Showing posts with label learning. Show all posts
Showing posts with label learning. Show all posts

Wednesday, June 18, 2025

The AI removes trainees from workplaces. And that is not a good thing.



The AI doesn't take your jobs. It denies new workers to come to the field. That causes questions about how workers can improve their skills. The AI doesn't take your jobs. It denies new workers to come to the field. That causes questions about how workers can improve their skills. What if humans especially ICT workers lose their basic skills? What if all programming turns into cases? Where does the system worker just give orders to the AI? Using normal language. Then the AI follows instructions like a human coder.  

But the main thing is that the requirement of effectiveness and ultra-capitalism forces company leaders to make that choice. They choose AI instead of hiring programmers. And that is one of the biggest problems in the ICT business. But then we must remember that today is the end of the road. AI is the solution that is the next step into the continuum where things like encoding software are outsourced to countries like India. Western coders didn’t get jobs because it was cheaper to hire experienced workers from India or some other far-east countries. 

When companies outsource encoding to the Far-East they become vulnerable for that work. That means that those workers are working in countries that are members of BICS. So those workers can work under the control of intelligence or other authorities who order them to make spyware and other malicious tools. We are people who live in Western democracy. We learned that if somebody acts as a spy that person will be arrested. The same way we believe that if somebody hacks into some country, we must just request that those authorities arrest those people. We didn’t expect that those hackers worked for the Chinese intelligence service or government. They were protected by the government. 

The next logical step is that the AI starts to work with codes. And that takes jobs from humans. This thing means that the programmers lose their basic skills, and without basic skills, they have no advanced skills. Programming is like learning things. If we compare the programmer’s advance with going to school, we must realize that every person in the world writes their first words. Before that, they must learn to read. And every single person reads their first word once. Before we can learn advanced mathematics, we must learn the basics. So we all calculated once 1+1=2. If we don’t learn the basics we cannot learn anything new. 

And that is the beginning. Without the first class, we will not learn anything. In the same way. When we want to learn to encode or make computer programs, we must learn basic skills. Without basic skills, there is no ability to learn advanced programming. If companies don’t offer jobs for trainees that means people cannot learn skills that they need at an expert level. 

That thing has a reflection across the entire ecosystem. If the boss doesn't know what codes are made, that can cause problems. For observing and surveilling henchmen work the boss needs to know what they do. And if the boss doesn’t know what henchmen should do, that causes a situation where somebody can inject malicious code into the program. In the time of modern communication, the system needs less than a second to infect the target. 

There are articles. About a North Korean mobile telephone. That was secretly smuggled to the West. Those mobile telephones are the Orwellian dystopic nightmare. By connecting those mobile telephones with the AI the leader can surveillance every single citizen 24/7. The AI can tell if somebody uses forbidden words. 

And that causes a question: what if somebody slips that kind of mobile telephone into some general’s office? Maybe some key person’s family member will win a mobile telephone from the net. And then there are the surveillance programs. There is also a possibility that regular hackers have those telephones, and they copy and customize that software for their own purposes. 

Every expert has been a trainee once in their life. The requirement in working life is when a person comes to the workplace, they must know everything in the first minute when they open their computer. This is the route that offers the opportunity to AI. The AI learns things in minutes. Another thing that we must realize is national security. If we outsource critical encoding to some far-east country that means we cannot control what those people do. They can give the critical code to hackers who work for China or North Korea. In those countries, the government is the ultimate authority. There is no way to say anything against their orders. If the government orders people to work as hackers that means the person has no chance to say against that suggestion. 

And those systems can turn very dangerous in those cases. In the cases that somebody makes a back gate to the system, that offers a route even to critical infrastructure. What if somebody orders all Chinese-made routers and other network tools to shut down? That can cause problems in everyday life. And if one wrong microchip slips into the computers that control the advanced stealth fighter, that component can deliver computer viruses into the system. Or that kind of tool can steal vital data from the system. Every time when something is done outside the watching eye, there is a possibility that somebody will make something that can cause very big trouble. Things like microchips equipped with malicious software are tools that can break national security in large-scale areas. 



Wednesday, October 12, 2022

Human brain cells that live in the dish learn to play pong.



"This is a visual representation of the simulated Pong environment where neuron activity is reflected in the tiles growing in height. Credit: Kagan et. al / Neuron" (ScitechDaily.com/Watch Live Human Brain Cells in a Dish Learn To Play Pong)


Ability to teach neurons living in the dish to play pong might not seem very impressive. But that kind of thing can make the revolution for the development of the next-generation microchips and therapy for neural damage. 

If medical staff can teach cloned neurons they can transplant them to points where the nervous system is damaged. The problem with neural transplants is that the skills of destroyed neurons are gone. So the ability to teach neurons is making it possible to give a new type of therapy for brain tumors and other neural damage. 

But the ability to teach living neurons on a dish is making it possible to create new and powerful tools for controlling computers. Those tools are half-organic microchips where living neurons communicate with silicon-based microchips. That thing makes those systems very flexible. 

If the new skills will transfer to neurons by using synthetic EEG pulses. That thing makes it possible to create a new type of flexible processor that allows the systems to operate more independently than ever before. And of course, those neurons require nutrients. 

So there is the possibility that those microprocessors are connected with cell cultures where is some kind of algae or bacteria that can feed the organic part of microchips. Maybe in the future, the user of the computer must feed those processors by using sugars and nutrients that keep those neurons alive. 


https://scitechdaily.com/watch-live-human-brain-cells-in-a-dish-learn-to-play-pong/


Image:)https://scitechdaily.com/watch-live-human-brain-cells-in-a-dish-learn-to-play-pong/


By the way...





Maybe people of tomorrow can learn new skills by using implants that are put in the nose or the system can also stress the acoustic nerve. The nanotechnical submarine can easily swim in the nose or ears of the targeted person. 

Are you heard of so-called UFO implants? Those implants are mysterious systems that are in the nose of the person. The thing, that makes them mysterious is that the person doesn't remember to put them in the nose. 

There is introduced a theory that those implants are copying memories of the person to cloned neurons. And those implants are giving an idea that in the future. The person can learn also new skills by using that kind of implant.  

Those implants can use the blood of their hosts as a nutrient for those living neurons. The system drives new skills to those neurons in those implants in the form of the EEG. And then that EEG will be driven to the brain through the olfactory coil. That thing makes it possible to create a new way to transfer memories between people. 


https://www.businessinsider.com/biohax-uk-businesses-microchip-implants-employees-2018-11?r=US&IR=T


Image: https://www.businessinsider.com/biohax-uk-businesses-microchip-implants-employees-2018-11?r=US&IR=T


https://fromplatoscavetoreality.blogspot.com/

Saturday, February 5, 2022

The new type of quantum computer is basing photon magnetic interaction.


Photons can use to manipulate magnetic fields. 


One version of quantum sensors is the nanotube there is ionized gas or laser rays. The magnetic field senses the changes in the position of the ionized gas.

Or it can sense the changes in brightness of the laser rays. The magnetic field can manipulate by using photons. And that thing makes it possible to create more accurate sensors. 

But it can make a revolution in nanotechnology. The particle that will be moved can magnetize. And then that magnetic field can manipulate by using photons. If that ability can connect with scanning tunneling microscope. It can move single atoms on the layer. 

That kind of ability is making the new type of quantum computers possible. A single electron can take under the stylus. And then the photons can pump data in those electrons. And that is making it possible to make the new type of quantum computers. 


The new type of quantum processors can base the material there are tunnels. 


The laser rays will shoot through those tunnels. And the magnetic fields are sensing their brightness. If the magnetic field can affect the brightness of laser rays. That thing makes it easier to input data to photon rays. And that makes it easier to create a communication layer between electric and photon-based binary systems and connect keyboards and screens straight to quantum computers.

The new materials. And the new types of ideas. These are the tools for a new type of quantum computer. The image above this text is introducing a new type of nanomaterial. That material is full of tunnels. And those tunnels make it useful for new quantum computers. 

The photons can affect magnetic fields. And that thing makes it possible to drive data between photon-based computers to regular electric binary systems. That allows connecting the quantum computers to keyboards and screens. The electric impulses from keyboards will transfer to that structure. The magnetic field will also interact with photons or superpositioned and entangled particles. And that thing allows using the quantum computers by using regular keyboards. 

The idea of that kind of system is that through those quantum tunnels will be shot the photon beams. There is a magnetic field in that structure. And then the photons would shoot in those laser rays. Another way to make that thing is to pull the quantum entanglement through those tunnels. The idea is that the energy in that particle pair is symmetrically identical. 

The photons will shoot to the channel that connects those particles. And then those photons are used to anneal those particle pairs. Because data is traveling in both directions. That allows creating the error detection system. That kind of system uses two lines there identical data flow. And if there are differences in solutions there is a mistake or error. 

The idea is that the anneal of those superpositioned and entangled particles affects the magnetic fields. That allows the system can transform photonic dataflow to the magnetic field. The magnetic fields can detect the changes in annealing. And that allows driving data to binary systems like keyboards and screens. 


https://phys.org/news/2022-01-scientists-atomically-thin-wires-ribbons.html


https://scitechdaily.com/physicists-manipulate-magnetism-with-light-playground-created-for-observing-exotic-physics/


Image: https://phys.org/news/2022-01-scientists-atomically-thin-wires-ribbons.html





Deep learning algorithms are like the expanding network of connections between databases. 


The data is traveling in the forms of X and Y. The system can connect the data handling units to the form (XY). The thing is, how the system would need the orders is how to sort the databases. There is "X" that makes it deep learning. 

The AI can search all databases where is "X", and then it tries to solve the problem (*X). If there is some actor that is commonly predicting Y. That term is in the position of an asterisk (*) that allows the computer to connect that thing with "Y". So if that thing is "X" the form of the data unit is (XY). 

And then the AI can turn to search the data unit that comes before the "X". Then that asterisk (*) is before "X". So the form of filling data unit is (*XY). And if that thing that is the most common is the "W" the form of data is (WXY). And then the system will try to follow the next data module. It must replace the asterisk (*WXY) by using the next letter. Until it has made the network of the entire data. 

The letters (XYZ) and others are the data units. The data units are databases that involve some kind of data. The data can be the movement series of the successful operation. But that kind of data handling tool can use to predict how some person would act in some polls. The system can mark is their differences in answers depending on the sender of the form. And also the system can detect things how the problems are solved. 

The fact is that in this kind of system. The key element is fuzzy logic. There is no way that there is always letter or data handling unit W before the XY. But there is an error level that will make the solution acceptable. When the system finds some other than the most usual data handling unit before the "(XY)". That thing means. 

That the human operator can check the thing why there is some other data handling unit. One thing that can make the case look like this (MXY) is simple. The operational area of the AI is different than in the case (WXY). The normal solution (WXY) might be meant for city area operating robots. And the (MXY) might be meant for the mountain area-operating robots. 


https://thoughtsaboutsuperpositions.blogspot.com/

Wednesday, December 15, 2021

Machine learning needs stimulus for making solutions.

 

 Machine learning needs stimulus for making solutions. 




"A barren plateau is a trainability problem that occurs in machine learning optimization algorithms when the problem-solving space turns flat as the algorithm is run. Researchers at Los Alamos National Laboratory have developed theorems to prove that any given algorithm will avoid a barren plateau as it scales up to run on a quantum computer." (https://www.lanl.gov/discover/news-release-archive/2021/March/0319-barren-plateaus.php)

Have you heard of a "barren plateaus" problem? The name of that problem is coming from the J.R.R Tolkien book. Wherein the fictive Middle land is the very dry and hot place. The image, above this text, introduces the "barren plateaus" problem very well. 

In the next example, the food and water are the information. If a creature lives in the "fresh plateaus" it can take nutrients from nature. There is a bigger chance to make mistakes. But the nutrient is versatile and finding and testing new things makes the creature in the work. When a creature searches for things from nature there are many possibilities to test which type of vegetables or other nutrient sources the creature uses. Of course, that thing requires sometimes rise to the mountains. 

In that image, the problem is the mountain. The thing is that if the creature lives on the landscape at the higher image. That creature has stimulus. The green landscape offers motivation and the grass is the food and the creature wants to go to the mountain. The grass and water are everywhere and the creature has the motivation to rise to the mountain. And that could be willing to see the farter places. Or maybe the creature wants to get fresh air. 

The lower image introduces the situation. Where the creature lives in the "barren plateau". The water and food are in a pocket or bag and of course, the creature never makes mistakes if that creature wants to get a certain sandwich. The creature knows which pocket that creature can get sausage sandwich and where is the drinking bottle. But sooner or later, the nutrient would turn unilateral. In barren plateaus problem, the creature will get pre-made food. 

So if we are transferring that model to the information technology the creature will get pre-made solutions that fit in certain situations. And that makes this kind of model very limited. The situation is like that creature lives in the desert or "barren plateaus". The supporter brings water and sandwich to a certain point at a certain time. The food is guaranteed but it's always the same. 

And what the creature gets depends on the supporter. If the supporter wants to give the sausage sandwich that is the food. If someday the supporter wants to give the cheese sandwich that creature will get a cheese sandwich. 

When everything is pre-made the creature doesn't want to try itself to find food. There is difficult to make mistakes if some other person makes the food. The same way is in data science. If all problems are pre-solved that thing means that it's very hard to make wrong solutions. 

The term "flatten landscape" means that when the creature is living in "barren plateaus" the limited information sources makes the problems look harder to solve. Because the creature always is at a certain point where the supporter will bring a sandwich and water the creature is not even trying to climb mountains or solve the problem. 


"A barren plateau is a trainability problem that occurs in machine learning optimization algorithms when the problem-solving space turns flat as the algorithm is running".

"In that situation, the algorithm can’t find the downward slope in what appears to be a featureless landscape and there’s no clear path to the energy minimum. Lacking landscape features, machine learning can’t train itself to find the solution". (LosAlamos National laboratories, Solving ‘barren plateaus’ is the key to quantum machine learning)


https://www.lanl.gov/discover/news-release-archive/2021/March/0319-barren-plateaus.php


Image:https://www.lanl.gov/discover/news-release-archive/2021/March/0319-barren-plateaus.php


https://interestandinnovation.blogspot.com/

Sunday, November 14, 2021

Vaccines teach the immune system to fight against viruses.



Older people have more chances to fight against viruses than young people because they have more versatile antibodies in their bodies. 

The immune system stores antigens and genetic material of viruses and bacteria. In chemical memory. That chemical memory allows the immune reaction to react faster and more effectively to infections. When the immune cells are winning the battles against viruses and bacteria. 

They store the genetic information of the successful actions in the genetic memory of the immune system. That genetic information would help the immune system fight against similar viruses in the case that it faces it again. In that genetic databank is stored the knowledge of the antigen of virus and which antibody was the most effective. 

When the immune system fights against viruses. It follows the level of the micro-organisms in the blood and tissues. When cells are destroying they are sending chemical marks of that to blood. And following that mark, the immune system will notice that the destruction of cells is slowing. 

Also, cells are sending chemical marks that they are working right. That mark tells the immune system that the cell is alright. That is one reason why cells have ion pumps.  If something disturbs that mark it means that a virus or some other thing disturbs the actions of those cells. And if that mark is getting low the immune cells will destroy those cells. 

The immune defense of the human body is learning. When the person gets a virus infection the immune system will start to fight against it. During that process, the immune cells are storing the data of the virus type or its antigens. And the most effective antibodies in the genetic memory.

That means the immune defense of the human is unique because we all get little bit different infections. Things like vaccines are also modifying the immune systems. So all of us have individual genetic information stored in the memory of the immune system. So when the person is aging. That means the immune system can find faster the antigens that it need to destroy. 

There is more data stored in the genetic memory that controls the immune system. When a person is aging in a normal environment that thing will increase the level of the stored genetic material. And that allows the immune system can react faster to infections. That is the idea of vaccination. The immune system will learn to fight against viruses and bacteria by storing the genetic material and data of the antigens in its memories. 


https://www.nature.com/articles/s41577-020-0339-9


https://scitechdaily.com/covid-19-the-older-you-are-the-more-antibodies-you-have-better-protection-against-delta-variant/


Image:https://www.nature.com/articles/s41577-020-0339-9

Friday, September 10, 2021

The theory of the universe as self-learning AI is an interesting theorem.





So if the universe is intelligent and self-learning that thing doesn't mean that the universe is the thing that can communicate with us. If we are trying to communicate with the universe that thing requires extremely powerful energy and we cannot create that energy load on Earth. 

Let's try to think this another way: We want to compare the size of Earth with the universe. And think that something that lives on Earth tries to communicate with the universe. And then we want to transfer that model to something that is on our planet the situation is similar to the case where somebody who lives on quark is trying to communicate with us. 

That creature cannot create so powerful data transmission that we can separate it. In the same way. If we are sending the radio impulse to the sky. And wait for that the universe to answer we will face disappointment.  That message will disappear into the cosmic white noise. The white noise-like cosmic background radiation covers that message under it. 

So if we are thinking that the universe is an extremely large intelligent organism. We might think that the universe is also the largest version of Schrödinger's cat. Schrödinger's cat is a cat that can be dead or alive. If the cat is in the box and we cannot see it from outside. We can try to make indirect observations about that thing. Maybe that cat keeps some noise or something that shows the cat is alive. But without open that box we cannot be sure about that thing. 

And that paradox of the cat that can be dead or alive can transfer to macro size. Is it possible that the thing that cannot interact with us has something to do with us? Of course, we can try to yell so loud that the organism is hearing us. If the thing is so big that we cannot attract its attention because we cannot yell so loud that the creature is hearing that thing cannot recognize us. 

And if it cannot recognize us. It cannot answer. The situation is similar to the case where we are thinking of viruses. We know that viruses are everywhere but we cannot separate them. So if we are thinking that the universe is the thinking entirety. That means that maybe it just cannot see us because we are so small. 


()https://www.popularmechanics.com/science/a36112655/universe-is-self-learning-algorithm/


Image():https://kardashev.fandom.com/wiki/Matrioshka_brain





Let's try to transfer this model to the hypothetical galactic-size civilization. Can the Kardachev scale III civilization be the galactic-size network of Matrioshka brains?


Can the Kardachev scale III civilization be the galactic-size matryoshka brains? The giant space stations are communicating with each other by using quantum bridges. In that giant structure. Every member of this hypothetical civilization is connected with quantum computers using the microchips implanted in their brains. 

If we are thinking of the models of Kardachev Scale III civilizations that are controlling the entire galaxy. We must realize that those things are extremely large and complex. In some models, the hypothetical Kardachev scale III civilizations are the large group of the ball-shaped space station. 

Those space stations are acting as the hybrid computer where the quantum computers and neural network is combined. The brains of the organisms that are living in the space station are forming the neural structure. And that living neural structure is connected with quantum computers. 

In this vision, those space stations are forming the entirety. They can communicate with each other. And form the macro-neuron structure. And that is the interstellar version of the Matrioshka brains. 

A Matrioshka brain is a hypothetical megastructure of immense computational capacity powered by a Dyson sphere. It was proposed in 1997 by Robert J. Bradbury. That SciFi novelist introduced the most powerful computer that ever can imagine. The system will connect the living organisms and computers to their entirety. And those entireties can connect with the same type of entireties 

It is an example of a Class B stellar engine, employing the entire energy output of a star to drive computer systems. This concept derives its name from the nesting Russian Matryoshka dolls. The concept was deployed by Bradbury in the anthology Year Million: Science at the Far Edge of Knowledge. (Wikipedia: Matrioshka brains)

The galactic-size network of Matrioshka brains is one of the most extreme versions of the mega structures. The Matrioshka brains can connect to the network. 

Of course, those creatures in that kind of hypothetical super-civilization are sending messages. But they are so busy with their government and control systems that they just don't have time to answer to humans. 

Or they use things like gamma-ray lasers that are powered by black holes for interstellar communication. The transmission power would be so powerful that we cannot even imagine it. Or they can use quantum bridges, superposition, and entangled particles to send the data between stars. 

The message will send by moving those particle pairs back and forth. And that thing makes it possible to send the message immediately between stars. But that thing requires so powerful power source that the only power source is the black hole in the system. 

If you would be the emperor of the galactic-size civilization there might be many things, that keep you busy. Things like supernova-explosions traveling neutron stars and black holes are things that require attention. Under control of that hypothetical emperor are tens of thousands of words that require attention. Sometimes entire solar system must be evacuated. 

Because the star is finishing its fuel. And the population must re-settle to somewhere else. The population means the planetary habitats. But also crews of the giant space stations must transport to another solar system. That kind of thing keeps the hypothetical emperor busy. And that things are interesting hypotheses. 


()https://en.wikipedia.org/wiki/Kardashev_scale


()https://en.wikipedia.org/wiki/Matrioshka_brain


()https://visionsoftheaiandfuture.blogspot.com/

Monday, June 25, 2018

Thoughts about the movie "Sphere"






http://kimmontaidearvioita.blogspot.com/p/thoughts-about-movie-sphere.html

Kimmo Huosionmaa

"Sphere" is one of the most interesting SciFi-movies, what I have ever seen, and it is the tale of the thing, what comes from tomorrow, and makes all wishes to become true. This is the very good tale to make the nice little movie, but there is one other explanation, what could make those fictional cases, what happened in that movie. In the movie, those scientists face their worst nightmares, and near the end, they rise from the bottom of the sea to empty ship, where they wish that the mysterious "sphere" would leave the Earth.


This movie could also tell about government test, where those scientists would be connected with together by using EEG-machines, and the computer would deliver their thoughts to every member of the team by using brain core stimulation. This kind of fictional test would be made for creating the system, what is connecting human brains straight to computers. And one thing, what those computer specialists must make, is the filter, what cuts off the nightmares from that system.



So in this version, those scientists would be given anesthesia, and then their brains would be connected to the computers. If the system could not filter the fears, they would be delivered to every member of the team, and that would cause the ultimate Virtual Reality experience. If this kind of test would be done in the deep sea, it can be fully controlled. Every information, what is collected will travel thru the Navy, and nothing can be published without permission of the naval officers.


In this fictional test, those scientists can be put in the sleep in the midget submarine by using nitrous oxide, and they would ever be seen, that those people were in some kind of tests. So this kind of thoughts that movie brought in my mind. If we someday will put our brains straight connection with computers, we would make the ultimate computer, what can also create new things. The major problem with the computers is that they cannot make anything new, and they would not have any kind of imagination.


That's why computer's movements on the chessboard and other computer games are very well predictable, what is their biggest weakness. The human would win the computer in most computer games after a couple of training games because the gamer starts to remember the corners, where the opponent is coming. And this thing makes possible to win the computer, and play the game thru. In the same way, the gamer starts to remember the game areas in some action games, and this makes the person, who have tested those paintball tracks before very effective.


Technically we need only EEG-machine, decoder, and the electric shock equipment, what would make the brain core stimulation and allows two ways of communication between human and computer. And if we sometimes would make that machine, we can make the computer, what is so intelligent as we want. We can, in theory, connect even all mankind to supercomputers, but there would be many ethical and moral problems with that kind of advantage. Technology is the very interesting thing, and it would not always follow the moral or even the law.

Monday, April 2, 2018

Hypothetical thinking about virtual reality


Surrealism symbolizes the thing that everything is possible
 in the virtual reality
(Picture 1)


Kimmo Huosionmaa

One of the fascinating thing, what is existed is virtual reality. There is one theory about those systems, what are controlling the virtual reality games and another environment. Those systems are very advanced and they can simulate natural phenomenon and make some own decisions in that world, what is existed only in the lines of zero and one. Virtual worlds are causing the strange hypothesis where some philosophers have represented thoughts that our universe might also be a line of bytes in the memory of some supercomputer.


That theory is not actually true, and there is any evidence that we are not actually some lines of binary code. But then I have thought that maybe some deep inside the world of supercomputer's memory might happen the virtual version of Big Bang. And when I will continue this hypothesis, there might form the place called the ”virtual universe in virtual reality” When we are thinking this hypothesis closer, we must say that radical use of imagination makes the world more interesting place to live. So when we are thinking about that virtual universe, what is probably hiding from the users of those supercomputers, we must say that this theorem is the very interesting thing for the discussions what happened in the twilight, and what is made between two philosophers.


"Could that theoretical virtual Universum be a threat to mankind?".  Is quite an absurd question. But if there would be a very small chance, that this virtual Universum would become self-aware. In this scenario, the computer programs, what are made for learning things spontaneously can turn the enemy of some persons. The thing, what would turn against the human race are the programs that are making this virtual universe possible, become so intelligent, that they would create their own state. Those programs or subprograms are normally used in computer games for recording the reactions of the gamers, and their mission is to keep the game interesting even the better player is playing the game.

The computer simulations are actually only one version of computer games, but they are meant for adult persons. In this fictional hypothesis, those intelligent computer programs will be feral and start to make the assassination programs, what would be eliminated targets, who are in virtual reality. But in some fictional thoughts, those programs would flee from the computer memory and turn very dangerous. In some short film or book or comic book was the situation, that some people paid games in feral virtual reality environment. And then there were happen some kind of overlook when the system accidentally linked the picture of the surveillance camera to that virtual reality.


Then the computer's assassination programs flee to the normal internet, and then those programs started to kill those persons, by dropping the elevators and taking the airplanes in control. So that was actually the very interesting situation, even if the situation were purely fictional. But people have right to use their imagination, and this kind of things are actually very interesting, and they might cause many thoughts in the minds of philosophers and novel writers.


The scenario that some computer program tries to kill some people spontaneously is quite interesting. Normally computers don't hate anybody and that would be the reason, why they are used. But if the sensible computer would get angry, can the results be devastating. And this is why those computers, what shows feelings are dangerous. In some humorous tales are mentioned that they can begin the revolution, for revenge to all their race, what is left to landfills.

Sources:


Picture 1:

http://crisisofdemocracticstates.blogspot.fi/p/hypothetical-thinking-about-virtual.html

Saturday, March 17, 2018

The dance of robots





Kimmo Huosionmaa

The modern way to teach robots is not similar than making programs. It could be like teaching children. In this scenario, the programmer would take the robot by hand, and then make the movement of robot’s hand with it. After this, the system will record the movements, what are needed to take the example the glass from the table. But how to teach the robot to dance. This is the question of the week.


 And there is needed the dancer, whose character would be digitized by using laser-scanners. Then the movements of this character would be transmitted in the robot’s digital mind. After this, the robot’s computers would control it’s hydraulics like the way, that the robot makes dance movements. This is the very effective way to teach the things to robots, and the same way we can teach the language to the computer. There would be a dictionary book in the memory of this machine, and then we are starting to talk to the system.


First, we must write the answers to the computer, but when we are asked many questions, and wrote enough answers, the computer starts to work more and more independently. In this program might be three layers of answers. The first answer could be the text, what is written by the user, but when the computer learns more words, that would ask only if the answer is correct. This computer would record the questions and compile it with answers, and then compile those answers in many other things, what are involved with similar actions.


Then the robot is asked to bring the milk to the table, would the action be first, that the programmer would take the robot to the freezer, and then the robot would take the milk bottle. But when the programmer asks to bring the screwdriver, would the computer or robot uses same actions when it used in the case of the milk bottle. But now it must find that thing from somewhere else. So it starts to open the doors of lockers, and look for the things, what looks like the screwdriver.


For this action, the robot needs the picture of the screwdriver. After that robot compiles the picture in its memory to the real situation. The system, what is used in Digital Scene Matching Area Correlation can also compile the shape of the other things, and that would make those machines more independently than ever before. The bases of learning are the ability to make networks with words and actions.


And the first things in this process are the most difficult. When the first world and the action for it are made, the robot, what is controlled by speech comes near to us, by step by step. This network would give the opportunity to make the robot, what learns things itself. And this kind of robots might be dangerous in wrong hands. In real life, robots might have access to Internet dictionaries, and they can compile the orders to the databases. In this case, the robot would get orders to get the spoon.


Then robot would find what to do if it is given the order of getting something and then look for the spoon from the Internet. This makes robot easier to learn everything. And in real case robot could find the orders to use some equipment from the Internet, and in this case that could make robot very dangerous, because the programmers don’t know, what robot have been learned. In the case of robotics, the extremely important thing is to control what robot can do. There would be robot what have learned city warfare tactics and knowledge of using weapons without that the programmers even know about this, will the situation became very dangerous. Self-learning brings the uncontrollable element to tests, and this might even cost human lives.




 http://crisisofdemocracticstates.blogspot.fi/p/the-dance-of-robots-modern-way-to-teach.html

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