The AI that beats humans is at the door.

Mark Zuckerberg says that he wants to create an AI that is more intelligent than humans. The AI can have better cognitive skills than humans because they learn differently. Every skill that the AI has is like a macro in its memory. There is no limit for the number of those macros, or automatized actions that the computer stores into its memories. The limit is the memory storage. The AI will not forget humans. That makes it possible for the same robot can cook. 

Clean and make almost limitless numbers of operations without errors. If we want to make the AI that makes food for us we must create a huge number of variables for that thing. But there can be a shortcut to that problem. The AI can involve certain modules. So, if the user wants meatballs that AI downloads the meatball algorithm and databases to the robot. That makes it possible to make the system operations lighter. The databases or datasets can be created separately. 

Cognitive AI means that it can create a dataset independently. And for computers, each dataset is a certain skill that it has. 

The AI is the man-created alien. Are aliens already here? The fact is that if Mark Zuckerberg wants to build AI that is more intelligent than humans that thing is an alien. Human-made aliens are things like genetically engineered species and artificial intelligence. And then we can ask is artificial intelligence really intelligent? Can it think? The AI can do many things. It can advance its skills and it can learn from other AIs and from films. Turing’s test is the thing that measures the AI’s ability to think. 

The AI can mimic humans. It can transfer all movements that humans make to the human-shaped robot. That thing is the thing that makes the system seem intelligent. The cognitive skills that AI has made it possible to create learning systems that can control robots on the ground following certain parameters. When a robot fails in its mission the system also knows what it should not do next time. The physical robots are good subjects for modeling the cognitive systems. 

The AI can learn autonomously by using the same methods as humans. If it fails some mission that means there is an error. The cognitive system learns by using a method there failure means that the system must not try that thing again. Learning by mistakes is easy to explain by using a model where the AI controls a robot group. There are let’s say 5 paths that the robots can use for traveling from point A to point B. That AI sends a robot to make its mission. When a robot fails like falling into a canyon the system learns what it should not do with the next robot. 

The system creates the model of the landscape and then it creates the model of the path that the AI selects for the robot. When a robot succeeds in its mission the AI stores the data about the environment for the next time use. The system can also store the data about failures so that it knows what it should not do. Failures are also important for developers. The robot makers need knowledge about what caused their product failure. 

The robot should know how steep the slope the robot can rise. When we talk about robot success and things that the robot should not do, we must realize that the robots cooperate. The human-shaped robots can cooperate with flying quadcopters that send data about the landscape and other things that those robots require. 

But then we can think about AI as a mathematician. The system must also recognize the mission that it has. When the AI recognizes the mathematical formula, it can connect the data that it collected to that formula. The problem is this. If the mission is not well-explained AI will not simply understand that work. The AI must dare to say that thing. If the mission is not clear the AI must not try to make anything. The main problem with learning systems is this. They simply connect a new subprogram or macro in them. And that makes them look very intelligent. But the main question is: can that system think? 

For computers, every skill is a database or dataset. A learning system is described as a system that can get new skills and then link those skills with other skills. Or, otherwise, we can say that the self-learning system can create new datasets and link those datasets with other datasets. 

It can connect data and data frames into one entirety. But the fact is this. The AI simply mimics subjects. It seems that the subject makes something, and then the AI makes the same thing if it faces a situation that matches that case. But we humans also learn from mimicry. When we see that the teacher makes something at the front of the classroom we can mimic that thing. 

When we learn something new with teachers we simply mimic things that the teacher makes. And then we store that data model in our memory for the next time use it. That is the rigid model. The rigid model includes basics for some computer skills. And then we must simply connect that model with other things. This ability to interconnect that new model with other things makes it flexible. The model turns into a thing that is like an amoeba. 

The system can connect that new model to many other skills. When we talk about things like image processing programs, we can also connect skills that this program requires with things like writing skills. The fact is this: the AI must not do everything that the user wants. It must have the possibility to refuse to follow orders if the user wants to use it for criminal activities. The other thing is that the AI must have certain orders for what it must do. The AI must have the ability to use virtual models on the screens that it really makes when somebody gives certain orders. 

When we think about cases in which the robot acts as a mover there are some human-shaped mannequin statues that can cause a bad situation. If the mannequin statues are not well described to robots, that system can also transport humans to the lorry. In those cases, the AI must know all the details about their subjects. They must know that the mannequin statues are plastic and other details. 

When the most advanced tool becomes the enemy of advance.

Why...

Above this text is the image that is not made by using AI. I took that image yesterday evening. That thing required a little bit of trouble and time. Walking into that point, taking my cell phone, and taking that picture took time. When I looked at that picture I realized why people use AI in many things. AI offers easy things to get the job done. That easy tool allows people to make thousands of lines of code in minutes. 

That is possible if the person uses some code libraries. And that makes a person effective. But that thing is not good for advancement and innovation. Also, that way of making programs is not good for data security. If some hackers get those code libraries that allow them to break the systems those codes are used. 

We know that thing. But we ever ask why person makes that thing? Why does that person use libraries and copy-paste? Why that person uses code, that somebody gave to the hard disk? The answer is this something forces a person to make things like that. The nice, well-done code in the hard disk makes work effective. And we can say that generative AI, large LLM, or whatever we call that thing is only to those libraries. 

We can be effective and always use that method to make things. That can make an impression. But then we can say that this method doesn't allow us to advance our programming skills. And that means the AI kills productivity and skills. But is the AI guilty? 

Do we bark the wrong tree? Should we prosecute the need to be effective for that thing? People use AI and code libraries because they have no time to learn things. People are so hurry, that they have no time to learn things. And if they make mistakes they are fired. That forces people to use AI. 

The biggest problem with algorithms is they use existing information. They don't call any telescopes or particle accelerators to create experiments that they can produce new things. They just seek existing information and reorder it. If we start to use AI more and more to become effective we are facing situations in which we don't get new innovations. 

New innovations are things that make the world more advanced. But when we make innovation. We process thought into the product. Without thought is not innovation. Because our mind is to bind to memories we are in trouble with new things.  That means we should create a mind that is not dependent on memories. But that thing is not very easy to make. Almost everything that we make is bound to memories. 

Algorithms do not create things. They just connect existent data into new entirety. And the question is this: do we let ourselves turn into the AI's? Mechanical minds can search existing information but cannot create anything new. 

If we don't let people innovate that means that we will not create new things. Innovations require time and space. And that thing is not a thing that fits into the idea of productivity and effectiveness. 

Algorithms are tools that make many things faster than humans. That is the reason why we use them. The question is always this: do we someday make algorithms that rule people? When we make things by using algorithms we can find an easy way to make things. Algorithms make our lives easier. They search for things from databases. Then, AI can make many things better than we can. We are afraid. That AI helps people to make things. 

Like fake doctoral theses. We are always afraid of that. People lose their creativity when they use AI. We ever ask why we leave our work to the AI. We see that things happen, never asking "why"? 

The problem with the algorithm is that AIs don't make anything new.  They just collect information from the networks. AIs build new entireties using information. That already exists. And that is the problem with AI. The problem is that the system requires effective working. During working days people don't cheer programmers and other people to make new decisions. The requirement for effectiveness is the thing that destroys creativity and advancement. 

People are afraid of remote working because it destroys innovation. But how many hours in week do we use for innovations? Do we really make innovations in our offices? Or do we just read newspapers and reports and make things that have been made 1000 times before? 

Many people think. That innovation is the case, where one person talks and the other listens. The problem with innovation and creativity is that people are afraid of failure. Failure is somehow a non-accepted thing, and that means we make many times things that we made many times before. 

Because. People are afraid of things like grammar mistakes they think that they must let the AI make their texts. Programmers are afraid of mistakes.  Fixing mistakes steals their and other worker's working time. That is the reason why the working environment forces people to use AI. And that is the best way to destroy productive thinking and innovation. 

The AI makes people look like effective. But that system uses only existing information. That is the limit of the AI. Even if we want to make images using AI, we must give orders to it. The AI is like the drawing program that follows orders that we give. That allows us to create new worlds. But that thing doesn't advance our painting skills. 

The memory makes humans effective. Imagination is the thing that connects memory bites together new way. That allows us to create new things. Memories and the connections with existing memories are the things that limit the imagination. The requirement for innovation is an idea, that doesn't come from emptiness. 

Memories are stored in our memory cells. When we use imagination we just reorder those things that we can call memory pixels into the new entirety. Those things are like puzzles that we can reorder. 

The big advance would be the mind. That is not connected with memory. The memory-independent mind is something that we cannot imagine. We use memories to create new entities. And it's hard to even imagine a tool that doesn't use memories. That thing is the tool that can make the next step for innovations and society. 

The new AI paves the route for next-generation AI and intelligent systems.

 The new AI paves the route for next-generation AI and intelligent systems. 

We are in a situation where AI takes a stronger role in life. But even if modern AI is an impressive tool, the cold truth is that the AI just interconnects databases together. The AI requires certain parameters so that it can select the right information from large databases. The problem is that databases and hard disks have limited capacity. So the system must have parameters that makes it forget or remove data from certain database. If there is no that parameter the AI fills its databases with no necessary information. 

When we are selecting routes, we must remember a golden rule. There is no perfect route, and the second thing is that the shortest and easiest-looking path can be dangerous or turn very hard later. If we drive a car, the computer must calculate time but also costs that the route takes determine how effective it is. Things like needing to refuel or recharge batteries or stand at a crossroads with the motor on can cause costs. 

When we are transferring this thing into AI, we are against the new situation. The AI is not perfect. It makes life easier, but it also destroys some jobs. The best sector for AI is the limited operational area with clear orders. That means the AI is the best tool for things like mathematical analysis, and the only problem is this. When somebody wants to use the AI that person must describe the mission clearly and use language that the AI can understand. 

"Researchers have improved deep learning by selecting the most efficient overall path to the output, leading to a more effective AI without added layers." (ScitechDaily.com/Smarter AI: Choosing the Best Path to Optimal Deep Learning)

The golden rule with the AI is this. It can create many things that humans make but the AI is not intelligent. It knows multiple things, but the problem is that when the AI must learn something. It's helpless. The AI is not very good in cases where it must interconnect multiple data allocation units from multiple sources into one great quantum computer.  So the AI has no imagination. 

That means the AI cannot create anything new without orders from its master. But the game is changing. The computer can use simulations for making new databases that involve new ways to react to something. AI is an ultimate tool. And it can turn into a very powerful tool in life. Because it can interconnect many sources together it can give the right answers and seem very intelligent. But that system needs pre-made answers for making decisions. 

When the AI faces some situation it finds the match for situations that it. That is stored in its memories. That means the AI cannot create the databases from emptiness. But during the day the AI faces many things that mean nothing. And if robots or AI stores all the data that they see, the mass memory. That means robots fill even the largest mass memories. It requires parameters for select reactions it stores in its mass memory. Reactions must match with details that are stored in a database. 

https://scitechdaily.com/smarter-ai-choosing-the-best-path-to-optimal-deep-learning/

Sometimes people say that UFOs are avoiding people.

Image 1) Lockheed SR-71 "Blackbird"

The UFOs, as an innovation source. 

The purpose of UFO research is to collect information for next-generation innovations. And another reason for that research is to confirm that things like stealth technology are working as it should. 

Sometimes people say that UFOs are avoiding people. That thing seems reasonable. If UFOs are secretive military aircraft that involve secretive military technology. Their operators want to keep them hidden from the public. Things like SR-71 "Blackbirds" and their possible hypersonic successors are not very usual aircraft. 

Hypersonic jet fighters are problematic things. The weapon release from those aircraft is not similar to some Mach 2 or 3 fighters. If the aircraft's speed is over Mach 5, the air cone around them makes weapon release more complicated. 

The shape of a hypersonic aircraft's body must be made sharper than regular aircraft. In hypersonic aircraft missiles and bombs must not be put under the aircraft's wings. The pressure around the aircraft will rip those things away from it. 

And the main element in that kind of aircraft aerodynamics is that nothing should break its shape. But in recon planes, the camera windows can be made by using the same glass that is used in spacecraft windows. 

Because cameras are inside the aircraft's body. And there are no hatches the camera system is easier to install in the aircraft than bomb bay. The hypersonic recon aircraft is easier to make than some hypersonic jet fighters. 

Image 2) Modern Saucer-shaped blimp. Those blimps can have screens on their surface. And those screens can make them into chameleons that are hard to detect. 

In some cases, the UFO is suspected of being some kind of stealth helicopter. The mission of that system can be to recover the bites of dropped highly secretive military aircraft. Things like compressors and fuels of those aircraft are not public information. There is the possibility that some UFOs are saucer-shaped airships that have stealth capacity. 

In some explanations, UFOs are holograms whose mission is to keep jet-fighter pilots away from the test-flight areas where is tested highly secretive military systems. Or maybe they are holograms whose purpose is to make people look at the different way when some nuclear bombers are rising from their bases. 

In some versions of this theory, the UFO is the virtual structure that forms when fast turning radar antenna moves extremely fast. In that vision, the radar antenna is like a whip, that moves extremely fast. That motion makes a cloud to its trajectory. And it looks like some kind of saucer. Sometimes things, like AWACS (Airborne Warning and Control System) platforms can make clouds around them if their radars use microwaves. 

Image 3) The Boeing E3 Sentry AWACS platform

Are the foo-fighters some kind of radar equipment that is made by using two quadcopters with radar antennae between them? 

The foo-fighters are one part of the UFOs. Many times people believe that they are quadcopters that have LED lights. The purpose of those lights can be to cover things behind those things. Or laser-LEDs can use as a communication tool between those systems. 

When we think of the behavior of those interesting things where one or two foo-fighters are orbiting the center device, there is a possibility that those things are some kind of radar system. 

In that case, the quadcopters are connected by using a very thin antenna. That kind of quadcopter pair can drop to an operational area from aircraft. Or even from satellites. When that radar antenna starts its operation the quadcopters are releasing it from the reel. And that thing can use as the AWACS system above the battlefield. 

There is also the possibility that the foo-fighters are plasma balls that are connected by using quantum entanglement. That system can form the virtual radar antenna. 

Images: 

Image 1) https://factrepublic.com/facts/8745/

Image 2) https://www.engadget.com/2010-10-04-flying-saucer-blimp-that-can-haul-150-tons-at-a-time-yes-pleas.html

Image 3) https://www.defencetalk.com/military/photos/usaf-e-3-sentry-awacs.36232/

In all cases, researchers must follow the path of evidence. They must encourage eyewitnesses to tell what they saw. 

In research terms, "Alien" means an unknown and non-controlled intelligent actor. And the term "intelligent" means the actor whose actions have a clear objective. That means the "intelligent actor" can be a robot that makes a series of actions without knowing its purpose. 

When we think about individual UFO cases researchers must not close any possibilities away before they started investigations. That means we should always keep the "alien hypothesis" open as one possibility when we start to make research. When researchers start to make their work, they should not make any conclusions before investigations. The fact is that researches are not things. 

That can offer any answers before they are stated. And in fact, when a person comes to the office and shakes in fear. That means that person saw something. Researchers must encourage eyewitnesses to tell truth. They should not pressure to tell things that they or their superiors want to hear. Their mission is to make conclusions by following facts. 

The fact is that nobody ever officially confirms to own UFOs. That means all UFO signs are not explained. And that phenomenon remains unknown. There are about 1% of those cases remain unknown. So all roads must keep open. 

https://designandinnovationtales.blogspot.com/

When the AI is connected with the CCD camera, it can give new results about the observations.

The new AI-based technology can search for the bottlenecks of traffic and other things like that. The system can also search the things like too-long vehicles from the images. If some roads are too narrow for some type of vehicle the AI can tell that thing to operators. 

And then they can guide those vehicles to another route. The AI can compare massive datasets that are collected from multiple sensors. And then it can make decisions that can make things work better. 

The thing where the AI is the best. Is comparing the data of large data masses. The AI can see if there are some anomalies in the image. The AI can compare the images stored in hard disks. And then it can find the differences in those images. The system detects the smallest possible changes in brightness by comparing the images pixel by pixel. In that system, the image is taken at the same angle and same spot. 

That allows operators to see. If the object moving or if there are some other changes. This system can use in recon missions or astronomy. The idea is that. The camera is taking images that are stored on the hard disk. And then the system compares the images that are stored in the mass memories. That thing makes those systems more effective. Because the system has more time to make its duty. 

When we connect that system with fuzzy logic we can make a system that can compare objects very effectively. At first, the system can use fuzzy logic. This means as an example 80% of pixels have a match with a certain object. And the system tells that object is a van. 

Then the system can send that data to an operator. But it can also store the image on a hard disk. And then the system starts to search the images from its archives. To find out the mark and model of the van. This means the system can give interim information to the operator. 

The operator will get information that the thing that bypasses the camera is the van. And then after that, the system can search the mark and model of that vehicle from the database. This is the thing where computers are the best. 

https://scitechdaily.com/using-artificial-intelligence-to-find-anomalies-hiding-in-massive-datasets-in-real-time/

Image: https://scitechdaily.com/using-artificial-intelligence-to-find-anomalies-hiding-in-massive-datasets-in-real-time/

https://interestandinnovation.blogspot.com/

When we think that something is ordinary, that thing can be very extraordinary.

When we think about things like material we might think that is the most common thing in the universe. The fact is that only we see only about 15% of the universe. And 85 % of the material is invisible to us. So if 15% of the material is visible we must realize that the most common thing in the universe is invisible. And the universe what we see is the very extraordinary thing.

If we are transferring this idea to sociology we are facing an illusion. We believe that all people are similar to us. And that thing brings another illusion to our minds. 

We believe that we are common people. If we make some developing works in some company we believe that every worker in the work-life is a developer. There is the possibility that we know only other developers in our workplace. And that thing causes a certain illusion to us. 

If we are members of some MC club we might believe that all people are members of those MC clubs. We think that some Harley Davidson is the most common hobby in the world. So we are forming our social network from people who are similar to us. There is the possibility that some biker knows only other bikers. 

Another thing is that we are selecting our company from people like us. That's the shame. The thing is that this thing makes our environment monotonic. That thing means that there is no room for other opinions. That makes the environment poor. And when we need many different ideas people who are thinking as we think are causing those ideas are turning similar.

Of course, that thing can seem nice. But when we are innovating something there is needed many different ideas. If every person has the same ideas. That makes the idea of the meeting one-sided. The idea in innovation meetings is to develop new things. And in that process, the focus should be on clients. The users of the application make their choice. They buy the product. And that means there should be a representative of the potential customers in the development team. 

Because we are all similar people in our workplace, we forget who we are creating things. The most common mistake in that process is we are starting to make the product for ourselves. We forget the point of view of the user. When adults are making toys as an example. They are making toys from the point of view of adults. 

They believe that children are mini-size adults. And when adults like something, children like that thing too. Same way when people are developing the things like mobile telephones and something like that. They sometimes forget the conditions where the user uses those products. 

When the person makes things like user interfaces they forget one thing. The developer who is working with that kind of thing certainly finds the right things at the right moment. For the person who is made those user interfaces is easy to find things. Especially when our person is sitting at laboratory or office everything goes right. But have you ever been in a situation where you must buy a bus ticket one minute before the bus is coming in rainy or freezing weather?

The thing is that when the ICT developers are making their job they sometimes forget so-called ordinary people. Their customers might be highly trained people like medical doctors and lawyers. 

Those people can be the most well-educated persons in the world. But they are not ICT specialists. And there is the possibility that when we must find some application in rainy and dark weather, we are in a different situation than the person who tests those things in laboratories. 

The name of the game is how to make the energy travel from the environment to the particle. (Quantum engines)

   

 The name of the game is how to make the energy travel from the environment to the particle. (Quantum engines)

The most important thing about the speed is that the acceleration continues. Until energy starts to travel from particles to their environment. This thing means that the extremely cold particle flies to a longer distance than warm particles. The energy will continue to travel to the bullet until it reaches energy stability. And then, the flow of energy turns away from the particle. 

This is the thing that is making the particle slow. The kinetic energy is starting to travel from the particle to its environment. And that thing is making the slowing of the particle.

So the thing is that creating the quantum annealing effect around the particle or some other object makes it possible to accelerate the speed to an extremely high level. So the thing that can make it possible to create the next generation space systems is to use the extremely low energetic particles backward. 

The low energetic particle would pull energy to itself and that will accelerate its speed. But that thing requires that the kinetic energy must replace by using some other acceleration method. And it's impossible to make this kind of thing real in nature. 

But if there is someday possible to make the zero energetic particles that would not have kinetic energy. And which can move backward that thing could make it possible to create the faster-than-light rocket. That kind of engine is against natural laws. The zero-energetic particle cannot kick the rocket forward. 

The energy vampire is the thing that is making it possible to create the zero-energetic particles that are making the "faster-than-speed-of-light" exhaust gas possible. The idea is that the ion engine will kick those particles to the speed that is so close to the speed of light as possible. Then the temperature of those particles will decrease as low as possible. That should make them travel at extremely high speed.

But that thing is very hard to make. The system should kick those particles with very fast speed and same time pull the other energy away from the body of the spacecraft. That thing would cause that energy around the body would travel to the core of the craft. 

The thing that slows the particles is the same thing that denies crossing the speed of light. That thing is the crossing quantum field. Those crossing quantum fields are making the particles impossible to cross the cosmic speed limit. 

But there has been made the idea that the energy of the spacecraft body would put to zero-point or zero level and the gas or ions around it can same time anneal. That thing is meant to make the quantum field pass the craft. 

There is made many attempts to create faster than the speed of light spacecraft. The most promising of them are the hypothetical Kugelblitz- and WARP drives. Hypothetical "Kugelbitz" is the black hole-based system. Or actually, it's the group of the hypothetical black hole- or ion-based systems. Are planned to accelerate the speed of exhaust gas. And make faster-than-light travel possible. 

Maybe those systems cannot ever make that thing. But if they can accelerate the craft to speed that is a couple of percent of the speed of light those systems can open the road to the entire solar system. And even if the stars are too far those systems can be more powerful tools than any rocket. That has been created before. 

In the most futuristic versions of the engine, the nozzle is formed the black hole. And the exhaust gas of rockets will accelerate by using that system. The most conventional models in the rocket engine will position the Wigner or time crystal. If the protons are shot to time crystal that thing can accelerate their speed. 

Or some extremely electronegative particles would inject at the front of the exhaust gas. If the positive ions will launch at the front of the negative ions. 

That thing can increase the speed of the negative ions. Also, those crossing ion flows can use to form the fusion reaction behind the craft.  And that thing is making it possible to accelerate the ionized exhaust gas of the rocket engine to extremely high speed. 

https://www.space.com/24306-interstellar-flight-black-hole-power.html

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

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

https://thoughtsaboutsuperpositions.blogspot.com/

When humans are falling, robots are rising.

  

 When humans are falling, robots are rising.

The robot makers are saying that robots will take jobs from some people. And of course, that thing causes worries. But otherwise, we should think about what kind of jobs robots are taking from us? Are they jobs that are wanted or respected? 

Or would you do those jobs? The thing is that robots are a complicated thing in the environment and business infrastructure. And the fact is that robots are effective operators that can grow productivity to the highest possible levels.

Robots can operate without breaks, and they don't need salaries. And if the company uses only robots for a working process. That means it can make products with the lowest possible price. 

Because robots are not needed salaries or practice they can operate near the delivery area. And the thing is that the robot can make so many stages in work. That is stored in its memory. And those modules can be changed when the company wants. 

So that kind of company can minimize the salary and transport costs. That means it can make products with lower prices and that is a good weapon in competition. And even if the products that robots made, are not sold. The company can turn to make a new product right away. Or if there is a cut in production those robots can take into use immediately when the order is taken. The robots would not make strikes. And the only thing that is against them is that they are taking jobs from people. 

 But the problem is, what the people whose jobs the robots are taking would do? 

The problem is that those people would just get their salary in the form of social aid. But the low salaries in the sectors. Where robots are planned to use are causing that the people who are working in those works are unhappy. In this text, I write about normal working robots, which mission is to replace human workers in boring and low-paid jobs. The advancing robotics needs infrastructure that supports them. 

The infrastructure is, of course, the recharge points and wheel-change service. But the environment is also the thing that is between our ears. Things like attitudes are the things that are also belonging to infrastructure. The attitudes are the things that are making people select the politicians. And politicians are making the laws that are controlling the development of the systems. 

When Elon Musk wants to make more robots and use them for work, that is reserved for migrant workers the idea behind that thought is that there is a couple of things that people should understand. The thing is that when we are building more and more apartment buildings we need more and more cleaners. So where we can take those people? Do the native citizens willing to apply for those jobs? 

Or what kind of people is willing to apply for those jobs anyway? If the natives would not want to do them, there is possible to bring foreign workers to make those works. And when the contract is gone the migrant workers are going home. Then we might ask one very big question: what kind of people come from a foreign country to clean some apartment buildings? 

Or would you tell your children that their place in society is to work as a cleaner because we don't want robots or migrant workers?

Maybe some people must take that kind of job. But what is the price of the force? Do we want employees who are a couple of months in work and then they are gone? When a new applicant is hired, there it takes time to introduce and learn the jobs. And then after four months, the next worker is coming in. Is the work well-done if it is made by some person who has social problems? Or would the people who live in the house feel safe if their cleaners are full of tattoos?

Is the person happy if that worker knows that after a couple of months will wait for the new work application? There is the possibility that in those places was not even promised nothing more than 2-3 months.  But is this the thing that we want? Do we want there a large group of outcast people? 

https://networkedinternet.blogspot.com/

About the history of computers. From binary- to quantum systems.

 

I'm just looking at my new Windows 11 update. And that thing brings interesting ideas to my mind. The research and development of quantum computers are faster than ever before. Even today we can use quantum computers by using remote connections. 

But the fast-advancing tools in that sector cause that will be the time when quantum computers are for sale in supermarkets. The development and advancement of quantum computers are following the route of binary computers. The binary computers came out from laboratories. And then they became personal equipment. 

The rise of the internet caused that the information stored in the network stations and the thing called PHP (Preprocessed Hypertext) made it possible that also small computers can use to drive complicated code. The PHP means that the system outsources complicated calculations in the calculation center. And the PHP would be the base for the systems that are used to operate quantum computers. 

If the quantum computer is installed in some calculation center. That means there is one more level in those supercomputers. The data is downloaded from the net to the binary supercomputers that are preprocessed to the quantum system. 

And the same way when quantum computers process data and finish its run it would download and turn to the binary mode by using those supercomputers. The advancing hardware means that quantum computers are turning smaller and cheaper. 

2D microchips can be stabilized by using pressure and low temperature at the same time. 

The 2D microchips are more suitable for small-size quantum devices than regular 3D structures. The reason for that is that stabilization of the 2D or flat structures is easier than 3D structures. The system can use both low temperature and pressure for stabilizing the quantum systems. 

That allows the quantum system to operate in higher temperatures than old-fashion quantum systems. The compact-size quantum computers can be the next step for computing. 

And when quantum computers are turning compact and more often. That thing means that the data that is protected by using binary computers is dangered. Even we want to resist the advancing of quantum technology we must remember the development of binary computers. 

From the first electronic computer, ENIAC was only a small step to personal digital computers. The ENIAC step into service in 1945. And the IBM PC, the first personal computer entered to markets in 1981. And if we are looking at the advancing of the computers we must realize that if somebody said that we have a 4 gt memory block in a computer that we can carry in briefcase other people said that the sayer has some problems. 

Quantum computers are advancing very high speed. And quantum computers are used to plan and research new and more powerful quantum systems. The size of quantum computers decreases. And that means the first robots that are controlled by the internal quantum computers might be a door. There is nobody who can control the development of that thing. 

https://aboutspaceandtech.blogspot.com/

Quantum compass and next generation navigation

https://gamesandtehories.blogspot.com/

Kimmo Huosionmaa

The vulnerabilities of GPS systems have been noticed, and that system has many weaknesses. The use of satellites makes it vulnerable to ASAT (Anti Satellite)-missiles, and another kind of weapons. That's why the military forces of the world are looking for the replacement for GPS. Even if the new systems, what bases the jumping frequencies are more immune to jamming than old systems, the replacement, what does not need satellites are now under the development.

Quantum compass might replace the GPS because it's immune to jamming systems. The major weaknesses of the GPS are the system uses satellites for giving the position of the point. And this is why GPS is quite easy to jam, and the other weaknesses are that the system cannot be used in underground or EMP-protected places.

Also, northern lights are disturbing that device, because they form ion layer in the top of the atmosphere. This means that the operators, who use GPS must find another way to locate themselves. The answer in submarines has been to use the Inertial navigation system, what connects the information of the speed of the thing, what uses that system, and the gyroscope meters the direction of the ship or aircraft.  In modern gyroscopes, the layer would lay in the magnetic field, and it is rotating like in the electric motors. The lasers would observe the direction and positioning of that magnetic plate, what reacts extreme sharply in any changes in direction of the system.

By using this information can the computer map the position, if the beginning point of the journey is known in the vehicle. This navigation system can map the entire route of the navigated thing. But this system requires the begin location for mapping, or it is useless. This is the problem with this system. Also, the problem is to make it enough small that person can carry it in the pocket, and the need of speed information makes this thing hard to use in ground vehicles.  Setting the beginning point of navigation is also difficult if the person jumps by using a parachute, where the beginning point is hard to locate.

The answer for the problem could be the very sharp magnetic compass, what bases technology, where the layer is floating in the magnetic field, and the multiple lasers are observing the position of that thing. The new kind of systems might be the combination, where is magnetic and gyro compass working together. Those systems might be very small and that would make them very light and effective.

The magnetic version of this compass works with a similar principle with normal magnetic compass, and the system calculates the place of the system by using the angle of the north pole for locating the system. The difference between the Inertial navigation system is that the plate must be in a stable position. There would be extremely thin magnet nail on it, and that makes possible to locate the magnetic north pole very sharply.

If those systems are based with nanotechnology, where the plates are extremely thin, and the width will be the only couple of micrometers and the size is smaller than coin or even the thumbtacks, the system would be extremely small. But of course, the operator needs more information and one is the knowledge about where the system is. So the operator must put the state or some coordinates, where he might be, that the computer can locate the person. This might be the next generation locating system.

The ideas of the modern architecture

https://crisisofdemocracticstates.blogspot.com/

Kimmo Huosionmaa

Above this text is a picture of the modern building site at Helsinki, Finland, and I thought that this shows, how the modern materials and innovation change the way to make buildings. The modern materials and the CAD-based computer research allows making more advanced and sophisticated planning for buildings. The next generation buildings are made with CAD/CAM (Computer Aided Design)/(Computer Aided Manufacture)  methodology, what allows to make the buildings, where every part fits perfectly in the position, where it is planned. In this process, the computers would send the CAD  pictures to the company, what makes the elements, and that allows to make unique elements, what have different shapes and metering.


The size and color of each element can be unique, and that makes possible to apply new kind of things in the structure of the buildings.  That allows using the elements and material very sharp, and there would become the minimum number of building waste.  But that technology allows to make houses, where are new kind of components, what was ever before in the normal buildings. That kind of solutions could be the balconies, what can be pulled in, when the weather is bad. That could deny the accumulation of snow. But that kind of detail could be a very interesting part of the building.


That kind of things are the things, what could be standard in the houses of tomorrow. Also, computers would follow the moisture of the elements by using special nanosensors, what collects the information about the moisture and other erosion in those elements. That "smart sand" is the microchips, what meters the quality of the elements, and also the movements of the building. The idea of the intelligent house is that the ventilation and the brightness of the windows would react continually for the temperature and sunlight, that the houses would become more comfortable for people, who live in there.

Sven Dufva, the most well-known character of "The tales of Ensign Stål"

(Picture I)

http://kirjabloggaus.blogspot.fi/p/sven-dufva-most-well-known-character-of.html

Kimmo Huosionmaa

This is the philosophical point of view to Sven Dufva is the most well-known poems of the book "The tales of Ensign Stål". We actually don't know if this character pure fictional or is behind it some real person. That man said to be big and strong, and sometimes I have had a very interesting thought in my mind. That is "could Sven Dufva is automaton". That theory is very wild, but as we know, the automaton fascinated theologians, military leaders, and philosophers all around the world. And sometimes I have thought that if this very interesting character could be some kind of automaton.


This wild theory might explain, why this man was so slow. If this man was some kind of early robot, it would be the very fascinating thing for historians. This poem is the tale of the soldier, who was not very smart. This man left behind others and defended some bridge alone against Russians. The poem is very strange because there is told, that if Dufva would get help, could the army stay in the positions.


But as we know that this man had no change at all to win the battle alone, and then we must say, that if that man had a machine gun, could he kept the position, but armed with a musket, that man had no change. A bridge what this man ordered to defend was not very wide because Sven Dufva could defend it alone. Sven Dufva's bridge has sometimes searched in Finland, but nobody claims to find it. And that has made somebody thought that maybe this man is only the production of images, what came to somebody's mind during the writing process. But somebody believes that this man was real, and they have wanted to find the grave of this creature.


What makes Dufva so mysterious, is that he claimed to be a little bit slow, or there was something problem in his head. And I sometimes have thought that what was the reason for that? Could he just be the Finnish spoken person, who just had difficulties to understand commands, what were given by using Swedish?  In that time Finnish was not an official language in Swedish empire, but that was not spoken very much outside the universities and royal offices.  And if Dufva would not get practice for that language, could the military service be very difficult.


 And if his fellows didn't know about that language problem, would this poor man seem some kind of slow, what could make difficult to get promotions and handling all other things were very difficult, because Swedish officials didn't speak or wrote Finnish. In that army, everybody has expected that every man used Swedish in official papers, commands, and free-time social interaction. If somebody didn't handle Swedish good enough, that could mean, that he would be isolated from the social interaction of the unit.


But when he fell by enemy bullets, the bullet hits to the heart of that man. And sometimes people have thought, that maybe there was some kind of steel plate under the skin, what could be stopped the bullets, what shot to that man's head. Maybe that metal plate put in his head some doctor, who gave Dufva the cure of the broken skull, but this is only thinking, and my dear friends, we don't know if this character real or fiction.  And some other people think that maybe this Sven Dufva was some kind of mechanic human. Those early robots were used in very limited missions, and they were actually like walking clocks, what were made for fun.


But in some cases, those mechanic men or automaton were planned to equip with explosives, and send to the enemy lines. Those robot men were very difficult to make, and that's why they were made only very little quantum. Somebody claims that even the action movie character "Rambo" have got influence from this almost mythical creature. This creature is one of the most fascinating characters in the history of books, what are written in Finland.

Sources:

https://en.wikipedia.org/wiki/The_Tales_of_Ensign_St%C3%A5l

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


Picture I

http://www03.edu.fi/oppimateriaalit/stool/kuvat/02sven13.jpg

http://kirjabloggaus.blogspot.fi/p/sven-dufva-most-well-known-character-of.html

The art and innovation

http://crisisofdemocracticstates.blogspot.fi/p/the-art-and-innovation.html

http://crisisofdemocracticstates.blogspot.fi/p/the-art-and-innovation.html

Strange painting from the medieval age might innovate the engineers to build the most modern Mars probe.

http://crisisofdemocracticstates.blogspot.fi/p/strange-painting-from-medieval-age.html

http://crisisofdemocracticstates.blogspot.fi/p/strange-painting-from-medieval-age.html

http://crisisofdemocracticstates.blogspot.fi/p/strange-painting-from-medieval-age.html

About innovation and how it can be destroyed

Kimmo Huosionmaa

Money is a good thing, but if you want to destroy innovation, you must do one bad decision. That is giving money to the team little bit too early. If a team is not ready for innovation and it inner pierces are not playing on the same team, the innovation in the team might die. If team members must race against together they will destroy all company or proto company. When the young person establishes new company they must realize that the investors are not angels. They don't give money for free. They want their investments back with heels. And when team collects new money, they must first make the product ready. After that, they can introduce that thing to investors.

The team is the most important thing in the innovation process, and a key element is that team members must trust each other. If they must be afraid to talk freely, without fear kickoffs, the team will work better than if somebody must afraid that he or she will kick off. If some member of the team will always yell to others and behaves like an asshole, that will poison all atmosphere of that team. The most vulnerable thing for team spirit is a person who plays something that he or she is not.

Another way to destroy innovation is that some member of the team will know that he or she will kick off in some day. When we remember that team spirit is very important for innovation, what kind of motivation will have a member who is totally out of the team? Does that person gives his or her full attention and does he or she deliver own ideas to others. I think that answer is “no", and that person probably does not even talk to other personnel of the group. Most of that person’s time goes with making new CV and job application for next job interview. That will not rise that kind of workers work spirit.

But why giving money too early makes bad things for innovation? When somebody is giving money for something that makes target society a firm. In the firm innovation is not free, because customers want profits. And if the product is not ready, that will cause stress for the members of a team. And if the customer or business angel gives money will that person cause race situation inside that group, because everybody wants money and profits from their product. When somebody wants to invest money to some company or product he or she wants to get outcomes from his or her investment.

So when business angel wants 20% profit that person wants 1,20 euros for every euro what that person gives to the company. And that makes stress to the team because they must have something to show on deadline. And that "something" must be something, what gives money to that person. If money doesn't come, that "angel" will get the team to court and begins debt collection, and that is a very unhappy situation for everybody.

https://crisisofdemocracticstates.blogspot.fi