Mapping the ecosystem behind artificial intelligence
The network of AI models reveals an expanding genealogy of reuse, modification and recombination.
Complexity Thoughts
Complexity explains why cells, societies, ecosystems and AI behave in surprising ways. This newsletter uses complexity and network science to make sense of our interconnected world, from microscopic systems to global challenges.
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When statistical physics escaped matter
The 2026 Dirac Medal celebrates Derrida, Dhar, Mézard and Sompolinsky, and a way of doing physics travelling far beyond its original domain
Decoding the “Architecture” of Living Systems: Chapter 4
DALV-04: Hierarchy without a designer allows evolution to preserve partial progress and limit the costs of coordination
The experiment is over: we tried to outsmart the algorithm; here’s what happened
One year later, the data — and our community — have an answer
Complexity Thoughts: Issue #87
Unraveling complexity: building knowledge, one paper at a time
How to build a topic directory for your Substack
In less than 5 minutes
Decoding the “Architecture” of Living Systems: Chapter 3
DALV-03: loops, the minimal units of redundancy, control, and closure
Complexity Thoughts: Issue #86
Unraveling complexity: building knowledge, one paper at a time
Decoding the “Architecture” of Living Systems: Chapter 2
DALV-02: the information storage “paradox”
What network structure alone cannot tell us about complex systems
Structure shows where interactions can happen, while functionality depends on how perturbations actually move