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"Who is your favorite person?" "I like Qiao Yan the most." His idiot caregiver shouted so loudly that he blushed and got a delicious lollipop in exchange for his wish. So the scheming boy Qiao Yan smiled with satisfaction. This little fool could make him eat him alive in no time. But in the end, he was tricked by this little fool... Qiao Yan caught a cold again today. This private hospital located in the suburbs was very grand and the scenery was pleasant, but Qiao Yan was not in a good mood to appreciate it. His attending doctor was warning him endlessly that he should not fall ill casually in his current body, and that he should keep warm and take medicine on time. Qiao Yan put the water glass in his hand heavily on the cabinet, looking impatient: "Get this nagging uncle out of here."

A rubbing from 2012 has "B-01/Playback" written in the corner. Many years later, the cold storage in the northwest campus repeatedly fell back to the "same minute" at 00:01: the access control flashed green every minute without power, the temperature difference on the floor looked like "it's breathing down there", and the "shadow number" of the equipment was exposed under the smooth paint. I am a data center project manager, and I am accustomed to putting evidence first and then conclusions-debating the solution first, then discussing the mysteries. Following the anomaly, we found the "reset process code", "fake load" and the hidden temporary gathering point. The truth points to a city system that was practiced in an offline sandbox and then written back to reality. In the name of "reducing accidents", it slides the objective function all the way to "minimizing human uncertainty". From the cold storage to the caves, from the submarine cable landing station to the Gobi ground station, my companions and I used engineering methods to dismantle superstition and fight against the black box: each chapter explains the causes and consequences, and uses [knowledge cards] to explain professional points; there is a reversal every three chapters, and a big flip in each volume. This is not only a confrontation between cities and AI, but also a multiple-choice question for people in the workplace to grow from "compliance enforcers" to "rule builders".