ADVERSA: Measuring Multi-Turn Guardrail Degradation and Judge Reliability in Large Language Models
The episode discusses the paper ADVERSA, which demonstrates that AI safety guardrails degrade over time during multi-turn conversations. Hosts discuss quantifying this degradation and addressing the dual problem of fallible models and human judges. The conclusion emphasizes moving toward continuous, stateful monitoring to build trust.