Monday, December 2, 2024

Should we stay in our comfort zone, or should we, try new things?


We all live in a bubble. Those bubbles are our social environment. Our opinions and interests. The fact is that all people are at least a little bit woke. We don't want to read all things that we might see. We don't also have time to read all the news, even the important ones that we see. We must select the information that we see and we want to read. We have only a certain number of hours in a day. So that means we must do many other things than just read the news. 

Social media can be an opportunity. And it can be the worst thing in the world. It has shown that even famous people are humans. They have their opinions. The opinion is not the same thing as researched knowledge. 

One of the bubbles around us is a limited number of skills. That we have. Nobody knows everything. And nobody can do everything in the world. We must learn new things throughout our life. Without the ability to learn new things. We face the situation that our skills turn old. When our skills turn old, that is a bad thing for people, who can do only one thing. If we have only one skill, that skill is easy to teach to other people. 

Sometimes people say that they are more productive when they rest in their own comfort zone. But if we think carefully about those people who work only in their own bubble are humans. They have more than just one skill. And if they jump out of their comfort zone, that they know very well. Those people might find new dimensions for themselves. 

When we think about human nature, we should not think that when we learn something at the age of 21. We cannot learn new things after that. If we just make things that we learn at a young age, that makes us effective. But that makes us unilateral. Unilateral people are easy to replace. If we just make the same thing let's say 30 years, that is a long time. That means we should advance our skills and our work. 

Without advances, we would be in trouble. Even if we are effective in some works, while we use only one system we must realize that someday those systems turn old. And in that case, our employer must choose to retrain us to use the replacement system. Or does our employer hire new workers?



Sunday, November 24, 2024

Single cells can learn things.



In some visions, the DNA pair or the protein pair can used to create the photons or acoustic bubbles between them. Then quantum computer can use those bubbles to make the quantum entanglement. That means the DNA or protein can be used as tools for acoustic qubit systems. But when we see that single cells can learn things we are facing an interesting thing. 

If that learning process is based on pressure that kind of acoustic system can be used to program cells. In some visions, the acoustic systems can control cells. 

Things like slime mold are things that show that the brains and neurons are not required in the learning process. And now researchers found that even individual cells learn things. That allows for improved medical research. The system can teach cells to find and terminate non-wanted cells. 

That allows creating. The control systems for nanorobots. The ability to learn. Makes it possible to create cells that operate as miniature robots. Those systems can clean the blood vessels from waste. 

This is one of the biggest breakthroughs in the research that can revolutionize nanotechnology and many other things. A short time ago. Researchers found that the neurons are not only cells that can store memories. Other tissue types participate in that process. 

Researchers noticed that the nervous system in the kidneys and nerve tissue cells can learn things. That thing can be a breakthrough for restoring brain damage. But the thing. That the single cells can learn. Is the key. To open new dimensions to the learning of other species. 

The big question in evolution is this. When did the species start to learn? Do things like amoebas and vegetables learn? The slime mold can learn things. So, can amoeba or some bacteria learn things cognitively? Those new findings can also make it possible to find out how things like bugs learn how to avoid their predators. And that can make it possible to create new ways to destroy harmful insects. Or program things. Like mosquitos to avoid malaria. 

The cell can store its memories in the DNA double helix or the protein helix structures. That thing makes a big advance in nano- and biotechnology. If researchers can crack this process. They can teach cells to deny things like virus entrance to the cells. The viruses can otherwise reprogram cells and make them make new things. 

The ability to teach cells will give new ways to fight against cancer. If cells include cognitive skills. The system can program them by using signals that the cell uses to learn. DNA-based learning is the thing. That requires the ability to change the DNA from those cells. That reprograms cells. 



https://scitechdaily.com/mind-blowing-discovery-scientists-discover-that-memories-are-not-only-in-the-brain/


https://scitechdaily.com/single-cells-can-learn-a-revolutionary-discovery-in-biology/

How much can AI affect our genomes?



In this text, I will not write about genetic engineering. I will write about the non-purpose processing of our genetic and environmental backgrounds. 

AI and evolution are the things that cause interesting ideas. The big question is: can AI and the internet affect evolution? And the answer is that those things are already affecting evolution. When we think about things like dating services. People search for people who are like themselves. The problem is simple. Similar types of people search for dates on the net. 

We know that DNA has some kind of role in people's behavior. And things like lifestyle are made by society. So our lifestyle and behavior are made by two major groups of abilities and features. Some of those abilities and features are hereditary. And some of them are formed by the environment and society. 

If people want to make dates through the internet. They must fill out the form. And that is the point where the AI affects our genomes. Because people search for similar people as they are, that thing causes segregation and the accumulation of certain genomes. 


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When we select our spouses from the group there people have similar behavior as we have, and we advance things like segregation. In the same way, we can say that our behavior is the sum of hereditary and environmental things. If we only meet people who are similar to us. 

That makes our environment homogenous. We don't hear things that we don't want to hear. And that advances the segregation. That causes. Also a situation. Where we hear only similar opinions that we have. That advance makes our visions thinner than ever before. 

That destroys real discussions and the possibility. To see other points of view. Things are also governed by. We see only things that we can create ourselves. And that means. We cannot even get other opinions to our discussions. 


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Genetic material and environment affect people's behavior. That means we choose people who have the same economic background and similar genomes. That is the thing that can affect the entire human population. 

The net allows us to make dates all over the world. And the AI is an effective tool to make the match with people who use the net. That means those people are more effective in producing descendants. Than people. Who search for their spouse from the local bar. 

The AI can search for people who have similar hobbies, favorite food, and other similar hobbies and work. That means. If the system gets ordered the person wants a spouse who plays some musical instruments. And the thing is that the algorithm can use the form and other information that it gets to select the perfect mate. The system can search things like the musical AI-experts from the net, and then offer them dates. The form that a person can feed can be similar to that used in animal breeding. 

The same methods can used with humans. When we use things like normal test-tube fertilization. There is always the possibility to select gemmates using a similar method. That the network dating tool uses. When it selects people whose dates are successful. In those cases, the system will not use things like genetic engineering. It uses the method. That has been a long time used in horse breeding. AI can affect us and our descendant's genomes in purpose or without purpose. 

The fact is that. AI can increase segregation when people select similar spouses and friends. As they are. The internet is the tool that can make us more isolated than ever. That is the sad thing. That destroys real discussion and helps us to select information narrower than ever before. Because those algorithms select our mates from the net using variables that make sure that our dates please us that makes it possible for us to hear and see only things that we can accept. That might look comfortable. But that destroys our ability to hear and see other choices. 


When the most advanced tool becomes the enemy of advance.



Why...

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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




Saturday, November 23, 2024

Can the photon itself be the origin of dark energy?



"AI-generated representation of an accreting supermassive black hole, surrounded by gas spiraling toward it along the equatorial plane (the accretion disk) and emitting powerful winds of matter as it falls in. This representation is based on a NASA’s artist’s concept that illustrates a supermassive black hole with millions to billions of times the mass of our sun. Credit: Emanuela Tortosa, edited" (ScitechDaily, Supermassive Black Holes Defy Physics to Become Cosmic Titans)

Dark matter and dark energy mysteries are heavily entangled with each other. Maybe supernovas, black holes, and new images of photons can solve another of those two mysteries. It's possible. That the photons are the source of dark energy. The ring-shaped structure means that energy that hits the ring travels into the middle of it. And maybe that thing is the source of the mysterious wave movement that rips the universe into pieces. 

If we think that black holes can turn all photons around it into one direction that causes a situation where the photons send the small energy string away from the black hole. And the other energy pike travels to the black hole. We know that photons can store energy that expands their size. That means the black hole's energy may expand the photon so much, that it can close the black hole in it. 

That means the photon can form a ring around the black hole. The model is that the photon is like a skyrmion. And that means it can turn so large. That it can form a ring around supermassive objects. If a photon can form that ring it can pump lots of energy into the black hole. But that is not sure. 



"A new theory, that explains how light and matter interact at the quantum level has enabled researchers to define for the first time the precise shape of a single photon. Credit: Dr. Benjamin Yuen" (ScitechDaily, Quantum Leap: Scientists Reveal the Shape of a Single Photon for the First Time)

Black holes. And especially supermassive black holes defy physics. The thing is that the black hole pulls wave movement and particles into it. Even if we see the black hole as the stoned object those monsters oscillate all the time. 

That thing means that they could make the same thing to gravity fields as time crystals make to electromagnetic wave movement. The black hole pulls energy fields into it. And some of those energy fields start other orbit the event horizon. When strings that form in the photons hit those fields they cause oscillation that we see as gravitational waves. 

The problem with dark energy and the dark gravity effect is that. There is something that causes gravity waves and quantum fields to move. The movement of those things is the thing that we see as gravity and dark energy waves. The problem with dark energy is that nobody knows its origin. 



"Detecting axions via gamma rays from a supernova could unlock the secrets of dark matter, with UC Berkeley researchers pushing for advanced telescopes to ensure we don’t miss this fleeting opportunity. Credit: SciTechDaily.com" (ScitechDaily, A Nearby Supernova Could Finally Solve the Dark Matter Puzzle)

In some models, dark energy is the thing that forms when a gravity wave collapses. The idea is that the gravity wave is the energy ditch or lower energy area that travels in the Higgs field. If a gravity wave faces some other energy wave that energy wave can fall into the energy ditch or gravity wave. And that thing makes the energy impulse through space and time. 

But then we can think of things like supernovas as the things that can confirm the weakly interacting massive particles, WIMP's existence. The major question is always can the WIMP exists, and the other thing is that. Can regular, or visible material turn into the WIMP? 

The model is that when the energy travels out from the material elementary particles can turn flat. And it's possible that those flat particles can rotate around its axle. That turns the WIMP look like a twisted rag. When energy fields hit those particles they form the energy vacuum or energy shadow around that particle. The quantum fields start to travel into that bubble when the distance of the object is far enough. The WIMP is a theoretical object. 

Things like supernova explosions that happen near Earth can uncover the mystery. But it's possible that we must wait for Betelgeuse to explode as a supernova before we can make those observations. 


https://scitechdaily.com/a-nearby-supernova-could-finally-solve-the-dark-matter-puzzle/


https://scitechdaily.com/quantum-leap-scientists-reveal-the-shape-of-a-single-photon-for-the-first-time/


https://scitechdaily.com/supermassive-black-holes-defy-physics-to-become-cosmic-titans/


Tuesday, October 15, 2024

The engineered memories are a multipurpose tool.



Have you seen the movie "Total Recall"? That movie involves a scene where the main character makes a virtual trip to Mars. Virtual memories make it possible to create things and experiments that we never imagined. Virtual reality is a tool that we can use for education. Virtual reality allows us to go to the second reality or alternative reality. We can make a sandbox into a solarium and use the IR and UV light to make synthetic sunlight.  

Then we can put the virtual reality glasses on and look at the film of a sunny beach at some place like Hawaii. The AI can create characters that are connected with the AI chatbots. And those characters can discuss with us. That kind of virtual reality-based second life or alternative reality can allow us to create things like virtual trips to the sunny south. That thing allows us to see what kind of place that travel destination is. 

In real life, researchers think of the possibility of engineering memories. This thing can make it possible to create a treatment for brain damage. This type of research can be a new tool for many other things. All our experiences are based on memories. In the same way, everything that we learn and can do depends on memories. This is why this type of research interests many authorities, from civil to military. 

Engineered memories can help Alzheimer's patients. But there are many other things there that are useful. And one of them is educational. 

The ability to engineer memories is a tool for ultimate learning. That allows people to pass things like university studies in a very short time. This kind of ability is one of the things that people who live in isolated places might need. They need skills to fix their house and give emergency aid to injured people. And engineered memories can help them to make things that they need. There is always a doctor on board in expeditions but what if the doctor is injured? 

That thing requires a system that can teach things to people very fast. Otherwise. Those people might use the remote-AI-controlled robots. That makes those missions. That can require fast satellite communication. The helmet-based system where the action camera sends data to AI can make it possible to turn the AI assistant to the next level. The AI can tell the user what equipment that person must use, and it can tell what those things look like. But that doesn't replace the experience. 

But that is only one thing that this kind of tool that engineers memories can do. The ability to create synthetic memories is a tool, that can have many purposes. The ability to train military personnel in a very short time, and give them the target data straight into their brains is the thing, that makes this system interesting. 

Another thing is the ability to engineer memories makes it possible to brainwash people. This ability might interest people who are working with very high-risk law enforcement deep covert operations where the risk that the operator changes sides is high. And traitors can cause very big danger. 



https://scitechdaily.com/could-we-engineer-memories-new-johns-hopkins-findings-could-help-treat-alzheimers/


https://scitechdaily.com/neurons-rewrite-the-clock-new-discovery-reveals-how-we-truly-learn/

The RSA encryption algorithm has fallen.

Chinese researchers used quantum computers to break the RSA encryption. That thing means that the base algorithm has lost its trustworthiness. So to deny hackers' actions we should rethink our internet and its encryption quite soon, or we will be in trouble. 

Quantum computers and AI are tools that can break any code. That made using binary systems. When we think about principles. That the China has in the quantum race, we must ask how long they have cracked those protection algorithms. Quantum computers are tools that can bring the arms race into the new spheres. 

And that sphere is the cyber attack that can take down at least communication and positioning systems. The quantum computer can also hack things like GPS encryption. And that makes it possible to create effective spoofing attacks. Against global positioning systems. That kind of attack might have unexpected consequences. And it can cause danger to both, civil and military operations. 



That means we should protect data more effectively. 


The thing is that we should develop more effective encryption methods. One of them is that the transmitting system can use different physical routes for transmitting information. That system shares those data bites between two or more routes. That makes it hard to collect that data back to its entirety without encryption keys. 

And of course, those attackers must know physically, where the data cables that transport data are. The system can also use optical cables where the outside glass fibers transport only light that protects data from the outsider's eyes. In some other versions, the data travels in the hollow laser ray. 

That electromagnetic wormhole denies the outsider to see the information. In some other versions, the radio masers transport data through nanotubes that form a Faraday cage around that radio beam. That cage protects information that travels in those wires. 

In quantum network technology denies the attacker to see the information. The system involves a photonic system, that drives information storing it to photons. The photonic system can share data on different routes. And that makes it harder to steal information. 

Things like electromagnetic protections deny that the recon robots cannot send unauthorized signals from data centers. That thing also denies the mobile telephone messages. The protector can put data travel through the controlled relay stations. 





The new threat is the physical robots. 


Things like neural computers and other kinds of tools are things that can collect data from large areas. The new AI-based systems that can operate as physical and virtual modes are tools that leave everybody without protection. The small quadcopters and other robots like robot hovers can collect data from their environment. 

The robot hovers that computer viruses are infected and can pollute other systems. Those hovers can also send information about their entirety. Or they can transport the spy robot. 

The AI-controlled drone can connect itself to data cables. The system can have a toolbox that it can use to cut the data cable. And then it can connect those data cables to travel through itself. Then it can route all data through its modem, and attackers can get all data from that system into their hands. 

Those small systems can also observe screens and send data to other drones or receivers using radio masers or IR and UV lasers. And those physical systems require sharp and effective code. 


https://www.csoonline.com/article/3562701/chinese-researchers-break-rsa-encryption-with-a-quantum-computer.html

Images created by Bing. 

Tuesday, October 1, 2024

The AI can be the new tool for hacking.



The AI or LLM is a tool that can generate code very fast. There are no errors in that code, and that makes it possible to create complicated code with very high speed and accuracy. The generative pre-trained transformer, GPT is the tool that can make it possible to create complicated code by giving orders to the language model. But can those tools be used for hacking? 

Development of the hacking and malware tools should be denied. So that means hackers cannot make the code using GPT by ordering it to create spy- or other malware. 

The hackers can benefit codes and other types of data, that the GPT collects for them. However, the hackers must have the right skills to customize that code. This kind of AI is safe. Or it should be safe. We know that by using command series is possible for high-level coders to cheat the AI to create malware. And that is one thing that should keep us alerted. The AI is the tool that can turn traditional coding into history. 

The estrade is left for the top-level coders who can customize and modify the code, that the AI created. Those people give orders to AI to create code. And then that person can copy-paste that code to the coder editor. By connecting the AI with the code editor the coder can customize those codes. 

But we know. That there are people who are willing to pay for hacking and hacking tools. It's possible that somebody gets the AI's source code, and then customizes it. That kind of tool can be a very powerful tool for hacking. The knowledge about coding helps the hackers to create necessary customization into the codes. That changes the AI into a hacking and spyware generator. 

In regular AI creation, the malware is prohibited and denied. But there are almost certainly the military or intelligence versions of the well-known AI's. Those military and intelligence AIs allow to creation of malicious software. Those military GPT's source codes are secretive. But it's possible, that somebody sells those codes in black marketing. 

The AI can also control the attacks by using the captured computers. AI-based software can control the attacks from the neural networks. The system can switch the computer and its IP automatically. That makes it harder to deny or locate certain computers. The bot network can attack targeted systems using differnet IP addresses. 


https://www.freethink.com/robots-ai/ai-hacking

Sunday, September 29, 2024

Biomimetic machines can emulate natural creature behavior.


"A biological model based on slime mold has provided astronomers with new insights into the structure and evolution of the universe. (Artist’s concept.) Credit: SciTechDaily.com" (ScitechDaily, Slime Mold Algorithms Unlock Secrets of Vast Cosmic Structures)

Biomimetics is the emulation of nature. The drone swarms can emulate slime molds and starling swarms. Another thing is that computer viruses are things that emulate natural viruses. 

Biomimetics is not necessarily a physical thing. Also, virtual systems can emulate living nature. Things like the slime mold algorithm that uses slime mold as a model of the universe's structures emulates nature in the virtual model. The slime mold algorithm can also be used in things like drone swarms. Those systems can use slime mold algorithms to create drone swarms that behave like slime mold. Another way is to create an algorithm that makes drone swarms behave like starling swarms. 

The networked systems make it possible that the drone swarm can act like one large creature. And the AI-driven drone swarms can emulate the starling swarm, which makes it hard to separate them from natural and harmless starlings. The drone swarms can also make it possible to create macro entireties. The drone swarms can cooperate. One of them can act as an eyeball, and some other drone swarms can close targets from opposite directions. In those cases that drone swarm can emulate natural entireties. 

When we think about things like data security the drone swarms can break it. Small autonomous drones can follow people on the streets. They can take images through windows and hear what people say. The AI-controlled drones can also slip data viruses to the computers using the UBG gates. The robot will just fly to the open computer. Then it pushes the data socket to the USB gate and then downloads the virus to the computer. 




If the small drones can slip into the house, and those drones can use wireless electric transfer, that kind of system can see everything that happens on the screens. The system can also eavesdrop on the office. When we think about the most modern data security tools the robots can slip the malware into the system using the USB gates. 

The modern drone swarms can involve the user interface, which allows operators to give orders to those swarms using the spoken language or keyboard. Operators can use the drone swarms for recon, intelligence, and attack missions. The attack drones can make the recon missions until they find the target. 

The recon drone involves a microphone and camera with a laser microphone that can transmit data to the other side of the world if it can use a satellite modem. The other version is that drones make chains that transmit information from drone to drone. 

Or the drone can use voice and video recorders when it stays in passive mode. When the drone's mission is done, it can fly home using the automatized location system. Even small drones can use terrain contour matching TERCOM or they can use stellar navigation. The system emulates birds if it uses stellar maps to navigate. Or there could be the data transmitter that calls the drone. 

Or a drone can connect itself to the internet socket, and transmit data through the network. The system can use the AI-based speech-to-text application. And it can send data in the form of the text. 

The AI is the tool that can be used to create computer viruses and malicious software. The virus and malware creation must be denied in network-based official solutions. However, we know that many nations are developing AI-based large language models, or, LLM chatbots that can create custom spyware and custom malware that make those systems very effective. There are also private workers like organized crime, that can try to create the LLM that can used for custom intruding operations. 


https://www.freethink.com/robots-ai/ai-hacking

https://scitechdaily.com/slime-mold-algorithms-unlock-secrets-of-vast-cosmic-structures/

Black hole jets can detonate stars.


"This is an artist’s concept looking down into the core of the giant elliptical galaxy M87. A supermassive black hole ejects a 3,000-light-year-long jet of plasma, traveling at nearly the speed of light. In the foreground, to the right is a binary star system. The system is far from the black hole, but in the vicinity of the jet. In the system an aging, swelled-up, normal star spills hydrogen onto a burned-out white dwarf companion star. "(ScitechDaily, Astronomers Baffled by Black Hole Jets Igniting Star Explosions)

"As the hydrogen accumulates on the surface of the dwarf, it reaches a tipping point where it explodes like a hydrogen bomb. Novae frequently pop-off throughout the giant galaxy of 1 trillion stars, but those near the jet seem to explode more frequently. So far, it’s anybody’s guess why black hole jets enhance the rate of nova eruptions. Credit: NASA, ESA, Joseph Olmsted (STScI)" (ScitechDaily, Astronomers Baffled by Black Hole Jets Igniting Star Explosions)

"Nova Explosions in Double Star Systems Doubled Near Black Hole Jet" (ScitechDaily, Astronomers Baffled by Black Hole Jets Igniting Star Explosions)

"The supermassive black hole in the core of the giant elliptical galaxy M87 shoots out a blazing bright jet of plasma racing across space at nearly the speed of light. It makes the “Death Star” beam in the Star Wars trilogy look like a wimpy candle flame lighter." (ScitechDaily, Astronomers Baffled by Black Hole Jets Igniting Star Explosions)

Relativistic jets from black holes are one of the most powerful phenomena in the universe. The jet is extremely high-energy plasma and radio, X- and gamma rays. Those jets can raise the star's temperature to a very high level if they hit the stars. That thing can destroy the star immediately if it raises its energy level too high. 

That thing can increase the power of the fusion. Or in the worst case. The energy impulse from the black hole can cause a situation where the volume of fusion reactions increases. That can cause an explosion. The most dangerous of those jets and eruptions are radio- and IR bursts that can. Transfer energy very effectively to plasma that forms the star. Plasma in the stars can absorb that kind of radiation. 



The Cygnus X-1 is the binary system where blue supergiant HDE 226868 orbits black hole Cygnus X-1. The HDE 226868 has a surface temperature of 31 000K and that means the star is O class supergiant. The star is extremely hot because the Cygnus X-1 material disk and its relativistic jet transfer energy into that star. 

Another thing that can cause sudden death is fast radio bursts of FRBs. Neutron stars and their radio jets can transfer very much energy to the other stars. The neutron star's jets can also warm the regular stars and increase their fusion power. But the eruptions from other stars can also have a big effect on stars. Things like supernova explosions can destroy even big stars if they are too close to the detonating stars. 




In some cases, the eruption from some red or blue giant can destroy multiple solar systems. The power of the effect of the eruptions depends on the size of the target star. Large stars have energy impulses better than small stars. 

Even if the energy impulse from some black hole or neutron star causes only some kind of flare in the sun-size stars. A similar phenomenon can be destructive if it hits things like red or brown dwarfs. The FRB can transfer very high power energy impulses to the red dwarf. And there is no space for energy where it can go. So the energy impulse can raise the energy level in the red dwarf. 

Another thing is that the relativistic jet can transmit energy to the plasma cloud around the star. In some visions, a high-power energy impulse can hit the planet's plasma belt. That transfers energy to that plasma, and this thing destroys satellites if it happens on Earth. If the energy level in the plasma belt rises high enough. That thing causes a situation where energy travels into the middle of Earth. This can cause the temperature in Earth's core to rise. 

In some visions, the relativistic jet can raise the temperature in the planet's atmosphere. If the temperature in the planet's atmosphere rises high enough, energy may start to flow to the planet's core. And if that energy cannot escape that energy impulse from some of the most high-energy objects can turn the planet into a black hole. That requires high-power energy impulses, that can come from the black hole's relativistic jets that heat the atmosphere. 


https://scitechdaily.com/astronomers-baffled-by-black-hole-jets-igniting-star-explosions/


https://en.wikipedia.org/wiki/Cygnus_X-1


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


Friday, September 27, 2024

The lack of deep knowledge is the problem with AI.




The problem that slows the development of the large language models, LLM is this. The next-generation system should also have a deep knowledge of what the words mean. When we use the conventional AI or LLM the system selects the keywords, and then it connects data from the different internet pages into the new entirety. 

Deep-learning AI is harder to program, and then we must understand, that even if the AI has a long list of determinators in databases, that are connected with the words we must realize that the AI doesn't still think. It might have many determinators but the problem is that. This thing is only an enhanced version of the LLM. Even if every single word of the language is connected with thousands of words of explanation, the AI will not understand those words. It just connects those things and creates one new layer to the AI. 


(Above) The neural- and KAN network structures. From above those layers would look like normal 2D networks. (Below). The image below is a more precise introduction to KAN networks than the image above. There you can see the layer between those networks. 




The neural networks are the tools that give extremely powerful calculating capacity to the system. There are no limits to the size of neural networks. However traditional neural networks are hard to administrate because of their 3D structure. The answer to the administration problem could be in Kolmogorov-Arnold (KAN) networks. 

When we think about the LLM and the new enhanced LLM the neural network architecture that runs those algorithms. The Kolmogorov-Arnold Networks or KAN networks can also be effective. The 2D structure makes those networks easier to administrate than traditional networks. The researchers can put KAN networks into the pleats, like fabric. 

The KAN network can be a large-scale system. But the pleated structure makes it more compact. The 2D KAN networks can create a hierarchical structure but otherways than traditional networks. In KAN networks each network layer is an independent network. In that case, the KAN networks are like floors of buildings. So we can call this network structure a KAN tower. The KAN looks like the synapse of the neuron. 

The system is more powerful and easier to administrate than traditional neural networks. The upper layer (or floor) of the network can act as the independent network. The system can transport data through each KAN layer and then the user gets output or solution when data travels through the KAN tower. And as I wrote every floor in the tower is independent KAN or it can act as part of the entirety. 


The neural- or KAN networks interconnect users. 

The major problem is: can the AI be intelligent without consciousness? Sometimes is told, that the robot that has consciousness defends itself. This thing is one of the things that don't need very high-level consciousness. The system must only use identify friends of foe IFF system. The wrong IFF signal activates the self-defense algorithm. The AI makes the resistance where it is programmed, using equipment there it has access to use. 

If people say that AI requires the command to begin its operations, we must realize one thing. When a defense system's sensor sees something that requires a reaction that thing acts as a trigger for the AI. The AI can follow screens using surveillance cameras, and if there is the word "alert" the system connects the AI to the database, which name is "alert". There the AI finds systems that it needs to react and effect to the threat. 

If access to the area is not permitted and intruders have the wrong IFF marking, that system can act against intruders. The wrong IFF signal acts as a trigger that connects the system to the database there are instructions for reactions. If we want to make combat androids that follow our orders, a little bit of customized LLM models are enough. 

If we want to make AI-robot systems that can emulate humans, making a robot that says "ouch" when we step on its toes is easy. The system must only have buttons on the toes that activate this reaction. Even analog systems can say "ouch" if we push the right button. 

If we want the robots to be dangerous, they are dangerous. If we want to make an AI that beats humans in air combat, we can make very big trouble with that thing. If we want to maximize this threat. We can put that AI into the most powerful stealth interceptor that we find without testing procedures. 

If we make a robot that defends itself that doesn't require very high-scale consciousness. The robot must shoot everything that does not have the right identification friend- or-foe, IFF code. These kinds of robots are not conscious but they can affect us. 


https://www.freethink.com/robots-ai/model-collapse-synthetic-data


https://www.freethink.com/robots-ai/simple-bench


https://www.quantamagazine.org/novel-architecture-makes-neural-networks-more-understandable-20240911/

How the first stars were born?


"This image of galaxy GS-NDG-9422, captured by the James Webb Space Telescope’s NIRCam (Near-Infrared Camera) instrument, is presented with compass arrows, scale bar, and color key for reference."(ScitechDaily, Webb’s Unprecedented Discovery: Potential Missing Link to First Stars in the Universe)

"This image shows near-infrared wavelengths of light that have been translated into visible-light colors. The color key shows which filters were used when collecting the light. The color of each filter name is the visible light color used to represent the infrared light that passes through that filter. Credit: NASA, ESA, CSA, STScI, Alex Cameron (Oxford)"(ScitechDaily, Webb’s Unprecedented Discovery: Potential Missing Link to First Stars in the Universe)

The problem with models of how the first star is born is this. The firstborn stars require a gravity center or the quantum dot that can collect material from around them. The gravity centers are things that collect material around them. In some models there formed helium atoms in the hydrogen nebula. 

But helium requires nuclear fusion. And nuclear fusion can happen only in stars or black hole transition disks. In the young universe, there were no stars or radiation sources, except hypothetical black holes, which means there is the possibility that the hydrogen anion pulls hydrogen ions into it. 

And that can form the helium. It's possible. That some helium atoms could form before stars in spontaneous impacts between hydrogen ions and anions. But it's possible. The black hole's transition disks formed the first helium atoms. And then those heavier atoms that sometimes leave out from the transition disk. In that model, the helium started to form the first stars. 

The problem with this model is that the entire material in the universe was hydrogen, protons, and free electrons. Then some electrons impact with protons and form the neutron. Hydrogen was neutral atoms and protons as hydrogen ions. If a homogenous hydrogen cloud starts to turn into stars, it's possible that the entire nebula falls into one point, and forms a black hole. 

There must be mass centers around the universe, or the hydrogen should be as nebulas. If hydrogen were homogenously spread around the universe, that could cause a situation in which the entire material in the universe falls into one point and turns into a black hole. The question is always been, what came first: black holes or stars? If we think that hydrogen was in the form of the giant nebulas in the young universe. That means something broke the structure. 

The formation of the first stars doesn't require black holes. There must be only thicker points in the material. In that case, the Schwinger effect was more powerful in some places than in some other places. 


"This comparison of the data collected by the James Webb Space Telescope with a computer model prediction highlights the same sloping feature that first caught the eye of astronomer Alex Cameron, lead researcher of a new study published in Monthly Notices of the Royal Astronomical Society." (ScitechDaily, Webb’s Unprecedented Discovery: Potential Missing Link to First Stars in the Universe)

"The bottom graphic compares what astronomers would expect to see in a “typical” galaxy, with its light coming predominantly from stars (white line), with a theoretical model of light coming from hot nebular gas, outshining stars (yellow line). The model comes from Cameron’s collaborator, theoretical astronomer Harley Katz, and together they realized the similarities between the model and Cameron’s Webb observations of galaxy GS-NDG-9422 (top). The unusual downturn of the galaxy’s spectrum, leading to an exaggerated spike in neutral hydrogen, is nearly a perfect match to Katz’s model of a spectrum dominated by super-heated gas." (ScitechDaily, Webb’s Unprecedented Discovery: Potential Missing Link to First Stars in the Universe)

"While this is still only one example, Cameron, Katz, and their fellow researchers think the conclusion that galaxy GS-NDG-9422 is dominated by nebular light, rather than starlight, is their strongest jumping-off point for future investigation. They are looking for more galaxies around the same one-billion-year mark in the universe’s history, hoping to find more examples of a new type of galaxy, a missing link in the history of galactic evolution. Credit: NASA, ESA, CSA, Leah Hustak (STScI)"

(ScitechDaily, Webb’s Unprecedented Discovery: Potential Missing Link to First Stars in the Universe)


Did the matter-antimatter annihilation start the interference, that started the black hole or star formation? 


In those theories, the first black holes were some kind of Kugelblitz black holes. Those hypothetical black holes form straight from radiation. There is also the possibility that large hydrogen clouds or nebulas start to fall because of gravity. Then those nebulas formed the first black holes. 

The existence of those primordial nebulas means that the structure of the material in a young universe was not homogenous. There was more hydrogen in some places than in others. Or maybe, there was antimatter, that annihilated with material. That annihilation reaction can form the shockwave, that can start the star formation in a hydrogen cloud. 

Another problem is this: were stars or galaxies first? In some models, galaxies started to form around the large-mass black holes. Then interference in that gas starts the star formation. The question is this: where do the first black holes come from if they are formed stars? Were they Kugelblitz black holes that were possible in the time before material? The other version is that they formed in thicker points of the hydrogen in the early universe. 

Or somewhere between those things. Protons and electrons could also form black holes before the material was formed. In some models, something raises the energy level in quantum dots that send waves around the universe. Then those waves formed the first particles. In the history of the universe was the stage where material was in neutral form. Those were the "dark ages". 

During that time, something put the same number of electrons and protons around each atom. The interesting question is: were there other elements than hydrogen? Those other, heavier elements could form around primordial black holes. In that model, reionization happened because of radiation that comes from those black holes and their material disk. Or maybe that interference happened because of antimatter annihilation in the young universe. 

Maybe the primordial black holes formed in the "dark ages" when the material was not ionized yet. Then reionization formed particles that could form chemical bonds. The fact is that. Without reionization, we would have no chemical compounds. 


https://scitechdaily.com/webbs-unprecedented-discovery-potential-missing-link-to-first-stars-in-the-universe/


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


https://en.wikipedia.org/wiki/Kugelblitz_(astrophysics)


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


Thursday, September 26, 2024

The new quantum research locks the enhanced security.


"Utilizing quantum mechanics, MIT has developed a protocol that secures data during deep-learning processes on cloud servers, ensuring both privacy and model integrity with a high accuracy rate." (ScitechDaily, MIT’s Quantum Locks Tighten Security on Cloud AI)

The new AI networks require enhanced data protection. Data protection must be very important, or the attackers can see everything that the AI-based network does. Another thing is that data security protects data from the outcoming effects. Physical data security, like denying the outside field interaction with data denies the damages from the data. 

Quantum networking can mean that the system cuts the data flow to multiple frequencies and routes. That thing enhances communication security. The system can also change the order of data bites. Or if the message is not urgent but requires high security. The transmitter can keep long breaks between the data segments. It can connect those data segments or data packages to multiple other messages. 

That means the important message is hard to find. In this case, I mean that all important messages don't require immediate reaction. The system can encode information using quantum binary numbers, which are extremely long binary numbers. The bigger problem is that new things like military drones require ultra-secure data transmissions. The virtual quantum system uses multi-channel data transmission, there the system transmits information using multiple frequencies at the same time. 



"MIT researchers have developed a security protocol that leverages the quantum properties of light to guarantee that data sent to and from a cloud server remain secure during deep learning computations. Credit: Christine Daniloff, MIT; iStock" (ScitechDaily, MIT’s Quantum Locks Tighten Security on Cloud AI)

The two-way Transmission Control Protocol/internet protocol TCP/IP makes sure that the channel is open. However, the one-way protocol called User Datagram Protocol, UDP, makes it possible to hide the drone's or robot's position. The problem is that UDP cannot make sure if the channel is jammed. 

Virtual quantum computers can use microwave amplification by stimulating the emission of radiation, MASER. Radiowave amplification can be achieved by using stimulated emission of radiation, RASER. Or radio-masers to aim at data transmission waves with very high accuracy. The system can use multiple frequencies, and like in some models, each radio or microwave frequency is one state of qubit. 


"Quantum computers use qubits, which can exist in multiple states at once, allowing faster calculations than classical computers. A new modular approach for scaling quantum processors proposes using flexible long-distance links between qubits, offering enhanced scalability and control while reducing the challenges of frequency matching and photon leakage." (ScitechDaily, New Research Unveils a Scalable Path to Quantum Processors)

The other version is that. Each layer in the TCP/IP protocol will turn into one state of the qubit. The system can also send information using all those layers at the same time. The virtual quantum computer can use the system that shares data into those layers or states. 

First, the binary system transfers data to the terminal. Then the system shares those data packages into its layers or states. After that system simultaneously transports those data packages through those quantum layers, quantum channels, or, states or routes. In quantum computers, the qubit can transmit data to those channels state by state. Each radio frequency in ln a long-distance quantum data transmission is one state of qubit. 

The ability to control graphite and carbon oscillations makes it possible to control the nanotubes. In quantum computers, the system pulls superposition and entanglement through the nanotubes. And that's why. It's an important thing to stabilize the nanotube. 



"Umeå University’s study reveals a new type of oscillating reaction where graphite converts to graphite oxide, with intermediate structures that appear and disappear, hinting at broader implications for chemical theory." (ScitechDaily, Scientists Solve a 50-Year Puzzle: The Oscillating Dance of Graphite Explained) The ability to control that process makes it possible to stabilize the nanotube. 


"The figure shows how graphite (left) is transformed into ‘pristine’ graphite oxide by voltage oscillations. Credit: Alexandr Talyzin"  ScitechDaily, Scientists Solve a 50-Year Puzzle: The Oscillating Dance of Graphite Explained)

The quantum computers can use graphene nanotubes to pull quantum entanglement through them. 

The real quantum computers make the quantum networks possible. The quantum networks are the systems where information travels in quantum entanglement. In some models, graphene or fullerene nanotubes are the tools that make quantum networks possible. 

The system must only stabilize the nanotube. Made by using the graphite tube. And new experiments help to solve the graphene or graphite oscillation. If the system is in a vacuum that denies the nanotube oxidation and removes the oscillation in graphite and fullerene or graphite nanotube. The ability to remove the oscillation in the graphene nanotube. 


https://scitechdaily.com/mits-quantum-locks-tighten-security-on-cloud-ai/


https://scitechdaily.com/new-research-unveils-a-scalable-path-to-quantum-processors/


https://scitechdaily.com/scientists-solve-a-50-year-puzzle-the-oscillating-dance-of-graphite-explained/


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


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



Wednesday, September 25, 2024

The dark energy seems to be weakening all the time.


"The Dark Energy Spectroscopic Instrument (DESI) at Kitt Peak National Observatory in Arizona has produced the largest 3D map of our universe to date." (QuantaMagazine, Dark Energy May Be Weakening, Major Astrophysics Study Finds)

The dark energy seems to weaken all the time. That is one of the most remarkable observations in the history of cosmology. That means that the Big Bang has something to do with dark energy. And in that model. The origin of the dark energy is in our universe. The other thing is this: if dark energy gets weaker. That means that gravity wins. The universe ends its life in the Big Crunch. And that thing means that the Phoenix universe is inevitable. When the Big Crunch happens. 

All material falls into the black hole. That kind of black hole cannot exist in our universe. All material and energy fall into it. If a black hole is in total void, energy starts to travel out from the black hole. Which means it starts to vaporize. And that vaporization causes a new Big Bang. 


Can the origin of dark energy be in the hypothetical white hole?


Dark energy is wave movement with an unknown origin. There are many theories about its origin. In one theory dark energy is energy that a photon releases when it turns into the wave movement. In some other models, the dark energy source is in the hypothetical white holes. 

In that model, the cosmic void is the thing that forms when a white hole releases energy that travels through the wormhole. In a wormhole, the maser effect from surrounding EM fields pumps energy into that radiation and particles. When that material and wave movement comes out from the white hole, that doesn't mean that we see that white hole using human eyes. 

The white hole can release energy in the form of X- or gamma-rays. Or even in gravity waves or dark energy waves. That still hypothetical thing can blow all material away from areas around them. And that means that also cosmic voids can be the reason for the white hole. 


"Earth is at the center of this thin slice of DESI’s 3D map of the universe. Magnification reveals the distribution of galaxies and voids." (QuantaMagazine, Dark Energy May Be Weakening, Major Astrophysics Study Finds)


Or maybe the dark energy is the antigravity. 


The still hypothetical, but almost confirmed graviton particle is the origin of the dark energy. That means those particles are the quantum dots that distance from each other depending on the cosmic expansion.

There is one very interesting vision about dark energy. That vision is that dark energy could be antigravity. In modern models, antigravity is the effect that forms when gravitational waves from gravitons impact each other. That forms a standing gravity wave. And other gravity waves reflect from that wave. In the case of the universe's expansion the distance between gravitons also increases. The antigravity models are based on the models that researchers made for other fundamental interactions. 

The reason why the gravitational interaction is so special is that it doesn't have polarity. That thing can be explained by that the gravitation interacts through the field. But how does graviton make that field move? In some models, graviton is a very high energy but small particle. And then when graviton releases its energy to the field around it. The thing is that energy release is interaction. 

If we think that graviton is like on the stick above the water that is the base energy field in the universe we could understand this thing a little bit better. Same time when the graviton falls its energy, and energy level on the layer also rise. If we think that energy level is like water. And graviton is like a droplet, we could see that there is a water wire that is energy flow falls from the droplet. And the same time there is a water wire or string that rises to to the droplet. Sooner or later the rising and falling statues impact. 

When the energy level of the particle falls that particle transfers it into somewhere. That place is the quantum field around it. The energy level at the quantum field or another particle starts to rise. That forms the energy hill. And sooner or later falling energy reaches the same energy level as rising energy hill. That causes the electric arc in electromagnetic fields. Another name for that phenomenon is the standing wave. 

In visions also gravity fields can make standing waves. The reason for that is that gravity waves are wave movement. And all other wave movements can make standing waves. The standing wave causes gravity wave reflection from it. 


https://www.space.com/desi-cosmological-constant-dark-energy-history


https://www.quantamagazine.org/dark-energy-may-be-weakening-major-astrophysics-study-finds-20240404/


https://scitechdaily.com/from-theory-to-reality-graviton-like-particles-found-in-quantum-experiments/


https://scitechdaily.com/thought-to-be-impossible-scientists-propose-groundbreaking-method-to-detect-single-gravitons/


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


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


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



Schrödinger's cat: and the limits of that idea.


"In quantum mechanics, Schrödinger's cat is a thought experiment concerning quantum superposition". (Wikipedia, Schrödinger's cat). But the same thing can use as model for many other thought experiments. 

Sooner or later, or at least in the ultimate end of the universe, the Schrödinger's cat will turn into wave movement. The information that this cat involved exists but the cat does not exist in its material form. The information doesn't ever vanish. It just turns its shape.  We are all trapped in the universe and time. The universe is the space that is entirety to us. There are no confirmed other universities. But the multiverse is a logical continuum for the expanding galactic megastructures. 

The problem with natural things is this. They are black and white. They exist or do not exist. Could there be something, that exists and not exists at the same time? 

Scrödinger's cat is thinking experiment about case their cat is not dead or not alive. But in this case, the cat is either alive or dead. The limit is this the cat must be either or not. There is the possibility that our cat is alive and dead at the same time. In this case, the Schrödinger's cat turns into a vampire. Or maybe we can use some more philosophical methodology to introduce this strange third state between dead or live or between existing and not existing. 

"Schrödinger's cat: a cat, a flask of poison, and a radioactive source connected to a Geiger counter are placed in a sealed box. As illustrated, the quantum description uses a superposition of an alive cat and one that has died." (Wikipedia, Schrödinger's cat) 


There is a possibility that some very highly advanced technical method removes mitochondria or energy sources from the cat's cells and replaces them with nanotechnical nuclear batteries or some other thermal source that creates energy like natural mitochondria. Those new energy sources would be in every cell in that cat's body. The idea is that the original Schrödinger's cat lives in the box, that we cannot open. But in this new case, the cat can live and interact. But that cat is dead and alive at the same time. 

We can say that our limits of thinking have focused on the third arrow problem. The thing cannot be dead and alive at the same time. Normally, we have two arrows that mean something exists, or something does not exist. The thing is that existence is living in nature. The idea is that the creature that interacts is alive and the creature that doesn't interact is dead. But then we can say that the stone is alive if we kick toe to it. 






 In the two-arrows traditional model. There are only two states for creatures.



In the three arrows model. There is a medium in the third state between extremes.


In Scrödinger's cat model, the cat is alive when it carries information. Or cat is alive when it makes something that means something to us. The cat is alive, if it carries USB sticks between two houses.  The cat is dead when it doesn't carry information or doesn't mean anything to us. So, only living cats can carry USB sticks is the thing, that we normally think. But then we can think of the possibility that the cat is physically dead and there is still hiding information surgically implanted USB stick in its body. But there is the possibility that a dead cat can carry information. So the dead cat involves thing that interests us. That makes a dead cat alive to us. 

In the arrow model, there is one arrow for alive and another arrow for dead. Normally we have only two arrows and the creature is dead or alive. But maybe we need the third arrow. That is being alive and dead at the same time. Or existent and nonexistent at the same time. In the case of Scrödinger's cat, the object is in the box without the ability to transfer information. We can take that box with us. That means the cat is the information that this thing involves. Another way is that the system replaces mitochondria using nanotechnical nuclear batteries. The cat is dead, but it can still carry information. 

That thing means that the pain makes that stone alive. Sometimes we think that the ability to make descendants makes something alive. But then we can think again, that the particle or radioactive element that decays into some other element is alive because it produces two other descendant particles. 

And that means if the interaction between the creature and its environment is required to turn the cat alive, Schrödinger's cat is dead, because it's in the box, there it cannot interact with its environment. Then somebody says that the cat is alive because it can interact with its environment in the box. Then we can ask again would the cat is alive, when it walks around and introduces its nanotechnical nuclear batteries that pump energy into its cells. 


https://scitechdaily.com/quantum-paradoxes-unraveled-by-new-x-ray-techniques/

https://en.wikipedia.org/wiki/Schr%C3%B6dinger%27s_cat

Saturday, July 6, 2024

The black holes and antimatter can help to solve mysteries of the universe.


"The Fireball collaboration at CERN has generated a powerful electron-positron plasma beam to study black hole jets, significantly advancing our understanding of these cosmic phenomena and supporting simulations with experimental data. Credit: SciTechDaily.com" (ScitchDaily, Matter/Antimatter Black Hole Jets Recreated in CERN’s Laboratory)


Schwinger effect or wave-particle duality is the thing that proved that material or particles are one energy form. And energy and material are the same thing. The wave-particle duality must be possible between gravity waves and dark energy. That means dark energy and gravity waves can also create material or particles, that are unknown to us. 


For the first time, CERN created the laboratory version of the black hole's antimatter and material jets. And that thing opens interesting visions to dark energy and wormhole research. 

One reason why black hole relativistic jets are so powerful is that they form antimatter. The antimatter forms when material. That comes from the black hole's axle impacts energy from the material disk around the black hole. That high-energy reaction turns the spin of some particles to the opposite. And that forms a high-energy interaction in the black hole's relativistic jet. This thing makes this relativistic jet more high energy than it should be. 

The relativistic jet is an electromagnetic wormhole itself. But could that thing be a so-called real or gravitational wormhole? So, can the electromagnetic tunnel turn so tight that it will not let radiation travel through its shell? Maybe antimatter-material annihilation can make the Einstein-Rose bridges possible in the real world. The idea is that there is a spiral-shaped structure around the hollow center. 

And material-antimatter annihilation happens in that spiral. The extremely high energy reaction can deny that the outcoming energy or quantum field cannot travel through that channel. And the high-energy reaction pumps energy to objects that travel in that wormhole. That thing denies energy travel out from the objects. 

So, in that model. Annihilation makes that structure as tight as gravity wormholes. The high-energy annihilation reaction at the electromagnetic tunnel's shell can turn electromagnetic wormholes similar to gravity wormholes that can transport energy and particles through the universe. The thing in wormholes is that they don't let energy travel out from particles. 

The energy level in particles stays stable, and energy flows out from them is aging. Denying energy flow out from particles denies their aging because energy cannot flow out from them. 

In the time-arrow model when particles get older they deliver energy to particles and other objects around them. That thing means that if some particle can send a pulse. With a high enough energy level that thing pushes those other particles back in time. 

When the big bang happened. we can think of that event as a time arrow. When that energy or radiation was released it turned time travel opposite around it. In some models, the Big Bang happened because time moved opposite. So in the thing or point before the Big Bang time could travel opposite direction than in our universe. 



********************************************************************************

We can explain why we have no antimatter in the universe like this: Schwinger effect formed particle-antiparticle pairs. Just after the Big Bang, and then those particle-antiparticle pairs annihilated.  

Again, the Schwinger effect formed new particles. That annihilation happened in a powerful energy flow that turned those particles spin in the same direction, forcing the material into the form we know it. 

So, as I  wrote before. 

Schwinger effect or wave-particle duality is the thing that proved that material or particles are one energy form. And energy and material are the same thing. The wave-particle duality must be possible between gravity waves and dark energy. That means dark energy and gravity waves can also create material or particles, that are unknown to us. 

********************************************************************************

That causes an interesting question: Does time travel backward somewhere in the universe? In black holes time travels backward, because their escaping velocity is higher than the speed of light.  It's possible. That time travels backward in wormholes if there is a structure that pumps energy into particles. And if particles cannot send that energy away, it turns younger. 

The great annihilation just after the Big Bang formed material in the form as we know it. That annihilation created a situation where the impacting wave movement formed particle-antiparticle pairs. But those particle-antiparticle pairs formed in an extremely powerful energy flow. That energy flow turned all particle's spin in the same direction. That energy flow forced all known particles to turn into material. 

In the Big Bang, formed the same way matter and antimatter particles. Annihilation between particles and antiparticles just after that event formed the material in the form as we know it. The Big Bang might have happened just before the particle-antiparticle-pairs formed. And those particle-antiparticle pairs could be something that we never imagined. That particle-antiparticle annihilation formed the chaotic condition where impacting wave movement formed the particles. 

The reason for the lack of antimatter might be this. When those first elementary particles formed, they formed in an energy flow that traveled in one direction. That direction made those particles spin in the same direction. That energy flow made homogenously spinning particles that form material. The thing is that the different or opposite spins make some particles antiparticles and some particles material. 

When we think about the Big Bang, which released time and material into space, we must realize that dark matter and dark energy are mysteries. It's possible. That dark energy and dark matter can exist before the Big Bang. 

Maybe the first Big Bang that formed particle-antiparticle pairs formed dark energy and dark matter. The second Big Bang was annihilation that formed material as we know it. In that process, the first entropy formed the Big Bang. 

Then, the second entropy formed particle-antiparticle pairs. And the thing that formed material was the great annihilation that maximized entropy. Entropy or disorder in a system makes wave movement impact forming elementary particles.  The thing is that we are in energy that formed in the Big Bang.


https://bigthink.com/starts-with-a-bang/all-nothing-expanding-universe/


https://scitechdaily.com/matter-antimatter-black-hole-jets-recreated-in-cerns-laboratory/


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


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


https://en.wikipedia.org/wiki/Wave%E2%80%93particle_duality


The mathematical work that shakes the world.

"As a graduate student, Maryam Mirzakhani (center) transformed the field of hyperbolic geometry. But she died at age 40 before she coul...