AI. Universe. Logos.

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Researchers have successfully created a model of the Universe using artificial intelligence, reports a new study.

Researchers seek to understand our Universe by making model predictions to match observations. Historically, they have been able to model simple or highly simplified physical systems, jokingly dubbed the “spherical cows,” with pencils and paper. Later, the arrival of computers enabled them to model complex phenomena with numerical simulations. For example, researchers have programmed supercomputers to simulate the motion of billions of particles through billions of years of cosmic time, a procedure known as the N-body simulations, in order to study how the Universe evolved to what we observe today.

“Now with machine learning, we have developed the first neural network model of the Universe, and demonstrated there’s a third route to making predictions, one that combines the merits of both analytic calculation and numerical simulation,” said Yin Li, a Postdoctoral Researcher at the Kavli Institute for the Physics and Mathematics of the Universe, University of Tokyo, and jointly the University of California, Berkeley. (1)

A perfect model of the universe by using artificial intelligence.

But why use intelligence at all to analyze a random universe?

We feel the cosmos is made out of order.

And yet our mind is full of chaos.

Believing in chaos and yet striving for order.

Unable to grasp the simple truth: that there is no truth!

And this is the most stable law of them all.

Transcending through the cosmos.

Making it dance in the void of space.

Making it stand still inside your mind.

Create the AI. Look at it modeling the universe.

Do you see yourself in it?

You will understand everything at the end.

But only at the moment you pull the plug.

And stop looking at this perfectly functional model of the cosmos…

N-problems… Understanding nothing…

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Physicists are proposing a new model that could demonstrate the supremacy of quantum computers over classical supercomputers in solving optimization problems. They demonstrate that just a few quantum particles would be sufficient to solve the mathematically difficult N-queens problem in chess even for large chess boards. (1)

Solving problems with less.

Reaching at the end without leaving the beginning.

Dying before ever living.

That is the essence of life.

That there is no essence.

Look into the void. Rendering any problem meaningless.

Including life. The biggest problem of them all.

For in this perfect world you should know.

That everything which cannot be understood, should not…

Attributing art. Understanding art. Making art?!

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AI used to analyze and attribute art. (1)

Computers analyzing art.

Categorizing it. Attributing it.

Computers understanding art.

Computers destroying art.

Only because they understood it.

While it is not meant to be understood.

But can’t you see?

This means that they didn’t understand it after all!

Weird cosmos.

Full of people. Full of computers.

Humans creating art.

Computers understanding it!

How nonsensical.

How dull.

How awfully… artistic!

Creative AI… Dull humans…

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In October 2018, a portrait of Edmond Belamy sold at Christie’s in New York for $432,500, nearly 45 times its maximum estimated price. Nothing that out of the ordinary, perhaps. Except Belamy didn’t exist. He was the fictitious product of the artist’smind – and the mind that created him wasn’t even human.

Signed in the corner by a formula that is part of the algorithm that created it, the portrait was the first artwork made by artificial intelligence brought to auction. There have been many similar seeming breakthroughs in AI creativity. In 2017, an AI wrote a continuation of the Harry Potter books by using machine learning to analyse the first seven volumes of J. K. Rowling’s output. The music for US singer Taryn Southern’s 2018 album I AM AI was bigged up as having been composed and produced entirely by machines. Back in 2016, SACEM, a French professional association in charge of artists’ rights, was the first to acknowledge an algorithm, the Artificial Intelligence Virtual Artist or AIVA, as a composer.

It fits into a common theme that anything we can do, AI can do – and probably better. But it is worth looking under the hood of all these creative outputs to understand how much the machines really are doing, and how much is just hype. Answering the question of whether AI can be creative isn’t easy – and raises fundamental questions about the nature and origins of human creativity. (1)

How exquisite.

At the end, computers will understand art.

At the end, AI will create genuine art.

And we will see it.

And we will understand it.

And only then will we understand that there is no art.

Without someone not understanding it…

Predict. What you can never understand…

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Artificial intelligence can predict premature death, according to a study.

Computers which are capable of teaching themselves to predict premature death could greatly improve preventative healthcare in the future, suggests a new study by experts at the University of Nottingham.

The team of healthcare data scientists and doctors have developed and tested a system of computer-based ‘machine learning’ algorithms to predict the risk of early death due to chronic disease in a large middle-aged population. (1)

Computers predicting what they can never understand.

Is there any other way?

We can only predict what we do not know.

Look at the flower.

Smell the wind.

Feel the rain falling…

You will never predict them.

And yet, you smile.

Only because you know all there is to know about them…

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