📄 中文摘要
现代 AI 系统不仅仅是生成输出，它们在反馈环境中运作，人类的反应、系统的调整和操作激励不断重塑系统行为。每次与 AI 系统的互动都会产生信号：提示被调整，输出被接受或拒绝，工作流程围绕系统性能进行适应，组织逐渐在技术周围建立习惯。尽管这些单独的行为看似微不足道，但它们共同形成的行为模式重塑了系统的使用和信任。随着时间的推移，这些反馈循环可能会强化决策替代，推动 AI 输出在速度和效率上的优势。
反馈循环：塑造 AI 系统行为的无声力量
出处: Feedback Loops: The Quiet Force Shaping AI System Behavior
发布: 2026年3月16日
📄 English Summary
Feedback Loops: The Quiet Force Shaping AI System Behavior
Modern AI systems operate within feedback environments that continuously reshape their behavior through human responses, system adjustments, and operational incentives. Each interaction with an AI generates signals: prompts are modified, outputs are accepted or rejected, workflows adapt based on system performance, and organizations gradually develop habits around the technology. While these individual actions may seem trivial, collectively they create a behavioral pattern that influences how the system is utilized and trusted. Over time, these feedback loops can reinforce Decision Substitution, enhancing the speed and efficiency of AI outputs.