Unverified50% confidenceOpinionExact time
For agents that make continuous autonomous decisions in multi-step tasks, erroneous behaviors have more opportunities to accumulate and amplify than in single-pass text generation, and the window for error correction is narrower.
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9/27/2026
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Related Claims
UnverifiedAgents face the problem of error cascading: judgment errors in early steps are amplified exponentially with the number of iterations.78% similarUnverifiedReasoning quality degrades as information accumulates in the context window, causing skill package execution to become brittle in long-horizon tasks.76% similarUnverified单一智能体面临上下文窗口限制和注意力稀释两大瓶颈，任务复杂度超过单次推理能力时输出质量会显著下降76% similarUnverifiedWhen a single large model independently completes long-chain tasks requiring more than dozens of reasoning steps, errors accumulate exponentially with chain length, whereas decomposing the task among multiple specialized agents can significantly reduce the error rate.74% similar
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