1st Edition, 1st revision
NOTE: I wrote this text with the little time I had available, in one single burst.
I will certainly revise it and correct its grammar.
I apologize in advance to the reader.
I have been writing out of an almost compulsive impulse to share what I have been perceiving about life as it provides a perception of the future.
I started in 2010, that is, 16 years ago from the publication date of this post.
I made many predictions, and over this time, all of them came true.
I began this at the age of 17, when I started questioning the inflation calculation system used at the time. I was already using programming, and the data I obtained from the mathematical models I implemented did not match the data published by the government. At that time, I was responsible for calculating costs for a company, and I predicted that inflation would be different from what the government had officially announced.
How many indignant phone calls I received from friends, female friends, and girlfriends who invited me to go out, while I explained that I could not because I was working. Their indignation came from the fact that I could not explain what I was doing. Would they understand, or would they burden me with unpleasant social reactions?
Of course, being very young and doing something that older people could not properly understand — such as programming mathematical models and applying them in simulations based on previously collected patterns — was somewhat unusual. That earned me the nickname “pretentious boy” during a meeting of CEOs, when I disagreed with the inflation index they wanted to apply to the price adjustments of their companies’ products. Time proved that I was right.
For some years, my system was able to predict real inflation more accurately than the one claimed by the government, because one thing is what the government wants you to believe, and another is what actually happens in reality. I do believe there were people much more gifted than I was, but rather people subjected to the political interests of the time.
That dissonance between economic information and reality could still be experienced in an era when computing was something almost surreal.
Today anyone can understand the love for computing.
It embodies thought, made concrete in models that materialize through their verifiable results.
I told the reader a little bit of history from 50 years ago so that one can understand that imagining the future is an exercise of the mind that is informed by present data and builds a probable prediction. It is not a crystal ball, nor fortune-telling. It is more like statistics, and the fun part of all this is that some unexpected event may alter the predictions. I truly hope that happens, because what I see does not make me happy.
If, unfortunately, I was right in my forecasts over these 16 years, I sincerely hope I am wrong about the next 20 years.
Today is a Thursday, around 7:30 p.m., when I began mentally putting together a mountain of information that I have been gathering from newspapers around the world.
Elon Musk decides to take his private company SpaceX public.
I used colloquial terminology, but if you like precision, you can find more information here.
My text aims at general simplification, because the important thing is to convey ideas, not to climb in status through terminology.
What does this mean?
The richest man in the world realizes that his visions require support from third parties, despite his enormous fortune. It makes sense!
The world is studying the development of data centers in space. Why?
Data centers are voracious consumers of two precious resources: water and energy.
Well, water is used to cool frenzied processors, and energy is used to power them.
OK! You are a layperson!
Rarely does someone buy — or rather, rent — a machine exclusively for personal use, except for market giants such as Google, Microsoft, AWS/Amazon, and so on.
In reality, you buy a “small piece,” which they call a slice, of this type of machine.
That is, a portion of its processing capacity and memory.
They are fantastically powerful, but in return, they heat up a lot and consume energy in the same proportion. There is no miracle: “if it does a lot, it demands a lot.”
The planet is beginning its path through the agony of water and energy demand.
The United States suffers from this in some states, such as California.
The city of Bangalore, considered the Indian Silicon Valley, is under strong pressure.
It specialized in outsourcing, which is the provision of specialized services based on computational systems, and faced with the water and energy demands of its data centers, it stands at a crossroads between the reality that its geographical conditions can support and the demand it needs to meet.
Well... Space is cold, and solar energy is “free” and abundant, without the filter of our planet’s clouds reducing its effect.
What do you need to transfer everything into space?
Spacecraft that can build and maintain those data centers out there, in space.
Let us consider another aspect.
Artificial intelligence has begun to accelerate all socioeconomic processes.
We are going to live in one year what would previously have taken us several years, and this acceleration will increase over time. Why?
Because it is like a staircase where one step supports the next, but at an exponential speed determined by the interactivity of factors, something difficult to calculate.
After all, in the last two years, IT has transformed itself in such a way that yesterday becomes a museum.
Reader, if your mind can still handle it, let us take a look at global social reactions.
The extremist right seems to be popping up around the world.
The country that represented the greatest symbol of democracy — the United States — now fluctuates in global perception when its new role in the world is judged.
Let us start connecting some points.
If, on one hand, the global computational model transfigures the economy, the technology resulting from this power materializes new possibilities at the same speed.
One of these processes is mass automation, which previously depended on human hands to implement it, and today, in seconds, by the hands of AI, performs the same tasks with greater efficiency.
Companies begin to cast aside the workforce that is being replaced by process optimization. And this does not happen gradually, but forcefully. Thousands become unemployed as companies, through downsizing, find the path to profit.
So! Think with me, reader!
If the need for labor decreases, social pressure remains.
Under social pressure, crime prospers.
Now we need to think about what crime is.
How many times has the crime of the past become the law of the present?
Do you need historical facts to be sure of that?
Use AI! 😊
Crime is characterized as an activity contrary to the interests of the current economic system.
If the current economic system cannot keep up with social demand, other models, however cruel they may be, begin to supply that need.
A greater number of people without applicability within the system means a greater number of candidates for “parallel” systems, that is, criminal ones.
The PCC is now “multinational.”
A few years ago, I had subtly “raised that ball.”
You can check it in my posts.
And why subtly?
Something bad comes from what we cannot assimilate in the present.
Subtlety “lubricates” the reality that is still going to happen, but has not yet been perceived.
As the system fails, it opens space for alternatives.
Why is the world moving toward something that does not represent the idyllic democratic dream of the past?
The greater the social reaction, the greater the reaction of the system and, therefore, the coercion of divergent ideas.
As clear as water.
Putting all this together, we can imagine a world like this:
- Democracy yielding to the political-economic oligarchy.
- The crime-state being born as a nation without a homeland, like the Jews before Israel was born.
- Technology casting aside part of humanity considered dispensable, like Rome, which kept the plebeians with bread and circuses.
- The growth of psychic dysfunction due to the abrupt change of values, burying assistance systems.
Sincerely, this time I hope I am COMPLETELY WRONG, but that is only hope.
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