aiqbench analysis

Multi-agent AI systems can agree on raw data and still diverge on its meaning, which can produce inconsistent decisions even when inputs match. The excerpt is too brief to show the authors' methods or evidence, so the framing rests on the headline. For readers building agentic systems, the practical question is how shared schemas, definitions, and grounding are enforced across agents.