Expired50% confidenceFactExact time
The infinite loop problem in multi-agent systems (where two AIs pass the buck to each other) typically does not appear during the demonstration phase and only surfaces in production environments.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
7/2/2026
First Seen
Valid until: 9/30/2026(expired)
Sources
Multi-Agent Cost-Cutting Guide: 4 Documents to Slash 60-80% of Your Token Spending
bilibili九天Hector课程拆解6/15/2026
Related Claims
UnverifiedMulti-agent systems suffer from coordination failure — when the local optima of sub-agents cannot combine to form a global optimum, the system's overall performance may be worse than that of a single large model.72% similarVerifiedThe behavior of AI agents is non-deterministic—the same input may produce different outputs—which makes traditional observability methods difficult to apply directly.69% similarUnverifiedTraditional AI tools use an open-loop model where each interaction is independent, and the system cannot accumulate improvements from historical experience.69% similarUnverified同一AI工具很难同时做好灵感探索和精确执行,因为随机性与可控性在技术上处于张力关系68% similarVerified大多数 AI 编程智能体无法有效完成复杂任务的主要原因是上下文缺失,而非模型能力不足68% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/45715API
curl https://kongchang.com/api/v1/knowledge/claims/45715MCP
get_claim(id=45715)