How to Make the Future Work

What is the role of a human, in a world full of AI?

Mane Tatulyan
May 8 · 3 min read
The Thinker (Plaster Version), The Table Museum

Coronavirus 2019 edition — still available in store. The global immune system was devitalized by a virus that was spreading everywhere. It was only a matter of time before urban landscapes all over the world began to blend in, reduced to pure architectural geometry; empty cities. The reason the effect of the Coronavirus was so radical is because, for a moment, it reminded us of the real world; perhaps it was not the world that we had left, but it was the sudden materialization of the world we are heading towards. Total virtualization, total digitization, and last but not least, total control. Like a memory of the future, there it was, right in front of our eyes: the first image of a world without humans.

Where there is a machine, there is the absence of a human being. Our biggest dilemma is what will the fate of 21st century workspaces become? what will the role of humans be when we have highly intelligent and efficient algorithms which are capable of doing almost everything much better than us? That same technique that accelerated particles, circuits, information, and time (in short, life) turned the world into a technical ecosystem that under its condensed, technological atmosphere redefines the human species.

The Industrial Revolution created the working class. The Technological Revolution will create the residual class. At all levels, there is a production of man as residue. As algorithms and machines replace humans in the job market, the owners of those machines and algorithms continue to concentrate the generated wealth. The original discourse of the technological revolution promised that “the machine will only replace the mechanical jobs of humans”, but it is evident that it has also reached the creative and artistic jobs. Today, creatives are also becoming an endangered species. We have everything from free logotype-generators, to design templates, automated music production softwares, copywriting AI, and the list goes on.

It is not news that artificial intelligence has already transformed human reason into waste. Having liberated thinking from man, in other words, having dehumanized thinking, allowed its total formalization. In the same way that the body is equivalent to an agglomeration of information, the human brain is seen as an analog of a computer; direct consequence of a materialistic and utilitarian vision of the human being. Everything is seen from the perspective of receiving and processing information, everything is seen from its possible economic benefit. Thought is no longer exclusive to Man, it has become nothing but a set of operations that can be reproduced outside of human thought by any machine, or robot, as a result of the instrumentalization of mental functions and the human race (a sort of generalized Turing test effect).

But human thought can never be exchanged for an artifice, it cannot be understood as a mere succession of operations.Neither the complexity of the most advanced machine and the desire to humanize said machine will ever be able to duplicate the singularity of human reason. While the cause that gives the machine its purpose is always external, our purpose, like that of all living things, is determined by an internal cause. While artificial intelligence reproduces logical strings based on algorithms that its inventors programmed into its operating system, human thought is singular and produces singular events.

MLearning.ai

Data Scientists must think like an artist when finding a solution

Mane Tatulyan

Written by

Designer, writer. Humanism in the Digital Age. Website: https://manetatoulian.com

MLearning.ai

Data Scientists must think like an artist when finding a solution, when creating a piece of code.Artists enjoy working on interesting problems, even if there is no obvious answer.

Mane Tatulyan

Written by

Designer, writer. Humanism in the Digital Age. Website: https://manetatoulian.com

MLearning.ai

Data Scientists must think like an artist when finding a solution, when creating a piece of code.Artists enjoy working on interesting problems, even if there is no obvious answer.

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