New materials can improve stealth and information technology.

The idea of radar and other radiation absorption is quite simple. The material must conduct radiation energy sideways when radiation hits to material. The thing that makes material visible is reflection. There are also materials. or systems that turn radar impulses from both sides of the target. Those systems' base is in counter radiowaves or plasma fields that can aim radio waves that way that the receivers cannot get the reflection. There is the possibility of breaking that kind of stealth technology using asymmetrical receivers. 

That means some receivers are in other positions where they could receive the radio wave that reflects that is aimed away from the radiation source. Another way is to make material that absorbs radiation. The material acts like kevlar acts with pressure impact. That material shares energy into larger areas. And that makes it so good material for bullet-proof wests. The quantum absorption material acts the same way as Kevlar. It transports impacting radiation energy sideways. The problem is that the material cannot bind energy inside it forever. 

Sooner or later. The energy level in the material turns so high that it can send radiation impulses back to the radar. In some tools, the counter radiation is sent in thin wave packages. 

Those wave packages pull energy out of the incoming radio signals. And that should make the reflection weaker. The problem system must aim those counterwaves away from the radar receivers. 

"Absorbing layers have been fundamental to advancements in technologies like energy harvesting, stealth systems, and communication networks. Credit: Syracuse University" (ScitechDaily, Ultra-Thin Absorers Break Records and Revolutionize Energy and Stealth)

The anti-stealth radars can use very high transmission power and change the area where the radiation impacts. That means the anti-stealth systems try to fill material. The system uses different transmitters and receivers. The problem with those systems is that the smooth curves on stealth planes make the reflection scatter. But sooner or later. The radar can get an echo. The system can use also things like laser radars and spaceborne optical reconnaissance satellites. Those satellites can send target data to the missiles and maybe quite soon to the laser stations. 

The counter systems against those anti-stealth systems can include anti-satellite weapons and small-size missiles that should destroy those radio transmitters. In the same way, the satellites that transmit data to the anti-aircraft systems must be in stable positions. The biggest problem with optical satellites is clouds and for. The infrared absorption is easy to make using the ram air. The aircraft's shell will be cooled. By using the air tubes that are under the shell. 

The problem with absorption is where the material can transport energy from itself. Material cannot store energy into itself forever. So it must transport energy out from it.

 One of the solutions can be the battery. Radar impulses are electric waves that travel in the air. The system that can transport energy precisely into the battery can deny the radar echo. The system can store that radiation in salt water. Then it can remove that energy from the exhaust tube by transporting that water out from the battery. And that removes energy from the aircraft. 

The altermagnetic wires can aim the reflection into the direction that is away from the other aircraft and ground station radars. 

Things like altermagnetic wires can also make it possible to transport energy out of the structures without reflection. In altermagnetism, the shell of the wire is not magnetic. That makes it possible to create a system that collects radar energy from the aircraft shell. And then aims it into very thin radaiation that travels any direction where the pilot or stealth system aims it. 

In information technology, the absorbing materials can remove echo from the electric wires. That denies the reflection waves from the shell of the wire. The things like altermagnetism are tools that can also protect information that travels in the electric wire. 

 https://scitechdaily.com/ultra-thin-absorers-break-records-and-revolutionize-energy-and-stealth/

Where is the AI going? And where is it taking us?

The AI is advancing very fast. And sometimes we must ask, who controls whom? Do the engineers control the development of the AI? Or does the AI control the engineers who develop it? The race of the AI is the visible thing. That means the AI development is very fast. And the thing is that.

The requirement is that the AI must always get new features that turn it better and better. Or is it better? It can make more things and that is a description for better AI. But even if the AI is wider and it can make more things, we must ask does the AI make those things better? But the AI is far away from the thing, That we call the artificial general intelligence, AGI. 

The problem with AI advancement is that. The focus is on the calculation capacity. Increasing that capacity makes it possible to run more and more complex algorithms. The iron or physical systems are important. However, the main problem is that AI requires more than just calculation capacity. The AI requires the ability to collect, analyze, and reorder information into the form. That people can trust it. 

The problem is that even the deepest learning systems can make many things. But they do not know what they really do. The action that the AI makes is quite easy to explain. When we order the AI to raise its limb the system can make animation when there character raises its limb. Or it can make contact with the robot and the robot raises its limb. 

During that process, the AI must recognize the order. Then the system must search if is there a match for those words in actions that targeted the physical system. If there is a match, the AI activates the physical action. If the system must calculate something it can ask if should it write all stages in the calculation or if the answer is enough the AI can say it to the user. In those cases, there is the router that selects does the order requires a physical system or if the screen is enough to introduce the solution. 

There is nothing mysterious. The AI works like its creators, programmers are ordered. But the fact is that. The AI will not know what it really does. It means that when we say to the robot, that it must raise its right hand. The robot or its computer selects the components that operate the right arm, and then the robot can raise that limb. 

The fact is that if we misconnect those microchips the robot can raise its left leg. That is the key to AI. The AI can make many impressive things. But it just follows the algorithms that determine, how it must react to something. The activator can be the thing that the robot sees or hears. Then the activator launches a trigger that activates the action. The action can be physical or virtual. 

But then we must realize one thing. We can make robots that say "ouch" when we step on their feet. They can say that we use bad language. Or they can even cry if they have the right systems. In those cases, the non-polite action activates a trigger that makes the robot look sad. But the fact is that robots don't have feelings at all. They might react and look like humans. But they still are robots. They react to our voices and our words. But they are not intelligent. 

We could take those actions by using tape recorders and things like volume meters. If we step on those robots' feet, that activates the button that activates the tape, there is the word "ouch". If we yell too loudly the volume meter activates the tape that says, "Don't yell". That means those systems are not more intelligent than tape recorders. They seem very highly intelligent but they are not that. They just act as the button or trigger and the action that is connected to the trigger ordered. 

When the AI makes the diagnosis by using X-ray images the system just compares differences in the X-ray images. The system acts similar way as the fingerprint comparing systems. The system can use multiple X-ray images and search for things that are changed from those images. The thing is the fingerprint recognition systems are helpless if they have no fingerprints that they can compare. 

Same way when AI tries to detect stolen social media accounts it searches for differences in the ways how the user uses media and texts. The idea is that it's possible. That many people use those trolling accounts. And all of those people have different things that they like and hate. Differences in the texts and publications tell that it's possible. That there is more than one user in that account. 

In social media, we might not even know people who publish things there. We might not know their faces or their identity. But also those avatars have identities. People behind those images and maybe fake identities might have certain types of music genres that they like and follow. We might follow the avatar or fake identity because the person publishes things that we like. 

And if those publishings suddenly change the person who is behind that identity might be changed. Things like musical opinions do not change in one night. And people don't turn adult in half a day. Too sudden changes are telling that something is happening on the other side of the publishing. 

The small things turn into the big things if a person who we have known for years suddenly changes some core elements in their publishings. The fact is that we don't know who people are on social media. But we know what those people like to publish and what they dislike. We might not know people's names or their faces. But we know what kind of arguments they use, what kind of music opinions they have and we know their taste in entertainment. 

Why is the AI-development so hard to control?

Sometimes, researchers say that the developers of the AI lost control of their product. The reason for that is that the AI advances so fast. But they don't answer questions about why AI advances so fast. The answer is that the AI takes part in the AI development. The other thing is that the AI is the tool, that almost everybody can use. 

The AI is not a tool that everybody can use automatically. The system requires that the user gives commands using good grammar. So learning to give commands in the right way to AI takes time. And the AI use requires practice. Or everything can go wrong. 

The ability to use AI to make new solutions and new applications increases the number of solutions, that use the large language models, LLM, or can communicate with LLM through some other applications. That means that. Many more or less official enthusiasts use AI for software development. And that causes the effect. That the AI-using developers will create many new more or less legal applications. The AI can almost automatically create legal applications. So there is no problem with those things. 

There are people. Who tries to slow the AI advancement, but the problem is that those people work with their own AI projects. Another problem is that they work in high-class positions in their ICT corporations. That means those people will face suspicions about things like cartels. Or otherwise saying dealing over company borders is against the business laws. Sometimes people just say that those leaders want to keep breaking because their own AI projects are not successful. 

When we think the AI as the code generator, that application makes it possible for developers to create large-scale projects benefiting AI. The code, that the AI makes requires biz talk between developers and the AI. The development process is the interaction where the AI and developer play "ping pong" with software. That means, that the AI can operate in a test application and then the human developer tells how the code must be changed. The AI can automatically make code, that the programming application can change. But of course, the program requires adjustment for things like paths and other things. The system can run test applications on the server. 

The ability to make a large code that is ready for run is the thing, that makes the AI a powerful tool. That means the AI can create many things faster than before it. Another thing is that AI is the tool that allows even one man to begin quite a large programming project. This person requires at least basic programming skills. Like putting paths into the right form. And the code that the AI makes under the control of nonqualified coders might not be very beautiful.