God. Angels. Particles. Lost.

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A 2017 report of the discovery of a particular kind of Majorana fermion – the chiral Majorana fermion, referred to as the “angel particle” – is likely a false alarm, according to another research. Majorana fermions are enigmatic particles that act as their own antiparticle and were first hypothesized to exist in 1937. They are of immense interest to physicists because their unique properties could allow them to be used in the construction of a topological quantum computer. (1)

Seeking the God particle. Searching for the angel particle.

Trying to decode existence based on existence.

Trying to find particles in a cosmos full of particles.

Choosing the easy path.

Looking for answers in a place where we have already asked the questions…

Under pressure… Questions… Answers…

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When asked to answer questions quickly and impulsively, people tend to respond with a socially desirable answer rather than an honest one, a set of experiments shows. (1)

Let go. There is no pressure at all. The hardest questions will be answered in time. By themselves. Patience is the key. Logos lies in silence. Keep still. Watch yourself Be. And you will see, that all your attempts to answer were in the wrong direction. There are no answers. For the questions are wrong. Let go. Accept the cosmos. And you will see that there is no question to answer. For it it only your urge to answer things that creates the questions…

Stop trying to ask questions…

Let the cosmos ask instead.

And discover you as the answer!

Seeing what cannot be seen…

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Identifying geological features in a densely vegetated, steep, and rough terrain can be almost impossible. Imagery like LiDAR can help researchers see through the tree cover, but subtle landforms can often be missed by the human eye.

A team of scientists has tapped into the power of machine learning to identify hidden geologic features. Specifically, the scientists identified previously unidentified cave entrances that were difficult to see in imagery, and hard to access on the ground. (1)

What you cannot see is still there.

Not because someone sees it. But just because it is.

And yet, we need to see it to be able to know it.

Is that an insignificant detail we should discard?

Or an important artifact that could change the world?

Is it something denoting the importance of senses?

Or something perhaps emphasizing their insignificance?

“But the cave is there!” one might say. And it could be true. But can you convince me about that? And if not, what does that mean for the cave itself? Is it still “there”? Was it there in the first place? If the cave is there only when we see it, then this is a truly scary possibility. It would mean that we rule the cosmos and that our perception shapes the shape of existence. But if the cave is there anyway, no matter what, that would mean something even scarier. That our consciousness and existence matters not. That the cave is there and that we are already inside that cave. That we never left that cave. That we are still entangled in its darkness. And exactly because of that, we are conscious!

Are we children of light?

Or are we the daughters of darkness?

Look at the Sun.

Don’t you long the Moon?

Stare at the Moon.

Do you feel the Sun burning?

Could we be asking the wrong questions from the beginning?

Search inside you.

The inability to answer questions could only mean one thing.

Neither the Sun.

Nor the Moon.

We are not the bearers of questions.

We are the answers!

Questions… Hiding the Answers…

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We keep on asking our selves how we can live forever.

We keep trying to find answers on deep philosophical questions for the meaning of life.

We insist on trying to find out what ‘reality’ is.

Only because we are afraid.

To admit that there are no answers to our questions.

We always knew that.

You see, the questions we pose are not here to reveal the answers.

But to conceal them.

For we knew the answers from the moment we thought the questions.

Questions that never existed anyway.

We thought of those questions.

In a void world full of nothing but existence.

How could there be answers to things we ourselves thought of?

Look at the calm lake.

The only reason you are asking so many questions about the waves on its surface.

Is because you want to hide.

The fact that your are the one disturbing its peace…

Oh, humans.


Destroyers of the world…

If only you kept silent.

You would hear all the answers…

Inside the void that bred them.

Back to analog… Looking at the forest again…

Analog computers were used to predict tides from the early to mid-20th century, guide weapons on battleships and launch NASA’s first rockets into space. They first used gears and vacuum tubes, and later, transistors, that could be configured to solve problems with a range of variables. They perform mathematical functions directly. For instance, to add 5 and 9, analog computers add voltages that correspond to those numbers, and then instantly obtain the correct answer. However, analog computers were cumbersome and prone to “noise” – disturbances in the signals – and were difficult to re-configure to solve different problems, so they fell out of favor.

Digital computers emerged after transistors and integrated circuits were reliably mass produced, and for many tasks they are accurate and sufficiently flexible. Computer algorithms for those computers are based on the use of 0s and 1s.

Yet, 1s and 0s, pose limitations into solving some NP-hard problems. (e.g. the “Traveling Salesman” problem) The difficulty with such optimization problems, researcher Toroczkai noted, is that “while you can always come up with some answer, you cannot determine if it’s optimal. Determining that there isn’t a better solution is just as hard as the problem itself”.

[Note: NP-hardness is a theory of computational complexity, with problems that are famous for their difficulty. When the number of variables is large, problems associated with scheduling, protein folding, bioinformatics, medical imaging and many other areas are nearly unsolvable with known methods.]

That’s why researchers such as Zoltán Toroczkai, professor in the Department of Physics and concurrent professor in the Department of Computer Science and Engineering at the University of Notre Dame, are interested in reviving analog computing. After testing their new method on a variety of NP-hard problems, the researchers concluded their solver has the potential to lead to better, and possibly faster, solutions than can be computed digitally. (1)

Breaking a problem into pieces can do so many things.

But at the end you will have to look at the problem itself.

And the problem does not have any components.

But only a solution.

Visible only to those who do not see the problem.

You cannot ride the waves.

All you can do is fall into the sea and swim.

You cannot live life.

All you can do is let go and prepare to die.

Look at the big picture.

You can solve anything.

As long as you accept that you cannot…

At the end, the voltage will reach zero.

At the end, the computer will shut down.

You might see this as a sign of failure.

But it would be the first time it really solved anything…

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