New types of particle accelerators revolutionize civil and military research.

"Conceptual illustration of micronozzle acceleration (MNA). A solid hydrogen rod is embedded in an aluminum micronozzle, which channels and focuses plasma flow to optimize proton acceleration. Credit: Masakatsu Murakami"(Phys.org/Tabletop particle blaster: How tiny nozzles and lasers could replace giant accelerators)

Lasers and micronozzles bring the tabletop particle accelerators closer to reality. Those systems use laser beams and magnetic fields to accelerate protons and electrons. Those systems can raise the electron’s energy level. The new system that combines liquid hydrogen and laser beams can raise the proton’s energy level to 1 GeV. That kind of ion system is much smaller than CERN particle accelerators, The new accelerator type can revolutionize civil and military technology. The ion engines or plasma ion engines that use high-energy plasma to create thrust can use that new particle accelerator type. 

The system can inject high-energy particles into gas and that system turns plasma into a high-energy level. The ion engine that can expand plasma like a regular rocket engine can form higher thrust than the regular ion engines. The plasma-ion engines combine ion and rocket engines under the new hybrid concept where high-energy plasma raises the gas temperature. There is a possibility to use antimatter injection to create high-energy plasma. The antiproton or positron injection will raise the gas's temperature and that creates thrust. 

"Concept of micronozzle acceleration (MNA). The MNA target employs a micronozzle housing a solid hydrogen rod (H-rod), precisely placed near the nozzle neck to maximize proton yield. Acting as a "power lens," the micronozzle focuses the incident laser energy onto the H-rod, enabling efficient and localized energy deposition. This configuration significantly boosts proton acceleration near the nozzle exit, outperforming setups lacking the nozzle structure. Credit: Scientific Reports (2025). DOI: 10.1038/s41598-025-03385-x" (Phys.org/Tabletop particle blaster: How tiny nozzles and lasers could replace giant accelerators)

*The implications are wide-reaching:

*Energy: Supports fast ignition schemes in laser-driven nuclear fusion.

*Medicine: Enables more compact and precise systems for proton cancer therapy.

*Fundamental science: Creates conditions to simulate extreme astrophysical environments and probe matter under ultra-strong magnetic fields.

(Phys.org/Tabletop particle blaster: How tiny nozzles and lasers could replace giant accelerators)

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

"Illustration of a spacecraft powered by nuclear propulsion and solar sails traveling towards Sedna. Image generated by AI." (RudeBaquette, “We’re Finally Fast Enough”: Nuclear Propulsion and Solar Sails Could Blast a Spacecraft to Sedna in Just 7 Years)

In that spacecraft, the solar sail can act as a reactor cooler. The futuristic system comprises a solar sail and a nuclear thermal engine that can boost the rocket into a very high speed. And the atomic engine can use pulsed plasma to create ultra-high thrust. Begin of the journey the system can use both, solar sail and a nuclear engine for maximum thrust. Then at a longer distance that solar sail can turn into a cooling system. 

These kinds of plasma systems are dangerous in the wrong hands. The ion cannon is basically the same system as the ion engine. The main problem with ion cannons is how to keep the particle beam in its form. Particles with the same polarity repel each other. There is a possibility to shoot electron beams in the ion beam. Or the target can be loaded with opposite-polarity electricity that pulls those ions to it.

But there is also the possibility of creating plasma bombs by using ion technology. Basically, a plasma bomb is only a magnetic tank where high-energy plasma hovers away from the wall. The laser, microwave, or particle accelerators can create that plasma. The particle accelerator can load high-energy plasma into the bomb by using the positron injection. When that bomb drops to the ground its shell is broken. And that releases plasma from 10- 10000 or even millions of degrees Celsius to the air. Theoretically, plasma bombs can replace thermonuclear weapons if they can create plasma that has a temperature of tens of millions of degrees Celsius. 

The antimatter bomb is the tank where antimatter hovers away from the walls. The small-sized particle accelerator that is in the airplane can load antimatter into those capsules that the system shoots at the enemy. The antimatter capsules can also be used as fuel pellets for antimatter rockets. 

https://physicsworld.com/a/micronozzle-could-give-laser-driven-particle-accelerators-a-boost/

https://phys.org/news/2025-06-tabletop-particle-blaster-tiny-nozzles.html

https://www.rudebaguette.com/en/2025/07/were-finally-fast-enough-nuclear-propulsion-and-solar-sails-could-blast-a-spacecraft-to-sedna-in-just-7-years/

The String theory and the 5-plet problem.

"Concept image of strange particles in an atom." (InterestingEngineering)

The 5-plet is a strange 5-particle group detected in the Large Hadron Collider that can challenge String theory and give answers for Dark Matter problems. The problem is that the 5-plet must not exist in the String model. But it still exists. When we think about String theory itself, that theory seems to give answers to every problem in the universe. String theory has the same problem with the Big Bang theory. That theory is commonly accepted, even if it's incomplete. String theory is made for filling the Big Bang theory giving answers to where the material that formed the Big Bang came from. The purpose of String Theory is to answer the question: What “exploded" in the Big Bang? 

String theory is not the same as the Grand Unified Theory, GUT. Some people think that the String theory gives answers to all problems in the universe. 

That is not even close to the truth. The String theory handles small parts of the entirety. And the thing that supports some kind of superstring’s existence is the cosmic web. The main idea of the String theory is that the internal superstrings or energy channels form a dimension. And the universe is like a bubble in one extremely large superstring. Those strings also form material and everything. And every single particle is a bubble in a superstring. We often forget that the Superstring theory is a repair tool for the Big Bang theory, which should explain where the material and energy came from. 

(InterestingEngineering)

The problem with the Big Bang theory is this: it doesn’t answer one of the most critical questions in physics. Where did that energy that formed the Big Bang come from? The Big Bang theory's basement is in the wave-particle duality, WPD. That means wave movement can turn into particles and particles can turn into wave movement. But without wave movement, there are no particles. So there are many updates in the Big Bang theory. The most modern model is that time itself formed the Big Bang. And the Big Bang was rather the Big Burst than the single Bang. That means in modern models the Big Bang was a series of events that formed the material in the form as we know it. 

That means the Big Bang was some kind of annihilation, but it doesn’t answer where those particles that formed the annihilation came from. One of the suggestions for that question is that there formed a giant black hole that exploded.  That black hole could have formed from wave movement that existed before the Big Bang. Or, another suggestion is that the hypothetical black hole was a remnant of the universe that existed before our universe. The multiverse model explains the space as a dimension where Big Bangs happen all the time. And universes form in the crossing points of other universes' radiation. That radiation pushes particles or wave movement into the points where their gravitational effect starts to form new universes. 

But proving that the model is not a very easy thing. If there is material outside the universe, that material is so cold that we cannot see it. But the multiverse is a logical conclusion that begins from the galaxies, galaxy clusters, and superclusters. The idea is that the universe itself is part of a larger entirety. But then we face another way to answer the problem of where everything came from. That answer is written in a very incomplete Brane theory. The idea is that the dimension or third dimension simply collapsed. That opened the channel from the fourth dimension straight to the second dimension. That energy channel formed the event called the Big Bang. If that model can be true the 3D material cannot close that channel because its energy level is too high. 

https://interestingengineering.com/science/ghost-particles-that-could-snap-string-theory

https://penntoday.upenn.edu/news/things-know-can-data-large-hadron-collider-snap-string-theory

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

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

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

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

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

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

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. 

The new open-source robot is a tool for everyone.

The open source opens a path to open applications. In open applications, the physical tool is the platform that can do “everything and more” as humans. The open application means that the robot itself is a platform that can be equipped with the tools and programs that determine its purpose and work. The man-shaped robot is the tool that can make “all things” that humans can do. The robot body can be remotely controlled, or an independently operating system. 

Macro learning where a robot learns through modules is the tool that makes the robot’s limited computer capacity more effective. The operator uses a system that records the things. That the robot must do in certain situations. When the robot makes something for the first time, the operator creates a macro. And then if there are similar situations the robot can launch the macro independently or ask the controller to make that thing. 

The idea is taken from the text editors and spreadsheets. There is a possibility to record some actions that are used commonly. The macro programming for robots follows the same principles. The thing that makes man-shaped robots very good tools is that they can act as builders, cab, and bus drivers, fighter pilots, firemen and make all dangerous missions. The same robot can change its role in less than a second. The things that separate fireman-robots from bus-driving robots and military operating robots are skills or datasets that the system can use. The operator must only change the dataset for the robot. 

And then that system finds a new role. The datasets or skills are collections of the macros. Those macros are activated when there is a thing that matches with descriptions. This means that when the fighter pilot robot operates things like alarm signals activate certain macros. The open source robots that act as cleaners are a good idea. But people don’t always remember that changing the program makes those robots the tools that can operate as commandos. 

When researchers create robots that they can teach, we sometimes forget one thing. That is, those robots can operate as networks. When somebody teaches or creates a macro for one robot, that robot can spread that macro over the entire network. And here is the problem with the “machine rebellion”. Machines will not rebel. This is the key element in robotics. 

But should we somehow transform that argument? We should say that machines will not rebel autonomously. So, we must not worry about the machine rebellion, but we must be worried about human-controlled machine rebellion. We can imagine a situation where somebody simply buys let’s say million housekeeping robots. Then that person will simply change those robot’s programs. And then that system is ready for combat. 

Robots can be dangerous to humans for two reasons: 

1) They are made to be dangerous. That means that things like combat and security robots can be dangerous. 

2) Robots can turn dangerous if there are some errors in programming. 

All errors that machines and especially computers make are made by programmers. The computer will not be automatically dangerous. Same way robots might not be dangerous if they operate as they should. The problem is that when robots are not programmed with certain accuracy, that makes them dangerous. In the cases where robots refuse to stop their actions, they might turn dangerous. 

There is a possibility that in the case of fire, the robot who works as a house guard denies the firemen's operation. The reason for that can be that these kinds of emergency situations are not determined in their program. So, when firemen come in, the robot can think that they are intruders. The other case can be that the law-enforcement robot has no descriptions of things like umbrellas. That robot can think that those things are weapons. 

In another scenario. Programmers forget to determine green T-shirts. or green balloons for the car’s autopilot programs. That thing can cause an error if the autopilot determines a green balloon as a green traffic light. And that causes a destructive situation. 

In some models, the other civilization can cause the end of some other civilization by accident. The system encoders simply forget to make the breaking protocol to the computer. And then that probe comes to the star system. The AI simply forgets to slow down and then the probe will impact the planet with a speed of about 20% of the speed of light. 

That causes the model that the most dangerous thing in the universe is the type of early Kardashev 2. Or late Kardashev class 1 civilization that sends first probes to another solar system. 

That civilization will not handle that technology yet. Without wormholes, it takes years or centuries to get information from that spacecraft. And if there are some errors in programming that spacecraft can impact the planet. The theoretical minimum weight of that probe is about 10000 tons and if it impacts the planet there is not much left. 

https://www.rudebaguette.com/en/2025/06/humanoid-bots-for-everyone-new-open-source-robot-unveiled-in-the-u-s-makes-advanced-robotics-affordable-for-total-beginners/

Why would AI kill humans rather than let them shut down the server?

 

Why would AI kill humans rather than let them shut down the server?

These kinds of situations are very bad. But the problem is in the program code. When we talk about AI and its ability to kill humans we must realize something. We must realize that the AI will not understand what those things actually mean. If we think about those things like a programmer, we might understand that situation better. When we write programs we must determine a variable in the code. The “human” is one of those variables. In traditional programming when something matches a variable, that thing runs the subprogram or macro. There are descriptions of things that launch a certain macro. The variable actually activates the pointer that begins the sub-program. 

Or, otherwise, it calls the sub-program. In traditional programming the thing goes like this: When the user writes the word “Goofy” there is a code that activates the Goofy. In programming that orders the program to jump to a point, where is the macro where the pointer “Goofy” points. In AI programming those variables and pointers are more complicated to describe. 

That means that if the “human” is not well described to a system or algorithm that system can even kill a human. When computer operators work with servers and other things in computer halls. They must sometimes shut the server down. In those cases, the data will be copied to the swap system that guarantees the service without stops. The problem is this: if the system lets anybody shut it down that allows vandalism. 

The system might have orders to deny or stop the malicious action. The system requires precise orders about things. Like when it must or should stop the action. 

If the system has an order to stop that kind of action there is a possibility that the system simply kills the actor. When we think about cases like machine rebellions or the situations where computers turn against humans like in 2001 Space Odyssey those situations can happen. Because of the programming error. In that movie, the HAL-9000 computer kills almost the entire crew of the spaceship. Can this happen in real life? The answer is in programming. If the computer has no description of the humans and it has the order to remove malfunctioned systems from the spacecraft, that thing can cause destructive cases. 

There is also the possibility that the AI recognizes humans using cameras and IR systems. When humans put space suits on, it causes a situation where the AI will not see human faces because of the black mask. And the other thing is that the space suit does not let infrared radiation go through it. That means the system can “think” that the astronaut, who uses a space suit, is a robot. If an astronaut makes some mistake that causes a situation where the system translates the space-suited human as a robot. Then the system tries to remove those malfunctioning robots. 

When the astronaut cannot catch the tool the system will try to remove the astronaut that it thinks of as a robot. If the robot cannot catch the tool and the computer removes it seems like an overreaction. The reason for that overreaction is that there are no descriptions of the cases where the robot makes such big mistakes that it must be removed. If those things are not described every mistake that robot makes causes the removement. If a robot drops one screw to the floor and the programmer describes that “mistakes cause removement” that means the system translates even the smallest mistakes to cases, and their robot must be removed. If those cases are not described every mistake causes the removement. The system will not automatically make a difference between small and big mistakes. If the only thing is a mistake, the system removes the robot even if it drops the cup from the table. 

Mathematics, geometry, and quantum.

In the image in this text is an image of lupine and image of a quantum experiment there is tested Landrauer's principle. “Landauer's principle is a physical principle pertaining to a lower theoretical limit of energy consumption of computation. It holds that an irreversible change in information stored in a computer, such as merging two computational paths, dissipates a minimum amount of heat to its surroundings. It is hypothesized that energy consumption below this lower bound would require the development of reversible computing. The principle was first proposed by Rolf Landauer in 1961.” (Wikipedia, Landauer's principle)

Both the flower and those quantum fields form the tower. And the remarkable thing is that those quantum fields form a similar structure as a series of coils that send radiation from their sides. That kind of quantum tower can send information to the receiving coils or layers if they are against each other. Same way a radio antenna transmits information from the points where the Hall effect forms the plate-shaped expansion into the electromagnetic (quantum) field between atoms. 

"Quantum magnetometers are breaking barriers in magnetic sensing — but are they really quantum? A new study digs into how far these devices can go and what defines their quantum nature. Credit: SciTechDaily.com"(ScitechDaily, Quantum Sensors That Hear Magnetic Whispers – And Push Physics to Its Limit). Those sensors could form a tower that can scan quite a large area. 

Quantum magnetometers can detect incredibly small changes in magnetic fields by tapping into the strange and powerful features of quantum physics. These devices rely on the discrete nature and coherence of quantum particles—behaviors that give them a major edge over classical sensors. But how far can their sensitivity go? And what actually makes a magnetometer “quantum?” (ScitechDaily, Quantum Sensors That Hear Magnetic Whispers – And Push Physics to Its Limit)

Those fields form when an electromagnetic wave travels between atoms.  When that wave hits an atom's quantum field it causes a wave. That wave or resistance makes it possible that the system can press information into the sides of the antenna.  When we think about those Hall fields and those flowers, we can imagine a situation where those flowers could send chemical signals from their flowers to another flower. That thing is not proven. But the lupine flowers can act as models for directed radio transmitters that send coherent radio signals to the receiver. 

The second image introduces the model of the quantum fields around quantum sensors. Those quantum fields allow those sensors to sense things that were unable to detect before. When we think about things like quantum computers, erasing information is also important. If we can trap wave movement into the bubble, we can erase that information by pressing wave movement into a straight position. 

We can see that the same forms repeat in nature. The image from the Landrauer’s principle has a similar form with flowering plants. And that causes an interesting question. Can we someday calculate things like quantum fields' form in situations where some high-power energy impulse hits them. If we think that the quantum tower is similar in all sizes of quantum systems, we can make the new types of quantum systems that are more sensitive than ever before.  

There is a possibility that the quantum sensor looks like the quantum tower where the electrons or photons hover between objects and those quantum fields. When we make superposition and entanglement we must know everything from the system. We must predict things like FRBs and other changes in the power of electromagnetic fields. 

https://phys.org/news/2025-06-approach-probing-landauer-principle-quantum.html

https://scitechdaily.com/quantum-sensors-that-hear-magnetic-whispers-and-push-physics-to-its-limit/

https://scitechdaily.com/the-quantum-price-of-forgetting-scientists-finally-measure-the-energy-cost-of-deleting-information/

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

The AI learns like a child.

Why did the old-timer ATARI chess console beat Chat-GPT? Or why that old-fashioned Chess console could beat humans in chess? The reason for that is the same as in cases where our robot reapers will always get stuck when it works. If we ever play against those antique game consoles we don’t win them. The old-fashioned ATARI involves a couple of mechanic games. But we cannot predict how it moves its buttons if we don’t play against those consoles. That means we win those consoles because we learn how that console plays its game. Those consoles use traditional linear computer programs. If some button is hit the system removes code lines that were meant for that button. 

The old-fashioned ATARI shows that AI requires similar learning methods as humans. So why are our robot reapers unable to do their job? When we program those systems we must stop thinking like programmers who use linear, symbolic programming languages. We should take control of that reaper, and drive the area by pushing that system through the grass area. The system must have navigation tools that help the system to determine its place in the yard. Those navigation tools can be three or four radio lighthouses that help the robot determine its position without the GPS. 

The system can also have a GPS that helps to locate the robot if somebody steals it. When the owner pushes the first mows that helps the robot’s system to determine how much energy it needs. That helps it to plan the battery reload position. The system also needs information about the escarpments and potholes. Those things might be easy for humans or big robots. But for small robots, those things can cause trouble. When we teach AI, we must remember that there are many variables that don’t mean anything to us. But those things are very important for robots who must make complicated things. 

Many complicated things like working in cramped places are automatized in our bodies. But if we want to make a robot plumber we must program every movement that plumbers make doing jobs. That thing requires new programming tools like AI-based systems that can follow the plumber while working. Then that system must copy those movements to the robot’s body. This is one thing that requires advancements. Traditional programming tools are not suitable if we want to describe multiple actions to robots. 

https://www.rudebaguette.com/en/2025/06/chatgpt-just-got-wrecked-by-a-1977-atari-vintage-console-destroys-modern-ai-in-the-most-ridiculous-chess-match-ever/

Lasers offer secure data and maybe power transmission tools.

"Illustration of a precision laser being fired from Earth to a satellite orbiting the Moon during daylight (AI-generated, non-realistic illustration). Credit: Ideogram." (Sustainability times, China Hits the Moon With a Laser: First Daylight Lunar Reflection in History Stuns Scientists and Ignites Global Space Race)

When Oxford researchers created light from a vacuum they created the possibility to create sterile photons. The sterile photon is the new tool for photonics and quantum computing. By stressing atoms and particles by using laser rays the system can maintain quantum states and superpositions 1000X longer than in regular cases. 

And that is the big advance for quantum computing and quantum communication. In quantum communication, the system can put two particles into superposition and entanglement. Then it sends information to the transmitting side of that structure. That is one way to make a quantum communication system. The hollow laser ray can protect that structure, 

When Chinese researchers sent high-power laser beams straight to the moon, they opened the road to high-power, highly secured data transmission into the Moon. That opens new ways to transport data to the Moon rovers using light. We know that the Chinese are interested in space as the base of military applications. Moon offers a good platform for intelligence work. It offers a good platform for biological laboratories. Those bases are easy to control and if there is a leak, those organisms will not spread across the Earth. 

And the rocket- or missile stations on the moon are systems that can revolutionize science and warfare. Kinetic energy weapons like about 1-10 kilogram projectiles that shoot from the Moon to the Earth will get a very powerful kinetic energy load. The system must only shoot that rocket across the gravity threshold which is the point where the Earth's gravity turns dominating. 

The laser data transmission is faster than any Starlink system. And there is the possibility of using acoustic wormholes or phononic vacuum channels through the air to minimize scattering. The quantum computer can use lasers as data transmitters. Each energy level in a laser is a certain qubit state. Otherwise, every wavelength or color of the lasers can be a certain qubit or its state. In binary data transmission red can be one and blue laser can be zero. That opens new ways to transmit data. 

The problem with lasers is scattering. But if we think about hybrid systems like microwaves, phonons, and internal lasers where data travels in the laser ray that travels in another, hollow laser ray that kind of system can create tunnels through clouds, dust, and fog. 

Optical systems create less heat than electric systems. Optical computers and microchips are the next-generation tools for computers. There are two ways to make photonic computers. In simpler systems, lasers replace only wires that transport electricity between microchips. However, the more advanced systems include optical data transmission inside the microchips. 

High-power communication lasers also offer the weapon option. The laser ray that hits satellites is the tool that can destroy almost all systems that we know. The difference between communication, data, energy transfer and weapons is the power of the laser system. Many people say that orbital lasers are not dangerous for humans on the ground. If we think about kilometer-long modular laser systems that get their energy from the sunlight that system can destroy any target also from the ground. 

The laser beam can be aimed at the target over the hills using drones that carry mirrors. Those mirrors can be used to send laser beams from the ground over hills and houses. In some ASAT systems, it is planned to use mirror satellites that aim the ground-launched laser impulses into the satellites that have no visual contact with the laser station. Those mirrors can also convey laser data transmission pulses. There is also the possibility of shooting laser beams into the balloons with low-temperature gas. That causes explosions and powerful shockwaves because of fast gas expansion. 

Laser systems are like any other radiation. If another laser ray impacts a more powerful laser ray, that is more powerful, and that more powerful laser takes that weaker laser ray with it. That means more powerful lasers can turn weaker laser rays away from targets. That makes it possible to jam the laser communication. But that requires that the system knows the place where that laser beam travels. The jammer must also have the same frequency. 

https://www.rudebaguette.com/en/2025/06/up-to-100x-faster-than-starlink-taara-emerges-with-light-speed-tech-to-revolutionize-global-internet-access-and-shatter-all-limits/

https://scitechdaily.com/quantum-time-freeze-lasers-lock-quantum-states-1000x-longer/

https://scitechdaily.com/mits-optical-ai-chip-that-could-revolutionize-6g-at-the-speed-of-light/

https://www.rudebaguette.com/en/2025/06/up-to-100x-faster-than-starlink-taara-emerges-with-light-speed-tech-to-revolutionize-global-internet-access-and-shatter-all-limits/

https://www.rudebaguette.com/en/2025/06/nothing-has-ever-been-this-powerful-zeus-laser-shatters-all-records-with-earths-most-intense-energy-blast/

https://scitechdaily.com/quantum-vacuum-breakthrough-oxford-physicists-make-light-emerge-from-nothing/

https://www.sustainability-times.com/energy/u-s-spy-flight-uncovers-fusion-laser-china-caught-building-colossal-device-that-could-reshape-global-energy-and-warfare/

https://www.sustainability-times.com/energy/chinas-massive-nuclear-laser-project-exposed-by-u-s-satellite-this-shocking-military-development-could-tip-the-balance-of-power/

AI is the tool that can change web searches forever.

The new AI will not destroy Google immediately. But those new systems can have a big influence on Google for a longer period. The fact is Google controls so large a data mass that its power on AI development is stunning. However, the new AI-based tools can connect search results from multiple search engines. And then it can refer to those results and make the list of homepages that it used for the solution. Google's dominance ends when those AI-based search solutions can create such large databases that it can turn independent from traditional search engines. 

And that is the main problem with those things. Google is not the only search engine in the world. There are many other search engines that want to drop Google from its position. But some of those search engines are powered by Google. They offer one interface between a search engine and the user. Search engines require lots of computer power as well as AI needs. Companies like Google sell data. 

That means those search engines are operated by private corporations whose business is to sell data. The thing that makes those companies so powerful is that they collect data about the clicks that users give to them. The number of clicks raises the page rank. And that raises the homepage’s position on the search result list. This is one thing that causes critics against that system. It’s hard to get new home pages to the top of that page ranking list. People normally see only a couple of top homepages from that list. And then they select the thing that they think is the best. 

This is the Matthew effect in the web searches. Homepages that already have a massive number of clicks will get much more. And homepages that have no clicks will not even get them. That is the thing in web dominance. AI-based solutions can use many search engines at the same time. The thing that makes those applications interesting is the results or references that depend on the information that it gets if the AI-based web search application can see what type of persons will read those homepages. If some homepage is used by professors who work in a trusted university, that can justify that other people can trust those homepages. But how to confirm those people’s real identity? 

One solution is the quest book where people can say their work. And then we must also realize that confirming those answers is quite difficult. People can write anything they want in those quest books. Confirming those answers requires hard recognition. And that’s against privacy. Privacy protects people on the net. But the same thing offers protection for cheaters, propagandists, and net criminals. There are countries that collect data from all their citizens. 

But people will not need only search lists. The problem with those lists is that they are based on web addresses. There is a possibility that somebody changes the data that those homepages involve. First the page rank will rise using some addictive material. Then the workers change texts, or information from the homepage. That is the tool that is effective for hybrid operations and propaganda work. That is one thing that causes the need to create more advanced tools that can use data deeper than regular search engines. 

The biggest problem with modern networks is disinformation. The other problem is how to describe disinformation? People like V. Putin has a different way to see that thing than regular western actors. That is one of the things that we must realize. The same tool that works against propaganda and disinformation can turn the ultimate tool in their hands. 

https://www.rudebaguette.com/en/2025/06/chatgpt-wont-kill-google-sam-altman-downplays-the-hype-while-quietly-reshaping-the-future-of-search-with-every-new-update/

The Chinese AI strategy is simple. That country wants to be the number one actor in AI development by 2030.

The new Chinese AI called “Manus” doesn't need humans for self-development. We can wonder how the Chinese can make that tool. The thing that guarantees success is the high-ranking official and political support for the AI framework. The Communist Party of China determines its official goal for AI development is that China will be the number one actor in AI development by 2030. That is the official goal. And we know that China wants to use AI as a tool to control people. And work as an ultimate intelligence tool. 

That means Manus is quite near the Artificial General Intelligence, AGI. The AGI is the tool that can control things across the technological field. The AI can connect the robot’s operating systems to itself. The other way is that the AI rewrites the operating system for machines. And that makes those AI systems more versatile than normal AIs. But the fact is this: the new normal will be the AI. And China wants to be number one in that development work. The AI strategy for Chinese R&D work is simple. China wants to be number one in AI development by 2030. And that work gets high-level political support. 

This means that people who work with the AI and R&D programs in that system will get privileges if they work with that work. In China, authorities and high-level political leaders understand the benefits that AI can bring to their work. The hacker spies who brought lots of highly classified data into the hands of the Chinese intelligence gave a demonstration of high-level political support and investments in data skills to Chinese authorities. Those hacking cases from 2011 to 2015 brought hypersonic missiles and other things into the Chinese hands. And still today we discuss how we can stop AI development. So, maybe the Chinese want to be number one in AI development. 

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Morgan Stanley's report says: 

- China is becoming a world leader in AI because of government support and its focus on computing efficiency.

-The country’s AI industry and related sectors could grow into a market valued at $1.4 trillion by 2030.

-China’s AI investments may break even by 2028 and deliver a 52% return on invested capital by 2030.

-U.S. export controls could create barriers for AI development in China but won’t stop its progress.

- AI is likely to boost China’s GDP growth by powering investment in the next two to three years and improving productivity over the longer run.

https://www.morganstanley.com/insights/articles/china-ai-becoming-global-leader

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They can make things like AI-spying tools that operate in the net like ghosts and steal data from anywhere they want. And that data can be driven to another AI that makes models for the manufacturing platforms. Maybe we say to the Chinese that they should not steal our data from companies who spent years on that thing. But maybe the Chinese will understand us, and stop making those tools. AI is the new tool for the arms race. It can collect data from multiple sources and then use that data to make new solutions. One version of how the hostile actor gets access to data is to cheat people using that actor’s AI. That thing can happen simply by offering better tools for people. That tool can copy data to the databases, where intelligence officials can have access. But how to remove warnings and things like censorship? 

The Chinese AI refuses to discuss things like the Tiananmen incident, where Chinese authorities crushed the opposition. One version is simply to make their AI for foreigners and then that AI can dump data to the PLA’s intelligence section. That means the AI can operate like any other AI. But it dumps data to China by using backup backup. So, if some Western actor can make something using those AIs that means they make backup copies of that data straight to Chinese intelligence official's servers. 

This is one of the things that we must realize. When we put limits on AI development. The high-level political support means that those AIs and other things are more effective than we even realize. That support means that those systems and their developers have full access to the user's data. So there are no breaks for that work. 

https://www.atlanticcouncil.org/content-series/strategic-insights-memos/assessing-chinas-ai-development-and-forecasting-its-future-tech-priorities/

https://www.ginc.org/chinas-national-ai-strategy/

https://www.morganstanley.com/insights/articles/china-ai-becoming-global-leader

https://techbriefly.com/2025/03/10/manus-is-china-ai-that-works-without-humans/

Sometimes AI is like a child.

AI is more toddler than terminator. So, we can think that the AI is like a child who controls things like robots, vehicles, rockets, and even weapon systems. When we think about the latest advances in the world of AI and the self-advancing, and self-developing AIs that can create other AIs, we face one big problem. The problem is that if we want to be effective, we must use AI. And most of the AI companies must find their funding from private persons, or customers who are willing to pay licenses. This means that normal users or license owners are not humans. They are companies whose purpose is to maximize the profits of their owners. That means the AI offers a tool that can kick coders out of the workplace. 

And those AI companies must always make new things for their products that their customers are interested in. And buy those licenses. A significant issue in companies is that they are privately owned. They are not controlled by the governments. Private companies do what their stock-owners want them to do. They can outsource their production to countries where there are no laws that control data mining and personal data collection.  Or, they can outsource their production to countries where authorities don’t care about those laws. It is possible to buy “special permissions” to collect that data for products that benefit the defense of the state. 

People ask for some leader who controls AI development. The problem is that AI development happens under private companies. Those companies have no right to make contracts and discuss their work between companies. Those things are limited by cartel directives. That means cartels are things that can deny discussions between companies and set common goals for AI development. The big thing is that the Chinese authorities and intelligence can establish cover-up corporations in some countries and hire AI specialists to work for them. That is the new way to make intelligence work. Those actors can simply hire software specialists who are fired from their work. In China, it is impossible to establish companies without the authorities' support and cooperation. If authorities have no access to private company servers that means the company stops its work. 

And then they can use people who have EU passports and citizenships for actors who make that company for them. Those people who work in PLA (People’s Liberation Army) intelligence have methods to persuade people who left China to cooperate with them. They can say that family members who will enter military service will face problems in that army. And for cooperation, those people should establish companies in some countries. And then the entire work that those people will make will be copied to servers that are located in Hong Kong and Beijing. That is one way to do business that benefits those Eastern actors. When people use Chinese AI they also deliver information to that country. In those Eastern countries, the security laws don’t limit the authority's access to people's personal data. And that means those laws obligate only private actors.