Unpredictable actions make human behavior hard to predict.

  Unpredictable actions make human behavior hard to predict. 

"To be, or not to be" 

98% of generative AI projects fail. The reason for that is that researchers try to replace humans. But is this the only thing that causes failures? Another thing that can cause failure is this: people try to use AI for purposes. There, it cannot operate. When we think. About those cases, there is always a possibility that people misunderstand. Things about what they should do. There is a possibility that people try to use AI as a tool that makes something impossible. And one of those things is. To use the AI. To make predictions about economics. 

Economics, psychology, and sociology are not exact sciences like mathematics and physics. The AI can calculate things like the energy levels of particles quite easily. If it knows all quantum fields. And all other things. That interacts with that thing. A psychological effect. Makes it impossible to make predictions about the economic advances. Human behavior is unpredictable. When we go out and say. We go for a walk. For 30 minutes. But we might not do that thing. 

Feelings and imagination are things. That allows us to make unpredictable things. 

We should always react to similar stress in similar ways. But we use only successful ways to respond to the challenges. If we don’t get successful feedback. We change the method. How to respond to the challenge. Every action that we do is a small challenge. When we cross the road, there is always a possibility that a car will hit us. When we walk to the shop, there is always a possibility that we slip on the icy street. That’s why there must be an alternative route. 

There is always a possibility that a burglar breaks into the shop, and the police keep the shop closed. Or the milk car can have an engine failure. Causing a lack of milk in the shop. Most everyday challenges involve a risk of injury. Or even die. If we cannot act right. If we just run to the road. Without caring about anything, there is a possibility that we run straight under the car. 

We can make a U-turn just outside the door and walk back in. We can change our direction for any visible reason. The reason why we make that U-turn could be that we just want to turn around. When a particle turns its direction, there must be some outside reason. The behavior of the particles and radiation is predictable. If we know the entirety. And the thing that makes us unpredictable is feelings. If we feel that we cannot accept something, we don’t do that thing, even if our sense says something else. 

This makes things like economics hard to predict. We should have knowledge of how certain persons react. In certain situations. But the problem is that we cannot know everything that the person faced during their life. And those missing parts can be the most. important things for that person. This is why it’s hard to predict how people react in certain situations. 

One of the reasons why behavior models are failing is that people hide data. Making predictions of the behavior of large groups of humans is much easier. When the group that AI uses grows. That means that the accuracy in the behavior of those people increases. But when we try to predict the behavior of a single person. We must collect all the data of them. We can see from that data how a person reacts to certain situations. If that person faces a similar situation. We can predict when. That person faces a similar situation again. That person will always act in a similar way in all similar situations if the way the person used was successful. 

The thing that makes us unpredictable gives us a big advantage over our competitors. The ability to make unpredictable moves and solutions makes predators hard. To track. And hunt us down. This is the ultimate ability in nature. Abstract thinking is the tool. That gives us the ability to make plans. That gives us the ability to operate unpredictably. 

Chinese highly automated dark factories.

   Chinese highly automated dark factories. 

Chinese dark factories are so highly automated that they don’t even need light. This is the future of manufacturing. Robots working in complete darkness. Those systems are controlled by the AI. And that makes the assembly process very effective. Human-shaped robots can make almost everything that humans can. 

An advanced machine learning toolkit allows operators. To teach machines new things. very effectively. The system needs only one robot. That can make something, and then that system can scale that new skill over the entire network. That makes robots very effective workers. And maybe those ghost factories are starting to operate in Western cities. Robot factories are interesting. Especially if human-shaped robots work in that factory. 

That is the thing. That makes the AI dangerous. The ability to teach one robot and then scale that thing to all robots makes it possible to teach robot armies very effectively. The same human-shaped robot that can make cars. It can act as a robot soldier. That is one thing that we must realize. The second thing is that kinds of highly automated systems can also make other products than cars. The new stealth systems require ultimate secrecy. And the robot workers are a solution to that problem. 

The robot worker doesn’t call the newspaper. If it makes something that is not public. Another thing is that the robot worker can change its role by pressing a button. Flexible CAD/CAM (Computer-Aided Design/ Computer Aided Manufacturing) platforms that turn the CAD drawings straight to the product. Mean that the system can change the product in minutes. The factory involves 3D printers and machine workers. Those systems can make everything. They have instructions and raw materials. Those factories can make cars, aircraft, and other robots. 

That kind of thing can make many things more effectively than humans. That means those systems are the ultimate competitors for Western factories. They can make products without brakes. And that makes them ultimate operators in the military and civil sectors. The Chinese government, like all other actors, might be interested about the robot factory as a military robot producer. There is a possibility that robot factories are installed on ships. and they can build customized robots or other robot factories if they have enough raw materials. Or the ability to search for raw materials from nature. 

AI-control robots are a good alternative for manned space projects.

"Artist's impression of the Dragonfly spacecraft flying over the surface of Titan" (Wikipedia, Dragonfly)

The biggest problem with missions to another planet in our solar system is this: flight times to planets are far longer than flight travel to the Moon. The only realistic place where we can travel safely is Mars. On other planets Venus's thick atmosphere causes risks. Of course, it's possible to travel to Venus and land on its highlands. 

But on the lowlands. The risk is that if the astronaut falls and damages the spacesuit the 600-degree temperature kills astronauts. 

The problem is that in a thick atmosphere, even small things like volcanic eruptions can cause very powerful pressure waves that can make astronauts slip. In those scenarios, the astronauts use the space suits or the suits made for blast furnace workers. Those space suits can equipped with HULC-style exoskeletons and the system can filter air from carbon monoxide. 

On Mercury. The sun's particle flow is dangerous. The astronaut who lands on that planet gets very high radiation doses. Mars is the only safe planet inside the asteroid belt. Or it is supposed to be safe. But the carbon dioxide ice pockets under its surface can cause the fall of the surface. And the sand devils the small tornadoes can cause static electricity that damages systems. 

"This artist’s concept depicts a small rover – part of NASA’s CADRE (Cooperative Autonomous Distributed Robotic Exploration) technology demonstration headed for the Moon – on the lunar surface. Motiv Space Systems in Pasadena, California, created the rendering and is collaborating with NASA’s Jet Propulsion Laboratory on critical rover and mobility functions. Credit: Motiv Space Systems, edited" (ScitechDaily, NASA’s AI Rovers Are Heading to the Moon to Explore Without Human Control)

There is also the possibility that astronauts dirt the planet and that can deny to detect the possible original lifeforms on that planet. If the shell of the spacecraft or Mars base is damaged it can deliver organic material all around the planet. That thing can cover remnants of past lifeforms like bacteria under them. 

But journeys to Jupiter and Saturn are too long. That takes too much lifetime of astronauts. Maybe there are no places where the manned craft can land. The four big Galilean moon's gravity is weak. There is also volcanic activity on the surface of Io. And other three moons have subsurface oceans. That means it's possible. 

That the landing craft will fall below the ice. Saturn is farther than Jupiter and flight time to that planet is over 5 years. Cassini traveled between Saturn and Earth for 6,7 years. The nuclear chemical rockets can travel that journey in about 2-4 years. But there are not any of them in operation. All atomic rockets are still in some planning stages. 

AI-controlled robots are a safe way to do planetary research. Those drones can fly or travel on the distant planet's or moon's surface. Flying quadcopter drones like NASA's Dragonfly that it sends to Titan moon can also dive in methane oceans and they can also operate in the gas giant's atmosphere. 

The AI-controlled robots can use the same programs as the systems that sort bottles to different lines. Geologists can teach those systems which stones they must pick. 

Those AI-controlled robots. Like AI-controlled Moon rovers are safer than manned spaceflights. They can be used as testbeds for civil and military solutions. The Moon is an excellent place to test programs and systems for Titan missions.  On Earth, those robots can also operate underwater and airborne. 

https://scitechdaily.com/nasas-ai-rovers-are-heading-to-the-moon-to-explore-without-human-control/

https://en.wikipedia.org/wiki/Dragonfly_(Titan_space_probe)

The AI makes aviation safer.

 The AI makes aviation safer. 

MIT created the AI that follows the pilot's behavior. That kind of AI is a so-called technical copilot, whose mission is to assist the pilot. Developers are making similar systems to cars and other transportation tools. The equipment to which AI has access determines its abilities. And the AI copilot is the tool, that can correct the errors that humans make. 

Many crashes happened actually after some other dangerous situation. When pilots first survive some close-call situation, they simply forget to make some routine maneuvers or release the landing gear. In the car, people can stop it and breathe. But in the air, the aircraft continues its flying after those situations. 

And in some other cases human error, like misunderstanding who should fly the aircraft while landing causes an accident. Or the communication between the copilot and captain somehow is misunderstood. 

"With Air-Guardian, a computer program can track where a human pilot is looking (using eye-tracking technology), so it can better understand what the pilot is focusing on. This helps the computer make better decisions that are in line with what the pilot is doing or intending to do. Credit: Alex Shipps/MIT CSAIL via Midjourney" (ScitechDaily.com/MIT’s “Air-Guardian” – AI Copilot Enhances Human Precision for Safer Skies)

In some close-call situations, pilots simply made mistakes and landed aircraft on the wrong airfields or runways. To avoid that kind of situation the airfield or runway must equipped with a communication system that uses laser or coherent radio communication that tells the aircraft the runway that it approaches. 

And then the copilot just pushes the stick, and the captain pulls it. Those situations could avoided by using a system that tells if the pilot and copilot are making opposite movements with control systems. The AI can have the ability to land aircraft at the airfield. If the pilot is unable to operate. 

You can search YouTube by using the words "wrong runway". There is a list of cases where aircraft landed on the wrong runway or wrong airport. It's possible to avoid this kind of case if there is a system that tells what runway the aircraft approaches.  

In some other cases, somebody mistakenly sends two aircraft to the same runway at the same time. And it's possible to avoid those situations by using a system that tells if there is another aircraft on the way to the runway. 

The system requires that all aircraft and flight control just communicate with each other. And then the automatized system just orders to slow rolling speed and wait until the runway is clear. The system requires that all aircraft know the real runway that they approach or roll and share that information with others. 

The need to create a system that can take control of aircraft during hijacking was seen in the 2001 terror strikes where hijackers flew passenger planes towards the WTC building.  If the aircraft is out of course, and doesn't follow flight plans there must be some other way to take control of the aircraft, than just shooting aircraft down. 

The AI must recognize if there is somebody else on the pilot's chair than the pilot. In the case, that the hijacking happens. The automatic system must just fly aircraft to the airfield and call law enforcement to take control of the situation. 

The automatized, AI-controlled autopilots can make biztalk with the airfield when the aircraft is closing. Then the airfield gives the values like closing angle and speed that the aircraft must follow. Same way. Things like wind direction and other important things, like cloud altitude, will sent to the aircraft. 

https://scitechdaily.com/mits-air-guardian-ai-copilot-enhances-human-precision-for-safer-skies/

Computing is hardware and software.

Powerful computing requires both hardware and software. 

Computing is the combination of hardware and software. Things like powerful artificial intelligence require lots of power. But they can make things like the internet more powerful tools in history. The AI can measure the speed of the internet connection and optimize the result. That it gives for that certain speed. And that makes it more flexible than regular internet. The idea is that the AI uses a similar protocol to PHP. The server drives the AI and it sends the result to the client. And that thing makes it possible to use AI by using slower connections and cheaper platforms like tablets and laptops. 

If we think about AI as a cloud-based solution that interconnects multiple different systems we can model the situation where the dynamic AI will call more platforms to assist it, when it cannot make the solution alone. That kind of system can use the reserves of the CPU of all platforms in the same network segment. In that model the computers share their resources, but only when another computer asks for help. 

When we are talking about AIs like ChatGPT they might be next-generation tools. The thing is that AI can interconnect things like mobile telephones to a dynamic-cloud-based portable computer. And that thing makes them powerful tools. The development of physical systems is important because they allow driving software. So only software is not making the AI. The powerful tool requires data connections and powerful computers that can handle data. 

The new AI bases the human brain. 

"Scheme of a simple neural network based on dendritic tree (left) vs. a complex artificial intelligence deep learning architecture (right). Credit: Prof. Ido Kanter, Bar-Ilan University" (ScitechDaily.com/Building a New Type of Efficient Artificial Intelligence Inspired by the Brain)

Researchers made a new type of AI-based tree-type model. The model is that the system builds the mindmap. Regular computer-based AI uses a linear computing model. But then if the AI creates a mindmap-looking data structure where it can interconnect the databases. The idea is that if the AI gets a keyword like "car", it searches everything that has connected to the car. It finds things like metals fuel and many other things. 

Then, the AI can increase the data mass by searching for things. With a connection with metals. And then if finds mining, mining equipment, etc. The thing that this kind of data system searches depends on the parameters that the AI uses. 

The human brain's purpose is to protect humans in any situation. And that makes them so powerful and flexible. 

The human brain is the most powerful computer in the world. It's flexible and able to make more things than any AI. The human brain uses fuzzy logic. And that makes it a little bit slow. And another thing is that the brain cannot make things like calculations with precise accuracy as fast as some computers. The purpose of the human brain is not to solve mathematical problems. 

The human brain's purpose is to guarantee survivability in all conditions. That is the thing that makes concentration difficult. The human brain's purpose is to observe the environment. We cannot fully concentrate on things like calculations. Our brain sometimes wants to see things, that happens around it. 

This is the reason why we should sit in front of a window. When the brain wants to check that nothing threats us, it can make that thing very fast. If we sit face to the walls. Our brains think that some predator is stalking us behind our backs. The brain is made to protect humans, and it still thinks that it's their mission even if we sit in a safe room and try to solve some complex mathematical problems. 

The human brain uses cloud-based solutions for making operations. Every neuron is an actual miniature brain that can process data alone. And the thing that makes the human brain so powerful is that it can interconnect neurons to structures called virtual neurons. Alone one neuron is not very powerful. But together, they are the most powerful machine in the world. 

Theoretically, we could make AI that is the same way powerful as the human brain. But that thing requires so many databases that it has been impossible. Until the  OPen AI introduced ChatGPT to the audience. The ChatGPT-based system can make those 300 billion databases theoretically quite easily. The miniature microchips called "intelligent sand" can use for making a neural computer that works like the human brain.  But those systems are far away from the power of the human brain. 

https://scitechdaily.com/building-a-new-type-of-efficient-artificial-intelligence-inspired-by-the-brain/

https://artificialintelligenceandindividuals.blogspot.com/

Chat GPT passed the MBA examination.

Chat GPT artificial intelligence passed the MBA examination. It could adjust its answers by benefiting from the tips that humans gave. That gives an interesting vision of the possibilities that AI has.

Of course, it is possible, that some people try to make their examination by using AI. In this scenario, the person will put the AI to make all work.  And then enjoy the results. But there is a possibility that other AI-based systems will uncover straight loans. 

There is the possibility that in the future, AI can make many things like data analysis and other kinds of work for humans or helps humans very much. There are needed humans. But their role is to check the results that the AI gives. That means AI can make mistakes. 

The AI as a data analyst is as good as the data sources are. If the AI uses uncertain sources, or those sources involve false data, the AI will not realize that, which makes it erratic. 

If the AI uses let's say, ten home pages. It uses the first home pages that it finds. And in the worst case, the data that the AI uses involves things like souvenir guides. And in the thesis, that kind of thing is not very impressive. 

If the thesis should handle things like the economic situation in the Mediterranean area, the AI should remove things like souvenir guides and fictional novels. The thing, that causes problems for AI is. How to confirm the information that it collects? AI is a very good tool for analyzing pre-processed data. 

But if the AI should search the data from the net, it should make a difference between fact and fiction. The problem is that the AI can collect data. But it doesn't understand what that data involves. The Ai knows that the data it collects fills certain parameters. But otherwise, it doesn't know the meaning of the data. 

AI is an impressive tool. But the problem is that it doesn't realize the data that it collects for users. It uses certain parameters for selecting texts. And one of them is this: the AI or its user selects. As an example five home pages. And then. It connects paragraphs from those pages. But then there is the possibility that those homepages involve data that has no connection with work that the AI should do. 

The error correlation, like how many times a certain world repeats on the homepage can help the error correlation. Still today, there are needed humans who check the information that the AI inputs or outputs. The human must control the data that load into the system. Or the users must check the processed information. 

https://www.nbcnews.com/tech/tech-news/chatgpt-passes-mba-exam-wharton-professor-rcna67036

Rentokil created "face recognition" for rats.

The same system used for detecting individual rats can use detecting many other things. That system can track the merchandise in the warehouses. It can see if somebody opened some boxes or boxes are changed. 

The system can detect the details of individual firearms. Every metal item's surface is full of scratches. Those scratches form the individual image. And the AI can use that image to detect individual firearms from all images it can see. That means the AI can track illegally sold firearms from the crisis. 

A New AI-based program can separate individual rats. Its mission is to find paths that city rats are using without the need to implant those rats. The AI-based recognition system can be connected to any surveillance camera. And the same system can operate with drones. That makes it very easy to detect the paths that city rats use. 

But the same system can use for predator research. That kind of system can detect individual predators. And if some predator like a bear or wolf attacks pets. That system can use to find that individual. And that allows targeting the force to that member of the pack. In this model, the camera takes an image of the predator that comes to the yard. Then other cameras can use to track that individual. 

That allows for minimizing damage to the predators. The problem is how to find individual members of the group. That makes damage or is dangerous. If hunters shoot all other predators. But that single one stays free. That means the damages continue. The image of that individual predator can load onto computer-controlled rifles that launch ammunition only when that individual harmful predator is in sight. 

The same system that use to recognize individual rats can use to recognize cars or vehicles. Even if the car is painted the system can inform how high percent is that the car is pictured in some other place. The system can detect if vehicles are used in prohibited areas. Or they can use it to compare images of firearms or other items. That allows law enforcement to track where criminals get their stuff. 

https://www.theguardian.com/business/2023/jan/21/rentokil-pilots-facial-recognition-system-as-way-to-exterminate-rats

https://likeinterstellartravelingandfuturism.blogspot.com/

A couple of words about COVID-19

The fact is that we are doing what we are doing. We cannot know what happens if we have done something another way. And that is the only sure thing. There is no way to predict what kind of case is the new pandemic. And another fact is that we can say one thing about this pandemic. The fact is that we should update our orders and laws to answer the challenges that this kind of thing will bring somewhere in the future. 

The regulations that COVID-19 causes will remove soon. But the thing is that COVID-19 gave a lesson. And we must analyze the data that is collected from this situation. The COVID-19 gave us the lesson that even we want we are not masters of nature. We tried to remove that virus and we must say that we had 80% success. But in the case of epidemics only one "red-actor" is enough. Only one person who is infected can start the epidemics. And that makes epidemics very hard to predict. 

So when the data is analyzed. We must try to figure what was a success. What went wrong. And what we should improve for the next pandemics. The strategy could be to deny that viruses can cross the border. But in this case, that virus can cross the border.  

We must have some kind of strategy for that case. The vaccines are preventing. The vaccine requires the virus that is used to make it. And laboratories cannot produce a vaccine against every virus on Earth. Another thing is that the virus has a very high ability to transform its DNA. That means that the next pandemic virus is not possible even exists yet. 

If the antiviral medicals cannot have an effect. There is only one method for people who are already infected. That method is so-called controlled epidemics. That thing should guarantee that there is enough nursery capacity for infected people. 

Maybe the next virus is uprising and are we wiser? The fact is that pandemics might turn more common when people are traveling to exotic countries. Things like artificial intelligence can try to predict what kind of virus or threat is coming next. And we can comfort ourselves that most of the viruses that are transferring between individuals through the air are coronavirus. 

The two-layer membrane and complicated structure are making the spread of the virus slower than deadlier filovirus. The filovirus is not transferring so long-distance as coronavirus. The problem is that the DNA or RNA of the coronavirus is harder to isolate than the single-layer virus. And that makes it harder to detect the new virus population. 

And the layer antigens of the virus can be the same in the outer core with COVID-19. But the inner core of the virus has different antigens. And this means that vaccine creation is difficult against those viruses. The fact is that nobody knows what the next pandemic virus looks like. 

The AI can detect new viruses or predict the transformation of the DNA by calculating the possibilities of how the base pairs of the DNA can order. So that AI can calculate the permutation of the DNA base pairs. But the problem is that the virus DNA can have different lengths and number of base pairs. The number of base pairs can change when the virus goes through the species. And even the best AI is helpless if it doesn't have the DNA for analysis. 

The virus samples must collect systematically that the dangerous virus mutations can detect. Or the better thing would be that the transformation of the viruses can detect soon as possible. And that helps to detect the viruses that can cause epidemics. 

In the case of fast-spreading pandemics. Is very important to start vaccine production. But the effect of the vaccine must confirm and it should be strong enough. If the immune reaction is too weak that can turn the situation worse. There is the possibility that too weak an immune reaction would breed the virus variants that are more resistant than the original virus. 

The journalistic attitude to those viruses is interesting. The thing is that the stories where people are turning zombies are not very nice to read. And the worst thing in the case of pandemics is the panic. When people are starting to pack in the same space they are not able to keep safe distances. 

If there are vaccines people should take them or they mean nothing. The vaccines are like lifevests. They are effective only when people are taking them. If people do not take vaccines,  well the vaccine in the freezer does not have an effect. If there are vaccines and people don't want to use them. There is nothing that researchers can do. 

That means the virus is infecting more people than otherwise. The last thing is that there is no power of limits and orders. If people are not following orders they mean nothing. And that is the thing that we must realize when we are defending ourselves against pandemics. 

We can make nice models and simulations. But if we cannot turn them into practice those exercises and models mean nothing. Following those orders is also important. The plans might be good. But if the practice fails that means that the operation fails. 

https://scitechdaily.com/18-months-of-the-covid-19-pandemic-are-we-doing-anything-right/

https://scitechdaily.com/ai-may-predict-the-next-high-risk-virus-to-jump-from-animals-to-humans/

Image:()https://scitechdaily.com/ai-may-predict-the-next-high-risk-virus-to-jump-from-animals-to-humans/

https://thoughtandmachines.blogspot.com/

The intelligent entirety needs new solutions. But those solutions have not only bright sides.

In the beginning, I must say that the negative things of AI are a highlight too much. The same thing was seen on the internet. The internet and AI are the biggest opportunities for people. Things like the use of land area and how society handles its garbage is the important thing. But in this case, the object is in the AI and synchronizes the society to the harmonic entirety that is effective and less pollutive. 

The city is the entirety that connects people, traffic, and things like houses and governmental, communal, and private organizations together. The thing that dominates synchronization of this kind of entirety is the information and the ability to handle the information collected from different sources. And that means the infrastructure must support the information system. And the information system must also support the physical entirety for being useful because only useful things get financial and political support for turning real. 

The biggest opportunities are things that can make society an easier and better place to live. The same robots that can make surgical operations remotely can act as remote control soldiers. Robots are multipurpose tools. 

They can give the greatest opportunities for people if they are serving good. They are bringing hope. And they are same time a threat.

 But the same things can be seen in the other technological advantages. The old fashion technology produces carbon dioxide that causes climate change. About the development of the entirety of society is needed new winds. And new ways to think. Those things are needed just now. 

The AI-driven entirety and the effective solutions are in a key role in the society of the future. But when we are making things. We must remember that the same systems are made for making the environment safe. Can use as a tool against us. No technology has only positive effects. And that is the thing that we must realize when we are developing new things. 

The bright future requires new solutions and new ways to think. Climate changes are giving new challenges to the global environment. One of the answers for saving energy is to use intelligent solutions like non-stop adjusting ventilation systems in the building. Also, things like intelligent traffic control will minimize emissions are one of the things that can slow down climate change. 

The idea is that when people are leaving their homes the temperature would drop. And at least in the long period, the energy use in the department is dropping. Artificial intelligence can do almost everything if it has the right tools for controlling its entirety. But the question is where artificial intelligence will get its electricity. Complicated systems require complicated code. 

And only the most powerful computers can run the code that connects the large-scale environment for the dynamic and environmental-friendly entirety. Only quantum computers can make dynamic entireties where are trillions of variables. The idea of this dynamic entirety or AI-driven city is that the data is collected from multiple sources. And then the system would make its adjustments. Technology is one thing that could help in the social problems. 

The thing that makes people like Elon Musk introduce to turn boring and poorly valued works to the robots is also caused criticism. What would those people do, if their work is transferred to robots? Things like clean-up and other things. Are made by migrant workers. And that thing has sometimes caused opinions that those poorly paid works are kept as an example or warning what happens if the person would not educate themselves or make crimes. 

The problem with robot workers is not technology. The problem is in the attitudes. And the fact is that people who are working in clean up and other kinds of sectors are not living by their salaries. The problem with artificial intelligence is that it brings new threats to society. The hackers can reprogram the intelligent car that it would use only one brake. And that thing causes dangerous situations. 

Or they can increase the temperature in the buildings by breaking in the control system. Also, things like killer drones are maybe already in the hands of criminals. The simple killer drone is the quadcopter there is a pistol and launching mechanism. The ultimate tool is also the ultimate threat. The quadcopters are multipurpose tools. 

They can find out thermal leaks in the buildings. And the same systems can search for missing persons at the same time. 

They can wait on the roofs for orders search for lost children. The quadcopter can send its image to the image-recognition system. They can observe things like are the city areas clean or is somewhere fire. But they can also be used for horrible purposes. And this is the thing that we should realize. The same technology that is made for protecting us can use against us. 

In the AI-driven society, the key element is a safe data network. The internet is in a key role in making the entire work in harmony and effective entirety. If we are trying to move our society to AI-driven we should make the quantum network. The reason for that is that the modern internet is not safe enough. 

The hackers are not striking the quantum computers or quantum systems. They are striking the connection between the quantum computer and the regular network. So the target of the hackers is the binary computer that drives data to the quantum system. Climate change requires new solutions that interconnect multiple taskers to environmental and social entirety. 

When people are developing thing AI they must realize it. That in those systems is same time positive and negative effects. The same systems can serve civil and military authorities. If the system knows where people are and what they will do next. That thing is a bad thing for privacy. But what if you would get the information when the nearest shop is rush hour? Would you rather do something else than stand in rows? Or maybe some people want to spend their time in rows. But some other people want to do something else at that time. 

The effectiveness of the AI depends on the accuracy of the data that it can get. If the person would tell the AI the plans before going to the supermarket or shopping center, the AI can plan the route of that person. But AI requires the information that the person is willing to buy. And also, things like budgets are needed to get if the AI wanted to be effective. 

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

How are the algorithms advancing?

How are the algorithms advancing?

The thing that limits the power of the algorithms is the infrastructure. If we want to make artificial intelligence that operates in large areas. That thing requires powerful hardware. If we want to make a robot car that can operate in so-called natural environmental infrastructure. That requires more complicated artificial intelligence algorithms than people even believe. 

If we want to put a man-shaped robot to sit in that robot car and put it to go shopping for us, that requires even more complicated and heavy algorithms than the car, which operates in the highway environment where are strict orders and everybody follows them. When a robot walks on the streets it requires so-called fuzzy logic because there is the possibility that it faces the person who is not following orders. 

If somebody will not care for the robot or tries to the robot. That machine is needed to make the protocol. The robot can meet things like children, who would not notice it. And for those cases, the robot requires algorithms, what to do. 

The special cases or special situations are the most complicated for programmers. Maybe any person would not face the robberies in their lifetime, but what the robot must do if it faces a violent situation? It can send the image and data to police but should the robot act against violent people? And what kind of force it has the right to use? 

In the case of robot cars, there is the possible use of traffic laws as the basis for the algorithm. Or in the limited areas operating robots is possible to create the protocols for most of the cases. 

There is the possibility to link a large number of computers and sensors to a large entirety. In that network, the static and moving systems are connected to the neural network. 

Sensing entirety is an interconnecting network of robots with cameras and other static systems. In that network, all members of it are cooperating and share the data. And that makes its entirety flexible. 

That means that vehicles can cooperate and they can get data from the traffic control cameras and computers. If all robot vehicles and robots are equipped with RFID-system. The radar can locate every each of them. And the data can connect to the entirety. This makes the system more flexible and powerful than ever before. 

Virtual quantum computers are the potential systems while waiting for real commercial quantum computers. 

Outsourcing computing is one of the answers to the problems of computer power. And virtual quantum computers are making regular binary computers faster and more powerful than ever before. In that case, the program is cut into pieces. And those pieces send to the data handling units. Because in virtual quantum computers, all systems are handling a small piece of entirety separately. That thing makes the work of the processors lighter. 

Same way acts the virtualized quantum computer. The system shares the work between many central processor units. 

When the entirety is shared between multiple processors. That makes them work lighter. Because every each of the processors is handling shorter code lines. That means the work is done faster than in the case. That the system would run the entire code through one processor. 

Sharing data between multiple processors are making the work easier and lighter for each processor

The model of virtual quantum computers.

Image 2. The model of virtual quantum computers.

1) Routing unit

2) Data-handling units

Arrows are the data flow in the computer

The routing computers share data from calculation units to other calculation units by using TCP/IP protocol. The system would share the data from the row-moving data segments to linear data segments. The would connect the code to the ends of the data frames and then the data is sending to the calculation units in segments. The calculation units are the regular binary computers. And the ability to share the data entirety with many computers at the same time will increase their power. 

The idea is similar to in the classroom the teacher orders students to copy the text. If all students are copying the entire text that thing would take a long time. But if there are 27 pages in the text. And every each of the student groups of 27 students is copying one page that process takes a shorter time. In that case, every student must copy only one page of the text. So sharing the work is making it lighter. 

Same way acts the virtualized quantum computer. The system shares the work between many central processor units. 

When the entirety is shared between multiple processors. That makes them work lighter. Because every each of the processors is handling shorter code lines. That means the work is done faster than in the case. That the system would run the entire code through one processor. 

And that makes the system faster and more effective than regular systems are. 

This thing can be a useful tool while waiting for real quantum computers. The thing is that the virtualized quantum computers are less sensitive to things like cosmic radiation. They are regular computers that are linked together in extraordinary ways. 

The internet makes it possible to link even quantum computers with robots. And that thing makes them more intelligent and more independent than ever before. The fact is that nobody even knows the power of modern computer systems. And even the regular binary computers can be faster than we expect. 

()https://scitechdaily.com/computer-science-how-quickly-do-algorithms-improve/

Image:()https://scitechdaily.com/computer-science-how-quickly-do-algorithms-improve/

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

The future of the business is AI-driven.

AI can support business and business architecture in many ways. Turning companies AI-driven is easier than trying to turn society like the entire city to AI-driven. In companies people working at least in theory voluntarily. And they are following rules and regulations voluntarily. The best thing about AI is that it can follow orders and sort data very effectively. 

The AI-based bookkeeping can see if there are problems with some customers. It can follow that the payments that should do. Are truly done and it can follow are payments from the customers sometimes late. And especially if the payments are simultaneously late that data is interested in the managers. And if some customer is somehow problematic. The AI can tell also that kind of thing. 

In the case of a problematic customer, the most important thing is to find out what makes the customer so problematic. When we are facing a case where the customer sends reclamations very often. We must find out are those reclamations true. Sometimes customers are giving unnecessary reclamations but sometimes own customer service is bad. And the thing is that in the case where the person is starting to explain. 

Why some customers are not satisfied, there is a possibility that people are telling things other ways than it goes. They might forget that they said something that should not say. Or they might tell about things that should not tell outside the office time. And if the beginning of the conflict is outside the working time there is a need for very high courage to acknowledge to confess that kind of thing. 

If some customer service operator has spoken bad things about customers outside the working time in some restaurant or bar. That can cost the career of that person. So would you believe that the person who has many benefits in the working life wants to confess things like bad behavior or threats? There are also cases that salesmen are selling goods or services at too low prices. 

And when the bills are coming, that causes problems. So that thing can cost the entire career of the person. When the boss is kicking that kind of person out there is many things. That is coming to the mind of that customer service person. And finding out truth and lies is important to record the discussions. The AI can also send information on the prohibited promises and illegal activities like threats or things like racist speak to the juridical section and government officials.

If there are problems with things like telephone behavior the AI can make the report of that thing. It can also follow things like what kind of words are used in the telephone discussions during work time. And the best thing is that AI can close the computers and telephones when the work time is over. That company that owns the data handling tools has the right to prohibit the use of the company's property outside the working time. 

And if there is no working time the systems can be closed. And the remote work and overwork should be contracted before they will start to do. The workers should buy their computers and mobile telephones for personal use. Prohibiting and denying the use of the company's computers and telephones on the outer side of promised working time is the thing that denies the possibility to do "fake overworks". 

The fake overwork means that persons just playing computer games and salaries are coming from overwork. That is not done before. Denying the use of the company's computer in free time and limiting the use of it. Makes also it possible that the user would not load it full of pornography or some illegal material. In that case,  all data used with the company's computers travels through the company's server and firewall by using VPN. That filters prohibited homepages and help to focus the work.

If people who work in the company are not following those rules. The managers of the company can divorce them. The term artificial intelligence can mean many things. It can mean the learning system. Or it can mean an interactive system. The interactive management system is the thing that reminds people that they must do something. If the interactive calendar is connected to a mobile telephone. That can remind people that there are things to do. That kind of application is Google Calendar. 

But the calendar can connect with the voice synthesizer and if the person uses the handsfree that can say. That user has some markings in the calendar. The effectiveness of that kind of system depends on how much data it can use. The interactive management calendar can also have data if there are some phone calls to call. And it can observe are they done as they should. The artificial intelligence can follow the speech during the competition and if there is something that should not be like threats or promises that are not allowed to make, it can tell that to the manager. 

The idea is that the system also follows that the things that should do are made as they should do. If we are thinking the artificial intelligence as and following the working time. Well, we know that sometimes people are late. But if the person is always late or the miss of the time to come to work is very long that thing requires explanation. So the system can ask the reason for that. And if the problem is some kind of accident or traffic problem the AI can check those things. The easiest way to make that thing is easy. 

Traffic control and transport operators will send the disturbing of traffic to the companies automatically. In the simplest model. The users who need that data can order the newsletter where is the data about the unusual things in the traffic. The problem is that secretaries must also remember to see and write that data in the forms. And they have also other missions. 

The updates for the bulletins for problems and changes that are reported in those homepages are made by using some kind of form. When the updater will fill the form. It also sends the data to the email for the people and organizations that order those letters. When the data is input in a certain form it can easily drive to computers automatically.  Those letters would download to the server. And the system can check if the excuse is true. The system can also ask at the beginning of the week. If there is some predictable being late or need to go earlier. 

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

China is planning to create over a kilometer-long spacecraft.

Above this text is an image of the Chinese modular space station. The planned modular structural "Tiangong"-space station is an impressive plan. That is possible to make by using existing technology. The modular structures are also used in the ISS-space station. Similar modular structures can be used in spacecraft. The difference between space stations and spacecraft is that the spacecraft can use various trajectories or return to the Earth. 

The space station uses fixed trajectories. It cannot return home in one piece. Artificial intelligence-based automation makes it possible to make the structures that are combining those structures by using the small modules that can dock themselves together. And that thing is forming the large entirety. The computers of those modules can also act as supporting life-support systems and they can run artificial intelligence that mission is to find the leaks and damages from the systems and structures. 

The system can use RFID chips for observing leaks. Those RFID chips are released to the cabin. And the direction where they are traveling uncovers the leak. Also, things like artificial bugs can use to uncover the damages in the electric wires. And other things that are important for the missions. Those robot flies or butterflies can search for things like fungus or damaged insulators. They can also observe the crew and send the data to the command center. 

The large-size space stations might be the gate to more ambitious space projects. And one of those hypothetical projects is the so-called "O'Neill cylinder". The giant space station where is cultures for vegetables and what can offer the door to the colonization of the entire solar system. 

In some visions in the future, in our solar system travels "artificial worlds" or O'Neill-cylinders. Giant space stations are filled with cultures which purpose is to make nutrients for the crew and passengers of those traveling worlds. Those O'Neill cylinders would use the planet's gravity fields to keep it in course between planets. And the idea of those traveling space stations has been coming from the Troyan asteroids. 

The kilometer-long space stations can act as the simulators for O'Neill cylinders.

The creation of the kilometer-long spacecraft can simply make by docking the cylinder-shaped spacecraft together. That thing requires only that there are enough those cylinders in use. In the modern version of the modular spacecraft, those cylinders can launch by using separated launches. And when those cylinders are returned to the Earth they can simply separate from the structure and then return to base by using parachutes. 

That kind of system requires a large number of launches. The modular structures that are planned to use in this kind of project are the most conventional way to make the large spacecraft and space station structures. 

This type of spacecraft is not so difficult to make as people normally think. By using modular structures like rocket stages that can connect in space there is possible to make extremely large-size spacecraft. The idea of the modular space station was introducing by Wernher von Braun. The original idea was to connect the rocket stages of the Saturn V rocket. Those stages planned to launch separately by using their rockets. So every part of the space station has its launch vehicle.

 And each part would launch independently. The rocket stages would equip by using airlocks. And the vacuum would remove the fuel and oxygen from the tanks in the orbiter trajectory where those parts will dock together to large entirety. That system bases on old-fashion technology. The new version where is used the shuttle technology where the parts can reuse allows making the kilometer-long spacecraft what can return to the ground. 

In that vision, the re-usable rockets are launch to orbiting trajectory. Then they can dock together. And when it's time to return home that system will separate those rockets and they would make the independent landings. That kind of system can be extremely long. And docking the tanks to the series. Is not so fundamental that it requires a new type of technology. But anyway, those Chinese systems are impressive-looking plans. 

()https://theconversation.com/chinas-tiangong-space-station-what-it-is-what-its-for-and-how-to-see-it-160456

Image I():https://theconversation.com/chinas-tiangong-space-station-what-it-is-what-its-for-and-how-to-see-it-160456

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

The purpose of the life of every single ant is to serve the entirety.

The ants and their way to work as a group are some of the most fascinating things in nature. The ants are acting as models of the nanomachines. And the behavior of those social bugs is causing a misunderstanding the queen dominates the population. 

The role of the queen is centric, but it's not one-way. Also, the workers are important and if the queen cannot fill its role, the workers would not feed it anymore. The interaction between queens and workers means that the ants are like superorganisms. 

That organism would consist of individuals but every individual is acting for the population.  The entirety is more important than a single individual and that thing means that also queens have duty work to do for the group. The reason why ants are interesting is simple. One individual ant is quite harmless. But if half a million ants are coming to place, that thing can make an impression and affect the biggest animals. 

But the interaction between workers and queens is not one way. Every single ant in the group. including queen is serving the entirety. Every single ant in the population has a certain role, and the role of the queen is to make more members of the society. When the queen doesn't make eggs anymore. That causes that the workers would not feed them anymore, which causes death. So also the queen has the role of serving the entirety. There are always many queens in the nest. That thing guarantees that the population would continue its existence. 

Image:()Pinterest

The robot society works like ants. 

The "Von Neumann"-robots or self-replicating machines can make the base ready for the crew before the manned flights are landing on the other planets. In "Von Neumann" robot society are the robot factories and the worker robots. The model for that thing is taken from the ants. 

Ants are given the model for the robot population which can make new robots automatically. That kind of robot group can be called the population of "Von Neumann machines". In that model, the group of AI-controlled robots is acting like ants. The entirety would consist of the factory robots which role is the same as the queens have in the population of ants. 

And the worker robots that are taking raw materials like minerals to those factories. The mission of those robot factories is to make more worker robots. And the same systems can use to make the parts of the new robot factories. These kinds of robots or robot groups can operate in space, on the planets, or under the surface of planets. 

The model of those robots is taken from the ants. And Those kinds of systems might be the things that are making the first bases on the other planets. The idea is that the Mars base is ready to use when the first astronauts are coming. So before the crew is landing the robots are making the structures ready for the crew. 

Image:()https://metro.co.uk/wp-content/uploads/2020/04/Artist_impression_of_a_Moon_Base_concept-7fc7.jpg?quality=90&strip=all

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

Can we control the development of artificial intelligence?

The problem with controlling AI and its development is that the technology behind that thing is open source. The AI is in the center of the ICT development and the entire ICT infrastructure is different than any other business area. 

The development tools for making the new software have a very low price. And everyone can learn programming languages. That means the R&D (Research and Development) process in the ICT and especially the software development is extensive. 

Many of the processes in the ICT industry is not controlled by leaders of the corporations. They are lead from the "downstairs". And the thing is that AI is starting to develop itself. The development process of AI is always similar to the other development processes. 

1)Assay or recognition of the need to make something different. 

2)Planning how to make those changes

3)implementation or making the thing real

4)Testing how the changes will act with the existing platform

5)Maintaining making system more and more effective

And finally... 

Make another assay for the new system. And begin the development process again. The thing in the ICT sector is that the platforms must develop all the time. Whenever somebody has created the "perfect system". There is always the competitor who is making a better system. The non-stop development process is one of the things, that are making the company successful. And of course, to markets must offer better and new products. 

In the world of artificial intelligence, the need is to make new and more complicated solutions for making things like data security better. And that brings the race between hacking and data protective tools. But the artificial intelligence doesn't work only in the sector of data protection. The term artificial intelligence means only the learning machines. 

Artificial intelligence can test many types of passwords. The development of quantum computers means that more and more complicated code can run on new platforms. And the power of quantum computers means that every data security algorithm must renew. 

But if artificial intelligence develops itself, it can observe things, how it makes something. Then if the operation fails the system makes the report where the failure is. And that report can use for making new abilities for the AI.  But the self-developing AI can use the selective system for analyzing the reason why the system is ineffective. And then it can search the solutions for the failure by using a search algorithm.

Polish novelist Stanislaw Lem predicted drone swarms in his novels "Peace on Earth" and "The Invincible".  

The new system can be that the quantum computer is acting as the central processing unit. And the binary processors are operating the subsystems like quadcopters. The quadcopter swarms can operate under the control of the quantum computer, and each member of the drone swarm can deliver the data to the central processor and also with other drone swarms. 

In the novel "Peace on Earth" Stanislaw Lem introduced the idea of the self-developing armament. That prediction is now true. The creepy laugh of that writer is echoing all around when he sees the advantages of nanomachines and AI. In the novel "Peace on Earth" Lem introduces the system that contains two artificial intelligence blocks. The developing simulator. And then the selective simulator. 

The developing simulator is developing the system or weapons. The selective system goes to fight against those weapons. The system works by using the method that when the developing system is making the system, the selective system tries to find the weaknesses from that simulated system. Then it makes the report what thing was wrong. And then the developing system is making the repairings. 

In the novel "The Invincible", Lem predicted the nanomachines or drone swarms. Those systems are cheap to make and if one part of them is destroyed. The replacement part of the entirety is easy to make. In that novel, the enemy of the starship "Invincible" was the drone swarms that are forming the entirety that was AI controlled. Those drones could be quadcopters that were made in the robot factories. Those drones used microwave systems for terminating enemies. And here I must say that the technology on Earth is high enough for making that kind of drone swarms. 

The data handling process with the hybrid computing system is that the main processor unit will be the quantum computer. And that system is interacting with binary processor-controlled drones. But that drone swarm can also be independently operating entirety. This kind of artificial controlled system might be the biggest opportunity and biggest threat at the same time. The possibilities of AI are limitless in the productive and destructive roads. 

()https://visionsoftheaiandfuture.blogspot.com/2021/08/can-we-control-development-of.html

Why calculating the clicks in the net is problematic?

The problem with the indexing system of the Internet is that it calculates only the clicks that homepages can get. And that thing means that the popularity of the homepages is determining the place where the homepage is in PageRank. The number of clicks is easy to fish by using some so-called "cheap methods". That means that the jokes and other things are increasing the clicks to the homepages. 

Some advertisement agencies are invoicing the customers by calculating clicks to their homepages. And that thing can cause very high bills. Because there is the possibility that the homepages are auto clicked. And if the hundreds of homepages are clicking the target all the time. That causes even millions of clicks per day. 

The system is calculating the clicks. And it would not even follow how long people are staying on those homepages. That thing causes that the people who are working in the service providers which payment bases the number of clicks. Is sometimes blamed that they are clicking the homepages of their clients. And that thing causes an increase in the bills. 

The problem is that the interest of advertising companies is not the same as the owners of the products or services. Advertising agencies need the clicks and that means for them is the same where those clicks are coming from. The automatic clicking system for a certain IP address is easy to create. The Chatbot can modify for auto click system very easily. 

When the person opens the program and then writes a certain home address, that will activate the loop that creates multiple clicks to the target. Or hacker can write that program by using C++ or some other programming languages. And if the system uses a fixed target address creating that program doesn't take a very long time.

And what people are thinking of the product is the same for those companies. There is introduced, that the AI-based system that follows how long the user of the certain IP address is spending in the homepages could be compulsory. And the system should detect does that user makes anything on the pages? That thing can make the system possible to eliminate the automatic clicks. If they are coming from a certain IP address. 

And if some programmer makes the series of homepages that are clicking targeted homepages that thing causes many clicks to targeted homepages. In those "auto-click" systems there is the number of homepages that are linked to entirety. And when one of those homepages gets a click it sends it forward. 

All others that are in the entirety are sending the click to the targeted homepage. That code is easy to find on the Internet. And it's made in PHP because the platform of the homepages may change. Sometimes that causes the change of the IP or the net address of the homepage. 

Or maybe the owner of the homepages is changing its name. And the customers must find the new homepages. So in the old homepages is made the code, that automatically transfers person to the new homepages. There is the possibility to make the code. That closes the tab while the system clicks the user forward. And that makes this kind of code-trap hard to detect. 

There is a possibility to create a series of homepages. That is sending the clicks to a certain homepage. When the user clicks some link, there is series of homepages and the user will "travel" through those homepages, that are automatically click to the next page. And there is a code that sends the clicks to targeted homepages. That thing rises the place of the homepages in PageRank. So the popularity of the homepages means more than the thing, what those homepages are involving. 

PageRank favors the well-known homepages. And what is the thing means? The homepages that are used for marketing the well-known products are getting more clicks. Or actually, the thing that is rising the position of the homepage is that people are clicking it.  The place where the homepage is in the PageRank means very much in that case. 

When people are searching for some product or service, they are not clicking too many homepages. They spend about 15 seconds on those pages, and if there is no response they are hitting the next homepage. That thing happens especially in the case that everyday products or services are bought from the net. When people are searching for things like clothes they are searching for well-known products. 

()https://visionsoftheaiandfuture.blogspot.com/2021/08/why-calculating-clicks-in-net-is.html