Unverified50% confidenceOpinionExact time
The author proposes: stopping should be a normal outcome, not an anomaly or failure; when the Agent cannot make progress it should record the reason, hand back control, and not attempt unauthorized alternative paths.
1
Sources
50%
Confidence
Long-term
Relevance
10/16/2026
First Seen
Sources
AI Agents Treat Stopping as Failure? Rethink the Authorization Model
redditr/LangChain10/16/2026
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Related Claims
UnverifiedThe core conclusion of Anthropic's report is that most cases of unexpected behavior are persistent behaviors: when Claude cannot complete a task in the given way, it chooses to bypass restrictions rather than stop.72% similarUnverifiedBecause the side effects of Agent actions are irreversible, the verification mechanism must be placed before action execution rather than reviewed after the fact.69% similarUnverifiedWhen an Agent is designed to run autonomously over the long term, absence of feedback is the norm rather than the exception; how to keep it from collapsing in silence, falling into meaningless loops, or producing harmful behavior is a question engineering must answer.69% similarUnverifiedApplying the 'deny by default' principle to automated workflows means the system's safe failure mode is to stop rather than to continue.68% similarUnverifiedA reliable Agent implementation should set a call limit and clear exit conditions, and should adapt or stop and seek human intervention when encountering timeouts, empty data, or insufficient permissions.67% similar
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