Failure-Modes

There’s a problem with multi-agent AI systems that doesn’t show up until you run them in the wild, and a new research paper from Northeastern University has done the work of naming it precisely. The paper, “Agents of Chaos,” led by researcher Natalie Shapira, makes a claim that anyone who’s run multi-agent pipelines in production will recognize: the failure modes of two agents interacting are not the sum of their individual failures. They’re something qualitatively different and qualitatively worse. ...