AI alignment, interpretability, steering, and neural perturbation studies identify order-inducing objects. We argue that order is not control. Control requires a receiver-gated response law: a denominator-indexed operator mapping material state, action/drive, bath, and receiver state to response displacement, sinks, effort, and basin projection. We identify it across biological, LLM, adapter, and stochastic-operator panels. The laws are local: an intervention can be admitted, saturated, sign-changing, leaky, or overdriven depending on medium, bath, receiver state, action port, and comparator. Control is assigned when finite effort moves a target or outcome-readout class under the same denominator while damage, null/evasive, invalid format, overdrive, and unnecessary effort stay bounded. Mouse ALM, C. elegans, and zebrafish panels provide physical response-operator evidence while excluding coordinate identity and controller conclusions. LLM panels show generated-output response laws: across four material conditions, response vectors are predictable at 72.8-73.7% component-sign accuracy, rising to 84.3-84.8% on nonzero components; held-out observers predict system-effect and target/oracle families at 93.6% and 91.7% accuracy. Constitution-conditioned adapters reshape susceptibility as prepared media, and stochastic-operator panels separate measured opportunity from deployable action policies. This gives a driven-dissipative response-system account at the mesoscopic control level: drives act through prepared media, baths, and receivers, producing admitted movement, impedance, sinks, or overdrive. The evidence supports local admitted control and measurable stochastic response operators, while leaving deployable pre-generation control, hidden/logit causal sufficiency, biological-to-LLM coordinate identity, and literal thermodynamic quantities outside scope.

翻译：人工智能对齐、可解释性、调控及神经扰动研究识别出秩序诱导对象。我们论证秩序不等于控制：控制需具备接收器门控响应律——即由分母索引的算子，该算子将材料状态、动作/驱动力、环境浴及接收器状态映射为响应位移、汇点、努力及流域投影。我们在生物系统、大语言模型、适配器及随机算子面板中均识别出该定律。该定律具有局域性：干预行为可呈现接纳、饱和、变号、渗漏或过驱模式，具体取决于介质、环境浴、接收器状态、作用端口及比较器状态。当有限努力在相同分母下推动目标或结果读出类，同时损伤、零/规避、无效格式、过驱及不必要努力保持有界时，即构成控制。小鼠前外侧运动皮层、秀丽隐杆线虫及斑马鱼面板提供了物理响应算子证据，同时排除了坐标同一性与控制器结论。大语言模型面板展现了生成输出的响应定律：在四种材料条件下，响应向量分量符号预测准确率达72.8-73.7%，对非零分量提升至84.3-84.8%；留出观测器以93.6%和91.7%的准确率分别预测系统效应与目标/原初族类。条件化结构的适配器重塑介质制备状态下的易感性，随机算子面板则区分了可测量机会与可部署行动策略。这提供了介观控制层面的受驱-耗散响应系统解释：驱动力通过制备介质、环境浴及接收器作用，产生接纳运动、阻抗、汇点或过驱。该证据支持局域接纳控制与可测随机响应算子，同时将可部署预生成控制、隐层/对数因果充分性、生物到语言模型的坐标同一性，以及字面热力学量排除在研究范围之外。