这篇论文把日常AI交互解读成神经训练，教你用观察来打断反应回路，实操感强，图像提示例子很直观。
该论文分析了人类与AI助手、编码协作或图像生成等交互中的迭代循环，指出每次请求-反馈-再调整过程会高频触发条件反射，强化不耐烦、完美主义等消极神经通路。作者提出，通过在三层观察（预认知感受、调节间隙、后反应）和两种模式（用户引导与代理辅助）中打断反应链条，可以利用长期抑制替代长时程增强来弱化不良回路。论文以生成式图像提示为例，说明同一挫败会话在观察与否时行为相似但神经效果相反。
Human-AI Agent Interaction as a Neuroplastic Training Environment
Interaction with AI agents has become one of the most frequent activities of everyday digital life. Whether conversing with an assistant, working with a coding copilot, or generating images, the interaction follows a common iterative loop: a request is issued, a result returned, appraised, and the request revised. We observe that this loop is a high-frequency stream of contact events -- moments at which a result meets a person and a conditioned response may fire before deliberate appraisal -- making everyday agent interaction an unrecognised neuroplastic training environment. When a result disappoints, reactive patterns of impatience, perfectionism, frustration, and self-criticism are repeatedly evoked, and under activity-dependent synaptic plasticity each uninterrupted cycle deepens the underlying pathway through long-term potentiation. Ordinary agent use may thus quietly strengthen the very patterns it provokes. We propose that the same training environment can be engaged to the opposite effect. Treating conditioned reactive patterns as physical neurone paths -- activated through a pre-cognitive feeling tone that opens a brief regulatory gap -- we develop a framework in which, at that gap, in place of the reactive re-prompt, a person performs behind-the-scenes observation: watching the neural process operate so the cascade does not complete and long-term depression weakens the path rather than potentiation strengthening it. We characterise this practice through three layers of observation and two modes of application: a user-guided mode requiring no change to existing tools, and an agent-assisted mode in which an ordinary agent is lightly configured to support observation at the gap. We illustrate the framework through generative image prompting, showing how a single frustrating session is behaviourally nearly identical whether or not it is observed, yet neurologically opposite.