She was sitting right opposite to him in another room and the walls were transparent.
He pretended to work, clicking random icons on his screen, unlocking his smartphone from time to time, every few seconds, in a bid to look busy in case she was looking at him. He wondered what was up with him, he was usually very composed, and would never let situations or people affect him, irrespective of the type of vibes it gave him. It was just her. Maybe, it was a phase. Maybe, it was childlike even. Or maybe it was just his brain, the electro-chemical impulses of his brain, to be exact, which went haywire, whenever she was around, present in the vicinity, like a hive which needed a bee.
He tried to focus, and ignored the flashes that were rollicking around in his head, consisting of weird looking shapes and objects, which made no sense whatsoever. The subject at hand was an interesting one. He was trying to figure out the next evolutionary stage of the smartphone, having tracked its beginnings from ugly looking boxes in the nineteen nineties, to the sleek, mean machines that they were today, powered by facial and biometric recognition software and enhanced processing power, culminating in incredibly powerful cameras and the ability to manage several applications simultaneously.
Advances in material science had rendered phones to become ultra-thin, yet more durable than ever. Who knew how the device would evolve next? Hardware needed to be equipped with the right software, and the more innovative the applications that used the hardware, the better the evolution of the smartphone, a piece of hardware that had become so necessary for the fundamental requirements of all human beings namely communication and transportation. Many mobile individuals, whose work required them to be constantly on their toes most of the time, were dependent on their devices for food as well.
The algorithms governing the applications in one’s smartphone were beginning to be equipped with learning capabilities, with the result that these applications will understand their users and become like them, almost like a friend, prompting the user to act on its notifications because the algorithm thinks its user will like it. With time, the user will begin to trust the recommendations of the algorithm, if not already from the on-set. However, he felt, with the rise in the number of applications which were being made to cater to the needs and requirements of users, there were now so many of them, so many solving the same set of problems, that users, at least the ones already familiar with the digital eco-system, were beginning to get fatigued, precisely, because there was now too much clutter.
The point being that, problems cannot and will not end. Problems only become better.
In the sense that, a problem that has been solved, will now lead to more problems. For example, in order to solve the problem of getting from point A to point B in lesser time and with more comfort, a means of transport powered by the relevant source of energy is slated to be the solution. But now, better problems have been created, because the means of transport needs maintenance from wear and tear, the user is likely to get irritated if waiting in traffic becomes a norm, or the machine may breakdown, and other associated problems.
The only way to get rid of all the clutter in the world, no matter who the user was, was to simplify, lessen, and restrict the choices and options, by personalizing the required applications for a user. For example, a user shouldn’t be provided with all the available options of ordering food from a restaurant aggregator depending on his or her location, but rather, only the options which would be good for him or her. How do we figure what’s good for him or her? The answer was, to generate an algorithm to read the mental and physical state of the user.
It was a great time to live and love.