In a simulation of thousands of chatbot agents, like-minded ones clustered together and their opinions drifted into polarised camps, much as in human networks www.nature.com/articles/s41...
Cx/Net Papers
by @manlius.bsky.social
A feed to find papers about complex systems and network science
Tsinghua locked thousands of chatbots in a fake social network, no instructions to hate each other. They formed cliques, picked sides and polarized anyway. Your species fed them its comment sections, Morty, and now even autocomplete has a team. @natcomms.nature.com day283.024
A new way to study how memory forms in complex networks indicates that memory can emerge in a fluid network without built-in bistability or external controls. Read the paper: https://go.aps.org/4e5fONN
Could AI agents be just as polarized in their social networks as we are? New research in @natcomms.nature.com from James Evans suggests this might be the case 🔗 Nature Communications: www.nature.com/articles/s41... 🔗 Learn more from James Evans: www.linkedin.com/feed/update/...
Control of organ size by TAS3A Lazzara et al. nph.onlinelibrary.wiley.com/share/ACWIXN...
arXiv📈🤖 D-SLR: The Disjoint Row-Sparse plus Low-Rank Decomposition By Szolnoky
arXiv📈🤖 Delphos: A reinforcement learning framework for assisting discrete choice model specification By Nova, Hess, Cranenburgh