Every object in orbit could be an ASAT weapon.

   Every object in orbit could be an ASAT weapon. 

Researchers are worried. That China’s space-debris catcher can turn into an ASAT, an Anti-Satellite weapon. A debris catcher can also hijack other satellites. And that is the risk for national security. Satellites are vulnerable targets in modern warfare. They also play a key role in detecting enemies and providing communication datalinks and location services for both military and civilian services. The radar satellites can also detect their own troops if they carry a transponder that shows their location to radar satellites. The problem with radar satellites is that those satellites are easy to knock out. The ASAT missile can have similar systems what regular anti-radiation missile uses when it attacks regular targets. 

The drone swarms are things that require satellite-based communication and that advance and accelerate the development of anti-satellite weapons. In some models, high-power radars send EMP pulses against satellites. High-power radar impulses can destroy the satellite's electronics. Or the system can form an electric arc around the satellite. There are systems that push satellites into the atmosphere. In the Cold War era, the Soviets made so-called “Almaz” tests. where their satellites and Almaz-space stations, like Salyut 5, tested things like machine guns against satellites. There is a possibility that some miniature shuttles have ASAT roles in the military world. 

Things like Fractional Orbital Bombardment Systems, FOBS, causes the need for rapid reaction ASAT systems that can take these kinds of things out from orbit. The Chinese space shuttle made a flight with groups of mysterious objects, and that could be the test. There, the shuttle releases  and collects FOBS weapons, “space mines,” from the orbiter. The space mine means the structure whose purpose is to close the orbiter. Sometimes, miniature satellites that the kevlar wires connect together are planned for that mission. The problem is that the space mine must be removed when own operations begin. The nukes that are positioned into the orbiter can also be used to destroy other satellites and create EMP pulses that purpose it take the defense systems out. 

Things like laser systems are used to blind satellites. But there have been systems created that can destroy a targeted satellite. Those lasers and other electromagnetic systems can have megawatt-scale power. The orbital laser-satellite, with similar lasers. Used in the metal industry can cut and damage other satellites' solar panels. 

This is one thing that we must realize. And the second thing is that every object in the orbiter is an ASAT weapon. The simplest ASAT system is the satellite that collides with another satellite. This makes micro-satellites a perfect weapon. They are tools that can observe other satellites, but they can also act as ammunition, when they collide with another satellite in the case of war. Another thing is that the simple but effective version of the kinetic energy weapons is the space shotgun. In some other versions, the system uses a giant net to capture and push the satellite out of its trajectory. 

The system uses a rocket engine. The system pumps metal balls to the nozzle. And then the exhaust gas will send those balls against the targeted satellites. Or the system can use Claymore mines. To shoot metal balls at targeted satellites. Or those satellites can rocket salvos against satellites. In some visions, the system can drive a large magnet that pulls ions from the Van Allen belt to the targeted satellites. In some versions, the regular rocket transports a large number of metal balls to the orbital trajectory, making it useless. 

The problem with the ASAT weapons is this. The orbital trajectory is full of debris. Things like debris-cleaners whose purpose is to remove space junk are also excellent ASAT systems. The satellite can be put in the plastic bag, made of mylar. And then the small satellite simply pulls it into the atmosphere. The flying garbage can that takes a satellite in the tank and returns it to the atmosphere is the thing that can hijack satellites. And that system can take them to the ground for investigations. The satellite hijackers can be used to steal data from the captured satellites. 

Things like manipulator arms are things. The system can be used to push other satellites into the atmosphere. And in some visions. The satellites that carry hypersonic parachutes for return and recycle their components can also capture other satellites into those parachutes and take their targets with them. The parachutes can make it possible to research the microchips' sustainability against cosmic radiation. The problem is that the directed energy plasmoid weapons can cause similar damage to the solar plasma flow. The plasmoid weapon can knock out other satellites. And those kinds of things can be misidentified, caused by  solar wind. 

https://www.rudebaguette.com/en/2025/08/watched-net-drift-toward-a-target-in-silence-chinas-space-debris-catcher-sparks-fears-of-covert-anti-satellite-weapon-use/

https://www.twz.com/chinas-spaceplane-has-released-multiple-mystery-objects-in-orbit

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

The new supercomputers break limits.

  The new supercomputers break limits. 

“In a groundbreaking development poised to redefine the landscape of computational technology, China's unveiling of the Zuchongzhi 3.0 quantum processor, reportedly 1 quadrillion times faster than existing supercomputers, marks a significant leap forward in the quest for quantum supremacy.” (RudeBaguette/U.S. Intelligence on Red Alert After “Quantum Sparks Rip Through Limits” as China’s Processor Hits 1 Quadrillion and Threatens Google’s Willow Domination)

The Chinese new supercomputer causes discussions about the safety of its algorithms. The problem with things like RSA encryption is that they are made for binary computers. And the speed of those computers limits the effectiveness of that encryption. The problem is that the more powerful computer can break the encryption by using slower computers. The new high-power computers and computer groups are urgent tools for physics. And especially for protein research. But the same computers can also break codes. This makes those systems very dangerous in the wrong hands. 

Supercomputers in data centers can operate as a group. The RSA encryption is based on a very long binary number that the system generates using the Riemann conjecture. Or the so-called Zeta function. The system creates a so-called quantum prime number. That involves thousands, or even millions of decimals. The problem is that those numbers are in linear mode. The system can cut the number line at certain points. The system can share those parts, or sequences, with the computer group. 

We can think that there are supercomputers standing in line, and then the system shares the bite of the number line to each of them. When computers decode things like DNA molecules, they use this method. The linear information fits computers better than things like a chess game. In chess, the computer must run algorithms back and forth. This makes the chess game harder for computers than DNA decoding. The problem with the most advanced computers is that. 

They might have enough power to crack even the nuclear launch codes. The data center is also a tool that can operate as a powerful spy satellite. Remote-controlled supercomputers can make hacker operations over the net. Those systems can also make DOS attacks by pinging certain IP addresses and denying the system's operations. The AI-based hacking tools are powerful tools in the hands of intelligence. The operator can simply give an order to break into a certain system and then go to take coffee. 

The system generates the needed algorithm. And then it gives access to the targeted system. These kinds of systems can be better than regular hacking. If we think this. From the point of view of the Chinese and North Korean governments. Because it can deny the human operator access to all information outside targeted systems. The hackers are key operators in Chinese and North Korean intelligence. Those people are also good subjects for counter-propaganda or psychological operations. 

The ability to deny other than necessary information denies them access to “harmful information”. The hackers must have access to Western homepages so that they can get the information. That their government requires. That means they can get influence from Western culture. The idea of the North Korean and Chinese censorship is simple. If people don’t know about freedoms and other things that belong to the Western way of thinking, those people don’t miss those things. 

https://www.rudebaguette.com/en/2025/08/u-s-intelligence-on-red-alert-after-quantum-sparks-rip-through-limits-as-chinas-processor-hits-1-quadrillion-and-threatens-googles-willow-domination/

Black Holes, Dark Matter, and Information.

  Black Holes, Dark Matter, and Information. 

"Artist’s conception of a supermassive black hole, billions of times more massive than the sun, like those found at the centers of galaxies. The black hole’s rapid spin and powerful magnetic fields can launch enormous jets of plasma into space, a process that could potentially generate the same results as human-made supercolliders. Credit: Roberto Molar Candanosa/Johns Hopkins University" (ScitechDaily, Scientists Eye Black Holes as Cosmic Supercolliders in the Hunt for Dark Matter)

At the beginning of time, before our universe, only a G-field, or gravitational field, existed. Then, there formed some kind of whirls in that G-field. Those hypothetical whirls were gravitons. The idea is that the hypothetical graviton particle is a stick-shaped structure, a particle that forms from the quantum field. 

The form of the hypothetical graviton particle could be like tornado. So are the graviton and another hypothetical particle, axion the same thing? The idea is that we cannot see axions because their spin is so fast that it creates fields around them in the shape that looks a little bit like a black hole. 

The idea is that the graviton is so smooth that it cannot take outside fields inside it. And then it starts to transport those fields into its spin axle. So could that thing also explain dark energy? Graviton pulls energy from around it. That particle binds that energy inside in the form of kinetic energy and then aims it to the spin axle. That particle looks like a black hole. The particle collects energy until its energy level turns so high that energy can start to travel outside the particle or quantum field that surrounds it. 

When the mass or kinetic energy of a particle grows, it pulls material and quantum fields from larger areas into it. That thing locks black holes into their form. If that whirl vanishes black hole erupts immediately. That whirl denies the energy escaping from the particle’s or objects' equator. And that is the thing that creates the black hole’s relativistic jet. 

Black holes pull information inside them. Or if we think carefully, black hole rolls information from its environment around its spin axle. That means there is possibility to release that information. There is a question of whether information exists without a physical form. So if we think that information is wave movement, we must ask can information travel without superstrings or does it need superstring for existence. Information will be stored in quantum fields and particles as in curves. That should not be erased even in black holes. Those curves, or “mountains” and “valleys” can turn so low that they are hard to detect. 

But theoretically is possible to restore, or recalculate information that black hole stored. When black hole pulls quantum field, and information that quantum field carries inside it, we can think that the process is similar when something rolls paper around axle. The paper forms the roll, and it's possible to roll that paper from the axle. This is the thing. That makes the black hole collisions interesting. There is a possibility that during those events, the black hole can pull information out from another black hole. And possible somday we could decode that information. 

Researchers uncovered a hidden symphony in a black hole hidden vibrations. And that might help them to read information. That the black hole stored. 

"Black holes don’t just warp space, they sing. And now, for the first time, we’ve figured out what their cosmic echoes really sound like. Credit: Shutterstock" (ScitechDaily, Scientists Uncover the Spiraling Symphony Hidden in Black Hole Vibrations)

Another interesting thing in the universe are very old, large black holes. The biggest black holes formed in the early universe. Those monsters lost their mass after that. The reason for this is the expansion of the universe. Or, otherwise, weakening quantum fields and decreasing the number of particles. This thing tells. The universe expands. Or does it? There is another explanation for that thing. This very radical theory goes like this: the black hole is a more common phenomenon in the universe than we expected. And the black holes that are “sleeping” simply pull particles and quantum fields inside them. If those black holes exist between galaxies, they are very hard to detect. 

If all electromagnetic fields and particles are formed after the Big Bang, or the beginning of the universe, that means that when black holes pull those fields and particles inside them, there are fewer particles and fields left in the universe. So, can we see that effect as an expansion of the universe? There is a possibility that only the G-field existed before the Big Bang. And that field formed all other quantum fields. But we know that black holes are massive objects. There are black holes between galaxies. And black holes can collact particles to around them. 

That means that the dark matter should interact with black holes. And maybe that thing helps to find things like axions. Axions are hypothetical dark matter particles. Sometimes is introduced that axions are particles that spin very fast. That thing means that the axion can be like a stick or some kind of rugby ball. So, that means that. Maybe near black holes, regular particles could turn into axions. When a particle's spin accelerates, it binds energy into it in the form of kinetic energy. During that process, the outside quantum fields travel to that particle. 

And press it into a smaller size. If we think that particle is a whisk-shaped superstring stucture when outcoming quantum field pushes particle into a smaller size, those superstrings turn closer to each other. If those superstrings turn close enough to each oher. That turns the particle very smooth. And that means the quantum fields travel around the particle. The quantum fields that travel to the particle’s poles will start to travel out from the particle along its spin axis. That thing means that the particle starts stretching. 

And then it starts to transport the quantum field out from its spin axle. If some stick-shaped, fast-spinning particles form black holes, that means that the black hole will not pull things inside it. It just accelerates and aims fields form around it. That thing explains the black hole relativistic jet. That causes the idea. That maybe hypothetical gravitons are axions. Maybe. The graviton is like a tornado in the G-field.  As I wrote at the beginning of this text. 

https://scitechdaily.com/mysterious-radio-signals-reveal-whats-hiding-between-galaxies/

https://scitechdaily.com/scientists-eye-black-holes-as-cosmic-supercolliders-in-the-hunt-for-dark-matter/

https://scitechdaily.com/scientists-uncover-the-spiraling-symphony-hidden-in-black-hole-vibrations/

https://scitechdaily.com/webb-telescope-spots-oldest-black-hole-shattering-cosmic-records/

Rods from god, the orbital electromagnetic railguns.

    Rods from god, the orbital electromagnetic railguns. 

Artist's impression of a kinetic bombardment system: "Project Thor"

There have been plans to develop electromagnetic railguns that send ammunition to the target at a speed of approximately Mach 7. There have been tests in the USA and China of railguns equipped on landing ships and other naval vessels. Those systems are officially meant for destroying drones and other naval vessels and sweeping the landing beaches out from enemy bunkers. There is one little thing. that people don’t usually think. Things like laser- and microwave weapons are more effective against drones. 

They can destroy large groups of drones, and those systems do not use physical ammunition. That means their firepower is unlimited. In railguns, the ammunition sets the limit of firing. There is always a possibility that in the case of the drone swarms, the defender runs out of ammunition. And that means lasers are far better defense systems against those drone swarms. 

But are those railguns meant for orbital bombardment? In the Reagan administration, the Strategic Defense Initiative. (SDI). Or so-called “Star Wars” program was planned to create orbital railguns. The name of that project is "Project Thor". Those railguns' mission was to make orbital bombardment operations. Using the kinetic energy arrows. The idea was that the orbital railgun shoots those arrows to the ground. The power of those rods or arrows was far less than a nuclear warhead. But those systems can deliver more precise destruction than nuclear weapons. And they will not cause radioactive fallout. 

In Reagan's time, that system was denied. The price was too high. But today, AI and advanced power technology make it possible to create an orbital firebase that can shoot metal rods to the ground with ultimate precision. In Reagan’s time, there was only a nuclear power option in those systems. And today small, portabel nuclear reactors are “easy” to send to the orbital trajectory. 

Chinese railgun. The gun itself can be mounted to an orbital trajectory. Because of its quite small size. (Image: SCMP)

When we think of the case of an orbital railgun that shoots 60-kilogram rods. Using a speed of about Mach 7. That means each of those rods has kinetic energy, which corresponds to 41 tons of TNT. This information is from Gemini. That explosion power is far higher than any conventional bomb. And that is one of the reasons why orbital kinetic energy bombardment is an interesting option. Those rods can be shot from the cargo bay of some space shuttles using rocket boosters. Or the orbital railgun can shoot them into the targeted area. Chinese researchers develop a railgun. That can shoot 60-kilogram rods to the target at a speed of Mach 7,2. 

There is a possibility that there have been plans to transfer that system into the orbital trajectory. Kinetic bombardment is one  solution that can be used in these cases. Those nukes are not possible to use. The railgun can destroy cities by sending a salvo of those rods to it. Those rods can be dangerous for things. Like naval vehicles. The problem is how to aim those systems at the right point. Optical telescopes, highly precise radars, and AI can solve that problem. The system can use solar panels to load its capacitors for high-power magnets. 

The large space structures can make it possible to create more powerful weapon systems than some “rods from god” can be. But the thing is that those kinetic weapons can deliver more precise destruction than some nuclear weapons. Those systems can be used to destroy enemy troops on the battlefield. The system might not destroy the entire city by using one rod. The system can shoot a salvo of those rods to the area. And if each of those rods has the same energy as 41 tons of TNT, says Gemini AI, that turns the area into dust. 

Relativistic ammunition is one superweapon that we can create, maybe quite soon. Those ammunition are extremely fast kinetic energy ammunition. The speed can be 5-50% of the speed of light. Relativistic ammunition can destroy comets. Or asteroids, or the dwarf planets that are on a course to Earth. Those systems can also destroy cities and the entire planet. 

The relativistic ammunition (Relativistic Kinetic Vehicle, RKV)is one of the versions of the railgun. And kinetic energy ammunition. The system can use a very long particle accelerator. That is created by using self-assembly structures. In those systems. The particle accelerators are in satellites. Those satellites will dock themselves to the entirety. Then the system. That can get its energy from solar panels on each satellite. The length of those systems can be tens- or even hundreds of kilometers. Then that particle accelerator shoots the round with speed that can be about 5-30% of speed of light. That kind of system turns the ammunition so high-energy that it can destroy even the entire planet. 

https://asiatimes.com/2025/07/china-reloads-railgun-ambitions-as-japan-tests-and-us-powers-down/

https://militarywatchmagazine.com/article/project-thor-what-america-s-new-rods-from-god-space-based-superweapon-can-do

https://www.scmp.com/news/china/science/article/3318687/chinese-army-scientists-propose-super-x-railgun-much-more-powerful-navys

https://www.scmp.com/news/china/science/article/3262607/chinas-rail-gun-sends-smart-bomb-stratosphere-hypersonic-speed-then-something-goes-wrong

https://www.spacedaily.com/reports/US_Project_Thor_would_fire_tungsten_poles_at_targets_from_outer_space_999.html

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

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

The AI in the helmet can revolutionize aviation and spaceflight.

  The AI in the helmet can revolutionize aviation and spaceflight. 

"Illustration of AI Model ChatGPT Navigating a Simulated Spacecraft in a Competition." (Rude Baguette)

Think about AI systems.  Like Chat GPT, as a robot controller. That tool will bring an ultimate boost for the robot that the controller can command using spoken language. But what if that tool is integrated into the aircraft and spacecraft? That can integrate multiple systems under one roof. And when commanders say that there is something. That must be removed; the user must not do anything but give the command. 

The system selects the closest robot that has the strength to make that movement. Robot groups can operate like ant swarms under AI control. The system can include flying units that can search for things for land-moving robot ants. 

What if the space suits are equipped with an AI socket that the system can call an assistant robot if there is something wrong? The future spacecraft can have things. Like assistant robots to make their missions go as they should. 

"The XQ-58A Valkyrie demonstrator, a long-range, high subsonic unmanned air vehicle completed its inaugural flight March 5, 2019 at Yuma Proving Grounds, Arizona." (Wikipedia)

"A XQ-58 Valkyrie deploys an Altius-600 unmanned aircraft system"(Wikpedia)

The AI that can fix errors in maneuvers can be a tool that makes many things safer. The real thing is the AI-controlled operating system in the combat aircraft. The system can integrate with multiple sensors. 

Such as satellites, other aircraft, and ground vehicles. Those sensors can be optical, radar, or acoustic sensors. The thing is that the AI-controlled systems can give flexibility to mission planning. And that kind of system can also make maneuvers in cases where the pilot has no time to react to every threat. The next-generation fighters are rather flight groups than individual systems.  

There are cruise missiles and other kinds of systems flying with those fighters. The drone can be a full-size fighter that can make autonomous attacks against targets. Or that robot fighter can also act in a kamikaze role. The new cruise missiles can also have the ability to refuel themselves in the air. Those missiles can have countermissiles, and they can make feint and instinct maneuvers, and change their speed and flight profiles during operations. And those missiles might have the ability to return to base if they are not needed. 

They must have the ability to communicate with drones and drone swarms. Those, maybe hypersonic aircraft, can drop drones to target areas, and those drones' missions can be to search targets, disturb air defense, and take out the electric supply. Those drones can also destroy things like fuel supply, and the AI-based systems can also target and assassinate enemy commanders. Those systems can be extremely dangerous in the wrong hands. 

https://automatedresearch.org/weapon/area-i-anduril-altius-600m-and-700m/

https://www.flightglobal.com/military-uavs/taiwan-receives-first-anduril-altius-600m-loitering-munitions/164081.article

https://www.rudebaguette.com/en/2025/08/chatgpt-at-the-helm-of-a-spaceship-could-change-space-travel-forever-after-stunning-early-successes/

https://en.wikipedia.org/wiki/Kratos_XQ-58_Valkyrie

https://thatsthenatureoftime.blogspot.com/

AI and robots can develop and fix themselves.

Today, AI starts to develop itself. But what if we were to take that ability to the physical systems? An even more interesting aspect is a “cannibal robot” that can collect spare parts and improve itself by utilizing another robot’s components. That means that the new robot can search for spare parts and improve parts from robot wrecks. That kind of thing is fundamental because it allows a physical robot to fix itself. AI-controlled robots that can collect spare parts from garbage and fix themselves will be the new tool for other planet research. The robot that can fix itself can also operate in remote areas on Earth. 

The AI that controls robots can make a checklist of what causes damage to the robot’s body. Then the robot can search for parts that can replace that weakness. If a robot requires a stronger shell, it just searches for plates that it can connect to its body. In the same way, if a robot requires more power, it can search for more servo-engines that can use its manipulators. The ability to search and benefit from raw materials from the environment makes robots more survivable and flexible. The AI develops itself in the same way as a robot that collects spare parts from its environment. 

AI is a computer program. And the computer program is a virtual robot. When AI develops its own code, it actually searches code models from the digital environment. In that case, the AI makes a model or matrix about things that it needs. Then the system will ask if there is some AI that has those abilities. Then the AI asks the code that gives the desired ability to the AI. The AI can also ask another AI to generate the code that it requires. And then the AI connects that code into itself. The problem is how the AI can detect things that it needs. And the second thing is that the AI must create the right form for the query that it makes for other AIs. 

The AI can also search things like internet databases about the code that it needs. And then generate that code in its code generator. In that case, there are two AIs: the first one that connects the code to another AI’s source code. Then the system boots another AI. And after that, the other AI makes the changes for the first AI’s source code and boots the system. The code also requires testing, and in that case, there must be at least two different systems. Because if there is a malfunction in the code, the other part of the system can operate without errors. That system can also remove malicious code from another system. But if there are no errors, the system can scale code changes through the entire system. 

https://www.euronews.com/next/2025/07/24/cannibal-robot-scientists-develop-a-robot-that-can-grow-and-heal-by-eating-others

https://www.livescience.com/technology/robotics/watch-this-robot-cannibal-grow-bigger-and-stronger-by-consuming-smaller-robots

AI and artificial life.

 

AI can modify life itself, and artificial cells can also modify AI. When we think about the DNA as data storage, we must realize that the problems are how to create synthetic DNA that involves only the things that researchers want. The other thing is how to transport. That data is sent to the microchips so that the computer can read that data. The answer can be electric impulses that the computer can read. AI is the tool that can read DNA better than play chess. The DNA is a linear data storage. And that makes the AI able to read it using microscopes and spectrometers. 

The AI can search data that is stored in CRISPR datasets. And search for similarities in the DNA that is taken from people or animals that have certain abilities. The AI can make virtual cells and simulations. About what kinds of things certain base pairs at certain points in DNA make. The AI can also connect and search data across species borders. And that allows developers to connect chlorophyll genomes to skin cells. That forms the green man. 

The same nanoparticles that can transport medicines to certain receptors can transfer the mRNA molecule in the same way in targeted cells. 

The AI can connect that data with datasets about the advancement of the fetus. Nanotechnology, along with advanced tools, makes it possible for the AI-controlled system to cut DNA and connect the new bits of DNA into those holes. The other way is to create artificial mRNA whose mission is to control the cell organelles. The system must just create the mRNA molecule that controls the cell organelle, and then that cell can create anything that the mRNA encodes it to create. 

The pathogen that can basically transform species into new ones can be based on the mRNA viruses or packages. Those mRNA molecules order the cell to create copies of itself. And then finally transform the cell into another. The mRNA is the tool that can order the mitochondria to decay in the muscle cells and that increases those cells' power. The artificial cells can also create neurotransmitters and electric impulses that allow the system to transfer memories into the nervous system. And basically, all our skills are based on memories. That is one of the things that we should know when we create new artificial species: are they bacteria or more complicated species? 

Natural bacteria cannot communicate or transmit data to the nervous system. But artificial cells can do that. And when we think about the ability to live forever or fix large-scale injuries, we must create neurons and then transmit lost data to those neurons. The single neuron involves only 1-5 bits of data. Thoughts and memories are formed in connections and states of those neurons, which humans have over 86 million, but our brains can connect those neurons into virtual neurons. 

And the connections between neurons are as important as the number of physical neurons. When a neuron is lost in an accident, the data that is involved is lost. The artificial cell can transport memories back into those cells. But that requires that the lost data is stored somewhere. And the second thing is that the system must have the ability to create artificial DNA that involves data that is normally stored in the brain. 

Things like intelligent tattoos that involve small-sized nanotechnical microchips or neurological microchips that are implanted into people’s brains can make it possible to return those memories. If the neuroimplanted microchips can transport data from memory centers to hard disks, it makes it possible to return those memories using artificial cells. That thing can restore the abilities of the badly damaged people. The brain-implanted microchips can also make it possible to read people’s minds. And that thing can turn humans more than we are today. 

https://www.freethink.com/artificial-intelligence/virtual-cells

https://pmc.ncbi.nlm.nih.gov/articles/PMC8539479/

https://www.quantamagazine.org/rna-is-the-cells-emergency-alert-system-20250714/

https://www.quantamagazine.org/what-can-a-cell-remember-20250730/

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

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

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

Gravity from entropy in an interesting theory.

"Diagrammatic representation of the entropic quantum gravity action. The action for gravity is given by the quantum relative entropy between the metric of the manifold and the metric induced by the matter field and the geometry. Credit: Physical Review D (2025). DOI: 10.1103/PhysRevD.111.066001" (Phys.org, Gravity from entropy: A radical new approach to unifying quantum mechanics and general relativity)

If we think that gravitation occurs in cases where the spinning particles store energy in the. And transform that energy into kinetic energy, we can explain special features of gravity like this. All parts of atoms are spinning. And all particles have their own individual quantum gravity field. So if we try to look at the gravity fields around atoms, we would see multiple different-sized whirls. Gluons, W, and Z bosons, quarks, and electrons conduct energy into themselves. 

But also things like quantum fields and quantum field tunnels between quarks and around the atom's spin. That spinning movement binds energy to those particles and fields. And those particles and fields turn that energy into kinetic energy. 

So, energy, or quantum fields, can also bind energy and make energy travel to those fields. In the same way as in all objects, the spin or speed of a particle or field accelerates until it starts to deliver energy. That means things like black holes will send gravitational waves that are emitted from those objects. When their spin speed slows, they start to deliver energy. Even a black hole cannot create energy from nothing. It must conduct energy somewhere if it spins more slowly. And in that process, a black hole delivers energy. As well as all other objects in the universe. 

In the same way, if we think that quantum fields form superstrings, that explains some interesting things in gravity. Theoretical superstring is the rolled quantum field. So when a superstring moves, it harnesses energy from its environment. The superstring doesn’t form energy; it harnesses and stores it from fields around it. When a superstring slows, it releases a gravitational wave or some other energy wave. Just like all other gravitational centers. 

Gravitation from entropy, or entropic gravity, is a new and exciting model to explain quantum gravity. And attempt to fit quantum gravity into Einstein's general relativity and special relativity. That model tries to connect quantum gravitation to the larger-scale gravitation. Entropic gravitation holds the idea that gravitation is like electromagnetic radiation, or one of the quantum fields.

So, if gravitation is like radiation, there should be a so-called G-field that gravitational radiation forms. That G-field or free gravitational field is like any other radiation field, but gravitational radiation or gravitational wave movement forms that G-field. The G-field could form particles because wave-particle duality (WPD) is also possible between gravitational waves. 

"Representation of the gravitational field of Earth and Moon combined (not to scale). Vector field (blue) and its associated scalar potential field (red). Point P between earth and moon is the point of equilibrium." (Wikipedia, Gravitational field)

When we think about how difficult it is to fit quantum gravity with larger-scale gravitational objects, we must dare to ask one question. Did somebody forget fields when they made gravitational models? That means spinning, or moving quantum fields, can also act like a gravity center. The idea is that a fast-spinning field also binds energy fields from around it. And that makes those fields travel to that field. 

That means in theory the field can also act as a gravity center. The idea is that particles are also waves. Or they are condensed wave movements. In reactions like annihilation, antimatter-matter impacts turn antiparticle-particle pairs into the wave movement. That means matter is packed with energy. And when a particle hits its anti-particle pair, it releases energy that is stored in particles. 

The wave-particle duality means that particles can turn into energy or wave movement. And wave movement can turn into particles. If a G-field exists and some particle spins in it, that particle also rolls the G-field in it and turns that field into kinetic energy. That is one way to close this theorem. But the other way is to think that there are no absolute vacuums in the universe. There are always some kinds of fields and things like superstrings that are extremely thin energy fields. In the same way as superstrings and particles store energy, the spinning quantum field stores energy. 

Those things form the smallest structures in the universe. When a superstring or any other structure spins, that structure stores energy into it in the form of kinetic energy. When a spinning structure turns energy into kinetic form, it harnesses that energy from around it. That makes energy move to the structure. An energy field from outside the pulling area tries to fill that energy pothole. The energy movement to the object continues until the object’s energy level rises so high that energy can break the whirl around that object. 

But again, we can replace the word spinning by using word movement. The moving particle or object, like a moving field, stores energy. If we think that entropy is space where it is moving and oscillating, that thing can explain the form of gravity. Those particles store and deliver energy, and that can explain gravity. The question is always, what causes those quantum fields to move? Moving quantum fields take particles and radiation with them. And that makes the effect known as gravity. 

https://phys.org/news/2025-03-gravity-entropy-radical-approach-quantum.html

https://www.quantamagazine.org/is-gravity-just-entropy-rising-long-shot-idea-gets-another-look-20250613/

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

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

Quantum microchips and photonic interactions.

"Artistic representation of metasurface quantum graphs. Credit: Joshua Mornhinweg" (ScitechDaily, Harvard Just Collapsed a Quantum Computer Onto a Chip)

Harvard scientists built a quantum computer on a chip. And that drives advances to the room- or table-sized quantum computers and quantum networks. This kind of system can also make the quantum internet, at least in the short range, possible. But long-distance wireless quantum communication requires new tools like photonics. Some researchers say that the future is in photonic microchips. That means the light acts as a data transporter. Those systems will use less energy than electric microchips.  But that thing requires new systems like optical gates. Today, researchers can make photonic microchips, but those systems are large-scale, and their mirrors and light cutters require AI-based systems that can control those light-based components. 

The main problem is how to make effective photonic versions of the electric components. And especially the photonic gates and switches are hard to make. The reason for that is that leaders will heat the physical iris. And controlling that system is not as effective as it should be. Data travels differently in those microchips. Theoretically, the system can use two frequencies or colors. The green can be one, and red can be zero. The system inputs serial numbers to those photonic bits so that the system can sort them into the right order. But the control system is very complicated. 

"Light can scatter off light, revealing ghostly particles and clues to cracking the universe’s fundamental laws. Credit: SciTechDaily.com" (ScitechDaily, Light Versus Light: The Secret Physics Battle That Could Rewrite the Rules)

Photonic interactions can solve many problems in quantum networks. If we think of a system that shoots a thin light wave or light quantum through the photon, that system can make the new quantum internet possible. The system downloads data to the particle from the photon, and then that data travels to that wave. For working perfectly, that system requires very accurate ways to control photons and their interactions. The photonic systems that are in the photonic interactions, where light scatters light to make possible things like optical gates. The photonic gate means a system where another lightwave or photon cuts the route of the lightwave. The system can also adjust the energy level of the light wave or adjust the lightwave’s wavelength. 

The photonic system that scatters light allows the cone that protects microchips and sensitive components against outgoing radiation. That system makes lightwaves travel past the layer. It would deny electromagnetic waves from reaching the shell of the system. The photonic interaction or scattering effect can make it possible to create new types of stealth systems. The idea is that the light or photons form a needle that scatters lightwaves past the object. If that scattered light can aim electromagnetic radiation to reach and reflect from the surface or aims reflection out from the observer, that thing makes the object itself invisible. There can be standing waves at the crossing point of the scattered waves. So the observer would see the lights in those points. 

https://scitechdaily.com/harvard-just-collapsed-a-quantum-computer-onto-a-chip/

https://scitechdaily.com/light-versus-light-the-secret-physics-battle-that-could-rewrite-the-rules/

The new method, known as distillation, enhances the effectiveness and reduces the cost of running AI.

In chemistry, distillation means a technique that purifies a material. The same way chemists distillate liquids, AI researchers can distillate AI. Distillation in the human body means that when we move our hands, we don’t need to move our feet at the same time. Or when we order pizza, we don’t want the entire list. We want that certain pizza. In AI, that means that the AI can create a student model that it trains for customers' needs. 

The large language model (LLM) can create a small language model (SML) and customize it. That means the LLM removes all unnecessary things from the SML to make it compact and more secure. The SML is easier to test and it requires less powerful servers than the LLM. There are always mistakes and errors in the LLM algorithms. The problem is that the corrupted AI is not a good tool for detecting errors in its internal code. The human coder must recognize the suspected errors and then fix them. But the problem is that the code can be right, but its target is the wrong object. 

The idea is that the system cleans information in the system. That means that the AI has only responses and actions that it needs for complete missions. The system takes all unnecessary parts away. And that sometimes causes questions about the information that the AI will not need. Humans make decisions about information that the AI needs. And that is seen in things like Chinese AI. Those things don’t discuss things like Tiananmen Square. 

That is one version of distilled information. The system will not give answers that are against the state policy. AI is a tool that can make many things better than humans. But those things will happen in well-limited sectors. The AI can observe things like nuclear reactor functionality. The fact is that the nuclear reactor is not like a chess game. The AI must only keep values at a certain level. The thing in the AI is that it can generate code, but it can use only existing datasets. The difference between a nuclear reactor and a chess game is that the nuclear reactor will always follow certain rules. 

The nuclear reactor will not make anything unpredictable. If the AI knows all its values, the nuclear reactor is safe. But unpredictable values like leaks in the cooling system can destroy a reactor. The programmer who creates the nuclear reactor control systems. That creator must be very professional and collect all data so that the system can respond to all situations. The system must collect information from many sources, such as surveillance cameras and other tools. The system must recognize if some light doesn’t shine as it should. 

That kind of system requires very high-level skills and the ability to train the system for new things. There is always a possibility that the programmer, or the engineer who advises programmers, doesn't always remember everything, such as details of some kinds of damage. That means the AI requires training for that mission. And like always, this kind of thing means that all mistakes that AI makes are actually made by humans. Humans should test and accept that kind of system. And that causes dangerous situations. The training is the final touch in the AI R&D process. 

When we think about things like the North Korean government, they want to use AI in the same missions as Western actors. But do those actors have the skills and abilities to make the final training for their language models? If those language models are made by using some kind of pirated copies that are transported using USB sticks, it can make it possible that the AI and its complicated algorithms don’t work as they should. And that makes those systems dangerous. 

https://www.quantamagazine.org/how-distillation-makes-ai-models-smaller-and-cheaper-20250718/

Ion traps and photons are the tools for next-generation quantum systems.

"By twisting light just right, scientists can now unlock dual hidden images from a single metasurface, ushering in new possibilities for encryption and molecular detection. Credit: Shutterstock" (ScitechDaily, New Tech Uses Twisted Light to Reveal Hidden Images)

The ion traps and twisted light make it possible to create new types of quantum systems. What if researchers can create a particle and trap the twisted light ring around that thing? That could revolutionize quantum technology. If somebody can connect and stabilize twisted light around an ion or electron, that can turn the system into the most accurate scanner that has ever been seen before. The photonic system that can create a “photon smoke ring” and stabilize it around some particle, like an ion or electron, can revolutionize information technology. But that system faces many technical issues. 

But theoretically, artificial brains require ions that play the same role as neurotransmitters. And a photonic system that mimics the brain's electrical actions. Miniature particle accelerators act as axons, and they shoot ions through the axon hole. Information is stored in those ions. 

The ability to create ions, or electrons that twist light orbits, makes it possible to create a system that operates like a human brain. That ion-photon combination can act in the same role as a neurotransmitter in that system. And if the system can trap that combination at a certain moment, that makes it possible to use the photonic data transmission for the messages that require an extra-fast speed. These kinds of systems mimic human brains. The ability to connect photonics and ions makes it possible to use two quantum lines side-by-side in the system. 

One of the most exciting things could be creating the photon ball. Their data transportation photon travels inside this photonic ball. It could be possible to trap the ion-photonic ring inside the fullerene molecule. And that allows the system to transport qubits over a long distance. The long-range qubit will travel in the laser or maser beam. And that thing could make new ways to transport information. The problem is how to make a photonic ring stay around ions? 

The problem is that. Stabilizing twisted light is not a very easy thing. The hollow lasers can make photon rings where the waves or curves are one or zero. The other way is to adjust the hollow laser light’s brightness. The hollow lasers can also protect the data that travels inside them. In those cases, the data transportation laser beams travel inside a hollow laser beam that protects them against outsiders. 

https://scitechdaily.com/harvard-scientists-unveil-tiny-ring-laser-with-giant-potential/

https://scitechdaily.com/lighting-up-the-ion-trap-fiber-optics-built-into-a-chip-for-quantum-computing/

https://scitechdaily.com/new-tech-uses-twisted-light-to-reveal-hidden-images/

Bitchat allows internet-free end-to-end encrypted P2P communication applications.

"Illustration of Jack Dorsey's Bitchat app enabling offline messaging through a peer-to-peer mesh network, generated by artificial intelligence." (RudeBaquette, “Jack Dorsey’s Offline Messaging Bombshell”: Bitchat Launches Peer-to-Peer App With End-to-End Encryption and Zero Tracking for Total Privacy)

Bitchat is a new tool for chatting and communicating. That application offers end-to-end encryption. P2P communication.The new application for P2P messaging and maybe, quite soon, for other data sharing uses BlueTooth for communication. The BlueTooth has its limits for communication. The range for that communication tool is the main problem, and the system requires mesh technology. That means support stations for long-range communication. The other version is to use an extra power BlueTooth device or some kind of amplifier that can increase the range of the BlueTooth. The system can use a standard radio amplifier that raises the BlueTooth power. 

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

Standard BlueTooth devices have the following classes and ranges. 

Device Power Class Bluetooth Range

Class-1 100 meters

Class-2 10 meters

Class-3 1 meter

(https://www.rfwireless-world.com/terminology/bluetooth-range-and-coverage)

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

Or a series of mobile telephones with BlueTooth capacity. BlueTooth is a common system in wireless headphones, mice, and other kinds of wireless tools. BlueTooth allows to share an internet connection and share files between devices outside the Internet. That thing makes it possible that the data can be shared outside the network. That can cause some data security problems. The BlueTooth connection requires that the other participant of the session send the access key to the other participant. And there is a possibility to cheat a person into connecting the device to the wrong system. That means the system’s ID is easy to fake. Or there can be a router in a mesh station that sends all data to the network. 

And if the hacker sends the fake ID to another participant using the stolen ID, that means those people can connect their devices to the hacker's computer. The problem is that the ID that the device uses can be stolen or even created by hackers. But the end-to-end encryption protects privacy against internet-based eavesdropping. This kind of system can be interesting. They can replace internet-based data transportation. But there are also weaknesses. And one of them is this. 

Because there are no phone numbers, no internet, and no servers. That means those systems are hard to hack over the net. But there is a possibility of cheating the users into sending data to hackers’ devices. Or there can be a router in a mesh station that can double the data flow. And that can endanger data security. Because BlueTooth range is so short, the need to use mesh stations can endanger data security. 

https://www.rfwireless-world.com/terminology/bluetooth-range-and-coverage

https://www.rudebaguette.com/en/2025/07/jack-dorseys-offline-messaging-bombshell-bitchat-launches-peer-to-peer-app-with-end-to-end-encryption-and-zero-tracking-for-total-privacy/

Bitchat homepage: 

https://bitchat.free/

Black holes and gravitational radiation.

"Two colossal black holes slammed together, forming a 225-solar-mass behemoth so extreme it shouldn’t exist under current theories. Credit: SciTechDaily.com" (Cosmic Heavyweights Collide – LIGO Detects Largest, Fastest-Spinning Black Holes Yet)

Spinning black holes send gravitational waves. This means the black hole’s spin makes it bind energy into it. Or in other words, a black hole collects energy from around it and then turns it into kinetic energy. Theoretically, gravitational waves can form in particles that are just at the edge of the event horizon. 

The model is taken from the centripetal force. When some object starts to spin very fast, that movement pulls energy out from its core to the object’s shell. When spin turns fast enough, energy that travels from the object’s core into its shell breaks that object. In normal cases, atoms in those objects act like antennas. 

And they conduct energy out of the object. In the case of black holes, the gravitational field and interaction around it are so massive and powerful. That ultimate energy field around black holes is so powerful that the energy that comes from black holes will not pass through the material disk easily. The black hole’s interaction is very strong. It pulls material and wave movement from such a large area that the black hole cannot break the whirl around it. Gravitation forms when the gravitational center binds quantum fields into it. 

Sometimes a black hole is separated from its material disk. And that makes it possible that gravitational waves can escape from its event horizon. That happens when a black hole pulls an extraordinarily massive object inside it. When that material and energy boost ends, the black hole sends its extra energy into the space around it. That is one model of the black hole and its ultimate interaction. 

But then we can return to the hollow ball model. Or, rather, saying a spinning hollow ball model where the fast spinning ball pulls energy into it. That means the hollow ball’s shell turns energy around it into its structure. The ball also pulls fields from inside it into the ball’s shell. Or, actually, energy flow always travels to the lower energy side. That means that if the space outside the ball is at zero energy level. That spinning ball can create the energy of a false vacuum. And when that false vacuum falls, it can collect a lot of energy and material into the same point. 

When we think about models. Some so-called dark dwarfs collect dark matter around them, and then collisions between those dark matter particles or weakly interacting massive particles, WIMPs. The annihilation or collisions of those packed particles can cause a situation where dark energy rises so high that the dark dwarf can shine because of those dark matter interactions. When those impacts happen often enough, that thing causes a situation where dark energy interaction with material turns strong enough that it causes visible material to shine.

We must realize that there can be a similar interaction between dark matter and visible material that is much stronger around black holes. There is a possibility that the dark energy that can form in that interaction can push all other interactions, or at least electromagnetic interactions, away from the black hole. That can cause the footstep at the front of the particle.

Normally, when a particle faces electromagnetic radiation, that radiation or wave movement makes a shadow behind that particle. The electromagnetic radiation pushes particles into that shadow. 

That means the electromagnetic shadow that pulls particles out from the radiation center turns into a higher energy level than the area at the front of the particle. That thing makes the pulling effect so strong that the particle cannot escape from it. 

The particle sends a photon at the front of it. Or the photon that forms at the back of the particle turns so high energy that it forms the shadow or channel at the front of the particle. And that thing causes the particle to start to fall into the black hole. It’s possible that around normal gravity centers, only the field transports the particle. But when the particle comes closer to the black hole, there is something that causes the shadow to move in front of the particle. That shadow or quantum low pressure will raise the force of gravity. 

https://scitechdaily.com/cosmic-heavyweights-collide-ligo-detects-largest-fastest-spinning-black-holes-yet/

The new components can boost the AI.

"A new discovery in atomic-scale magnetism may hold the key to the future of high-speed, compact, and energy-efficient technology. (Artist’s concept). Credit: SciTechDaily.com (ScitechDaily, Researchers Solve Long-Standing Magnetic Problem With Atom-Thin Semiconductor)

When researchers make new applications like autonomous robots, those systems require new types of advanced microprocessors. Things like advanced algorithms require effective microchips. And effective microchips allow developers to develop new and more complicated programs and algorithms. When developers create new systems, they often encounter a new need that they need to solve. Even if developers use effective and compact programming languages, the code grows and becomes complicated. 

And complicated code requires new processors that can drive it without problems. The problem is that in small-sized systems, smaller processors. And smaller processors require new types of architecture. In larger systems, it is possible to put more small processors in the same space. And that gives new abilities for multitask systems. The number of processors determines how many operations the computer or data center can perform in the same time. And that is the key element in the large language models and self-developing AIs. 

"A schematic representation of magnets composed of CrPS4 included in a motherboard circuit for future electronic devices. Credit: Elton Santos" (ScitechDaily, Researchers Solve Long-Standing Magnetic Problem With Atom-Thin Semiconductor)

The main problem with AI is the need for power. Powerful microchips require lots of electricity. And that electricity brings temperature problems. The temperature problem means that the resistance in the system rises when the temperature rises. Sooner or later, that starts the accelerating process that destroys the system by cutting wires. The result is a cooling system that requires lots of energy. The AI can use nuclear reactors, solar panels, or geothermal energy. The system should produce its energy. Miniature nuclear reactors or geothermal energy are the most stable versions. 

There are attempts to remove the oscillation by putting those wires in the water tubes and raising the pressure in the system. Rising pressure decreases oscillation, which causes resistance. And theoretically, it is possible to create room-temperature superconductors using high-pressure systems. The main problem is what if the pressure system faces damage? Leaks in the high-pressure system are dangerous for people and systems in the same space. 

"Artist’s illustration of the new tunable ring laser. Credit: Joshua Mornhinweg" . "The ring design has potential applications in telecommunications, medicine, and other fields." (ScitechDaily, Harvard Scientists Unveil Tiny Ring Laser With Giant Potential) A ring laser can be used as a photonic box wrench. That can adjust photons' and atoms' energy levels. 

The other way to solve the temperature problems is simply. Create photonic processors where photons replace electricity as data transporters. Laser rays can transmit data between microchips, and in that model, the microchip itself is traditional. And the wires that connect microprocessors in one entirety are replaced by laser rays. The laser rays transmit data to the processor through the photovoltaic cells. Or certain wavelengths or colors in laser rays, like green and red, can mean zero and one. 

"Schematic of tailoring the resonant reflection via radiation directionality in misaligned metagratings. The novel bilayer metagratings selects only a single angle and a single wavelength under incidence with broadband spectrum and wide angles. This is achieved through a “directional eraser”, that precisely suppresses light’s spectral signature along a dispersion curve. Credit: Ze-Peng Zhuang, Xin Zhou et al." (ScitechDaily, One Tiny Structure Just Broke a Fundamental Rule of Optics)

Fully photonic processors require new ways to control light and optics. The new materials allow the closure of the route of light. And then open that route. When light travels through a material, it gives value one for a microchip. And when material blocks light, the value is zero. 

In quantum systems, each color can mean each quantum state. There is also the possibility of sending laser rays through the nanotube that is used for electric transmission. That laser ray acts like a thermal pump. The fully photonic system, where all data travels in photonic form, can also have the ability to use the ion flow as a cooler. The ion system can transport ions through components. But the problem is that those systems disturb the electricity in the microchip. 

The 2D materials allow the system to transport heat out of the system. That makes it possible to create smaller and more effective processors. Those systems, like tiny ring lasers, can transport data to those 2D structures. The 2D network can have the silicone base photovoltaic points where the laser systems transport information. 

The idea is that those photovoltaic cells transform photonic information into electrical impulses. And that can make the system more effective. There is a possibility to use laser light as a thermal pump. An extremely thin laser ray travels between those layers and transports thermal energy out from the processor. 

https://scitechdaily.com/harvard-scientists-unveil-tiny-ring-laser-with-giant-potential/

https://scitechdaily.com/one-tiny-structure-just-broke-a-fundamental-rule-of-optics/

https://scitechdaily.com/researchers-solve-long-standing-magnetic-problem-with-atom-thin-semiconductor/

The Gemini AI refuses to play chess against antique ATARI chess computers.

The Gemini AI refuses to play chess against the ATARI chess computer. And why does that system make that decision? There is a model in its algorithms that it uses to compare models and probabilities. And because two other AIs lost the match, that means it's more probable that Gemini loses the chess match than wins it. The other thing is that the AI is programmed to be polite and also serve commercial use, which means the AI translates that loss as bad for its own and its background company’s reputation. 

The reason why Gemini is considered polite is that the company wants users to like their product. This is the main problem with commercial AI development. The purpose of that thing is purely to make money for the companies. Not to serve the national interests or scientific work. This is why AI is sometimes misunderstood. They use things like mathematical statistics and other things to advance trust between it and users. And the other thing is that the AI must also support its users' willingness to select the AI service that benefits the company, behind the AI and LLM. 

The ATARI game consoles from the 1970s are not so easy to win, as we expect. If somebody played chess against those chess machines that used an interactive chessboard where the chess buttons had a digital ID. The player must also move the computer’s chess pieces. And the computer shows movements by using light pairs that point at the button. And then the system showed the point where the system wants to move the button when it notices something in those chessboards. The player must move the button as the chess computer wants. If the player didn’t follow the order, the system just repeated “that was not my move”. And refuses to continue the game. 

Or when we look at the discussion that the AI had about that match, the beginning was that the AI told how powerful it is, and how many moves it can calculate before, but then in real time, the AI refused. The AI could “think” that if it loses a chess game to some antique game console, that’s bad for business. 

The fact is that the ATARI is the RISC machine. Its only purpose is to play chess. There is a limited number of movements in chess. And that’s why chess is one thing that is used for AI development. The AI can make multiple models to make moves. But the AI must have knowledge of how to play chess. In the world of AI, that means the AI creates a new dataset for the action. And when AI expands its skills, that means it just makes or loads a new dataset for it. 

The AI will not think like we do. It creates datasets and combines data from different sources. Most of the hardware systems that run AI or language models are so-called neurocomputers. In a neural network, each computer can operate as part of the entirety or independently. The problem with every single neural network is that they need chess programs to play chess. In chess programs, every game or tactic that the system uses is a database or dataset. 

The next step is that the system must analyze each of the games stored in the chess program. And then that system must find the right game and find its counter game. Those games are tactics that the system must use. The problem is that the AI can find more games or datasets on the net if it has instructions for that thing. The AI doesn’t praise itself as we do. It simply tells things about the systems that run it, if it has the permission to give that answer. If that is not permitted, the AI can tell that it cannot answer. Or it can tell lies if there is a dataset that involves lies. The computer doesn’t even know if it is lying. The dataset involves all answers that the computer can give. 

https://www.freethink.com/artificial-intelligence/ai-datasets

https://futurism.com/google-ai-refuses-chess-atari

https://www.tomshardware.com/tech-industry/artificial-intelligence/google-gemini-crumbles-in-the-face-of-atari-chess-challenge-admits-it-would-struggle-immensely-against-1-19-mhz-machine-says-canceling-the-match-most-sensible-course-of-action

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.