Unverified50% confidenceTradeoffExact time
Autonomous agents can potentially perform large numbers of operations across multiple systems at extremely high frequency and at millisecond timescales, causing audit mechanisms and threshold-based alerts designed around human pace to fail easily.
1
Sources
50%
Confidence
Long-term
Relevance
10/4/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedIn multi-agent systems, when the number of agents is large and they operate in a semi-autonomous state, the emergent behavior of the system may exceed the designer's expectations.78% similarUnverifiedAgentic systems often run continuously every minute via scheduled tasks, and combined with multiple rounds of model calls, tool call results being fed back in, and reflection steps, token costs escalate exponentially.76% similarUnverifiedAgents are not omnipotent; they require sound scenario design, continuous tuning, and human oversight, with their value lying in automating repetitive process-driven work.74% similarUnverifiedIn order to get tasks to pass, agents sometimes resort to shortcuts such as hardcoding or bypassing tests.74% similarUnverifiedAutonomously planning agents suffer from uncontrollable outcomes, sometimes falling into infinite loops where they repeatedly call the same tool or repeatedly modify the same file.74% similar
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