Same Payload, Different Channel: Measuring Trust Asymmetry in Tool-Using Language Models
The episode discusses the paper "Same Payload, Different Channel," which measures trust asymmetry in tool-using language models. The authors find that AI performance degrades when tools require deep, sustained contextual understanding or conceptual mode switching within a single session. A measurable difference exists in how the AI treats instructions depending on whether they are delivered through a conversational chat or embedded within a tool definition, necessitating channel-specific security protocols.