harari • Sapiens
He proved, and received the Nobel Prize for showing, that some systems can, in fact, develop in an upward spiral of ever-increasing complexity.
Phyllis Kirk JD • Quantum Lite Simplified
Any understanding of the mundane world that we develop necessarily involves dimension reduction and simplification: so the story goes. We may end up with a tractable model that predicts reasonably well, but we’ll never get our error term to zero, and we mustn’t confuse our toy conceptions for a high-fidelity reproduction of “reality.”
eigenrobot • the map is of the territory
cybernetics
John R. Harness • 7 cards