The new evidence of the existence of Planet X

"An artist’s conception of Planet 9, or Planet X, which scientists theorize orbits in the distant solar system. Image credit: Robin Dienel/ Carnegie Institution of Washington" (NASA)

Planet X is never seen. That is one of the things that we should realize. Planet X is the mysterious gravitational effect at the edge of our solar system. The existence of that object is almost confirmed in one day. And some other day that strange thing doesn’t exist anymore. The thing that makes it very interesting is that the gravitational effect that makes Neptune’s trajectory wobble and the mysterious X-ray flares in Uranus are things that can cause many speculations. 

And one of them is that. There is a planet that is colder than the plasma around the sun. If the planet’s temperature is lower than the heliopause’s temperature and the planet’s trajectory is outside that point, this kind of object can be very hard to detect. The prediction is this, if Planet X really exists it would be geologically dead. It could be the rogue planet that our sun or the outer planets Neptune and Uranus are trapped near the edge of the solar system. It’s possible that this mysterious gravitational object has gone out from the solar system’s gravitational pool. And turned into a rogue planet. 

Uranus’s X-ray flares. 

Dwarf planet Haumea with Rings and its two moons Hiʻiaka (Haumea 1) and Namaka (Haumea 2). 

Artist impression of Quaoar rings. Credit: Paris Observatory

Artist's impression of Quaoar with its ring and its moon Weywot

The primordial black hole hypothesis. 

But there is also the possibility that Planet X is something like a black hole. In some scenarios, a very small black hole can pull a shell around it. In some models, the small black hole can exist in asteroid-size objects. Or even on some planets. The small black hole must only pull dust or ice around it symmetrically. If those particles are locked around that black hole they can form a structure that looks like a regular planet. So could some of the dwarf planets in the Kuiper belt be that mysterious Planet X? 

There is one object that can be interesting about the researchers. That object is the dwarf planet Quaoar. The thing that makes that dwarf planet very interesting is its ring system. That dwarf planet should have a very weak gravity. Sometimes astronomers and I thought that some kind of plasma whirling around that small dwarf planet makes the Van Allen-belt type magnetic phenomenon that can trap the low-energy plasma that comes from the sun. Another remarkable thing is that Quaoar has a moon called Weywot. And if that artist’s impression is right, that means that this moon is quite a long distance from Quaoar. 

The third interesting thing is that the Quaoar’s temperature is 41 K which is -231.3C. There is suspicion that some kind of radioactive process warms the Quaoar. But the primordial black hole can explain that temperature. 

But there is one very wild idea. Could Quaoar be the primordial black hole that formed the ice shell around it? Maybe that thing seems very rare, or radical theory. But if the planet X is some kind of primordial black hole, can that thing be some dwarf planet that we already know? That primordial black hole can seem very innocent if it's in some dwarf planet. And then we can look at another dwarf planet: Haumea. An interesting thing is that Haumea has two moons. 

When we look at images of Haumea we see that the little world with two moons is stretched. Haumea itself looks like an egg. That thing can happen because of the fast spin. Or it can happen because some force from that thing stretches the Haumea. Those two moons should destroy Haumea’s ring system. The names of those moons are Hiʻiaka (Haumea 1) and Namaka (Haumea 2)

The primordial black hole that is in the stable trajectory and pulls particle shells around it can be very hard to separate from the real dwarf planets. If there are no objects near that thing, we cannot measure the object’s mass using those things. If that black hole pulls all dust from around it. That thing prevents astronomers from seeing dust clouds from around it. 

https://astrobites.org/2025/04/28/vulcan-pbh/

https://www.astronomy.com/science/is-planet-nine-a-black-hole-or-a-planet-harvard-scientists-suggest-a-way-to-find-out/

https://www.bbc.co.uk/newsround/49910160

https://www.buffalo.edu/news/releases/2024/12/primordial-black-holes-may-be-hiding-in-planets-or-even-everyday-objects-here-on-Earth.html

https://chandra.harvard.edu/blog/node/786

https://nasaspacenews.com/2025/04/black-holes-from-the-big-bang-could-be-trapped-inside-our-planet/

https://www.rudebaguette.com/en/2025/07/were-seeing-something-massive-out-there-astronomers-detect-possible-ninth-planet-beyond-neptune-in-chilling-new-discovery/

https://scitechdaily.com/dark-matters-secret-hideouts-are-primordial-black-holes-lurking-nearby/

https://www.space.com/primordial-black-holes-cat-big-bang

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

https://en.wikipedia.org/wiki/Hi%CA%BBiaka_(moon)

https://en.wikipedia.org/wiki/Namaka_(moon)

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

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

Astronomers found the missing material of the universe.

"A simulation of the ‘cosmic web’, the vast network of threads and filaments that extends throughout the Universe. Stars, galaxies, and galaxy clusters spring to life in the densest knots of this web, and remain connected by vast threads that stretch out for many millions of light-years. These threads are invisible to the eye, but can be uncovered by telescopes such as ESA’s XMM-Newton. Credit: Illustris Collaboration / Illustris Simulation" (ScitchDaily, Astronomers Find Universe’s “Missing” Matter)

 Can energy that travels out from the cosmic web explain dark energy? 

Most of the visible material in the universe is in the cosmic web or cosmic neural structure. The energy level of that material is higher than its environment. And that makes it hard to detect material from around that structure, whose shine covers the colder material under it. The material outside the cosmic superstructure is invisible because its energy level is lower than material that is in the cosmic superstructure.

That can mean that this energy flow out from that superstructure can explain dark energy. When energy travels out from that cosmic superstructure that means that energy flow pushes particles and smaller structures away from that energy flow. There is a lot of energy that travels out from that structure. And that energy can blow the universe larger. 

The cosmic web which is the largest known megastructure is the chain of galaxy superclusters. Energy level in that structure is higher than in its environment. And that means energy flows out from that supercluster. In this text, the term missing material means baryonic material. Dark matter is a little bit harder to describe because dark matter interacts with gravity. So there should also be more dark matter in galaxies and their halos. But the problem is that nobody has seen dark matter particles. 

The missing material in the universe was found in intergalactic space. We know that galaxies are in the middle of the material halos. And there are lots of baryonic materials between galaxies. So, why could we not find that material earlier? Galaxies and their halos form the light pollution as well as cities form on Earth. The halo around galaxies and galaxies themselves are much brighter or their energy level is higher than the material between galaxies. And the other thing is that other galaxies are like a very bright light in the dark night. So, we can think of the intergalactic material as fog. 

We are observers who stand in the bright field. There are bright traffic lights all around us. The light pollution from Earth, the sun, and other stars covers the intergalactic material under it. And then we want to observe thin fog. That light pollution denies that thing. When we think about the situations in the space between galaxies and galaxy clusters, and especially outside galaxy superclusters we can say that there is a lot of missing material outside the structures. The brightness of those objects prevents us from seeing most of the baryonic material in the universe. 

The material between galactic superclusters might be even colder than the material between the Milky Way and the Andromeda galaxy. And that makes it almost impossible to detect that missing material. Galaxies, galactic clusters, and mega clusters form light and energy that turns the gas in those structures and superstructures more a higher energy level than gas outside the galactic superclusters. So maybe we will not even detect that very low-energy material. Because energy always travels from higher- to lower energy levels that means that material is not easy to detect. 

Light and other energy act like fog between that material and humans. The particles that are in the galactic superclusters reflect wave movement that makes it hard to see material around that energy bubble. The difference between energy levels in the galactic superclusters and the space around them must not be high. The thing that is enough is that the energy level is higher. 

The temperature of the gas outside the galactic superclusters can be the coldest in the universe. The weak radiation from distant objects covers the material from the observers. So, that causes a model where most of the baryonic material in the universe exists, not in galaxy clusters or superclusters. That material can exist in the space between the galactic superclusters. And in induction speculations, we can think that there is a lot more material outside the universe. 

https://scitechdaily.com/astronomers-find-universes-missing-matter/

Everything forms in spirals.

Above: The fractal structure of the Messier-74 galaxy. In those structures energy and gravity are in an eternal race. You can also see things like holes in that gas disk, or a galactic nebula.  If there is a whirl there are four possibilities. There can form planets and the sun. But if the star that forms is too big, it blows the material disk away from its environment. And that denies the planetary system formation. Or if the disk is very massive it falls straight to a black hole. The empty places in the disk are areas where some cosmic catastrophe has blown the material away. 

Or there is a possibility that a denser spherically-shaped material cloud or nebula pulls material away from the middle of it. Or in those holes formed stars and planets or black holes pulled that gas away from those holes in the nebula. Or, maybe the extremely powerful supernovas blew cosmic gas away from that point. 

JWST found new data to explain how spiral galaxies form. There are two structures in the spiral galaxy: thin and thick. The thin disk can form earlier and then the thin structure's gravity starts to collect the thick structure around it. Those two structures move at different speeds and that causes problems with the models. 

The spiral structures that move at different speeds create the whirls that start to collect material into them. So, the star formation begins in those points. That thing explains the star, planet, and finally neutron star and black hole formation as the whirls that form around material. Or actually, all particles in the universe from the quark to the most massive objects form from whirls.

"Webb/NIRCam composite images of a quarter of the team’s sample sorted by increasing redshift. Image credit: Tsukui et al., doi: 10.1093/mnras/staf604." (SciNews, Webb Sheds New Light on Structural Evolution of Disk Galaxies)

If the whirl is large enough it can press the particle or any other object into one entirety called a singularity. The particle that spins at a very high speed binds quantum fields around itself. And how big an object can that process form? That depends on the energy level of that particle. The energy transfer into that particle continues until it can push that whirl away from it. So theoretically one single particle like a proton or electron can form a supermassive black hole. But that requires an absolutely stable environment. 

The requirement is that the particles can form such a large whirl and bind energy or quantum fields into it so fast that it cannot push that energy away. That means the particle must spin with an extremely high speed. The idea is that the black hole or any other structure in the universe creates a whirl around it. An interesting thing is that all objects from stars to planets are forming from whirl-shaped structures. The spiral galaxy is actually the supermassive black hole’s material disk. That disk keeps the supermassive black hole in its form. Without that disk, the energy that is trapped in the black hole will be released. 

The black hole’s relativistic jet tells that the gravity center is a structure that aims, or conducts energy somewhere else. Energy travels to the black hole’s spin axis and there forms the relativistic jets. The main problem is: is the source of the relativistic jet outside the event horizon or inside it? In a wormhole model, the black hole forms a gravitational tornado. The structure forms a situation where a gravitational field or quantum field forms a tornado-shaped structure. The idea of that phenomenon is that if the gravity field turns into a spiral, then that thing causes a situation where there is no gravity field in the black hole’s spin axis. Maybe that channel explains the relativistic jet. 

https://esawebb.org/wordbank/electromagnetic-spectrum/

https://www.sci.news/astronomy/webb-structural-evolution-disk-galaxies-14026.html

The new model for prime numbers.

Prime numbers play a vital role in cryptology. The cryptological process requires big numbers. There is always the possibility that the number is virtually big. The system can divide those big numbers to smaller and that makes it possible to crack the code. The prime number is divided by 1 and itself. That makes it impossible to find the smallest possible factor in the number. If the attacking system finds that the smallest known common factor it makes easy to crack the message. If the number that the system uses to encrypt messages is pairer the system can simply use the 2 and then count it with itself to find the right number. 

There is a possibility that prime numbers involve secret code. If that code exist there is the possibility to calculate the series of the prime numbers very fast. Prime numbers require that the attacking system must always generate the entire number. And today the system uses the Riemann zeta function for that purpose. 

The problem with that function is it always gives the same prime number points. When the system drives Riemann zeta function, known as the Riemann conjecture, there are always certain points that the function gives. The attacking system can create the right prime number simply using the more powerful systems. And the AI driven neural network can make that attack quite fast, if it begins to create the right prime number by using the certain point of the number series that  Riemann Conjecture created. So, there must be some more effective way to find the right prime number. Or there must be a method that doesn’t depend on the Riemann Zeta function. 

There is a possibility to increase the encryption safety by using the multi stage encryption. When the data travels through one encryption line that line counts those ASCII numbers using the quantum decimal prime numbers. Those extremely long decimal prime numbers that are many times counted to the ASCII codes can make the message safer. The other way is to share those ASCII numbers to smaller series like series that involve three numbers. That makes the attacker to detect the data from those 3 number series.  

Above: Riemann Zeta function

Researchers uncovered the connection between prime numbers and the integer partitions. Those two things might not seem to have any connection. But mathematicians found that there is a connection. Before this and Riemann's zeta function there was a method to detect and identify the prime numbers. 

“To appreciate the significance of this breakthrough, we must journey back to the third century BCE. It was then that the Greek scholar Eratosthenes devised an elegantly simple method to identify prime numbers—known today as the “Sieve of Eratosthenes.” This technique involves systematically eliminating the multiples of each integer, leaving only those that remain indomitable: the primes. “ 

“Despite its antiquity, the sieve remains one of the most effective tools for sifting through these unique integers. This enduring relevance underscores the complexity of the problem at hand: even after more than 2,000 years of research, no straightforward algorithm or universal formula can predict where the next prime number will appear.” (Sustainability Times, “Prime Numbers Had a Hidden Code”: Mathematician Cracks 2,000-Year-Old Mystery That Could Rewrite Number Theory)

“This ancient method highlights the persistent challenge prime numbers pose. While it is a rudimentary yet powerful tool, the quest to fully comprehend primes continues, emphasizing their profound mystery and significance in mathematics.” (Sustainability Times, “Prime Numbers Had a Hidden Code”: Mathematician Cracks 2,000-Year-Old Mystery That Could Rewrite Number Theory)

When we think about the number theorem and other kinds of things we must realize that the prime numbers have one rule. That rule is that the prime number is unpaired. That means it will always end in numbers 0,1,3,(5), 7, 9. Five is in brackets because there is a big possibility that the number that ends to five is composite to five like 15.  That means if the number is a prime number it must not end in a pair. There is also risk with 9 that it can divide by using number 3. The 9 is not a prime number alone. 

The other rule is that there should not be series like 222 or 555. And the number must not involve sequences like 1313. Those rules are made to determine the prime number. If there are repeating  sequences, the same number or the number is pairer it is not prime number. The prime numbers are required in cryptology. The system generates a long and big number that it uses for encrypting data. The encryption process means that the ASCII number of the letter or number will count by using that prime number. And if an attacker finds that number the defender is in trouble. There is a possibility to increase layers to the encryption process. But that thing requires more powerful machines. Or it requires the new types of encryption systems. 

https://www.geeksforgeeks.org/maths/riemann-zeta-function/

https://www.sustainability-times.com/research/prime-numbers-had-a-hidden-code-mathematician-cracks-2000-year-old-mystery-that-could-rewrite-number-theory/

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

Can Sci-fi weapons: nanomachines and sophons be a reality someday?

 

The grey fog is one of the superweapons that are so horrifying that we cannot even imagine them. That grey fog can erase entire planets. Nanomachines are the new tools. They can be the ultimate Swiss blade for everything. Theoretically, nanomachines can erase any molecule that they face. Those small molecular machines must only create the wave movement and resonance that cut the chemical bonds between atoms. The miniature machine can simply send an electromagnetic impulse to the chemical bond in a targeted molecule. And that energy can push atoms away from each other. This kind of system can have multiple civil and military applications. 

The nanomachine that can terminate forever molecules can be the most wanted thing in the world. But that same technology is also capable of creating the terrifying “grey fog” that terminates everything that we know. The main problem with nanomachines is their movement. The surface active agents, or surfactants are the things that can solve the nanomachine movement problem. If the nanomachine has two surfactant molecules that the system can turn on when it gets a command. That makes it possible to move the nanomachine. Surfactants have two heads, one is hydrophobic and one is hydrophilic.

If the hydrophobic head is in the direction where nanomachines should move and the hydrophilic head is at the tail of the nanomachine. That makes the nanomachine move in the desired direction underwater. The hydrophobic head that can be connected with water droplets can also make the nanomachine hover and travel to wanted direction in the air. When the water droplet surrounds the nanomachine and then the hydrophobic- or water-repelling heads are turned to that water. That thing can cause an explosion. And the pressure wave can help to raise the machine up. The small nanomachine that can control that thing can make it possible to use that thing for controlled flight. 

The other version is that they use some. more exotic propulsion systems, like theoretical systems that can change the shape of the quantum fields near the nanomachines. Those systems can make the machine hover and travel at very high speeds. 

Those nanomachines can be connected with the von Neumann probes. The term Von Neumann probe means self-replicating machines.  Those systems can include miniature factories that create copies of those machines. The nanofactory can be very small. And they can create copies of themselves and create those molecular machines. Those machines and factories can be DNA-controlled. 

The sophon is introduced in the sci-fi novel 3-Body Problem. The sophon is a proton-sized quantum computer that can control humans and steal their imaginations and thoughts. The model of sophon is in the real quantum models where the proton, or quarks that form this hadron will be put into the superposition and entanglement. This kind of quantum computer is very unstable. There are models made of what those sophons can be. And one of them is that the sophon could be the group of photons that are trapped around the quantum-size black hole. The other version could be the quantum-size grey hole. 

The system creates those things by pressing some particles like protons with antimatter implosion. The ball-shaped antimatter-matter ball will be exploded around the proton. That thing can be the fullerene that acts like an implosion bomb. And then photons will be put around that extremely dense object. And the system will transport data into them. 

But there is another way to make the theoretical sophons. That is the DNA-based quantum computer. The system can be an artificial bacteria or an artificial amoeba that is injected into the target’s blood. There, genetically engineered amoebae can travel to the human brain. Then that thing will steal the electric impulses or make copies of the neurotransmitters in that thing. 

When the artificial amoeba or biorobot is ready it calls the genetically engineered mosquito to pull it out from the blood vessels. 

The artificial mosquito can use certain chemical marks, antibodies to call the artificial amoeba to it. And that amoeba can also send neurotransmitters to neurons around it. The system mimics the natural parasites. But their purpose is different. Their mission is to paralyze and steal information from the targeted person's nervous system and even control that person. 

Then that mosquito travels to the laboratory. And there are many ways that that thing can transmit data to the computer. The mosquito can split that amoeba on the research table. Then the amoeba starts to blink the bioluminescence light and using that light the biorobot can transmit information that it got to a photovoltaic cell. The amoeba can also reprogram the mosquito and make it communicate with computers. The artificial amoeba-mosquito couple can be the ultimate tool for intelligence and other systems. 

The AI that beats humans is at the door.

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

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

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

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

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

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

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

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

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

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

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

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

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

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

The new form of living is the “new village”.

In medieval times the city walls separated people who lived in the city from people, who lived outside the wall. There lived people who ever stepped out of the city. In that time people told stories that in the forests lived monsters who ate people. Sometimes mentally ill people are banished to the forests. But those walls created a feeling that the world outside the walls was hostile. That increased the city leader’s authority. When people believed that there were evil spirits in the forests around them, that thing made them easier to control. And the question is: are we returning to those kinds of cities? 

What if our future is that we would live our entire life in the same building? Things like artificial intelligence and virtual reality make it possible to make virtual trips to lands that are far away from the place where we live. We can simply open a solarium, take a VR system to our eyes, and then the AI-controlled system connects winds, sounds, and other things that we need to the space. The AI observes that we will not take too much radiation. 

The Saudi-Arabian mega project called “Neom”. That thing will be the most incredible megastructure in the world. That kind of thing brings the new types of village societies into the front of our eyes. The idea is that the system brings homes, all services, and workplaces under one dome. And in some visions, cities like New York will be covered with giant domes that should make the air comfortable every month. That thing brings the route to the ultimate segregation into the front of our eyes. That thing can look like a village society with idyllic things, like the ability to keep the T-shirt on every day. 

What happens if we ever leave that dome? Can that dome feel good? The fact is this: the dome turns into an entirety where we can live. We will never feel fresh air. All physical works are made with robots. And maybe we see the future as a thing where there are giant forests and there are giant domes there and here. That future is the thing that takes us to heaven and hellfire. The AI-controlled structure allows us to control each other. The place where we would live is safe. 

But there is also another side in that idyllic structure. That structure can turn into a prison. What if our leaders will use that thing against us? The dome allows people to control people simply by using the chemicals that are in the air. Or the leaders can use the air pumps to control air pressure. And as always: there is a chance to use that kind of system to steal people's lives and entirety. This dome can turn into the thing that brings the highest walls between people that have ever been made in history. But that kind of thing offers solutions that can also save nature. The city can use green energy as an example of energy production.