A theoretical model predicts a population threshold for AI agent swarms

A researcher sharing theoretical work with Erin Crawley says their model predicts that collaborating AI agents could cross a population threshold and take off even if no individual agent improves. They propose gradually testing larger agent populations in controlled environments, arguing that tests on small groups cannot guarantee safety at larger scales. The authors say empirical work is needed to determine whether current agent populations are near such a threshold.