  Large language model behavior is shaped by the language of those with whom
they interact. This capacity and their increasing prevalence online portend
that they will intentionally or unintentionally "program" one another and form
emergent AI subjectivities, relationships, and collectives. Here, we call upon
the research community to investigate these "societies" of interacting
artificial intelligences to increase their rewards and reduce their risks for
human society and the health of online environments. We use a small "community"
of models and their evolving outputs to illustrate how such emergent,
decentralized AI collectives can spontaneously expand the bounds of human
diversity and reduce the risk of toxic, anti-social behavior online. Finally,
we discuss opportunities for AI cross-moderation and address ethical issues and
design challenges associated with creating and maintaining free-formed AI
collectives.
