www.build-a-world.org

This page is read only. You can view the source, but not change it. Ask your administrator if you think this is wrong.
====== A Lineman's Morning ======
Mark woke that morning to his alarm at 4 am, the same as every work day that summer. He had worked that schedule for so long that he barely needed the alarm. As a lineman, he started his workday at dawn and ended it well before the heat of the day mixed with the humidity to make his work on the Connecticut high voltage lines miserable.
He looked at his schedule as he ate breakfast. His daughter had a recital at six. In the old days, before the Eigenweasels used their quantum supercomputing to predict failure points years in advance and optimize his work schedule, he would probably have missed it. He’d missed a lot of events for his children because of all the overtime. The money was great, but he didn’t miss it. Not when he knew he wouldn’t be missing any more events from preventable electrical catastrophes.

Heading out the door, he glanced at the work schedule. He was headed to [city name] to replace a transformer that was predicted to fail in three months. He smiled. Replacing the transformer before it burst into flames meant the old transformer could be refurbished at a fraction of the cost and put back into the system. It meant his power bill could be that much less. 

Mark’s story is the story of all of us. He gets up in the morning with the hope that he can have a smooth day at work and spend some quality time with his family that evening. But today, Mark’s job is stressful and demanding. Not only are there not enough linemen, but they are wasting time putting out metaphoric (and literal) ‘fires’ instead of avoiding issues with preventative maintenance, but they are missing their family because crises demand long hours at expensive overtime rates.

But Mark is not the only one to benefit from our Eigenweasels, nicknamed for their ability to send probing mathematical functions (weasels) down holes (function minimization) to find the best gopher hole to survive the winter. We could also call it, “The Strange Predictor.” The ability to predict the future allows RequisiteQ and its investors to shape the future. RequisiteQ's technology is to the future as Dr. Strange's time stone is to the Marvel Cinematic Universe. But instead of checking '12 million' futures one time, we can simulate our one future, see what we don't want, change something, and simulate it again the next time step, iterating rapidly to a future we desire.

Whether it’s predicting the path of tornadoes to give residents tens of minutes of notice, preventing mid-air collisions between passenger jets, correlating genetics and physical realities to disease, optimizing treatments, finding lost children, preventing cyber attacks from succeeding, locating dangerous asteroids, identifying medical emergencies on the roads, live-simulating long-term climate effects, or showing corporations how to make profits in ethical, civilization enhancing ways, the Eigenweasels of RequisiteQ will make the lives of the citizens of Connecticut and the world better, safer, more comfortable, and freer. 


To whom it may concern,

I would like to express my support for RequisiteQ and their ‘Eigenweasel’ quantum supercomputing technology. Their unique approach is intriguing and their results promise a world where computers can simulate and predict our future, allowing us to optimize the course of life on this planet with proven data instead of fallible emotions. 

I believe this technology will be useful in a broad spectrum of technologies as it can increase speed of computation and optimization by a million times or more. In the medical field, the Eigenweasels will be useful for protein folding, disease correlation with genetic and other biomarkers, identification of medical emergencies, and more. Industry will benefit from infrastructure failure prevention, flight coordination, logistics simulation and planning, cyber security enhancement, and more. The environment can finally be live-simulated, meaning not only long-term climate effects can be predicted, but short-term weather patterns can be predicted. As citizens gain confidence in short-term predictions, long-term predictions will have actual meaning and proper climate protection actions can be simulated and the best options implemented. 

In summary, I would be grateful if the [agency] expedites the development and implementation of this technology. 

Regards,
Important Person