The cosmic antimatter can be one thing behind dark energy.

  The cosmic antimatter can be one thing behind dark energy. 

There is a model that so-called sub-hadronic particles could be behind dark energy. Normally, people think that electrons and positrons form the particle-antiparticle pairs. But the fact is that almost every boson and fermion has anti-particle or mirror-particle pairs. 

One place where antimatter is are protons. Protons are much more than just two up, and one down quarks. Inside protons are numerous particles and antiparticles that are far smaller than electrons. Annihilation also happens between those other particle-antiparticle pairs. 

And that means electron-positron pairs are not only annihilating particles. The quark-anti-quark pairs can annihilate into a photon and wave movement. 

Can exotic annihilation like annihilation between gluons and anti-gluons explain dark energy? 

Same way. Gluons and anti-gluons or maybe neutrino-antineutrino can annihilate in, the same way as all other particle-antiparticle pairs. And maybe that thing could explain dark energy. The Schwinger effect forms the particle-antiparticle pairs. And if those particle-antiparticle pairs are too close to each other they annihilate. 

So if quasars send radiation beams that are turning into particle-antiparticle pairs that are not electron-positron pairs that thing could explain dark energy or some part of it. This annihilation where other particles than positrons and electrons annihilate can called exotic annihilation. One example of that kind of annihilation would be a case, where gluon-anti-gluon pairs annihilate. 

The quasars and other high-energy objects like pulsars can explain cosmic antimatter.

When quasars or some other high-energy objects send their radiation and particle beams some part of that material can turn into dark matter. Quasars are objects that form around black holes. When those objects send extremely high-energy radiation. That radiation can cause a situation. That is the point where the energy beam forms a point where there is no electromagnetism or quantum fields. The high energy radiation pushes quantum fields from around it. 

A similar thing can happen between energy beams of pulsars. If the pulsar cycle is high enough. That causes a situation where quantum fields have no time to fill that hole. And that forms the WARP channel in the track of that energy beam. When that energy beam hits the matter in the Milky Way that thing can cause a situation where the punch turns the particle's spin opposite. And that forms antimatter. 

And when that energy beam is left from the black hole it travels a short time in WARP-bubble. When those particles are traveling in a warp bubble suddenly they impact with electromagnetic fields and that impact causes a situation where those particle's spin turns opposite. That is the thing that forms antimatter. 

https://bigthink.com/starts-with-a-bang/pulsars-dark-matter-milky-way-antimatter/

https://neutrinos.fnal.gov/types/antineutrinos/

https://www.techexplorist.com/proton-complicated-expected-think-scientists/38011/

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

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

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

Maybe the future is genetically engineered humans.

    Maybe the future is genetically engineered humans. 

An imprisoned researcher who genetically modified babies believes that genetically manipulated humans are the future. When we think about genetic engineering and our genomes, we can ask why genetic engineers are not removing things like diabetes, Alzheimer and AIDS away by using genetic engineering. In the same way, somebody can ask why we don't give gene therapy for CP-handicapped and other kinds of people who have an error in their chromosomes. 

Some people say that this kind of gene therapy is against morals or ethics, but in the same way, we can ask if the lives of those people are so nice that we should not fix their genomes.  Why cannot we think of things like hereditary diseases as one disease like some virus infection or something like that? The fact is this the world is full of people who have money to take gene therapy. Gene therapy can improve IQ. 

And that kind of therapy gives many more abilities. The human intelligence is like many other types of intelligence. It creates systems that are more or less intelligent. So intelligence creates other intelligence. And that's why people are interested in things like AI. Genetic engineering can increase people's IQ. 

IQ is only one of the things that makes people productive. That productive thinking makes us create machines and other things to dominate the world. And that's why our nervous system and brains are the promising objects for genetic engineering. Genetic engineering makes it possible that people will get immune resistance against some viruses. And then that virus can turn into the ultimate weapon. 

The ability to interconnect species makes it possible. Humans will get better senses, stronger muscles or faster reactions, and faster renewing tissues. The ability to transform the DNA allows us to remove cancer from our species. Cancer is one of the deadliest diseases in the world. Sharks have no cancer and that thing makes those animals interesting. 

Same way sharks have electric senses, and humans have similar senses. That allows us to read other people's thoughts. All senses and abilities that species have without depending on species coded in the DNA, and what would you make with the ability to read thoughts or muscles that make you as strong as a gorilla or anaconda? 

In the same way, some reptilians are immune to the strongest neural poison, botulinum. That means nerve agents like VX do not affect cobras. 

Innovation requires full knowledge of the system that a person wants to use. The other things that the innovation requires are the ability and willingness to model the system. And that is a problem in innovations. People must have the ability to make new things. And they must dare to share their ideas. 

When we manipulate our brains we make things that will change the world. Brains are the creators of the systems and machines that allow humans to dominate the world. 

The human brain should be the user of the AI. That means humans should be the part who gives orders. And the AI should be the thing that follows those orders. But sometimes we are facing people who let machines think for them. AI will not turn master in our society if we do not give that position to it. 

https://bgr.com/science/imprisoned-scientist-who-gene-edited-babies-wanted-to-transform-the-human-species/

Image: ScitechDaily.com

Researchers created fully synthetic embryos.

  Researchers created fully synthetic embryos. 

Researchers at Weitzmann Scientific Institute created human embryos from stem cells without sperm and eggs. That kind of thing is a breakthrough in genetic research. The ability to create a human embryo from stem cells is one of the most interesting things in the world of cloning and genetic research. The "virgin born" embryo is the thing that causes very interesting thoughts about abilities to use that technology in positive and negative things. 

The Weizmann-institute embryos are similar to all other embryos. And that means somebody can "steal" one of those embryos and then use that embryo for artificial insemination. Artificial embryos are meant for cancer and other types of research. But maybe some people think that those embryos offer the possibility to make artificial people for some purposes that we cannot even imagine. 

Normally, when we think about genetic engineering and super soldiers that serve in the clone army we think of the system, where the blastula-stage embryo will split in two parts. Then the other one will be put in the freezer into liquid nitrogen. The other part of that sliptted embryo will grow as normal people. Then if that person does the duties well, the system can turn also another part of the embryo into life. There could be different groups of those embryos, and the system selects the best of the best. 

That kind of thing is interesting but at the same time frightening vision about things like the military. The ability to create a fully synthetic embryo means the ability to create a fully synthetic person. Those kinds of people have no connections with their parents. In some visions, the first people who will colonize the solar system and travel out from our planetary systems are that kind of clone. 

Technology that the Weizmann Institute used in that operation can also be used to make immortal crews for interstellar flights. The immortal crew means that all crew members will cloned, and then the system transfers their memories to those clones.  

https://www.bbc.com/news/health-66715669

https://www.indiatimes.com/technology/science-and-future/worlds-first-synthetic-embryos-576474.html

https://www.reuters.com/science/israeli-scientists-create-model-human-embryo-without-eggs-or-sperm-2023-09-07/

Black holes paradox. Can gravity waves escape from them?

   Black holes paradox. Can gravity waves escape from them? 

Black hole paradox gravitational waves cannot escape from the black hole. But black holes send gravitational waves. And if those gravitational waves are not coming from the black hole, what is their source? Is there some other "yet unknown" radiation with different wavelengths that we cannot see? 

The black hole paradox is interesting. Gravity should not escape from a black hole's massive gravity field. But if that thing is true, the black hole should not be able to pull anything inside it, because gravitational interaction happens through gravity waves. So if gravity waves do not interact with particles they could not pull material into the gravitational field. 

The gravitational waves are traveling gravitational fields, and that means they can interact with gravity fields. Same way electromagnetic waves have their origin in electromagnetic fields. Electromagnetic fields can manipulate electromagnetic field's shape and strength. Same way gravity wave has the same wavelength as a gravity field. And that affects its strength and shape. 

Does gravity exist in the fourth dimension? 

The fact is that natural forces are the same in all dimensions. In theories, the dimension is energy level. Jumping into the fourth dimension could happen by increasing the object's energy level. When the energy level rises the object loses its ability to interact with other 3D particles. So when that particle cannot exchange information with other particles, it leaves left 3D world and jumps into the fourth dimension. 

At that moment particle will lost. The fourth dimension is like our universe. And all natural forces are the same as in our universe. The fourth dimension is at a higher energy level than our three-dimensional universe. That causes the theory that there are lots of extra dimensions above our universe. Because extra dimensions above our third dimension are at higher energy levels. That means those extra dimensions are smaller than our third dimension.  

The theory about extra dimensions tells us that extra dimensions are like our third dimension. But its energy level is much higher than our universe. The thing about extra dimensions is that they are smaller than our universe. And in some theories, there are other civilizations behind the event horizons. But we cannot prove anything.

The vaporization of the black holes, tells that there is energy that travels out from black holes. Fourth dimensions exist in our Universe in the form of black holes. We cannot imagine what those universes look like because we cannot see four-dimensional material and wave movement out from it. But if there is some other wave movement than gravitational waves that can escape from black holes, that wave movement is invisible to us.  

https://bigthink.com/starts-with-a-bang/gravity-extra-dimensions/

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Chat GPT vs. Humans. The text made by Chat GPT makes it impossible to separate the text, made by humans.

 Chat GPT vs. Humans. The text made by Chat GPT makes it impossible to separate the text, made by humans. 

Text that Chats GPT made is impossible to separate from human-made texts. This thing is problematic in the case of plagiarism. Another problematic thing is the thing, that even the best scanners cannot separate texts that Chat GPT made from texts that humans made. The fact is that cheaters might use the AI rather at home than in an office or they will copy-paste the text that Chats GPT made into an empty Word document. Or they can simply write the text that they see on the cell phone's screen into the documents.

So even if the company denies access to the Chat GPT or Bing homepages, that will not affect things like cheating with the Chat GPT or Bing. AI is a rising tool, that has shown their potentials. And this kind of thing is always problematic because the company's purpose is to make money for its owners. 

"Linguistics experts struggled to differentiate between AI- and human-generated writing, with a positive identification rate of only 38.9%, according to a new study. Despite logical reasoning behind their choices, they were frequently incorrect, suggesting that short AI-generated texts can be as competent as human writing." (ScitechDaily.com/ChatGPT vs. Humans: Even Linguistic Experts Can’t Tell Who Wrote What)

And in that case, there is needed an effective attitude for jobs. AI is a tool that makes work faster and more effective than people. AI is a tool that companies must learn to use. The work's purpose is to make money for people. And people must do all the work effectively. The data systems' purpose is not to make things more difficult. Its mission is to make life easier, not to make things harder than they are. 

But the problem is that AI doesn't ever think about things, that it writes. This is the reason, why people should always check sources by going to those home pages. And in that case, they check the texts and their background. If there is some homepage where there is fake information. The AI will not recognize the data itself, or what the homepage involves. And that causes situations where the AI can make mistakes. 

The mistake is in the home pages that the AI selects. And that is the reason why people who use AI must have enough skills to make the estimation. People can improve the AI's skills to give it trusted information is to preselect the homepages list there is confirmed. The user can make a list of the links to the valid home pages. That helps the AI to select trusted information. 

Things like Scientific America are trusted sources, so the users should have the ability to determine what sources the AI should use. That thing decreases the possibility of making errors, because of the contents of the homepages.  The fact is, that AI is one of the most powerful tools. That means that kind of tool is extremely important for companies. The AI is the tool that makes work easier. And that makes companies give training for people to use that kind of system. 

https://scitechdaily.com/chatgpt-vs-humans-even-linguistic-experts-cant-tell-who-wrote-what/

The new observation tools make a revolution in material- and biological research.

  The new observation tools make a revolution in material- and biological research. 

The first image of superpositioned and entangled particles helps model ways to control them better. 

The ability to control systems requires that the manipulator sees the targeted system. The top image introduces the quantum ying and yang. That is the first image of a superpositioned and entangled photon pair. These kinds of images make it possible to control quantum entanglement better than ever before. 

Maybe quite soon the quantum computers can get stable quantum entanglements. The image shows that energy travels in quantum entanglement like wire travels between two rolls that roll wire from the first to the second roll. This is the reason why both particles in quantum entanglement reach the same energy level. And that breaks the entanglement. 

That means the quantum entanglement doesn't seem like a pulley at all. It looks like two rolls where yarn will travel from one roll to another. And this is the thing that makes quantum entanglement fill. Filling the quantum entanglement means that superpositioned and entangled particles reach the same energy level, and that breaks the quantum entanglement. 

The transmitting side of the quantum entanglement must be higher than the receiver. So for stabilizing the quantum entanglement energy must dumped out from the receiving particle so that its energy level is always lower than the transmitting particle. 

Stabilization of the quantum entanglement means that energy will transfer out from the receiving particle. And also photons are particles. The best way to make energy travel out from the receiving particle is to make the quantum or electromagnetic shadow at the point of the receiving particle. 

The system can use two extremely thin laser rays. The first laser ray sends energy and information into the transmitting particle. And then some other particle should cause the electromagnetic shadow at the point of the receiving particle. That electromagnetic shadow pulls energy out from it. 

"The reconstruction of a holographic image of two entangled photons (Image credit: Nature Photonics, Zia et al.)" (LiveScience.com/Quantum 'yin-yang' shows two photons being entangled in real-time)

The same systems used to make the image of quantum entanglement can revolutionize science and engineering. 

"Visualization of the SNOM (scanning near-field optical microscope) microscope tip exposing material to terahertz light. The colors on the material represent the light-scattering data, and the red and blue lines represent the terahertz waves. Credit: U. S. Department of Energy Ames National Lab"(ScitechDaily.com/Terahertz SNOM Microscope: New Tool Helps Improve Key Quantum Computing Circuit). The SNOM terahertz microscope group can operate like a compound eye. And that makes it a powerful tool.

The ultimate combination in new research where scientists want to observe the behavior of complex systems is terahertz-microscopes and AI. The terahertz microscopes see through barriers. And they can observe things like complex quantum systems and living cells in our bodies. The terahertz microscopes that cooperate with AI are tools. That makes it possible to create new types of complex material structures that are harder than any material before. The AI can handle and observe large structures and entireties. 

In high-class material research, terahertz microscopes observe reactions in the system, and then the AI controls energy flows in and out from the entirety. The ability to create new types of atomic and molecular structures revolutionizes many things in engineering and research of complicated molecular and sub-molecular systems. The ability to see systems makes it possible to control them with new accuracy. 

https://www.livescience.com/physics-mathematics/quantum-physics/quantum-yin-yang-shows-two-photons-being-entangled-in-real-time

https://scitechdaily.com/magnet-magic-how-ai-is-revolutionizing-material-discovery/

https://scitechdaily.com/new-microscope-uncovers-exciting-insights-into-promising-solar-cell-material/

https://scitechdaily.com/terahertz-snom-microscope-new-tool-helps-improve-key-quantum-computing-circuit/

There is no "nothing" in the quantum world.

   There is no "nothing" in the quantum world. 

The bubble theory goes like this. All material and quantum fields are one kind of bubble. And everywhere in the universe are quantum fields. Those quantum fields transport information, and there could be short and long-term vacuums or voids in those fields. When some of those voids collapse the quantum wave travels from the shell of that bubble into the middle of it. There that energy forms a standing wave and jumps back. 

That thing can explain why particles can form from emptiness. The particle is like a standing wave or power field in that quantum foam. In that model, the falling bubble in quantum foam can involve "sub foam". And then the outcoming quantum field or quantum foam just tries to press that bubble in. In that case, the pressure wave will lock in a certain position. 

The energy that comes outside the particle cannot press the internal energy or waves of a particle at one point. The ability to reach energy minimum causes a situation. Where energy travels back and forth in the border of that particle. When the bubble that we call a "particle" gets a lower energy level than the outside quantum field that causes a situation where that back and forth traveling energy locks the particle or bubble in its form. 

So could that interaction explain dark energy? The quantum foam would be the thing that interacts with all energy sources. And that thing could be one of the reasons why there is too much energy in the universe. 

In visions, there is a state of material called quantum foam. The density of quantum foam determines if we see that thing as wave movement or particles. In the case that material or elementary particles are like whisk-looking structures that spin very fast. Those strings that form the structure that we see as quarks or leptons are quantum lightning. 

So could that interaction explain dark energy? The quantum foam would be the thing that interacts with all energy sources. And that thing could be one of the reasons why there is too much energy in the universe. 

In visions, there is a state of material called quantum foam. The density of quantum foam determines if we see that thing as wave movement or particles. In the case that material or elementary particles are like whisk-looking structures that spin very fast. Those strings that form the structure that we see as quarks or leptons are quantum lightning. 

And there is the possibility that these kinds of things are one form of quantum foam. So when information travels somewhere the wave movement is a denser area in this quantum foam. And if there is some kind of empty area like Boötes void in the universe that thing can delete information that travels through those cosmic voids. 

We can think of information as the string that travels through the Boötes void, and when that string comes from the regular quantum foam to the low dense or empty point in that cosmic void the vacuum pulls it forward. That can cause a situation where the gravitational effect from backward pulls that string straight. 

So that thing is the extreme version of redshift. Because that quantum foam doesn't cause resistance the superstring starts to travel forward with extremely high speed. And then that extreme redshift pulls that string straight. The information cannot vanish. But it can be decrypted in a form that we cannot recognize it. 

In some visions, some kind of bubbles or miniature or quantum versions of Boötes void caused the famous Muon G-2 anomaly in Fermilab. Some kind of bubbles in quantum foam formed the small quantum vacuum that affected Muon's trajectories. There is a vision that those quantum voids pushed that quantum foam away from some areas. And maybe that thing explains the fifth force. 

The quantum foam explains why crossing the speed of light is so difficult. That quantum foam forms a similar quantum field as air molecules form. And that thing causes a thing called a light wall. The particle cannot press itself through the quantum foam because energy travels out from it at a critical moment. 

https://bigthink.com/hard-science/muon-g-2-new-physics/

https://bigthink.com/hard-science/nothing-exist-quantum-foam/

https://en.wikipedia.org/wiki/Bo%C3%B6tes_Void

Gravity doesn't begin instantly.

   Gravity doesn't begin instantly.

Gravity, or gravitational interaction, is one of the most powerful and dominating effects of what we know. We can describe gravitational interaction as the process where two particles or objects form a bridge and that bridge or energy tunnel pulls objects together. The size and density of the object determine its gravitational field. 

We can see that large and dense objects have strong gravitational fields. That thing causes an idea that quantum low pressure in the middle of the large particles causes a situation where quantum fields start to travel in the middle of the particle.

The outcoming gravitational radiation causes a thing called a gravity field. The reason why gravitational interaction doesn't begin immediately is that the tunnel where gravitation interacts. This tunnel is the thing that causes gravitational interaction between dark matter and visible matter. The gravitational tunnel must form before gravitational interaction can begin. 

The question is where that gravitational radiation comes from. Of course, we can say that it comes from a particle called graviton. And maybe graviton is the thing that forms interaction between gluon and quark. In that model, graviton could be like a small black hole between gluon and quark. 

In that model, large and dense objects can cover the gravitational nucleus. That thing denies outcoming radiation impact to the gravitational center. This causes situations where gravitational waves can travel longer than in the case of small and non-dense objects. There is no other limit for gravitational effect's distance than other gravitational waves. A large and dense object sends gravitational waves with stronger power than a low-mass object. 

Impacting gravity waves causes the situation that there are forming standing waves in that radiation. Those standing waves adjust gravitational waves into another frequency. Those other four frequencies and wavelengths are other fundamental interactions. 

The reason why gravitational interaction is so weak is in wavelength. But it interacts in long distances is that other interactions. That is wave movement with other wavelengths covering gravitational waves under them. 

Normally we use copper or other metallic antennas that are receiving electromagnetic wave movement. The gravitational interaction has so a short wavelength that it cannot resonate with those atoms in a large area that the resonance is detectable. 

All four fundamental forces are the quantum fields. And if there is only one force in the universe that could explain gravitation like this. When objects send gravitational radiation from the gravitational center. That gravitational interaction pushes other gravitational waves away. Then gravitational waves try to push that outcoming gravitational radiation back in the gravitational center. 

To force the gravitational radiation back into the gravitational center requires. It reaches a higher energy level than gravitational radiation that comes from the gravitational center. That outcoming radiation must store enough energy to make that thing. 

The outcoming gravitational waves that travel into the gravitational center form standing waves. And the height of those standing waves must be high enough. That they can push gravitational radiation back in. So the idea is this. Gravity is the base wave movement. Impacting gravitational waves form higher waves that are weak nuclear interaction, strong nuclear interaction, and electromagnetism. The difference between those forces is only wavelength. 

The gravitational interaction is based on the idea that when somewhere is an electromagnetic shadow. That means that electromagnetic fields start to travel to fill that area. The interesting thing is that gravitation seems to interact oppositely with other quantum fields or fundamental interactions.

The gravitational radiation is one of the biggest mysteries in the universe. That radiation pushes all other quantum fields away from the gravitational center. The thing that causes the pulling effect is the case that quantum fields impact with those gravitational waves. 

https://bigthink.com/starts-with-a-bang/gravity-doesnt-happen-instantly/

Negative thinking and computing.

 Negative thinking and computing. 

Vectors and inverse matrixes are ultimate combinations. 

When engineers are thinking about problems, they should think through a problem. The idea is similar to vector calculations in mathematics. The idea is the opposite of the regular way, where people try to go from point A to point B by following the shortest route. 

A typical vectorial way to think about things is this: the teacher wants to walk from the house's door to the car across the yard, and during that journey teacher will get a snow shower from the warehouse. The idea is that we can go from point A to point B through point C. The journey is longer but it's still a journey from point A to point B. 

In data security, the vector model means that the sender system can send the cipher key into different routes or at different times for receivers. The idea is that once a day the server system sends the list of decryption algorithms to receivers. Then before the message the server sends code to the receiver which decryption keys it must use in the message. 

The receiver can get that number in physical form. The number of active optical fibers in the light cable can tell what decryption key the receiver must use. The quantum system can also use forms which means optical fibers must form certain images so that the receiver can find the right decryption key. 

So why don't we think "what something is not"? 

Negative thinking in computing means that the system thinks "What object is not"? Positive thinking means that the system simply thinks. That the "object is". 

The ability to eliminate impossible things is a key element in the AI. But sometimes people do not think. They should also ask, "Why something is impossible"? Is the thing that makes something impossible only that nobody has tried or has written about that before? Or is something impossible because nobody invests money in it? 

The negative way to close and handle problems helps to find weaknesses in models. And also find new corners and new dimensions from the object. A negative way to close problems helps to find new ways to handle them. '

Above: Inverse Matrix (QuantaMagazine/Alan Turing and the Power of Negative Thinking)

Inverse matrix and cryptology. 

Alan Turing's idea of negative thinking is the opposite or inverse matrix. The inverse matrix is the tool that helps to calculate formulas and calculations backward. This thing helps in error handling. The inverse matrix is the tool that also decrypts information. In the encryption process, the cipher key will count binary numbers to encrypt the ASCII code. And that thing makes computers unable to open the message without a decryption key. In the decryption process receiving system calculates those encyption calculations backward. 

These encryption systems are necessary for things like GSM (5G,6G...) type of communication. The idea is that devices open only data packets that senders marked by a certain number series. That allows to send information into multiple systems at the same time by using the same frequency. 

The inverse matrix is one tool that cryptologists use when they try to break computerized codes. So they try to get the decryption algorithms in their hands. An inverse matrix is simple to model in binary systems. 

Matrix

11110001110011...

Inverse matrix

00001110001100...

So as you see, zeros and ones have just changed their place. And this thing makes computers possible to crack the code. The quantum system is hard to crack because there is also a physical part in the system, and even a virtual quantum system is hard to crack. 

The quantum random number generators are tools that make information transportation safer. If information travels in the light cable the random number generator can random how many and which optical fibers the system uses in data transportation. In the place of optical fiber could be the group of radio frequencies or the signal strength also can be the key that the receiving system uses. 

In the simplest models if the signal's strength is wrong. The receivers simply route it into the zero gate and crush it. The changing single strength can make it possible for the signal to act like a physical key. The changes in the signal's power are acting like groove depths in the physical key. 

Quantum communication, the system cuts information into pieces by using TCP/IP protocol-type protocols. And then it sends information pieces through different routes. 

So that means even if one route is dangered because of the eavesdrops those operators cannot get the full message. The optical fibers in the optical cable can form a certain form that is like a laser key. And that form activates certain inverse matrices that the receiving system can use for decrypting messages. 

https://www.quantamagazine.org/alan-turing-and-the-power-of-negative-thinking-20230905/

https://scitechdaily.com/better-cybersecurity-with-a-new-quantum-random-number-generator/

Images: 

https://www.quantamagazine.org/alan-turing-and-the-power-of-negative-thinking-20230905/

The next-generation quantum chip looks like a chessboard.

The next-generation quantum chip looks like a chessboard. 

The ideal neural network is multiple independently operating microprocessors. The most powerful version of that kind of system is a neural quantum network. The neural quantum network is like a regular neural network. That works on binary computers. 

However, the neural quantum computer is more powerful than any binary network ever can be.  The reason why researchers are working in this kind of area is that. New material types require extremely highly accurate cooperation between sensors and systems that manipulate molecules and atoms. 

The brand new quantum chip makes the controlled quantum neural network closer than ever before. The new quantum chip has 16 squares. Those squares can activated by using number and letter combinations. In that model, the quantum computing system can use a similar system as a chessboard. 

The chessboard-like structure where every single square is independently operating microchips. In that kind of structure, microchips can operate independently trying to solve multiple problems every time. The CPU (Central Processing Unit) or the top processor that shares information with those processors can cut information into pieces. 

Then that system can send those bites to all processors. And after data travels around chips they can deliver their answer back to the CPU that collects information bites back to one entirety. In that model group of binary computers or binary microchips can operate as virtual quantum computers. This structure makes the system more powerful than regular computers. 

"Photograph of the quantum chip hosting the 16 quantum dot crossbar array, seamlessly integrated to a chessboard motif. Every quantum dot, like a pawn on a chessboard, is uniquely identifiable and controllable using a coordinate system of letters and numbers. Photo credit: Marieke de Lorijn for QuTech. Credit: Marieke de Lorijn for QuTech" (ScitechDaily.com/Checkmate! Quantum Computing Breakthrough Via Scalable Quantum Dot Chessboard)

The chessboard-looking microchip entirety can operate with multiple programs at the same time. And that makes this kind of system a suitable control unit for man-shaped robots. But the thing that can be a game-changer could be the superconductor, which superconductivity the system can adjust by using pressure. 

Adjusting pressure is possible to create superconducting material where superconducting can cut when the system doesn't require it. This kind of system can be suitable for next-generation mass memories. 

The ADNR (Aggregated Diamond NanoRods) are the strongest known materials. They are stronger than diamonds. The reason for that is those carbon atoms are so close to each other. And that thing makes ADNR so strong. The ADNR can be the base element for the room- or high-temperature superconductors. The superconducting wire can travel inside the ADNR tube. 

The ANCR nanotubes can form a new type of armor. The  ADNR nanotubes can form a structure that looks like gold neckless. But the ANCR nanotubes form this ring. And that thing could someday work as one of the hardest armors in the world. 

The LK-99 was not superconducting at room temperature. But if it is possible to create a superconductor that can transport electricity without resistance in temperatures -99 to zero Celsius that kind of material can be promising for the next-generation quantum systems. The idea is that the high-temperature superconductor requires pressure to stabilize its structure. 

In that kind of system, the pressure system can adjust superconductivity. The material can be in the two-camber box. When superconductivity is needed the pressure system increases pressure in that chamber. When superconductivity must be cut, the pressure system decreases pressure in the chamber where the superconducting material is. 

https://scitechdaily.com/checkmate-quantum-computing-breakthrough-via-scalable-quantum-dot-chessboard/?expand_article=1

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

Shield AI successfully coordinated three Lockheed-Martin 3V-BAT drones as a team.

 Shield AI successfully coordinated three Lockheed-Martin 3V-BAT drones as a team. 

This kind of experiment might not seem very impressive. The fact is this: the ability to control ultimate situations requires full cooperation between manned and unmanned systems in and over operational areas. The new systems require new tactics and countertactics. Drones have shown their capacities in the Ukraine war. 

And especially, cheap cardboard drones are the tool that requires new types of counteractions. Those drones are hard to detect, and they can be loaded onto vans or even garbage trucks. Then the patrol can slip to the strike distance from the airbase. 

Cardboard drones are cheap next-generation tools. They predict the next-generation military thinking. There are two routes in military systems. The first route is expensive manned systems. Those systems use quantum stealth and sophisticated systems. 

Above: Three V-BAT Team (Interesting Engineering/Shield AI's 'Hivemind' controlled 3 V-BATs as a team)

They are flying with high supersonic or hypersonic speed if they are aircraft. The other routes are cheap and more limited drones whose mission is to search targets for those manned systems. Some drones have only one sensor like an IR camera and they can be used to find targets for ground attack aircraft. 

In future tactics, the ground attack aircraft wait for their target position behind their air defense. And then they strike at very high speed. Modern air defense causes situations in which ground attack aircraft cannot patrol near enemy lines as before. So the drones can search for targets for them. Same way drones can take off air defense missiles and pull missile fire against them. 

Commanders can use cheap and simple systems such as decoys. And one mission of those decoy drones is to protect the manned systems. Those decoy drones force the enemy to shoot them. And as attacks against power plants are shown none of those drones can let to fly to their targets. That can be used as mass swarms. They can fly above operational areas and send information to their commanders. And when their fuel ends, the drone can make a kamikaze attack against Target. Or make deep penetration strikes. The 3D printer systems can make those drones even from recycled materials. 

The AI can control those systems and it improves its survivability. The AI is a game changer in both offensive and defensive systems. The AI itself is cheap. The only thing that is needed is the program code. Then the system can download the AI to all systems. The AI can make even the cheapest drones effective and destructive weapons. 

https://interestingengineering.com/military/shield-ai-v-bat-drones

The neural network is the mind of the tiger. The neural network is the mind of the tiger.

 The neural network is the mind of the tiger. 

The difference between traditional computers and neural networks is the role of the CPU. In traditional computers, the CPU (Central Processing Unit) makes all work, and that causes limits in computing. In neural networks, the CPU preprocesses data that senses send into it. That means the CPU will just recognize the situation and then resend it to a sub-processing unit. The receiving sub-system must have responsibility for that kind of case. That means the subsystem has databases where there are reactions for certain types of events. 

In neural networks, all sub-networks use sorted data. And they are meant to respond to things that senses are sending to the neural network. Each of the subnetworks has certain operational or response areas. And the CPU is like some kind of router. The system finds certain details from the data. Then it can route the information to the right subnetwork. In real life, neural networks could be multiple subnetworks. They can act as AI-based event handlers. 

The complete neural network requires that all sub-networks have also a physical system that runs them. In that case, the system has multiple workstations that run the AI-based systems. In that case, the system will decrease the use of the top CPU. If the system uses multiple independently operating workstations. At can handle multiple problems at the same time. Error detection happens when the neural network uses two or more independently operating data handling units at the same time. 

In an ideal situation, the CPU of the neural network is working as a router that can send information to independently operating subsystems. The independent subsystem has a physical computer and its CPU. In that case, the common CPU of those multiple networked workstations sends a message to a certain subunit, and then the AI-based subunit will make the mission and the system sends the data back to the CPU. 

The shape of the neural network is free. The neural network can be a drone swarm. Or it can be the lots of workstations in some warehouse. The neural networks can collect information from multiple sources. And the neural system's power is that it shares data between multiple computers. The neural network doesn't necessarily learn anything. But it can collect data from very large areas. 

The learning neural network follows some parameters for making its duty. The thing that can be the parameter is the drone that operated the longest time in a certain area. The system can store information about the routes and other things that drones use. Then it can multiply the longest-standing drone's operational profile to another drone. 

And of course system must have multiple parameters like when drones were seen, and where the first impact came. The system interconnects the data from all members of the drone swarm. And then it tries to create an ideal flight path to the target. Here we must remember that the same drone that used to deliver pizza can deliver at least hand grenades. The neural network can interconnect multiple systems like surveillance cameras, satellites, and other things like drone swarms. 

Researchers found a structure in our brain that might be responsible for cognitive functions.

 Researchers found a structure in our brain that might be responsible for cognitive functions.  

The fruit flies have astonishing mathematical abilities. And the purpose of that thing is to protect them against things like parasitic wasps. The intelligence of insects is quite a new area in neurobiology. The thing that researchers noticed astonishing mathematical abilities when they researched fruit flies caused a question about those kinds of basically abstract skills "only reflexes". 

Things like communal or social insects require mathematical skills to find parasitic wasps when they attempt to go inside their nest. To protect their nest bees and other social insects require information on how many bees are left from the base. 

And then they must have a recognition protocol to recognize members of their swarms. They need the ability to follow their swarm mates' behavior to avoid the fungus infection. So the insects have only the skills that they need. And they need lots of skills. If we think about the size of their brain. 

Researchers have noticed that fruit flies brains react similar way to threats as the human brain reacts. And that thing gives new abilities and thoughts for modeling reactions in the human brain. 

"Scientists have discovered that human brain signals form swirling spirals on the outer layer of neural tissue, which play a crucial role in organizing brain activity and cognitive processes. This discovery, based on fMRI scans, could advance our understanding of brain dynamics, potentially leading to better computational models and insights into brain diseases like dementia". (ScitechDaily.com/The Missing Link in Cognitive Processing? Scientists Discover Swirling Spirals in the Brain)

The question is are things like mathematical abilities reflexes? Are all our functions and cognitive skills only the series of reflexes? 

Researchers found whirling spiral-shaped structures in our brains. Those structures might be part of the structure or system that controls cognitive functions in our brain. Cognitive function means voluntary learning, and in that process brain selects what kind of information it wants to store in the brain. And that thing means cognitive learning means the ability to send information through the brain. 

During that process, the brain selects the information that it wants to store. The spiral-looking structure makes it possible to drive information through the brain. And during that process, the brain areas can first store that information in themselves. Then those neurons will make a network and decide do they need those memories. 

If they don't need some memories, the brain drives them straight to the garbage. The idea is that cognitive learning or storing data happens when information travels through those neural spirals a second time. If information is not needed, it will not stored in memory cells. 

The number of memory cells is impressive, but that number is limited. Cognitive skills like mathematics require that the brain release the information that they get is important for something. The neural spiral makes it possible for humans. We can also analyze information more effectively than bees. 

The bees can react more effectively than humans, but bees can't make abstract decisions. The abstract decision means that humans can make so-called "empty decisions". When some bee sees something that seems a threat it always jumps airborne. The observation is connected to reflex. Humans have reflex cells. But we also have cells that are learning new things. 

The human reflex neuron protects humans against things like falling or some strike that comes to the face. But cells that are thinking are separated from that system. And that allows humans to learn things like mathematics. 

Fruit flies have astonishing mathematical abilities. Insects require this ability for one thing. They need mathematical abilities and fast calculation to avoid the intruders like parasitic wasps. There is a possibility that the skills of those neurons could transfer to the human brain neurons. And that could improve the mathematical skills of humans. 

Maybe that thing is only some kind of futuristic vision. However, researchers are making tests by using brain simulation to adjust the brain to learn mathematics. Mathematics is the abstract thing that requires that a person follows certain orders. 

Researchers use electric shocks to improve mathematical skills. The fact is that the brain cells are interacting by using certain types of chemicals and signals. In neural models, the same signals and chemicals that make fruit flies able to calculate things are also making human brain cells make the same things. 

https://mindmatters.ai/2022/02/single-neurons-perform-complex-math-even-in-fruit-flies/

https://neurosciencenews.com/locomotion-brain-center-23868/

https://scitechdaily.com/electrifying-learning-how-brain-stimulation-can-improve-math-learning/?expand_article=1

https://scitechdaily.com/perceiving-quantities-fruit-flies-astonishing-numerical-abilities/

https://scitechdaily.com/the-missing-link-in-cognitive-processing-scientists-discover-swirling-spirals-in-the-brain/

Bees are making decisions more effectively than humans.

 Bees are making decisions more effectively than humans.

The reason why researchers are researching the bees' nervous system is simple. Researchers can use this kind of data can use to develop next-generation AI-based infrastructures. The CPU in non-centralized neural networks only delivers missions to the system. 

The idea is that the CPU (Central Processing Unit) delivers the mission to the sub-system. That can be the RISC (Reduced instruction set computer system). When we think about the human-looking robots, the pneumatic-hydraulic system and the microprocessors that control them are RISC systems. 

Many times before this researchers claim that insects make faster and more precise than humans. There are a couple of reasons why insects like bees make better decisions than humans. If we compare the bees to humans bees are like RISC operators. RISC-operator is a computer that has fewer actions than a regular PC. 

That makes RISC -devices more effective than PCs but their operational sector or skills are more limited than regular PCs have. If we compare a bee with a human that situation is similar as we compare a pocket calculator with a PC. We can make basic calculations faster if we use a pocket calculator. 

Then if we use a PC for that thing we need a computer program and the regular keyboard is not as fast as a pocket calculator. But a regular PC can do many other things. Then just calculate some basic calculations. The number of skills of that computer depends on the data and programs that it has access to. 

The bee has a limited number of skills. And that means there are not many choices that the bee's nervous system can use to select the necessary operations. In the bee's nervous system are not many neurons. And that means the bee must not go through about 100 billion neurons when the bee wants to make something. There are about 950,000 neurons in the bee's brain.

In the brain, the number of physical neurons is not important in the case of decisions. In the thinking process, the most important thing is how to interconnect memory cells into new virtual neurons that can interconnect their data together. 

"New research unveils the decision-making pathways in bee brains, shedding light on their ability to quickly and accurately assess flowers for nectar, which could inspire more autonomous robot designs. The study, led by various academic experts, also emphasizes the efficiency of evolutionarily refined insect brains that could guide future AI development in industries. Credit: Théotime Colin" (Researchers Discover That Bees Can Make Decisions Better and Faster Than We Do)

In reflexes, the position of those memory cells is more important. The thing that makes the reflex effective is the position of memory cells. If memory cells are close to muscle cells each of those cells includes multiple images. That thing makes them more effective. In this case, the net eyes of the bee send images to neurons. 

The image always activates neurons and it sends signals to muscles. The reason for multiple connections in a bee's brain is that the eyes send images to the memory cells. The thing that determines do the bee escapes or not is how many memory cells activate. So the bee's nervous system doesn't send anything back. 

All impulses travel in the same direction. And when they activate the neurons that control muscles, those cells send the signals to muscles anyway. That means some decisions that bees make are a series of reflexes. That causes the question: Do human thinking and human actions also series of reflexes? What if a bee has 200 billion reflexes?

But I don't know if that number is made by calculating physical neurons or if that number is obtained by calculating virtual neurons, which form when neurons interconnect with other neurons. There are more synaptic connections in bee's brains than in human brains. And my opinion is that. We should rather calculate virtual neurons than physical neurons. 

Every connection between the bee's brain cells same way as in the human brain gives a new state to that system. Theoretically is possible that researchers create a single neuron system that is as intelligent as humans. But that thing requires the neuron to have 300 billion circular connections where the axon is connected to that neuron itself. 

Bee's brains are acting in a similar way to human brains. There are memory cells. And every memory cell involves some sensorial data or reaction for those senses. Some other memory cells tell neurons and the router cells how they must send signals to the muscle cells. 

If we think that a bee has a limited number of actions. We can understand why it's so effective. We can think that all skills are memories. And memories are stored in some kind of warehouse. If the number of skills that bees have is like a book, the human has warehouse class skills and abilities. If we had only about 5 or four skills and we had to select from them the selection process would be very fast. But if we have 100 or more skills that gives a response to the event. 

That our senses send to us that thing takes far longer time than in the case that we have only 5 or fewer skills. All skills that humans have formed from sub-skills. So the network or the puzzle of neurons that form virtual neurons is making all our skills. Our skills are more complicated than some bees whose only mission is to find food and then return to the nest. So the only skill that the bee needs is how to find food. And then how to avoid the predators. 

https://scitechdaily.com/researchers-discover-that-bees-can-make-decisions-better-and-faster-than-we-do/

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

The AI takes jobs from trained people.

 The AI takes jobs from trained people.

It's not a coincidence that CHat GPT and AI are becoming common things in the ICT sector. The competition in the ICT sector is very hard. And even if a person works for years for the same company, that doesn't guarantee that the ICT worker even sees other workers or talks with anybody in the workplace. 

Outsourcing the ICT operations causes a situation even if a person works years for the same wage payer. The entire career feels like a series of fixed employment. Customers can offer competition once a year for ICT operators. And if own company does not get the job, that causes a situation, where those workers must change their workplace. 

Remote work guarantees that the company where those ICT- people work is only the name on the salary receipt. And if that name hangs years in those papers, the workers change their working position maybe once in month or week. Some people have an attitude that ICT is the sector for people who will not get studies from other sectors. 

The AI is the tool that changes the world. The fast-growing use of AI is something that nobody could predict. The AI is everywhere, it interconnects services and skills. And it beats people in many areas. People are afraid that people like students use AI for making their essays, and that is one thing that requires prediction. 

Of course, the Chat GPT may put secret code in those files that it made the text. But those marks are easy to remove or turn by using copypaste. Or the person can simply write texts from a mobile telephone screen to document. The problematic thing is that cheaters would use those AIs at home out of other people's eyes. So in those cases denying those homepages is not working. 

We know that being effective requires the ability to use new, state-of-the-art tools. The reason people, like programmers, start to use Chat GPT-type chatbots for making their jobs is effectiveness. There is always a hurry in business life. The requirement for making jobs well and fast forces people to use AI-based assistants. 

When a young trainee comes ICT company's service those people face a new type of situation. Some work leaders wait for those rookies who know everything about coding. 

There is nobody who has time to even look at the code, that person makes. Competition for those positions as hired full-time coders is very bloody. And that means there is full-time stress in those works. If the coder cannot make code that runs well, that causes a situation where the boss says, you are off. And that means the person will divorced. 

The AI makes works better, and the reason why companies like that thing is simple. They must not hire people. The AI doesn't make similar mistakes as humans. The thing that is used to argue that AI is the same as employers argue a fixed time work relationships. The purpose of companies is not to be social security offices. And if there is no work to do, nobody is hired. 

The black swans always participate in every success in human life.

 The black swans always participate in every success in human life. 

Sometimes black swan determined possible. But an extremely unlikely event. And in some other cases back swans are determined as things that are not visible to outsiders. 

If we say that the white swan phenomenon is the thing that was planned. The black swan means nonplanned and nonpredicted things. And when we say that somebody has success in life, the white swan predicted and calculated things plays a big role in that thing. But nonpredicted things have at least the same size effect. 

When we think about the modern way to see things we must understand that the WTC Terror strike in 9/11/2001 caused a situation where many things re-estimated. That horrible terror strike is one of the examples of large areas or global black swans. There was nothing wrong with hostage procedures and airport security, but the people who did that thing didn't predict that terrorists would commit suicide during that strike. That is one example of the negative black swan. The person behind that strike was Osama bin Laden. 

Another person with a great effect on the world is Elon Musk. Who would predict that someday start-up called SpaceX will turn into a global force? Today Space X and other private space companies have begun a business that has never been seen before. 

Image (C) Ossi Saarinen

 In every case at least as many invisible things as visible things. 

The Space X controls a large satellite fleet of Starlink satellites. And as we know all satellites are kinetic weapons if they travel to the wrong trajectory. Impact with other satellites makes both participants a cloud of melted metal. Same way if a large-scale operator who operates communication satellites refuses to transmit information that doesn't please that operator, it can cause a bad situation. 

In the same way, we can say that things like learning neural networks and AI-based chatbots that can make even university-level essays are one version of black swans. The AI itself predicted, but nobody predicted that the Open AI would bring that kind of chatbot in front of human eyes. Another thing that could not predicted was that Chat GPT is free to use. 

The volume or speed of change can make the predicted and well-controlled things very hard to control. Effectiveness and other kinds of things are values in business. If there is no work for some person, that person is divorced. 

And people who are working in some companies must keep their skills at the level, that they fit in work life. The AI and learning neural networks are things that can make code very fast. And the human operators cannot even imagine. That they can make so much error-free code in a certain time unit. 

The Pentagon has no evidence of extraterrestrial connections or physics laws breaking aerial vehicles.

   The Pentagon has no evidence of extraterrestrial connections or physics laws breaking aerial vehicles. 

The Pentagon UFO paper says that AARO (All-Domain Anomaly Resolution Office) continues its work. There is no evidence that the alien spacecraft are operating in the atmosphere. And the second thing is that those UFOs are not working against physics laws. If we think of things like Leonardo da Vinci's tank that structure is easy to modify into an aerial vehicle with extraordinary maneuver ability. The system requires quadcopter's rotors under it. And then those jet engines will replace those guns. 

A thing that makes those UAPs or UFOs interesting is that nobody seems or even claims to own them. If some people like Vladimir Putin are behind those things they will tell that to us in Russian TV. 

"A still from footage shot by a United States MQ-9 reaper drone showing what appears to be an unidentified spherical object soaring through the air. (Image credit: U.S. Dept. of Defense)" (Space.com/Pentagon has 'no credible evidence' of aliens or UFOs that defy physics)

The exception was Chinese recon balls. The mystical silver balls can also be the recon systems, where the recon gondola is inside that ball. The silver ball is lighter than air, and its shell collects electromagnetic radiation that the gondola records. Some UFOs might be holograms, whose mission is to turn people to look in another direction when some stealth bombers are making secretive maneuvers.

Maybe UFOs or at least some flying saucers are circular-wing aircraft. A circular wing makes it possible to turn aircraft into Tesla coils. And that thing caused the need to research that technology.  The circular wing aircraft were reseached in Germany and the USA. 

Sometimes people claim that some UFO papers are secretive because the makers of those systems have backgrounds in Waffen SS. And that thing was embarrassing after WW2. 

In real visions, LRVs should be nuclear-powered. But there is the possibility that only conventional jet-engine-based systems, or trailed mock-up systems flew. There is also the possibility that full-scale mock-up models without technology produced during that project. The purpose of those mock-ups was to test those systems' aerodynamic abilities. 

Above Lenticular Re-entry vehicle. (LRV). It's possible that some people who saw "flying saucers" see this kind of device. 

Above Avro Avrocar. The most well-known flying saucer. Below is the militarized version of the Avrocar that is equipped with two heavy anti-tank bazookas and an air cushion that allows them to make low-altitude attacks against enemy surface units. 

Artist's impression of what LRV looks like if it flies with F-86. 

Nazi connections. In some stories, the USAF and Avro Canada used nazi-researchers to create the LRV and Avro Avrocar. 

There are claims that Waffen SS (SS-E-IV) worked with the "V-5" system during WW2 where radially installed jet or liquid-fuel rocket engines gave that system extremely high-performance maneuverability. The fact is that nazis worked with saucer-shaped aerial vehicles, but V-5 probably existed only on paper, the model was theoretical. Those large-size flying vehicles were purely over-estimation of technology. The real Nazi UFOs were much more humbler than some house-size things. 

Above Sack AS-6 (https://de.wikipedia.org/wiki/Sack_AS-6)

And maybe it was not even meant to fly. The stories of Nazi antigravitation are tests where magnetic repellent is used to push objects upward. The idea was to make the system work like a yoyo. And that thing could load the batteries of some flying vehicles. The BMW Flugerad was a system that used one large propeller. There is the possibility that the Flugerad should use a similar opposite rotating propeller pair as Kamov helicopters. Tilting those rotors makes it possible to control the craft. 

The BMW worked with Flugerad systems that were propeller-using flying saucers. And the large-size propeller that Flugerad used could make it noiseless.  At the end of WW2 Nazis worked desperately to find some energy source that replaces petroleum. There was probably an idea that the BMW Flugerad would equipped with an induction engine. 

And if the radial hoop and propeller are rotated by using rockets, that thing could load batteries. There is the possibility that the Flugerad could plan to act as a Tesla coil. And if positive and negative tesla coils are at opposite sides of the aircraft. That electric arc can even destroy it. 

The thing is that the USA used some of those nazi engineer's services after the WW2. And that thing could be behind some secrecy. 

https://www.aaro.mil/

https://www.dailystar.co.uk/news/weird-news/nazi-ufo-hitler-flying-saucer-17243184

https://www.nevingtonwarmuseum.com/bmw-flugelrad-iii.html

https://en.wikipedia.org/wiki/Sack_AS-6

https://www.space.com/pentagon-aaro-ufo-hearing-april-2023

https://www.space.com/pentagon-ufo-office-new-website-report-sighting

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

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

ILLUMINA-T the new high-power laser-communication system can improve and make satellite communication more powerful.

ILLUMINA-T the new high-power laser-communication system can improve and make satellite communication more powerful.

ILLUMINA-T laser system uses ground-based lasers-communication tools, aimed at targets by using orbital mirrors. Laser communication systems are not so easy to jam as radio waves. Laser rays can be used as a very high-secure communication tool. In some visions, the hollow laser ray covers information carrier laser rays. Because information carriers are traveling in the hollow laser ray, stealing information is very difficult. 

If somebody tries to push some sensor through the outer laser ray the system sees changes in the power of that protecting laser ray.

That means they see if somebody tries to steal information by eavesdropping messages. And that makes laser communication secure. 

 In some versions, laser ray protects the radio maser beam in that channel. That allows the system to communicate through the wall. 

The limits of the regular laser rays are that they cannot travel through walls without making holes into the walls. This is why there is lots of research about X- and gamma-ray lasers. Those lasers can transport information through walls without harming it. 

"NASA’s ILLUMA-T payload communicating with LCRD over laser signals. Credit: NASA/Dave Ryan" (ScitechDaily.com/NASA’s ILLUMA-T: Pioneering the Next Era of Laser Space Communications)

"NASA’s Laser Communications Roadmap. Credit: NASA / Dave Ryan" (ScitechDaily.com/(ScitechDaily.com/NASA’s ILLUMA-T: Pioneering the Next Era of Laser Space Communications)

But similar technology that is used in ILLUMINA-T can be used in laser weapons. The difference between laser communication and laser weapons is the energy ray's power. In some space-weapon models, ground-based high-power megawatt-scale laser systems send their laser rays to the mirrors at the orbiter.

The power of those laser rays would be high enough that they destroy satellites. In those weaponized models, the laser system is static, and the mirrors at the exhaust tube in front of the mouth of the laser aim the laser rays into mirror satellites. 

If those lasers are positioned in an X-shape formation those mirrors can cover 360-degree areas. The same lasers can be used as the message lasers, and if the system must use them as weapons they must just adjust their power to a destructive level. The most powerful lasers can produce over 2000 terawatt power. 

That power will break those laser mirrors immediately. But it is possible. These kinds of ultra-powerful lasers can be dangerous also for ground targets. 

Even if orbital mirrors are single used in that power level they still have time to aim laser ray into the target. If a 2000 terawatt laser system shoots its beam through the orbiter, it could destroy at least high-flying aircraft. The laser weapon can also as a scientific tool, and only if that weapon is needed the operators can put the mirrors in the right points and those laser rays can conduct out from the laboratory by using channels that are made for that purpose. 

https://scitechdaily.com/nasas-illuma-t-pioneering-the-next-era-of-laser-space-communications/?expand_article=1

What happens to all black holes?

  What happens to all black holes?

 

Are gravity waves the same as Hawking's radiation? 

How can photons escape from a black hole? The fact is that black holes transform all radiation that drops in it into gravitational radiation. Gravitational waves or gravitational radiation is one form of wave movement. If there is a suitable object. That can resonate with the right frequency and wavelength, it's possible to transform any fundamental interaction into another. 

The reason for that is this. All four fundamental forces or fundamental interactions have wave movement and particle forms. 

Chancing the wavelength of those wavelengths that bosons the transportation particles send turns the fundamental interaction into another. So changing the fundamental interaction into another like electromagnetism to weak nuclear interaction happens by changing the wavelength of those interactions. 

Black holes are sending gravity waves, and gravity is one form of radiation. When Stephen Hawking made his famous idea of Hawking's radiation or radiation that could escape from the black hole. 

The gravitational wave's existence was purely hypothetical. LIGO sensor found gravitational radiation in 2015. And Hawking died in 2018. There is the possibility that Hawking didn't have the will or ability to comment on the gravity waves. Gravity waves are causing the idea that maybe Hawking's radiation is gravity waves. 

"A research study using the James Webb Space Telescope has found that active galactic nuclei, supermassive black holes that grow rapidly, are less common than previously thought. This discovery suggests a more stable universe and provides insights into faint galaxies and challenges in identifying these nuclei." (ScitechDaily.com/What Happened to All the Supermassive Black Holes? Astronomers Surprised by Webb Data)

"While distant host galaxies for quasars and active galactic nuclei can often be imaged in visible/infrared light, the jets themselves and the surrounding emission is best viewed in both the X-ray and the radio, as illustrated here for the galaxy Hercules A. It takes a black hole to power an engine such as this, but that doesn’t necessarily mean that this is matter/radiation escaping from inside the event horizon." (BigThink.com/Ask Ethan: How does light escape from a black hole?)

We can say that the radiation jets from black holes have a connection with vaporization where black holes turn to radiation. The black holes help to create models that explain the gravitation. The result is that gravitation requires resistance or some kind of quantum field that presses particles or objects like a black hole into its form. Without that resistance or outside qauntum field black hole's vaporization turns so fast that it detonates. 

The fate of all black holes is vaporization. Those things turn into wave movement. And the reason for that is that no energy can replace the radiation that black holes send. Because black holes are losing mass, that means they send radiation. The wavelength of that radiation is gravity radiation or gravity waves. So black holes send radiation in the form of gravity waves. 

When black holes form in a supernova explosion. All material and energy will packed in the entirety called singularity. During a supernova explosion, the explosion blows all quantum fields out from the star. And then those quantum fields drop back to the place. Where stars have been.

Those falling quantum fields press all electrons, quantum fields, and quarks into an entirety that is smaller than atoms. Materia is one energy form and those quantum fields raise singularity's energy level so high that nothing can reach it. So black holes start to send gravitational radiation in the form of gravity waves around the universe. 

Two models can explain gravitational radiation and electromagnetic pikes at the black hole's poles. The idea in both models is that the singularity is so high-energy particle or object that nothing can cross the radiation wall around it. In some models, Hawking's radiation and the gravity waves that the black hole sends are the same thing. 

Whenever a singularity sends gravitational radiation it loses a little bit of its mass. Singularty's energy level is higher than any other particle, which means it can send radiation only in one direction. And that means nothing can replace that energy. This is the thing that causes the vaporization of black holes. 

Black holes are not black. They send radiation called gravity waves. So that means black holes are tensors that are turning all radiation that drops in that thing to gravitational radiation. There is the possibility that radiation that travels through the event horizon turns to gravitational radiation or gravity waves when they impact the singularity. In that model the energy reaches singularity but it cannot touch it and replace the lost energy that travels out from the black hole in the form of gravity waves. 

Model 1)

This model goes like this: When material and energy travel around the event horizon black hole pulls radiation in it. That radiation travels into the black hole and then reflects from the quantum gravity field around the singularity. The gravitational waves could fill the sphere behind the event horizon with radiation. And then sooner or later, that radiation goes too far from the singularity forming radiation that we see outside the black hole's event horizon. 

Black holes can pull radiation and material inside it. But that material and energy cannot reach the singularity in the middle of a black hole. In that version, the singularity sends gravitational radiation or gravity waves with so high frequency and short wavelength that nothing can reach the singularity itself. That means singularity can send radiation only in one direction. If no radiation or energy cannot replace that radiation the singularity will vaporize. 

Model 2 is almost the same as model 1)

Singularity is the point that spins at an extremely high speed. And if there is a so-called quantum channel in that extremely dense entirety, that channel can cause gravitational waves can travel to the black hole's poles. In that model, singularity aims all radiation through it and then conducts it to the black hole's poles. There could be a small quantum vacuum near those energy pikes and that energy rips the singularity in pieces or turns it to wave movement. 

https://bigthink.com/starts-with-a-bang/light-escape-black-hole/

https://scitechdaily.com/what-happened-to-all-the-supermassive-black-holes-astronomers-surprised-by-webb-data/

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