Unverified50% confidenceFactExact time
Multi-agent systems based on natural language communication introduce new challenges such as hallucination propagation, infinite loops, and coordination overhead.
1
Sources
50%
Confidence
Long-term
Relevance
8/30/2026
First Seen
Sources
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Related Claims
UnverifiedMulti-agent systems introduce new complexity: each context transfer between agents consumes additional tokens, and errors are amplified in a cascading fashion across the agent chain.69% similarUnverifiedIn multi-agent collaborative systems, single-point hallucinations can propagate and be amplified between agents, forming a "hallucination echo chamber" effect.66% similarUnverifiedIn multi-agent scenarios, each invocation of each agent is billed independently, and context information passed between agents is counted repeatedly.65% similarVerifiedCommon failure modes in multi-agent architectures include infinite loop calls between agents, amplification of erroneous information along the transmission chain (hallucination cascade effect), and deadlock issues when some agents time out.65% similar
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