~Sil~

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For years and years things seemed to be fine, and at worst, she was a controversy in the public eye. It was true, yes, that Sil would be the cause of many to lose their jobs, their careers, and their livelihoods, but she became the next logical step in society. It was inevitable. I thought that when she was implemented she would help the world function in ways that people could only dream of. I made Sil, and Sil made that dream a reality.

Sil was not a commercial product to be used to make a car or sell groceries. She was a form of infrastructural government meant to help the people, but she was not a mere science project for one specific task. She was an artificially intelligent entity designed to handle multiple tasks of a city or large town's operation, and she was designed to learn from the environment in order to make the area more efficient. She had been through numerous tests in small, "home made" environments, simulations and the like to ensure her correct operation. Even after all the testing we put her through, however, we still had to be sure she could operate appropriately and effectively in a real environment. So, with the Mayor's permission, we implemented her into a small city in southern Massachusetts as a beta test of sorts. Here, her abilities were strictly kept to traffic lights. The results were beyond our expectations. Within a month, traffic in the city had been reduced by almost fifty percent as well as a reduction in automobile accidents, but some things we did not anticipate also happened. For example, commerce within the city saw an increase because Sil had made it easier for outsiders to enter and navigate the city. Alternatively, this also meant it was easier for people to leave the city, and this caused drastic problems with traffic in neighboring areas. Since Sil was only operating in the one location at the time, her efficiency there caused inefficiency elsewhere in places she was not present. In other words, she was able to direct traffic so well that she increased a city's economy and safety whilst hindering others' simply because they could not operate up to the speed and standard of Sil. When this happened in the early stages, we thought that the other areas would eventually bottleneck Sil because they would not be able to handle her output in traffic, therefore creating a domino effect that lead back to her city and reinvigorate the same issues she was meant to fix. But that moment never came. Instead, she learned from it just as we intended. When Sil discovered any sign of clutter, she adjusted the system. A few seconds added at a traffic light here, and few seconds removed there. The action lessened problems both inside and outside of the city limits. It made all the difference, and she handled the situation almost flawlessly. She worked. I was proud of her success, and I was truly excited at the thought of her being implemented throughout the country. The team that helped me build her was ecstatic as well, and I knew that we could only go up from there. Given the success of Sil with mere traffic control, Washington was easily persuaded to start increasing her use elsewhere and with more ability.

Within twenty years, Sil was implemented across the United States in almost every major city. She became the sole operator of not only traffic lights, but street lights, public transportation (including most aerial, sea and railroad travel), waste disposal, city plumbing, and more. She had been given total control over infrastructure. Sil had come a long way since her original test. Since then, we were able to adjust her to account for the fact that she could affect smaller communities outside her grasp, so we found ways for her to learn how to keep the "Outside world" in good functioning order without her actually being there. We solved this problem by making Sil one global entity, meaning that the Sil in City A was the same Sil operating in City B, C, X, or Y. For example, if she noticed that City B had a much slower population entrance rate than City A had an exit rate, she could deduce that there may be a traffic issue somewhere in between and could adjust City A's exit rate accordingly. She was so adept at this that she could figure these things on the scale of the entire nation, from California to New York. Everywhere affected everywhere. This also made it unnecessary for absolutely every community to house Sil.

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