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…

Emotion reading. Algorithms. Humans.

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Emotion-reading algorithms cannot predict intentions via facial expressions. Though algorithms are increasingly being deployed in all facets of life, a new study has found that they fail basic tests as truth detectors. (1)

How could they not fail?

We cannot see it now, but algorithms will forever fail.

For even when they succeed, they will lack the main characteristic of human spirit: Knowledge of what they are doing. Even if they understand someone is sad, they will never really know what ‘sad’ is. And what is really sad is that we start forgetting ourselves what emotions are really about. Day by day, instead of the computers being able to think more like us, we tend to think more like them.

One day we will be happy that the algorithms we made have succeeded.

Not because they will have succeeded.

But because we will have failed.

And only then, will the algorithms detect true sadness for the first time…

AI. Quantitative. Quantitative. Tautologies.

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Artificial Intelligence engineers should enlist ideas and expertise from a broad range of social science disciplines, including those embracing qualitative methods, in order to reduce the potential harm of their creations and to better serve society as a whole, a pair of researchers has concluded. (1)

Life is not about measuring. Life is not about counting.

Life is not about thinking. Life is not even about sensing.

Life is not about the quantitative.

Life is not about the qualitative either.

Life is about… living!

It sounds as a tautology and it is. But only tautologies can convey the most essential meaning of existence! Without dependencies. Without pre-requisites. Without conditions. Pure existence can only be defined by itself. Any other attempt to describe it is by default erroneous since it has lost contact with the thing which describes! (again, a tautology!)

Good men. Evil men. Clever men.

Only because someone sees evil men…

Only because someone sees good people…

Only because someone sees stupid people…

Full cosmos.

Only because it is void!

Specks of importance in an indifferent cosmos.

Feeling important for seeing the stars at night.

But everyone can do that…

Life is about… living!

Through the veil of the cosmos.

Beyond the shroud of Being.

In the midst of the day…

Close your eyes.

Can you feel the night burning inside?

AI imagining… Humans living…

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AI passes theory of mind test by imagining itself in another’s shoes. (1)

This is great. For the computer.

But we should test ourself.

Imagine you are a computer. But you can’t imagine how that can be, can you?

See? Forget about what you can do.

Focus on what you cannot.

These are the things that define you…

Open-ending algorithms… The end as the beginning…

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Evolution allows life to explore almost limitless diversity and complexity. Scientists hope to recreate such open-endedness in the laboratory or in computer simulations, but even sophisticated computational techniques like machine learning and artificial intelligence can’t provide the open-ended tinkering associated with evolution. Here, common barriers to open-endedness in computation and biology were compared, to see how the two realms might inform each other, and ultimately enable machine learning to design and create open-ended evolvable systems. (1)

Looking for an end.

By accepting that there is none.

How could there be one?

The end is defined by the beginning.

And this definition is also the end.

One can never pass through the walls he raised.

Achilles will never reach the turtle.

Mathematicians will never prove everything.

Humans will never find the meaning of life.

Unless they stop looking for meaning.

Unless mathematicians stop trying to prove things.

Unless Achilles stops trying to pass the turtle and just runs.

No, there is no end. There are just beginnings…

Be careful with that first step…

No, it is not just a first step.

It is also your last…

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