AI is the tool that can change web searches forever.

The new AI will not destroy Google immediately. But those new systems can have a big influence on Google for a longer period. The fact is Google controls so large a data mass that its power on AI development is stunning. However, the new AI-based tools can connect search results from multiple search engines. And then it can refer to those results and make the list of homepages that it used for the solution. Google's dominance ends when those AI-based search solutions can create such large databases that it can turn independent from traditional search engines. 

And that is the main problem with those things. Google is not the only search engine in the world. There are many other search engines that want to drop Google from its position. But some of those search engines are powered by Google. They offer one interface between a search engine and the user. Search engines require lots of computer power as well as AI needs. Companies like Google sell data. 

That means those search engines are operated by private corporations whose business is to sell data. The thing that makes those companies so powerful is that they collect data about the clicks that users give to them. The number of clicks raises the page rank. And that raises the homepage’s position on the search result list. This is one thing that causes critics against that system. It’s hard to get new home pages to the top of that page ranking list. People normally see only a couple of top homepages from that list. And then they select the thing that they think is the best. 

This is the Matthew effect in the web searches. Homepages that already have a massive number of clicks will get much more. And homepages that have no clicks will not even get them. That is the thing in web dominance. AI-based solutions can use many search engines at the same time. The thing that makes those applications interesting is the results or references that depend on the information that it gets if the AI-based web search application can see what type of persons will read those homepages. If some homepage is used by professors who work in a trusted university, that can justify that other people can trust those homepages. But how to confirm those people’s real identity? 

One solution is the quest book where people can say their work. And then we must also realize that confirming those answers is quite difficult. People can write anything they want in those quest books. Confirming those answers requires hard recognition. And that’s against privacy. Privacy protects people on the net. But the same thing offers protection for cheaters, propagandists, and net criminals. There are countries that collect data from all their citizens. 

But people will not need only search lists. The problem with those lists is that they are based on web addresses. There is a possibility that somebody changes the data that those homepages involve. First the page rank will rise using some addictive material. Then the workers change texts, or information from the homepage. That is the tool that is effective for hybrid operations and propaganda work. That is one thing that causes the need to create more advanced tools that can use data deeper than regular search engines. 

The biggest problem with modern networks is disinformation. The other problem is how to describe disinformation? People like V. Putin has a different way to see that thing than regular western actors. That is one of the things that we must realize. The same tool that works against propaganda and disinformation can turn the ultimate tool in their hands. 

https://www.rudebaguette.com/en/2025/06/chatgpt-wont-kill-google-sam-altman-downplays-the-hype-while-quietly-reshaping-the-future-of-search-with-every-new-update/

A new way to control photon chains makes it possible to create scalable quantum computers.

"Scientists have found a way to generate entangled photons using metasurfaces, simplifying quantum computing and communication. (Generating multiphoton entanglement with a tiny metasurface.) Credit: Peking University" (ScitechDaily, New Photon Entanglement Breakthrough Could Miniaturize Quantum Computers)

The photon chain makes it possible to create new types of quantum systems. Those systems can combine data handling and data transportation. The quantum computer in the future can look like a tube, there information travels in light flow in the photon-bound chains. 

The new types of quantum entanglement make it possible to create long-distance quantum data transportation. The idea is that the data travels between photons. Those photons are in chains. 

The system can make it possible to create a quantum chain where the other side is always at the lower energy level. The system can also let one of the photons in the chains to a very low energy level. Then it can dump data into it. After that, the system can raise its energy level. 

If data can travel between curved photon chains. That makes quantum computers more scalable. 

It can transmit information between multiple photons at the same time. But it can transmit identical information between quantum-, or qubit lines.

That ability makes it possible to make more effective error-detection protocols. That kind of system is one of the most fascinating that we can imagine. 

The new photon quantum entanglement makes the new types of quantum computers possible. The quantum computer's "heart": the quantum entanglement can be put into the series. And that means information can travel long distances in that kind of quantum computer. The difference between regular quantum networks is that in this kind of system, the quantum network can also handle data as computers. 

In traditional systems networks just transmit information. And the computer handles it. The quantum network can connect those systems in one entirety. So when this kind of network transports information it also handles it. 

That means a quantum computer can be the tube, there is a bundle of the series of superpositioned and entangled photons. The series of entangled photons have one superiority that the simpler systems have not. The system can cut the photon chain at a certain point. When it wants to transport more information into it. That means the quantum system can create a loop. 

There other systems can transport information in the middle of the process. By connecting multiple loops. That system can make a structure that can handle things more complicated than regular linear quantum computers. The circuit-shaped data handling process can make it possible for the system to make the data circuit, or data loop that allows it to drive calculations as cycles. So the quantum system can calculate series in those circuits. 

https://scitechdaily.com/new-photon-entanglement-breakthrough-could-miniaturize-quantum-computers/

https://www.space.com/space-exploration/tech/scientists-discover-simpler-way-to-achieve-einsteins-spooky-action-at-a-distance-thanks-to-ai-breakthrough-bringing-quantum-internet-closer-to-reality?utm_source=flipboard&utm_content=topic/technology

The physics-based quantum tools will replace current AI networks.

  The physics-based quantum tools will replace current AI networks. 

The future of AI is material that involves mass memories, power sources, and data storage in one entirety. The next big step in neural networks is the material-based AI where carbon-fiber-based material is turned to the computer.  

The problem with regular AI-based neural networks is that the quantum computers that becoming more common will break any code that protects the neural network. And that means the future of networks is in a physics-based self-learning system. That is based on quantum computing. 

The programmable materials will replace current AI networks quite soon. The simplest version of that type of neural network is the microchip, whose kernel involves the AI programs. In that model, the AI is integrated into microchips. And that makes data-handling easier for that computer. That type of structure is not a physics-based material. 

But it tells about the route where the next-generation neural networks are going. The material-based solutions where intelligent material involves mass memory, and also integrated ability to handle data. The next-generation neural network can be the system where quantum entanglement is made into the same material as mass memories and other things. 

The next-generation computer can be a three-layer nanorod. That structure makes it act like the human brain. The quantum computer created by using three-layer nanorods can be as intelligent as the human brain. The quantum entanglement will created horizontally between photons or electrons trapped in the nanorod structure. Vertical entanglements transmit information between those layers. 

But the fact is that that kind of extremely complex nanostructure can have multiple layers of qubits. The atom-size quantum computers can hang in the nanorod. And that thing makes it possible to create new and powerful systems. 

"Learning with light: This is what the dynamics of a light wave employed inside a physical self-learning machine could look like. Crucial are both its irregular shape and that its development is reversed exactly from the time of its greatest extent (red). Credit: Florian Marquardt, MPL" ((https://techxplore.com/news/2023-09-physics-based-self-learning-machines-current-artificial.html)

"Artificial intelligence as a fusion of pinball and abacus: In this thought experiment, the blue positively charged pinball stands for a set of training data. The ball is launched from one side of the plate to the other. Credit: Florian Marquardt, MPL". (https://techxplore.com/news/2023-09-physics-based-self-learning-machines-current-artificial.html)

The mass memories are anchored in the nanorod that also transmits information forward. In that system, the atom-size quantum computers operate as staged waves. When electricity that transports information faces the group of those nano-size quantum computers those systems will process information and send it forward. In nanorods could be millions or even trillions of atom-size nanocomputers. 

There could be thousands of quantum entanglements in that kind of atom-size quantum computer. Electrons can have multiple quantum entanglements between them. Also, things like protons, neutrons, quarks, and gluons can form quantum entanglements. And in a hole in the net-structure of the nanotube can be one or more atom-size quantum computers. That makes those systems more powerful than any existing network. 

This is the reason why quantum materials are so interesting. By using extremely accurate photon and electron impulses the quantum system can drive material or its atoms and other particles so close to each other that they can make quantum entanglement between photons, electrons, or even protons that are in "pockets" of that material. 

The idea is that a photon trap where the single photon is trapped transfers energy into that superpositioned and entangled photon pair. The problem is that this thing requires an ability to control the material in its entirety and that makes the ADNR (Aggregated diamond nanorod) nanotubes interesting. 

In ANDR nanotubes carbon atoms are close to each other. And then that thing makes it possible to make stable "lockers" for photons. In ideal models, the next-generation AI-based structure involves all components like mass memories, power sources, and data handling units along with computer programs forming the entirety. 

The next-generation computer can be a nanotube, where a nano-size structure involves the quantum system. And in some other visions, the electric wire will turn into nano- or quantum-size computers. The system would be different from modern AI-based neural networks. The wire itself works as a computing system. And that thing makes the computer faster and more accurate than ever before. 

https://techxplore.com/news/2023-09-physics-based-self-learning-machines-current-artificial.html

https://en.wikipedia.org/wiki/Aggregated_diamond_nanorod

The Chat GPT is a pathfinder but in the future, smaller and more specific AI systems change the game.

   The Chat GPT is a pathfinder but in the future, smaller and more specific AI systems change the game. 

The Chat GPT,  Bing, and many other AI-based chatbot versions are massive systems that should fit every situation. The problem with common AI is that these kinds of systems require lots of capacity, and there are lots of sources that those systems must use. 

This thing means that the trustworthiness of sources is problematic. The reason for this thing is that the AI doesn't think. It collects data by following certain parameters. That thing makes those systems vulnerable in cases where they should search for information that is not very common. 

The smaller-size specific AI-based systems that can use the same engines with Chat GPT and Bing are more suitable for things like scientific writing. The AI is an ultimate tool if it has a pre-programmed list of trusted and estimated sources. If a writer wants information about some very uncommon things like quantum mechanics. The AI can use sources. That passed scientific estimation. The results are best in business.

The limited AIs can act as independently operating modules in the networked AI-based systems. In that case, those limited AIs act as event handlers for the common AIs. 

Maybe we think that those small AIs operate independently. But the fact is that those independently operating smaller AIs can used as event handlers. That system is connected with bigger AI:s. In that model, those limited AIs can form independently operating module networks, which makes the common AIs more powerful, and accurate than ever before. 

Those independently operating limited AIs can network below the Chat GPT style AIs. The idea is that the limited AIs can form the entirety under the common AI control. This means that the limited AI:s can form a network. That the bigger AIs can be used as event handlers. 

Next comes two examples of limited and powerful AIs. Those things can turn game changers. 

The Finnish AI predicted very accurately where the wildfire started. 

One of the examples of specific highly accurate AI is the AI that predicts wildfire. The researchers from Finnish Aalto-University have created an AI that can predict wildfires. And that AI has shown its success. In this case, the AI uses parameters like humidity in the air, air temperature, and wind speed. The system also can use statistics about the conditions and places where wildlife is starting. 

Also, things like the frequency of lightning and things that are lightning common along with rain or in dry weather are things, that help to predict wildlife. The system also can follow volcanic activity and how often and in what kinds of conditions people are making fire. If there are no spark arresters in chimneys that increases the risk of wildfire.  In that case, the specific AI follows only a limited number of variables. And that thing makes it very accurate. 

The military AI can predict where the enemy attack comes from. 

The military AI can use variables like how hard the ground is, is there some muddy river bottoms, and other kinds of things to predict the place where the enemy might want to attack. There are also many other variables like enemy vehicles and weapons that can affect to that place.

But if the enemy uses tanks the ground's hardness is extremely important. Another thing that the system must know is how steep the riverbed is. That is important information for tanks. In the cases that they cannot use bridges. 

There are, of course, many other variables that the system must have. But those two things are examples of small, and specific AIs. Those RISCs- AI:s are not as flexible as Chat GPT and Bing, but they are highly accurate. And the limited operational areas make variable handling easier than in some common AIs.  

https://www.dezeen.com/2023/08/24/ai-wildfire-model-firecnn-aalto-university-aitopia/

https://www.aalto.fi/en/news/new-ai-system-predicts-how-to-prevent-wildfires

Magnesium germanite can be the key to a new type of quantum computer.

"Working with magnesium germanate, Mg2GeO4, analogous to one of the mantle’s most abundant silicate minerals. The team was able to glean information about the potential mineralogy of super-Earths and other large, rocky exoplanets". 

"Under about 2 million times normal atmospheric pressure a new phase emerged with a distinct crystalline structure that involves one germanium bonded with eight oxygens. The new eight-coordinated intrinsically discorded mineral. Is expected to strongly affect". 

"The internal temperature and dynamics of these planets. Credit: Illustration is courtesy of Rajkrishna Dutta (Scitech Daily, What’s Happening in the Depths of Distant Worlds? Physics and Chemistry Fundamental to the Existence of Life)". 

Sometimes, when I see this kind of image. I noticed that these kinds of silicates are looking like neural structures.

So, could it be possible that on some planet, magnesium silicate forms quantum computers spontaneously? The structure of magnesium silicate is similar to a neural network. But is it possible that this kind of mineral would someday use in portable lightweight quantum-neural computers? 

The magnesium germanite is one of the molecules that can someday form the new type of quantum computers. Quantum computers can operate at room temperature but it requires extremely stable conditions. The idea is that the magnesium and germanium atoms can stress by electromagnetic radiation. 

Electromagnetic radiation can use to stress those atoms separately. So that kind of system can have two data handling lines or qubit lines. The idea is that those systems can make the error handling by driving the same algorithm separately. And if they get the same answer the answer is right. Magnesium germanite can use to create small-size quantum computers. 

The solid and compact quantum processors might not be as powerful as some computer centers. In that case, we must remember that our mobile devices and laptop computers are not so powerful as some central computers. So even in the quantum computing world, the different computers must not do the same things. The lightweight systems must not have the same capacity as factory-sized systems. 

But they are more powerful than most binary computers. The magnesium germanite can be cut into small 2D plates. But if that structure is 3D. It can use to make the quantum neural system that can have many internal data handling lines. 

The new research about underground lifeforms is going on.

When we are looking for alien lifeforms, we should first describe the term "lifeforms". Would the thing get the lifeform status because it can make descendants? Is the self-replicating molecule the thing that we can call a lifeform? Or could the lifeform be the crystal controlled by the DNA? Lifeforms like vegetables are not moving at all. Or should the lifeform interact with the environment?

There are found "ice flowers" on Mars near NASA rovers. Those things are not alien lifeforms. Ground frost forms those "flowers".

Carbon dioxide and other hydrocarbons are acting like water when the temperature rises. Those things turn to gas and cause expansion. That expansion causes the ground is starting to rise. Rising gas is decreasing temperature at the edge of sand particles. And that makes them freeze to interesting forms. 

Why are researchers researching exoplanets? And especially super-Earths. The mantle of super-earth is very thick and there is the possibility that some kind of organisms could live in the mantle of the large rocky planets. The volcanic temperature of those planets can offer the stable and safe conditions that some primitive organisms can live under the surface of the locked planet.  

The reason is that those distant rocky worlds are telling us what might be our fate. And then the data that is collected from the exoplanets can connect with data collected from Earth. The life in Earth's deep mantle is ever searched before. There is the possibility that deep in Earth are the lifeforms that can live by using volcanic temperature for energy production. 

If that kind of lifeform is found. That thing makes people rethink the origin of life. There is the possibility. That the Primordial Sea was the water vein deep underground. There were born the first procaryotes. And then some of them rise to the surface. The ability to make photosynthesis was the reason why the organisms came to the surface. 

When we are thinking about the form of the alien life. We forget one thing.  The alien life is not probably like our life at all. When we are thinking about primitive lifeforms. There is possible that those lifeforms cannot move at all. 

Silicon-based lifeform could be DNA-controlled crystals. Or it can be the ice crystals whose growth and form are controlled by the DNA. The thing is that the term "lifeform" can mean anything from some kind of little green man to some self-replicating molecules. But could the hypothetical silicon-based lifeforms some kind of computer? 

https://www.studyfinds.org/mars-flower-nasa-curiosity-rover/

https://phys.org/news/2022-03-life-earth-deep-mantle.html

https://scitechdaily.com/whats-happening-in-the-depths-of-distant-worlds-physics-and-chemistry-fundamental-to-the-existence-of-life/

https://thoughtsaboutsuperpositions.blogspot.com/

Why are bigger neural networks better?

We can think that neural networks are like the social networks of humans. A bigger social network means that person gets more information. The large social network is making it possible to get information from many points. And if the social network is heterogeneous there are multiple different types of actors that keep the information versatile. In computers and AI, versatile sensors guarantee that the system can get information even if some sensors are unable to work. In the human world, versatile information guarantees. Those actors can find a solution. Even if one road to a solution is closed. 

First, we must describe the word "big". Word "big" can mean a large number of data processors. Or it can mean a large area where the network collects data. When we are thinking of big neural networks as the things like human brains. We must realize that the high number of connections between the high number of data processors called neurons is making human brains the ultimate tool. 

But there is one thing that makes a high number of neural connections problematic. And that thing is that the high number of neural connections is making systems slower. The reason for that is simple. Neurons must search for the right connections longer time. The thing that makes human brains so effective is that they can begin the computing process in multiple areas at the same time. And then they are connecting those processes to one entirety. 

In the cases of human brains, we can see that 200 billion neurons can make more things than 10 neurons. This makes human brains so powerful tools. 

If there are only a few neural connections the system has fewer connections to select. And that makes the system fast. But a large number of connections gives more skills to the system. That allows connecting multiple data bites by using more possibilities. Data that is stored in the neural system is like in a puzzle. Every database in that entirety can reconnect with other pieces. And that thing makes the system more independent than regular systems. 

Interconnecting databases means that in one database is an object. That object can be a screwdriver. The system can connect that tool for every single action where a screwdriver is needed. And those actions are a group of databases. If there is a lot of databases where that tool is connected. That means the system must not all the time ask for pieces of advice. That means the system is more independent. 

When we are thinking cases. Where robots are connected to one entirety we are talking about the multiple internal neural systems. There can be the macrosystem where the robots are connected with surveillance cameras and other things. But those robots are equipped with their internal neural networks. If the system can see things from longer distances it can make better decisions. It can get a larger data mass for operating. 

The large-area neural network that interconnects robots with fixed surveillance systems is effective for this reason. It can predict things better. In the cases that the entire city area is interconnected as a neural network, the system sees if there is a rush in somewhere. 

But if the system will get data about traffic from the 100 kilometers distance it has more time to calculate the optimal time for traffic lights. In ideal cases, the system would know where all users of roads are going. And it can create the shortest and the most economic road along with optimal time for leaving home for each person. But there is one problem with the AI-controlled world. 

The AI would not realize that we are doing something, because we want to do those things. If we think about the case where is no money and AI controls how many goods every person would get? We are facing one very interesting problem. What if we don't like some food? The AI can see that some food is a very popular thing. 

But there is always some person who cannot eat it. And that means the AI would cause a very interesting situation. If it faces the person who has an allergy to things like chocolate. We believe that everybody likes chocolate. But that allergic person would probably like that thing. So that kind of thing is making the AI-driven word absurd. 

https://thoughtsaboutsuperpositions.blogspot.com/

The disinformation about things like the coronavirus spreads in the net.

 

 The disinformation about things like the coronavirus spreads in the net.

The question of why people believe disinformation is that disinformation is pleasing them. Another reason is that people are looking for social relations with people who are similar to them. And the information that is shared on social media is coming from people who we want to please. And those people please us.

So we are not saying that person shares information that is not relevant because we were afraid to lose somebody that might seem important to us. If our friends are sharing the disinformation. We might not dare to resist the hoax information.

Or say that information is not correct or the shared information might be dangerous. The reason for that is we are afraid to hurt somebody in our social network. If some people who we use to think like an authority or who is the central person in our social network are sharing disinformation, we might want to obey that person. That means we might follow that person even if we know that is wrong. 

1) Misinformation means "not correct" or false information. That is not shared in purpose. 

2) Disinformation means the information that is shared in purpose. That purpose might hurt or damage the trust of the authorities. 

Another name for that kind of campaign is propaganda. The military term for that kind of action is PSY-OP or Psychological Operation. 

The most important targets for disinformation are people who are in influential positions. And one of the groups where the disinformation is targeted is journalists. If journalists are affected the information that is shared will turn more powerful. People trust the media and if somebody cheats the reporter that will turn information more powerful. 

The normal way to resist vaccines is to criticize them. Critical attitude means of course the denial attitude. A critical attitude means that person is investigating the background. But in the disinformation campaign, the criticism means that person is against some things like vaccines. In the same way, critical attitude against the refugees and foreigners is turned to denial attitude in the public language. 

So how do we recognize is something disinformation? One version of that thing is that only negative things are collected in the article. I use the term "article" also for texts. Those are written on social media.  

We might analyze who is the person or actor, who is benefits the case that somebody doesn't take vaccines? The person who benefits from the action is often behind that thing.  The thing is that some vaccines are denying also the use of biological weapons. But that thing might not the reason why somebody is resisting the vaccines. 

If the person is vaccinated there is also impossible to die because of some illnesses. That means the vaccines are protecting people, but they also deny lies like being home in flu when a person has a hangover. 

One of the things that can use as the mark for disinformation is that the article or disinformation is driven by using humor or there are some other things like mentions of mental illness of the writer. Things like schizophrenia have not connected with the things like Game theory. 

But for some reason, the creator of the Game theory John Nash is always mentioned as being schizophrenic. 

When I read books about Game Theory there is one remarkable detail. In those texts is mentioned that Nash has that syndrome. So what the schizophrenia has to do with a thing called the Game Theory? Are those people estimating the Game Theory? Or are they estimating the mental condition of John Nash? That is a very interesting detail about writings of the Game Theory. 

Or the article is written in the spirit that something like a denial of vaccines is somehow "cool". Those texts are also appealed to the vanity of people. "Why I must take vaccines"? 

Other people are taking them, but why should I"? I have the right to say "no", and who cares about the hospital places that are reserved for me"? The corona-passes show that the person is taken the vaccines. But the deliverer of the disinformation appeals to selfishness and vanity. 

If we believe those people we should think like this: other people should sit inside. And all things must be closed because somebody doesn't want to take vaccines. 

https://en.wikipedia.org/wiki/Game_theory

https://en.wikipedia.org/wiki/John_Forbes_Nash_Jr.

https://networkedinternet.blogspot.com/

How do the robot and AI predict the unexpected?

People have many skills that they don't need. Many people have driven things like heavy vehicle driver's license even they never drive those things. Sometimes people have hobbies like martial arts. And they ever need those skills. 

In the same way, the programmers must think about what kind of skills the robot must have. Every skill that a robot has must determine in its programming. If the robot has many skills that make its programming complicated. 

And preparing for the unexpected causes a vision of the "shadow protocol". The thing is that the AI-controlled robot itself is a multipurpose tool. The same body can use for cleaning but also the military robot. The thing that determines the skills of the robot is the programming. So the term "shadow protocol" means that when the robot sees a trigger like the wanted person, that thing activates the attack programming in its computer. 

The robots can make an independently operating network. Or they can communicate and outsource the calculations to the computer centers. People think that drone swarms are regular things. 

The network of robots can interconnect the walking, swimming, and airborne robots to the entirety. The swimming robot can be like a torpedo that has arms. Or the man-shaped robot can have propellers under their feet. So the robots might not look like living organisms at all. 

The internet is like the fog that is connecting robots and computers to an entirety that can drive complicated AI algorithms. And also that entirety can share the data between their members. 

The most interesting thing for programming AI is how to predict to unexpected? Routine walking on the street is not a problem for the robot. The robot can use the GPS and camera systems for walking from one position to another. The camera can search the texts and then the robot finds the shop by using the text reading software. The robot should just know where to walk and how to step away. 

If the human doesn't turn away. The robot must respect the red light. And the other thing that robots must know is the regulations for traffic. In those regulations, the car must avoid a walker. And in real life, most drivers are following regulations.

But in some cases, the driver is not giving away from the walker. And for that kind of situation, the system must have programmed operational protocol. The fact is. That if some driver is dangerous the system must have changed to deny the bad things. 

The special situations are the thing that is causing problems for programmers. The robot is operating in a peaceful city serving people.  By going to shops and making routine work like cutting grass. Could see things like some driver will be drunk when that person goes behind the wheel. 

And the robot should react somehow to that kind of situation. Maybe a robot sends the data about that drunken driver to law enforcers. But what a robot makes if it sees the real danger like somebody is risking human life? The principle in robotics and AI is that the human goes always ahead of machines. 

But what if the robot sees the situation that the adult is attacking against the child. Or some other ways helpless people? Should robots have the ability to stop those kinds of actions? The thing is that this kind of extraordinary situation is causing problems for the people who are developing AI and robots. 

There are situations that regular people seldom see. But there is the possibility that the people see bank robberies or violent attacks.  The AI-controlled robots must prepare for those situations somehow. The thing is that an AI-controlled robot is a multitasking tool. 

And the same robot can deliver posts but it can also make surgical operations. Or even acting as SWAT police. The programming of those systems must prepare for that kind of situation. The fact is that things like accidents where the robot can give help are quite rare in the city areas. But what if the robot sees situations like car crashes? 

There is the possibility that robots could save a human life if they are going to help trapped people. The problem is that if that kind of situation is not determined. That causes problems in the cases that there is an accident near the robot. If this situation is not predicted in the program code the robot is just walking home carrying the shopping bags. 

If this kind of situation is not determined to program code. That makes programming easier. But if the robot is prepared for special situations that might make them more popular. And special situations are requiring more code that the robot doesn't need at all. 

https://aboutspaceandtech.blogspot.com/

We are living in an interesting but also the most challenging time in history.

The "black swan" thing is possible but extremely uncommon. When we are thinking about the changes in the environment we are facing the most interesting and at the same time the most challenging era in the history of humans and society. The internet is allowing us to share things very fast. And this thing is challenging because we must always be careful what we are doing.  We must handle many things that were not even possible a short time ago. 

The frame of the modern environment and the challenges that society is facing is climate chancing. But things like pandemics and the new weapon race and new members of the club of nuclear-armed states are making the environment more complicated than ever before. Things like hackers are also operating in the modern environment. And the new thing in hacking is that modern hackers are working under the control of the governments. 

That means that in the modern world of intelligence the agent is just bringing the computer to the country. And the hacker will use that computer by using the remote control from the homeland. That thing allows that the hacker can operate behind the firewalls. And nobody would ever punish that person because the hacker is working for some intelligence agency. 

Authorities should predict the use of hacking as spies. Because the internet is a good platform for that kind of operation. But for some unknown reason, nobody made anything to stop or denying that thing. The authorities trusted that the Chinese will punish the hackers who attacked western high-tech companies. 

Nobody predicted that behind those cyber attacks was the Chinese government. And that means hackers will never get punishments. And the reason for that is they worked for the military intelligence of PLA (People's Liberation Army). 

When we are thinking about the changes in the world we can see two megatrends in the environment. 

1) The network-based applications

The networks have a key role in the successful business. And the biggest opportunity is also the biggest threat. Social media is a good place for marketing because its a cheap and effective environment for P2P marketing. 

In that platform, people can share links to the homepages of the company. But the problem is that if everything is not what it seems. That kind of thing is also uncovering. So the facades are not enough. The entirety must be good. 

Public opinion has a great effect on the success of the company. The politicians who are making laws are dependant on popularity. When people don't like the politicians they are switching them in the next elections. And politicians are making laws. But even if the company is not breaking laws. 

Image II

2) The new business areas. 

The entire new industrial areas are coming. Those areas are things that seemed science fiction a short time ago. The most well-known thing that we are seeing is space tourism. In the beginning, space tourists are paying millions for their flights. But when the spacecraft is turning more common. 

That thing means that also regular people can go to space. The problem with space tourism is that the same systems can use also for military purposes. And the small-size space shuttles are suitable also for ASAT operations. The same systems that are taking people to the same can easily equip with microwave transmitters. 

That can destroy the satellites very easily. And this technology makes it possible that the nations like Brazil and Iran can make their own ASAT programs by benefiting from the technology that is made for commercial space tourism.   

The most chancing thing in the world is the ICT industry. The main role in the ICT business is turning from individual computers and local programs to network-based solutions. That means the complicated applications can use straight in the network by using the browser. So the end-user needs only the web browser for using solutions. Those are operating on the server over the network. 

The biggest advantage in the ICT industry is PHP (Hypertext Preprocess). That thing allows outsourcing the drive of the program code to the servers. And this makes mobile solutions possible. The heavy and complicated programs can drive on the servers in the data center. And that means the most complicated algorithms can drive over the internet by using mobile systems. 

Outsourcing heavy data handling to the computer centers means that the small robots can operate almost independently. The data handling capacity of the robots is always limited. But over the internet, that system can outsource the most complicated calculations and algorithms to the data centers where the supercomputers are handling those things. 

And quantum computers are bringing new visions. The quantum computer-based architecture means that the enormous calculating power of quantum computers can benefit the network. So by using the internet every people in the world can use the quantum computer from their desk or by mobile application. Remote use of quantum computers brings them in every pocket. The data is driven to a quantum system by using regular binary computers. 

End-user cannot see the thing that is making the solution. So the point of view of the user doesn't see the thing that is handling data. That thing is similar to the mobile system. Most of the data handling work is done by using supercomputers that are deep underground. That means the quantum computer is the next step in the continuum of remote data handling. 

But the internet is a challenging operating environment. 

Things like pollution and other things like slave workers can destroy the reputation of the company. Even if those things happen a long way from home. The ethical things in the production are turning more important than ever before. 

The fast-changing world is putting challenges for research and predictions. The unexpected things are making preparing for the future harder than before. When we are trying to predict what happens in the future we are turning into an environmental situation where we have so many variables. 

We cannot handle all billions of variables in the environment. And that means. We cannot make precise predictions for things that are coming in front of us in the future. In the modern world, information is traveling faster than anytime before. In the modern world is not so small actor that it cannot have an effect. Even the smallest actors can make huge damages if they can prove their words. And that thing means that only facades are not enough. 

When we are thinking purely about the modern business infrastructure we are facing the thing that we are facing new types of threats. But at the same time, those threats are big opportunities. A new type of business is coming. Network-based marketing in social media by using hybrid platforms are the things that are bringing a large audience for the smallest start-ups. Hybrid marketing means that the companies are using their homepages. The marketing staff is sharing links in the social network to their homepages. But then we are facing another problem. 

When we are talking about marketing we must ask: "how we make sure that we separate commercials and so-called "neutral information"? The thing is that the use of social media for wrong purposes is always possible. 

And social media is a good place for sharing "clean data". That term means that all negative things are removed from the data. When we are thinking about the neutrality of information. We must understand that in all things that we are facing in the real world has both good and bad side. So no case is not purely positive or negative. 

Image II:https://www.space.com/dream-chaser-space-plane-tenacity-tour.html

https://kimmoswritings.blogspot.com/

Facebook and dominance of the media.

The position of Facebook is dominating and that causes concern. Facebook is a well-known and commonly used service. And that thing causes that the information is starting to pile up in that service. That information contains data that we might want to hide. Facebook is a network-based service that can use for many purposes from marketing to intelligence. 

Facebook was down and the thing cost about half a million dollars per hour to that service. That shutdown has shown how dominating that service has been growing. Facebook is a powerful tool. It can use to track the networks of people. 

Artificial intelligence can show the network map of the people who are using that service. The data that travels between certain members of the network can show how often those people are contacting each other. There is a lot of criticism against Facebook but the fact is that everybody is using that thing. 

The attitudes toward Facebook are conflicting. People are criticizing that service because it dangers privacy. And otherways almost everybody is using it. The governmental and private corporations and actors are found that service. But the critics for it is caused because the users are making its content. So they are offering their work for Facebook. But otherwise, the paper magazines and especially the car and other hobby magazines are used the same method for making their content. 

The reporter came to take a couple of photographs of the hobby car made short writing and then return home. The builder of the vehicle didn't get anything. And the magazine was sold to people at a very good price. That is the thing that ever caused criticism. But the social media services are caused discussions of copyrights. There have been discussions of copyright, freedom of speech, and other things like that. 

The question is about the line of social media and its moderation. Who is making the limits for cheating and other things? Maybe we would not face those problems without social media. What is tolerated? And what is not tolerated? The thing is that in social media are many things that are causing discussions and what are a little bit uncomfortable for some people. But there is one thing that we must realize and that is would the world even know about things that Putin has made in his country without social media? 

When people are saying they must not read negative things. Because they want to keep fun they are allowed to do that thing. When people are writing to social media they are allowed to make those things by using the platform that they want to use. 

Maybe many of those writings are boring, but who cares. People have the right to celebrate. But otherwise thinking also boring people has right to write something. Nobody listens to boring people and maybe that is the reason why they must write something. If those things are boring people must not read them. 

Who forces us to spend time reading things like this? If you have read this text to this point that is your choice. You could spend your time by making something other things. So if you hate this text, I must say that choice was yours. I didn't force you to read. There are lots of people who are not social, they are not spending their time in a disco all day. 

They look boring so they can disturb somebody. That's why they are at home. But if you are in the disco and some other person would write something boring would you spend all the time while reading the texts what boring people are writing? Why you are not at dancing? Or maybe that thing is not my business. 

Image: Pinterest

https://networkedinternet.blogspot.com/

The banking reserve and financial policy

https://gamesandtehories.blogspot.com/

Kimmo Huosionmaa

When governments make their contracts of the structure like roads and buildings they act like other actors. Almost every budget in the building industry is calculated a little bit over the real costs, because of the unexpected catastrophes or disturbing the production. There is calculated the loss of building material, what can be replaced with new elements, and if the accident happens in the building site, would that replacement pay the contractor. 

But if there are no accidents, the money what is reserved for those replacements would leave to the bank accounts. Also, another reserve is made for repairings, but if there is no need for that the money would not be used. This would grow the money in the accounts, what are called the overbudgeting. 

The governments are working like big companies in this area, and one of the things, where that money is used is the financial buffer, what makes possible to make fast investments in the short period. This buffer is so-called "free money", and it is not connected to any special projects or other things. Why I'm writing about governments and corporations like mixing those things? The reason is that money buffers work basically the same way, are they governmental or private sector money. 

There is no difference between an actor in this case. And when we are thinking about the multinational corporations, we are facing the truth, that those corporations have very much money in their buffers. And if they want, they can use it in the thing, called currency investment. In this case, the investor would follow the value of currencies and then sell or change the money for another currency.  

Simply the way to explain, how this thing happens is to buy some currency, and then the value of the currency is rising that actor can sell that money for the better price. But normal way to use this methodology is to use the multiple currencies, what can give short period incoming and winnings for the investor. And if the investor would have billions of dollars in use, even the small change of the value of the currency would give big profits for that person. 

This requires the ability to follow the courses of currencies all the time, but the Internet would give the possibility for that. The change of the currencies value can easily to follow by using the Internet. This way to use currency as the merchandise can also cause the changes in the value of currencies. When somebody would buy money for billions of dollars, that will cause the raise if this targeted currency, and this is the way, where the investor would manipulate the value of the currency. 

If that would be translated into the normal language, that kind of investor cannot make losses, and in this kind of actions can this person use weak currencies. First, this actor would buy the weak currency by using dollars or euros, and this investor would use billions of units of money. And then this targeted currency would get more value. After that, the actor would just buy euros, dollars or yen, and then gets very much profit from that action. This causes, of course, the inflation in the weak currencies, but in this case, the thing would not mean. 

The reason why this kind of currency trader would choose weak currencies is that in this game would the thing, what makes profits is percents. If that investor can pull the currency up many percents, that person would get more profits. And if this tradesman would sell the currency or exchange it in the very short period of the time, would that give very good benefits. In the modern world, the computers can use to build the networks, where the sum would transfer by using many currencies, and that will maximize that profit.

In the future, we might see very devastating way to use the robots as the combatants

http://crisisofdemocracticstates.blogspot.fi/p/in-future-we-might-see-very-devastating.html

http://crisisofdemocracticstates.blogspot.fi/p/in-future-we-might-see-very-devastating.html