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…
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.
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…
Whether a worm, a human or a blue whale, all multicellular life begins as a single-celled egg. From this solitary cell emerges the galaxy of others needed to build an organism, with each new cell developing in the right place at the right time to carry out a precise function in coordination with its neighbors.
This feat is one of the most
remarkable in the natural world, and despite decades of study, a complete
understanding of the process has eluded biologists.
Now, in three landmark studies
published online April 26 in Science, Harvard Medical School and Harvard
University researchers report how they have systematically profiled every cell
in developing zebrafish and frog embryos to establish a roadmap revealing how
one cell builds an entire organism. (1)
How was the cosmos created?
How did the stars come to be?
How did life become… alive?
Irrelevant questions. Boring quests.
Searching for the how. In a world made
out of Whys.
Looking for death. In a cosmos made
out of life…
Imagine a cosmos without causes. A
world without laws. A universe governed by will. A fascinating universe. See
that little blind man. Brought into the universe unwillingly. Caring about
nothing. Just wanting to find out how everything happened. An insect in a
universe governed by titans. A shadow of nothingness, in a cosmos made out of