Unverified50% confidenceOpinionExact time
The mechanism of setting token limits inside an agent runtime is essentially self-regulating for the agent, and this logic breaks down as scale increases.
1
Sources
50%
Confidence
Long-term
Relevance
9/11/2026
First Seen
Sources
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Related Claims
UnverifiedAn Agent's ability to self-verify determines the upper limit of the number of Agents a developer can manage in parallel; if Agents lack self-checking capabilities, human intervention becomes a bottleneck for parallel scaling.79% similarVerifiedAgent的核心公式为：Agent = 大模型 + 工具调用 + 自主决策能力76% similarUnverifiedAgent的失败模式是非确定性的，输入空间和输出空间都是无限的，且Agent可以通过工具调用影响其他系统75% similarUnverifiedSetting parameters such as token limits or max_iterations inside an AI agent runtime can define boundaries for a single execution, preventing the agent from falling into infinite loops or uncontrollably consuming resources.74% similarUnverified攻击者通过提示词注入控制Agent的决策逻辑后，可利用Agent已获授权的所有工具和接口实现全链路攻击，形成混淆代理人（Confused Deputy）问题72% similar
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