Unverified50% confidenceOpinionExact time
AI agents introduce randomness (language model outputs with temperature > 0) and opaque intermediate steps, which are in tension with the precise and reproducible paradigm of scientific research.
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50%
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Long-term
Relevance
10/8/2026
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UnverifiedAI Agent的依赖栈中存在多个概率性节点，如大语言模型的随机采样（temperature > 0）、向量数据库的相似度检索，使其行为空间比传统软件更复杂78% similarVerifiedThe behavior of AI Agents is non-deterministic; the sampling mechanisms of large language models (parameters such as Temperature and Top-p) mean that each inference may take a different generation path.78% similarUnverifiedAI Agent的行为具有随机性和涌现性，而传统软件的行为是确定性的75% similarUnverified现代生产环境中的AI Agent通常将temperature设置在0.3-0.8之间以平衡创造性与一致性74% similarUnverified将 temperature 设为0、缓存锚定 AI 决策、引入验证重试机制是缓解 AI 测试不确定性的常见策略73% similar
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