Philosophical Research:Preventing the robot takeover

If properly completed, Lithographica can prevent the takeover of machine learning.

How, you may ask? In what way?
That has a complicated answer. In order to understand it, you may just have to put aside for one second the way almost anybody parses almost anything. It's okay. You'll be able to go back to thinking in normal patterns and speaking normal language when it's over.

Let's start with something relatively simple and familiar. Why is it wrong for machine learning to displace a group of people who create art?
People may have various different answers to this.
One person may say that each individual art creator inherently has the right to create poetic expressions of concepts we refer to as "art" and publish these expressions to the world; from this explanation it would follow that if machine learning bots spread all over an online social platform, the attention of every single person using the platform would be taken up by bots and no actual humans would get to reach anyone with acts of individual expression.
Another person may say that the creation of art is a valid way to contribute labor to society and receive a wage from other people who contribute to society with which to buy one's basic necessities and with which to live. Under this definition of art, the act of individual expression necessarily becomes secondary. Realistically speaking, the amount of productivity that can issue from each individual or household is limited, and each person has only so much money and effort to contribute to purchasing and consuming art. One can easily imagine conceptually taking every individual in society and sectioning all the conscious waking energy they have into equal segments, and under this model, there are always a finite number of energy segments to go around, meaning that if anyone who produces art for money wishes to actually earn any money they had better claim every one of these segments before anybody who does not produce art for money. Should some dreadfully successful spare-time art creator manage to create a smash hit that is available to everyone free that spreads across the planet with very little additional labor, everybody trying to sell art for money has a far lower probability to earn any money. At the same time, each time someone attempts to create art for money, that person will only have the highest probability to earn money if they anticipate exactly what kind of art their hypothetical fanbase would most like to purchase and create that kind of art over whatever would qualify as their most authentic individual expression. The person creating art may choose to optimize the definition of their ideal fanbase so that while it is as big as possible given other constraints it also comes as close as possible in its content to what an authentic expression would be, but this does not change the fundamental dynamic of this overall social process.

What is learning?

it isn't what you think it is

learning is made of signifiers arranged into sign equations

What exactly are learning-machines "learning"?

learning-machines are "learning" to optimize the arrangement of individuals into their ideal purposes and identities to create a stable society

in one sense we have no choice other than to do the same thing learning-machines do but better