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Perhaps the greatest “phase transition” in our thinking that such an approach could engender is the maturation in our willingness to live with relatively high levels of uncertainty in the domains of complex phenomena—and thus give up on ideas like complete “cures,” the elimination of “risk,” the design of perfect “stability,” and achieving total
... See moreJessica C. Flack • Worlds Hidden in Plain Sight: The Evolving Idea of Complexity at the Santa Fe Institute, 1984–2019 (Compass)
Real-world Complex Systems contain collections of objects whose complicated overall interactions feature feedback and memory.
Neil F. Johnson • Simply Complexity: A Clear Guide to Complexity Theory
chaotic behavior changes and becomes more turbulent as the number of degrees of freedom increases.
J. Doyne Farmer • Making Sense of Chaos: A Better Economics for a Better World
emergent phenomena, ergodicity, radical uncertainty, and computational irreducibility.
Richard Bookstaber • The End of Theory: Financial Crises, the Failure of Economics, and the Sweep of Human Interaction
1/ SakanaAI just dropped their latest research: Transformer²
It's a self-adaptive architecture that allows AI to evolve at inference time.
Model weights are no longer "static"
Let’s break it down: 🧵 https://t.co/JQcR0qpvax
Complex Adaptive Systems: An Introduction to Computational Models of Social Life (Princeton Studies in Complexity)
amazon.com
