I found an interesting NECSI article applying complex systems theory to basketball. It explores how the sport functions as a multi-scale system, looking beyond individual stats to understand collective patterns and emergent team behavior.
I curated a collection of resources exploring complexity science and networked systems. The links cover the twelve principles of the networked world, the nature of complex adaptive systems, and speculative 'what if' scenarios in artificial intelligence.
I found Complexity Digest, an extensive collection of articles and papers on complexity science curated from across the internet. It provides a central hub for exploring research on complex systems, emergence, and interdisciplinary scientific developments.
I found this speech by Gregory Chaitin on the paradox of randomness particularly insightful regarding complexity theory. It examines how algorithmic information theory defines randomness and the inherent limitations of logical systems.
I found a Java animation called 'dots not google' that features swarming behavior. It reminds me of the nanotech swarms in Michael Crichton's novel Prey, showcasing emergent complexity through simple interactive particles.
Llama 3 405B reportedly behaving like an amnesiac without a system prompt suggests that large models can develop strange, scale-driven emergent behaviors around alignment and role setup.