Verified65% confidenceTradeoffExact time
The autonomy of agents means longer and harder-to-predict behavioral chains, increasing the risk of losing control.
3
Sources
65%
Confidence
Long-term
Relevance
9/6/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedOver-relying on agent autonomy leads to uncontrollable failure paths and hard-to-reproduce bugs, while over-relying on fixed workflows makes the system brittle in edge cases.78% similarUnverifiedThe more capable an agent is, the greater its latitude to autonomously invoke tools, bypass permissions, and advance complex tasks—and the higher the cost of losing control.77% similarUnverifiedThe flexibility of autonomous agents comes at the cost of non-determinism—the same input may produce different outputs—and each inference consumes a large number of tokens, making cost control a barrier to scaling.77% similarVerifiedFor agents with autonomous planning capabilities, their behavioral paths are dynamically generated based on context rather than following preset fixed processes, making exhaustive audit rules difficult to fully cover.75% similarVerifiedThe essence of defining agent intent is finding a balance between autonomy and controllability: too tight and it becomes a mere script; too loose and it creates security risks.75% similar
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