AI is a good surveillance tool that turns George Orwell’s 1984 vision into a child's game.

"Illustration of AI-powered web browsers revolutionizing mobile navigation and impacting Global Engine Optimization, generated by artificial intelligence." (RudeBaguette, “They’ll Know Everything You Click”: AI-Powered Mobile Browsers Are Here and GEO Experts Warn “This Changes the Surveillance Game”

Every day, we see warnings about how some browsers collect data. But for some reason, we don’t care about those warnings. We blame companies like OpenAI, Meta, and Google for collecting data about us. But then we don’t do anything for that thing. We blame data centers for using too much energy. But then we force people to use those tools because they are effective, and the company behind the wall uses those tools. 

People like Elon Musk give warnings about AI. But then they just begin their own AI project the next day. People warn that AI takes the jobs, but the problem is that people who give warnings are put in many workplaces to operate under fixed-term employment contracts. And then they start to care about the jobs only when their own workplace is under threat. 

(RudeBaguette, “They’ll Know Everything You Click”: AI-Powered Mobile Browsers Are Here and GEO Experts Warn “This Changes the Surveillance Game”

The AI-based browser technology can collect data that people use from their mobile devices. AI-based data collection is the tool that raises corporations above the state. The multinational corporations can operate outside the law, and those corporations will never go to jail for those kinds of things. They can outsource non-ethical R&D work to states where there is no law that restricts data collection. 

AI is a powerful tool because it can collect and connect data from multiple sources. Things like smart watches that collect data from blood pressure can tell about stress reactions that we want to hide before we know that reaction. Technology like a brain-computer interface is based on voluntary things. Those needed microchips will be put into people’s brains only in special cases where a person is fully paralyzed. 

Those are the rules in Western countries. But most of the people in the world are not living in Western states. Those people live in states that don’t even try to follow the same principles that we used to follow. And there are lots of people like mafia bosses and warlords in Afghanistan who operate without caring about the law. 

Things like mind-reading E-tattoos can be a tool that breaks the limits between computer and human. But those tattoos can also cause problems with privacy. The E-tattoo can include two parts. The other tattoo is at the front of the user's head. And another is behind the head. Then the system that might look like a bandanna will be connected with those tattoos. And that can be observed in a person's thoughts. This kind of brain-computer interface (BCI) doesn’t need surgery, and that can bring every person's BCI into reality. But those systems can also open the most private things that we have, our brains, to hackers. 

(Rude Baguette, “It Knows Before You Do”: Mind-Reading e-Tattoo Tracks Stress in Real Time and Privacy Advocates Are Sounding the Alarm)

"Illustration of an innovative e-tattoo monitoring brain activity in high-stakes environments, generated by artificial intelligence." (Rude Baguette, “It Knows Before You Do”: Mind-Reading e-Tattoo Tracks Stress in Real Time and Privacy Advocates Are Sounding the Alarm)

But there are people who don’t care about those rules. This is why people who work with those systems should have a chance to tell authorities if somebody has asked for things like AI-based surveillance systems from them. There is a possibility that the people will train the AI agent to use surveillance tools. And then they will give access to that assistant to people who work for organized crime. If somebody asks for that kind of favor, those people should have a chance to tell them about those things. 

The next-generation social media that allows us to track everything is already here. Things like intelligent tattoos that are used to research stress are interesting tools. They can observe nervous systems and see unpredictable activity. The same way intelligent watches and other sensors see how our blood pressure reacts to the environment. Those systems know what happens in our bodies before us. And things like WiFi are excellent tools to transmit to the sports coach. Or to people who want to break our final privacy. Those body-connected sensors are important tools for sports, but they can also tell things like stress. 

If people face a stressful situation again, like a similar place where an accident happens, our body will react to that situation immediately. The sensor sees when our pulse rises, and things like blood pressure rise. The same way the AI can see, does a person's steps change? And that tells us that there is something going on in the mind of the person. When we think about brain-computer interfaces (BCI), those systems can scan people’s thoughts. 

There is always a possibility that those brain-implanted microchips are used for some kind of control tool. And those systems allow bad boys to control even thoughts. We know that there are certain regulations about those systems. But there are people who have money and power. The drug lords of the cocaine cartels and some ruthless dictators might be interested in technology that allows them to observe thoughts. Or they can make much more. Those systems can control our thoughts. 

The system that can control the frontal lobe is the tool that can turn humans into robots. The system can include two microchips: the chip that sends electric impulses to the frontal lobe. And another microchip is at the neck. We know that the data those systems need is restricted. But there can always be people who cooperate with unauthorized organizations like organized crime. 

https://www.rudebaguette.com/en/2025/07/theyll-know-everything-you-click-ai-powered-mobile-browsers-are-here-and-geo-experts-warn-this-changes-the-surveillance-game/

https://www.rudebaguette.com/en/2025/07/it-knows-before-you-do-mind-reading-e-tattoo-tracks-stress-in-real-time-and-privacy-advocates-are-sounding-the-alarm/

Training the AI is similar to training dogs.

"Illustration of OpenAI's ChatGPT undergoing rigorous testing and safeguards to ensure ethical AI use, generated by artificial intelligence." (RudeBaguette, “They’re Training It Like a Bomb-Sniffing Dog”: Inside OpenAI’s High-Stakes Effort to Prevent a ChatGPT Meltdown)

Open AI markets the new AI-tool called Chat GPT agent. That tool is possible to use as a customized AI assistant. When we think about AI and its training, we can compare that thing with training dogs. The trainer must be patient and finalizing the tool is the longest period in the process. It’s possible that the AI is ready in a very short time. But then trimming that tool takes a long time. In that process things like non-wanted reactions are removed. And the system will deny giving wrong or wrong type answers. The AI must have some kind of profile that its users need. Then the user groups are training AI to give responses to all normal situations. 

The AI must be carefully trained if it must give some kind of customer service. The AI must follow the customer’s orders but refuse to follow orders that the user must not have any permissions. Those things are spyware and other malicious software making. If the AI has no regulations to refuse orders to make or show things like computer virus code that means the AI can turn into a tool that the hackers can use to create malware like spying tools. 

AI is a powerful tool that can make many things for their users. The AI is a perfect tool to make spyware and other kinds of malware tools. And that makes AI dangerous. The AI can create code that can transform in a very short time. That kind of code is sometimes impossible to detect. AI can be a tool that creates that kind of thing. This is the reason why developers must be careful about things like what kind of things users must have the right to make and what they should not make. AI assistants like Chat GPT agents are tools that can turn wet daydreams for people like Kim Jong-Un. The AI assistants can make hackers work more effectively. 

Complicated computer viruses called logical bombs that destroy databases in a certain moment can make the worst of all nightmares true. The logical bomb that is connected to weapon launch can shutdown the warships or even the entire nation’s defense. Logical bomb is the malicious program that erases things like databases and other things like that. The database erasing can remove targets from nuclear weapons. Or it can launch a security protocol and the nuclear weapon control can think that the weapon launch is unauthorized. 

The logical bomb in the system is always dangerous. The thing is that AI is always dangerous, if humans want to make it dangerous. AI that can interact or command physical tools are dangerous if there is some kind of error in programming. Or if something changes programming at the wrong moment. The complex programming can include complex malware. When we use AI we must remember a golden rule in data security. The golden rule is this: the thing that the programmer or program’s maker doesn't tell can be more important than things that they tell. 

So, those people can always tell lies. And we must prepare ourselves for the possibility that somebody collects information without permission. People like Kim Jong-un have power. They can search for Western criminals among their allies. They can offer drugs and guns to people who cooperate with them. And those people who own their country can also offer safe places for Western gangsters. Western criminals can establish companies that train those AI assistants for Kim Jong-un. Those companies can operate under the name of Western people, who might smuggle drugs. North Korean chemical factories can create those drugs for Western markets. And they need effective guns and a deliverer for those chemicals. But people who work in those companies can be North Korean agents. 

https://www.rudebaguette.com/en/2025/07/theyre-training-it-like-a-bomb-sniffing-dog-inside-openais-high-stakes-effort-to-prevent-a-chatgpt-meltdown/

What does an electron do in its tunnel? (Quantum tunnels and electrons)

"Scientists have finally glimpsed what electrons do inside a quantum tunnel, revealing a surprising hidden interaction that rewrites our understanding of a fundamental physical process. (Artist’s concept). Credit: SciTechDaily.com" (ScitechDaily, Century-Old Quantum Mystery Solved: Scientists Finally See Inside the Electron’s “Tunnel”)

One of the most interesting things in the quantum tunnels is that light travels faster in those tunnels than around them. The reason for that is that quantum fields that fall into those quantum tunnels move. And the speed of light is relative to its environment. So if a photon travels in a fast-moving quantum field. 

That photon travels faster than it does in a slower traveling field. Quantum fields are the environment. The speed of light is relative to the speed of the environment. Two photons in the same field travel at the same speed. But if another photon travels in a slower field, that photon in faster fields seems faster to a photon that travels in a slower field. 

The quantum tunnel is like a tube. All particles can make a quantum tunnel. And all quantum tunnels are wormholes. The Einstein-Rosen bridge is only the ultimate version of those things. Things like electrons and other particles can also make quantum tunnels.

Finally, researchers see what an electron does in its tunnel. And that opens new visions into quantum technology. When an electron travels in the medium, every single medium is a potential wall. And the electron tunnels itself through those walls. When an electron travels through the potential wall, it releases or receives energy.

So when an electron travels in the potential field, it pushes fields away and makes a tunnel through the potential wall. The tunnel that electrons make in the electromagnetic field is quite similar to the tunnel. Things like black holes are created in gravitational and quantum fields. In quantum tunneling, particles travel through the whirl-shaped potential wall. That potential wall is like a quantum tornado. 

And the thing that makes this quantum tunnel interesting is that the quantum tunnel can inject energy into that particle. The quantum tunnel sends radiation into itself. The quantum tunnel that spins like a whirl turns a higher energy level than the environment inside it. If that quantum whirl pumps enough energy into that particle, it can turn the particle into a black hole. Whether that happens depends on this: can a particle release its energy? 

If a particle is in a long quantum tunnel, energy that falls into the tunnel can push the particle to move deeper and deeper in the tunnel. If that particle cannot push energy out from the tunnel or break the tunnel around it, that means the particle's mass rises. That continues until the particle's energy level rises so high that it can break the whirl around it. Or it can push those fields behind it back. The third version is that the quantum tornado’s energy level decreases so low that particles can break it. That means the particle's energy level turns higher than the quantum tornado around it. 

"Spatiotemporal trajectory of an electron tunneling through Coulomb barrier under strong laser field. Credit: POSTECH" (ScitechDaily, Century-Old Quantum Mystery Solved: Scientists Finally See Inside the Electron’s “Tunnel”)

One of the things in the electron tunneling is that the electron's position must be stable. If an electron wobbles, it cannot make the quantum channel that is tight enough to it can pull an electron into it. 

"Diagram of the Meissner effect. Magnetic field lines, represented as arrows, are excluded from a superconductor when it is below its critical temperature." (Wikipedia, Meissner effect)

The idea is that the fast-spinning electron can form an effect. That looks like the Meissner effect. The spinning particle pulls a quantum field like a roll or a whirl. And if the particle can form a whirl that is long enough, that whirl can pull the particle through it. Quantum tunneling through walls happens when a particle makes a whirl through the wall. The whirl can form a quantum channel through an atom's quantum fields. And then the particle can push those fields away from its path. The particle will not interact with those quantum fields. And that makes it possible to teleport positrons through that channel. That thing can have at least military applications.

In a quantum internet, information can travel in electrons. Or the quantum tunnel around it can also transmit data. So, the system can send information impulses connecting them to electrons. Or it can send those energy waves in the quantum tunnel's or quantum whirl's walls. The third way is to transmit information in the form of wave movement through the quantum tunnel. The quantum tunnel can also offer the possibility of making quantum entanglement through that tunnel. That tunnel protects information that travels in the superposition. 

The idea in quantum mechanics is this. All particles make basically similar interactions with their environment. But the scale of the interactions between particles and the environment is different. That means beta radiation is basically a similar phenomenon to the wind, but the thing that moves in beta radiation is the electron. And in the wind, the thing that moves is the air molecule. But then we can think about the electron and its interaction with the environment. 

The big question is what makes the electron move. In beta radiation, the atom’s nucleus starts to send gamma radiation. That radiation makes an electromagnetic shadow in front of the particles. And that shadow pulls electrons into it. 

The answer can be in the thing that is similar to the Meissner effect. When the electron spin is high enough, that thing makes the electromagnetic whirl around it. Or the structures on the electron's shell touch the quantum field and start to roll it around the electron. When that channel starts to grow long enough and the energy level on the other side is higher than the other, that makes electrons travel in the channel or tunnel. 

That makes it possible to create a quantum internet that is more effective and secure than anything before. The electron can transport information between two points. But the problem is this: if researchers don’t know all parts of its interactions, and an electron touches its tunnel, that destroys information immediately. 

https://scitechdaily.com/century-old-quantum-mystery-solved-scientists-finally-see-inside-the-electrons-tunnel/

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

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

Researchers created an artificial cell that can move using its own chemical reactions.

Self-replicating machines, or Von Neumann machines, are artificial cells. 

The artificial cell, or biological nanomachine, is an organic structure that can make a copy of itself using polymerase reactions. So, we can say that the polymerase molecules that can duplicate themselves are the artificial cells. The nanopolymer that can self-replicate is the simplest possible artificial cell. If that kind of polymer travels in the desired cells, it can simply fill those cells. That means those molecules act like ricin. The nanomachine can also destroy the cell so that the gangrene will not spread. 

Those organic polymers can also be used to close blood vessels. In ideal cases, those molecules can make copies of themselves using molecules that are in their environment. So the nanomachine can benefit similar proteins that form cells. That makes those polymers suitable for surgical operations. But those things can also have military applications. The artificial cell can produce those molecules. The cell can release them through its ion pump. 

"The terms "artificial cell" and "synthetic cell" are used in a variety of different fields and can have different meanings, as it is also reflected in the different sections of this article. Some stricter definitions are based on the assumption that the term "cell" directly relates to biological cells and that these structures therefore have to be alive (or part of a living organism) and, further, that the term "artificial" implies that these structures are artificially built from the bottom-up, i.e. from basic components. As such, in the area of synthetic biology, an artificial cell can be understood as a completely synthetically made cell that can capture energy, maintain ion gradients, contain macromolecules as well as store information and have the ability to replicate. This kind of artificial cell has not yet been made." (Wikipedia, Artificial cell) 

That is the nanotechnical version of the artificial cells. Technology advances, and AI can read DNA quite well. That means the DNA-controlled nanomachines, like cells that produce medicines, travel in the body, search for the right cells, and then inject those medicines into targeted cells, can be a reality quite soon. Those cells might have a self-destruction mode. When they do their mission, they will destroy themselves. Those cells might not have the ability to decay. But there is always the possibility that some retrovirus can destroy that self-destruction mechanism. 

The macro-size version of those things is the automated factory that uses robot swarms and robot groups to make a copy of itself. Those automated, AI-controlled systems can play a vital role in space exploration. 

The automated factory utilizes robots to source materials for new robots and other products that can be manufactured using advanced 3D printers. That system can create a fully functioning copy of itself. So that means the Von Neumann machines, or self-replicating machines, are some kind of macro cells. The nano-sized artificial cell is the nano-sized Von Neumann machine. 

But the artificial cell can also mean that DNA is cleaned of unnecessary sequences. That means those artificial cells can make only things that their creators want. The artificial cell can create many things, like artificial spider silk, which is one of the strongest materials in nature. The hollow fiber of nanosilk can be used to destroy targeted cells. Those nano-silk fibers can lock the targeted cells' ion pumps. Or they can be used to inject things like biologically produced medicines into the desired cells.  Artificial cells are like physical versions of distilled AI. Those cells can do only things that their creators want. 

The polymerase chain reactions make it possible to create lots of those systems. The self-replicating molecules can make new types of medicine possible. And they can also be used in self-assembly structures. But the artificial cells required outside energy sources, until now. The internal power source makes those cells more independent. That allows them to travel in the body and search for things like bacteria and cancer cells. 

https://interestingengineering.com/innovation/first-artificial-cell-chemical-navigation

https://phys.org/news/2025-05-artificial-cell-mimic-reproduction-polymeric.html

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

Copyrights are not only things that cause criticisms against the AI-made films.

"Illustration of Netflix's use of generative AI in producing scenes for its original series." (RudeBaguette, “This Isn’t Art, It’s Algorithmic Propaganda”: Netflix’s GenAI VFX in New Series Sparks Industry Backlash and Fan Revolt)

Netflix faced criticism when it changed the' featured scenes using AI. That thing fights against copyrights. Another aspect is that the AI can include an actor's character in movies that are against the actor’s values. But this is not the worst thing on this path. AI-generated movies are tools for propaganda. 

The AI can create characters that look like real people, and those characters can even yell nazi propaganda. The AI can create an artificial model of any person that it sees. So the AI can use images from surveillance cameras to make those images and then put them into a film. That kind of ability allows for the misuse of the AI. 

That kind of tool is dangerous if those films are introduced as real life or documents. Normally, we know that at least most of Western film actors and filmmakers have such high morale that they don’t make those kinds of contracts. But in countries like North Korea, the government plays by different rules. That means those people can make films and use them as propaganda. But in the AI-created films, there is one difference between those films and traditional films. The AI will not say “no”. And that means those tools make everything. That's what their operators want. So, that tool can create anything that its users wish. 

The AI doesn't require any crew, and the operator can do everything alone. The AI has no will. Humans determine the limits of those systems. And there is a possibility that somebody includes their neighbors or other competitors in the surveillance tapes where they steal things. Or the AI can include any person in things like child pornography. You might also think about what things like fake police surveillance tapes can do to humans. That kind of thing can destroy any person’s reputation. 

And there are many different motives for that thing. The political motive could be that the competitor's reputation, or the motive for those things, can be that the competitor in working life can be erased by destroying those people’s reputation. 

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/

The interaction with qubit and solid memory is a key element in a compact quantum computer.

"Quantum teleportation and data transfer via entangled quantum systems. (representational image)" (Interesting engineering, World’s first quantum teleportation sends telecom qubit into solid-state memory device)

The key element in quantum computing is how to make a qubit interact with a computer's mass memories. If that thing is solved, researchers are one step closer to the compact-size quantum computer. And researchers made this advance. They put a qubit to interact with the solid memory unit. And that thing can turn quantum computers more effective than they are today. The ability to make solid binary memory straight with qubit opens the road to new systems that are more effective than they are today. 

The main problem with quantum computing is how to turn the binary bits into qubits. Or load them into the particle that can transport that data over the quantum network. The quantum computer and quantum internet are tools that can turn computing safer and more effective. The quantum network can be based on two possible things. The system can shoot ions, electrons or some other particles through nanotubes or hollow laser rays.

"Quantum teleportation from telecom photons to erbium-ion ensembles. Credit: Group of Prof. Xiao-Song Ma at Nanjing University." (Phys.org, Quantum internet moves closer as researchers teleport light-based information)

Or those systems can make a series of quantum entanglements through the quantum network. Quantum entanglement is somehow misunderstood when a particle is in two positions at the same time. The term quantum entanglement means that information that is stored in those particles can be in two places at the same time. The information is like waves on the particles, and those waves turn identical in quantum entanglement. 

There is a possibility to make a series of quantum entanglements. That requires that the energy levels in receiving particles are lower than those of transmitter particles. Or the system must store the data in mass memories so that it can create new entanglement in the case that the energy levels between transmitting and receiving particles are too close. 

So if that thing is made between two elementary particles, that means the entanglement almost multiplies the sender particle. But the problem is in the Pauli Exclusion Principle. There are no two identical fermions in the same quantum system. That means the particles in the quantum entanglement are almost identical, but their energy levels are different. 

That means the receiving particle must be at a lower energy level than the transmitting particle. If those particles reach the same energy level, it kicks those particles away from each other. 

The quantum internet is one of the next-generation computing tools. That thing makes it possible to make a secure and effective data transportation system. If that quantum system will be in use someday. That makes the internet more secure and harder to break. When data travels in a physical object. It is hard to steal. If data is stolen, it means that qubit has lost that data. And that tells that thing about the eavesdropping. If data travels in many routes, one stolen qubit will not let an attacker see the entire message. And that makes the quantum internet more secure than the traditional internet. 

 https://interestingengineering.com/science/quantum-teleportation-telecom-memory-breakthrough

https://phys.org/news/2025-07-quantum-internet-closer-teleport-based.html

Combat and law-enforcement terminators, the real-life skinwalkers.

Above is an image of Robot Janus. Janus was a Roman god who guarded entrances. That god was also the god of beginning. And Janus was the god of the end. Janus was the god of changes, like the god of beginning years. The remarkable detail in Janus was two faces. When another face smiles, the other face grimaces. His two faces represent vigilance and the ability to see both forward and backward. They can also symbolize good and evil, or the transitions between war and peace.

Man-shaped combat and surveillance robots can already be true. 

In 1984, James Cameron introduced Terminator, the killer robot that was eliminating enemies of the Skynet computer. In that time, the Terminator was the Sci-Fi tool that could not be dangerous. But things like large language models, LLMs that control robots, can turn Terminators into reality. The Terminator is one of the examples of what militarized AI can do, if it controls robots. When we talk about risks of AI, we always forget that in the cases of militarized AI, the AI is meant to harm people. When AI-controlled robots operate on the battlefield, that system is made for harming people on purpose. 

And that causes risks. The human-shaped robots that work in warehouses are things that might look cute. The problem is that human-shaped robots can operate with every tool that humans can. That means the same robot that operates in warehouses can also operate on battlefields. Another thing that can be interesting about the human-shaped robots is law enforcement. The law enforcement might want to use AI-controlled robots for cover-up missions like intercepting criminal organizations. Those robots will not change their sides. 

The robot can look like a mannequin. That system can stand in the window and wait for something to happen. When the system sees risky things, the robot can activate its combat mode. The problem is that the robot doesn’t think. Those security androids follow their programs. And in the cases of the robots, it is possible that somebody, like hostile hackers, can rig the operating system. That means when that kind of robot sees things like a targeted person, that kind of robot can attack that person immediately. And that is the risk in robotics. In the wrong hands, those systems are not toys. 

Robots don’t rebel. People rebel. That means it’s possible that some hostile actor buys warehouse robots and puts them to make crimes, like acting as assassins. The human-shaped robot can act as a surgeon, gardener, or security guard. But the same system can act as an illegal actor. The robot can have so-called ghost- or shadow protocol. The shadow protocol, or shadow program, means that there are people who are targeted by robots. When a robot recognizes the targeted person, it can make an attack. And those things might look like accidents. The warehouse robot can make a simple mistake and drop some boxes on the targeted person. Or a robot car can push the gas pedal at the wrong moment. When a robot completes its mission, the ghost protocol can be erased. 

They can transmit all data that they collect to the police HQ, and that decreases risks of those operations. There is a possibility that people can have a cyborg twin who goes on dangerous missions instead of humans. That kind of system makes scenarios where the system operators can replace a person with a robot. The robot operator can be a real-life skin walker. The system can mimic anything from humans to dogs. And the robot dogs and other robots can be very dangerous tools in the hands of psychological warfare specialists. Those systems can involve things like infra- and ultrasound systems that can be used to transmit subliminal messages to the people. The robot animal can slip past the system that uses ultra- and infrasound at the same time to the enemy camp. That system can deny the enemy sleep. 

But robot animals can do many things that humans cannot do. They can observe animals in their natural environment without disturbing them. Robot animals can also search for things like illegal hunting, and they can be used as area surveillance tools. But the problem is that robot animals can handle things that real animals cannot. The thing is that those systems that might look like monkeys can cut the network wires and use weapons. 

The mysterious deep space fossil, a new member of our solar system, can rewrite the history of the solar system.

"A newly found icy object, Ammonite, may be a 4-billion-year-old fossil from the Solar System’s edge—and it’s casting doubt on the Planet Nine theory. (Artist’s concept.) Credit: SciTechDaily.com" (ScitechDaily, ‘Ammonite’: A Mysterious Deep Space Fossil That Could Rewrite Solar System History)

"A mysterious icy object discovered far beyond Pluto is rewriting what we thought we knew about the Solar System’s past." (ScitechDaily, ‘Ammonite’: A Mysterious Deep Space Fossil That Could Rewrite Solar System History)

“Nicknamed “Ammonite,” this ancient world has an orbit unlike any other, placing it in the ultra-rare class of “sednoids.” Its discovery, made by the Subaru Telescope and confirmed through years of orbital data, challenges theories about Planet Nine and hints at a possible planetary shakeup billions of years ago. With a stable orbit lasting over 4 billion years, Ammonite may be a cosmic fossil—a remnant of a chaotic era when invisible forces or even lost planets shaped the outskirts of our solar neighborhood.” (ScitechDaily, ‘Ammonite’: A Mysterious Deep Space Fossil That Could Rewrite Solar System History)

The mysterious object called “Ammonite” could make Planet 9 non-existent. The Ammonite dwarf planet is Sednoid. That means it's similar to Sedna. 

There is a possibility that this mysterious object would not exist if Planet 9 is real. And that makes the Planet 9 mystery more interesting than ever before. Planet 9 is the mysterious gravitational effect that causes anomalies in Neptune's trajectories. Planet 9 is also introduced as the reason for Neptune's largest moon, Triton, to be opposite the trajectory of other Neptune moons. 

The problem with all those theories is nobody has seen Planet 9 yet. Planet 9 remains a hypothesis. The mysterious gravitational effect remains, but that's all we see. Modern telescopes have found many objects from the Kuiper Belt. But none of them were large enough to cause anomalies in Neptune's trajectory. Sometimes Planet 9 is offered as an explanation for Uranus's X-ray flares and Triton icy geysers. 

There are many things that tell us that something strange happened in the past at the Kuiper Belt. The Ammonite and Eris are dwarf planets whose orbits are interesting. They are stretched, and they are not in line, and there is a possibility that some ancient planet that left the solar system can cause those strange trajectories. Maybe that strange object followed the parabolic trajectory and pulled those objects that you can see in that map to their trajectories. 

But that thing is only a hypothesis. There are models that Planet 9 was so far away from the solar system that some cosmic collision just pushed that planet away. The other model is that Planet 9 was some rogue planet, and the interesting question is this: could that object hang around somewhere between Proxima Centauri and the Sun? 

The Ammonite is a thing. That might explain many things about the past of the solar system. And there can be theories that the Ammonite is the moon, that the mysterious Planet 9 left behind it if it left the solar system a long time ago. 

But if Planet 9 is a primordial black hole, that changes the game forever. If  Planet 9 is a primordial black hole that lurks under the icy shell of some dwarf planet, that explains many things. Hypothetical primordial black holes mean that the thing that causes anomalies in Neptune's trajectory must not be big. So, could some of those already known dwarf planets be Planet 9? 

In some models, “Planet 9” is a small primordial black hole. That black hole could exist in the regular-looking asteroid or dwarf planet. In that model, the black hole can collect ice balls around it. Hollow ice shells can orbit that small black hole. 

The hypothetical primordial black hole is the planet-mass ultra-small black hole. The problem is nobody has seen that type of black hole yet. But if they exist, some known dwarf planets can be that hypothetical Planet 9. So, if that kind of black hole exists in the solar system, that means this thing could be the discovery for the next millennium. 

In some scenarios, "Planet 9" is an energy impulse that can form when antimatter hits the impact wave in the heliopause. That energy impulse can cause strong effects on Uranus's Neptune and the dwarf planet's trajectories. That is one of the things that might explain something about the mystery called Planet 9. 

https://www.cfht.hawaii.edu/en/news/AmmoniteJul2025/

https://gizmodo.com/astronomers-discover-potential-dwarf-planet-lurking-way-beyond-pluto-2000630151

https://www.livescience.com/uranus-x-ray-radiation-detected.html

https://www.sciencing.com/1914379/new-world-discovered-in-our-solar-system-ammonite/

https://scitechdaily.com/ammonite-a-mysterious-deep-space-fossil-that-could-rewrite-solar-system-history/

https://www.space.com/black-holes-solar-system

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

https://en.wikipedia.org/wiki/2023_KQ14

https://en.wikipedia.org/wiki/Sedna_(dwarf_planet)

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/

Is weak blood flow the thing behind dementia?

"This cover image depicts a human brain with colorful microplastic particles scattered across its surface, juxtaposed with a white plastic spoon as a visual representation. Research has revealed that the human brain contains approximately “a spoon’s worth” of microplastics and nanoplastics, with particularly high concentrations (3-5 times greater) in individuals with dementia. The multicolored particles shown on the brain surface represent the variety of plastic types detected, with polyethylene being predominant. The image illustrates the concerning 50% increase in microplastic concentration observed between 2016 and 2024, highlighting the rapid infiltration of these synthetic materials into our most protected organ. Credit: Genomic Press" (ScitechDaily, Scientists Discover Alarming Amount of Microplastics in Your Brain – And It Could Be Fueling Depression and Dementia)

"A groundbreaking set of four papers in the May issue of Brain Medicine brings together growing evidence that microplastics from ultra-processed foods may be building up in human brains and possibly playing a role in the global rise of depression, dementia, and other mental health disorders." (ScitechDaily, Scientists Discover Alarming Amount of Microplastics in Your Brain – And It Could Be Fueling Depression and Dementia)

There are lots of microplastics in dementia patients' brains. There must be something that causes microplastic accumulation in human brains. And there is a possibility. That is the same thing that causes dangerous protein accumulation in human brains. If microplastics go into the cell, that thing can cause a situation where those particles start to resonate. That resonance can cause pressure waves in cells. 

There is also the possibility that microplastics, along with some proteins, can go through axonal holes. If there are some other particles. And proteins that accumulate between axons. That denies the neurotransmitter’s ability to travel between axons and neurons. 

There is a possibility that the microplastic accumulation in dementia patients' brains is caused by: 

1) Anatomic disorders in the human brain’s blood vessels. Or something else that can cause slow blood flow in those blood vessels. If things like nutrients have no access to brains and neurons, that makes those cells weaker than usual. 

There is a possibility that the coronary artery disease-type things can cause dementia. But is that something in the blood vessels or the lymphatic system? 

2) There is also a possibility that the disorder can be in the lymphatic system. That means the lymphatic system cannot, for some reason, transport those microplastics and proteins out from the brain. 

And the primary question is, are those microplastics the reason for dementia? Or are they symptoms of the thing that causes Alzheimer's? Are the blood vessels of the dementia patient’s brain just rougher than a person's blood vessels that have no dementia? The slight inner shell of blood vessels will not collect proteins, lipids, and microplastics in blood vessels. There is a possibility that the blood flow is slower in those patients' brains. 

And that collects dirt into the veins. If the blood flow in human brains is very slow, there is a possibility that this thing collects dirt, like proteins, into those blood vessels. One possibility is that the reason for dementia is that the brain's blood vessels are so stiff that they cannot remove those particles from the brain.

 And that can cause an induction conclusion. Are the blood vessels in dementia patients’ brains similarly crammed as the coronary arteries have narrowed in coronary artery disease? There is a possibility that those crammed veins are in the lymphatic system. If the lymphatic system does not carry garbage away, it can collect proteins and microplastics in blood vessels. 

So is there some kind of dysfunction or anomaly in the dementia patient’s brain or brain's blood vessels? The thing that can collect microplastics in the brain can be the weak or slow blood flow. That thing can collect those microplastics in certain people's brains. And that can be the thing that makes those microplastics a symptom of dementia. 

When we think about the weak blood movement. As the thing that can cause dementia, that thing can cause a situation where bad proteins are accumulating in the brain, the same way as microplastics accumulate in the brain. If that thing is possible to prove, that is the fundamental thing in dementia research. 

https://www.eurekalert.org/news-releases/1074296?

https://www.emjreviews.com/neurology/news/microplastics-found-in-human-brains-an-alarming-link-to-dementia/

https://scitechdaily.com/scientists-discover-alarming-amount-of-microplastics-in-your-brain-and-it-could-be-fueling-depression-and-dementia

The new cyborg insects and spiders are coming.

"Illustration of mind-controlled bees equipped with the world's lightest brain controller, depicted as an artificial illustration."(RudeBaquette)

Microchip implants turn bees and other insects into spies. Those microchips allow the controllers to use a joystick to control things like bees. The cyborg insects can transport microchips to the bird’s and fish’s stomachs. And those things help to map their food and environmental threats. Things like flies can search bodies from the area. But the cyborg bees and insects can be used as reconnaissance and weapon tools. 

Robot insects can search people, and they can transport things like eavesdropping tools into rooms. And those things can transport very small eavesdropping microchips on the computers. Those systems can search and listen to data that travels in the computer’s wires. 

That is one of the things that the microchipped cyborg bugs can do. The thing is that those cyborg insect swarms can act as similar as drone swarms. Those microchips can share and receive data. And that allows those microchips to use cloud-based non-centralized data processing models. That kind of system can collect and process data. That makes those insects far away from the natural insects. 

But when we think about this technology more carefully those microchip-controlled insects can also act as biological robot weapons. They can transport microbes that destroy food or turn oil into powder. The last one could destroy the entire fuel storage. But cyborg bugs and spiders are things that can have multiple weapon solutions. 

What if some sniper or some other military operator gets the bee sting just at a critical moment? And the other thing that the weaponization of that technology allows authorities to do is to use the bee swarms as riot controllers. People like leaders in authoritarian states don’t care about the people’s safety and opinions. But there is a possibility that things like black widow spiders will be turned into biological weapons. The microchip-controlled spider can be a tool that makes some horror movies look like children’s games. 

The black widow is a very poisonous spider and that spider can cause death. And in the wrong hands implant technology can be more dangerous than we even dare to believe. Things like implanted snakes and other animals can be perfect assassination tools. And that is the thing that can interest people like Kim Jong-Un and his friends. The fact is that a new race of systems is born. Those systems are multitasking tools. And their developers and users determine where they want to use those systems. 

https://www.rudebaguette.com/en/2025/07/these-bees-are-now-spies-china-stuns-world-by-controlling-insects-with-ultra-light-brain-chips-igniting-fears-of-next-level-espionage/

Is AI a black box?

In the black box model, the only thing that means is the thing that the outside observer sees. That thing was the primary element in early 20th-century psychology. And the most modern observation tools are changing that thing. But in the early 20th century the brains were totally unknown. There was no change to research living brains. When EEG systems developed researchers could investigate the brain shell electricity. 

But things like PET and MEG scanners open new ways to see how brains work. But if we think of brain research as the box model, the early 20th-century models were black box models. The modern scanners brought the glass box or white box model to brain research. And the AI brought the grey box to neurology. That means the brain-computer interfaces, BCI, where researchers use brain electricity to control computers and soon read thoughts. 

When developers use the black box method to test programs they simply test that the program works. When we make the black box model for psychological learning methods, we can think about some 9-year-old child. That child can read almost everything and we can put that person to read even complicated scientific articles. The child can read those words but that person doesn’t understand what those things mean. The black box means that the actor can make many things, but the action is the only thing that the outside observer sees. That means that black box applications are not as safe as they could be. 

And most of the computer applications are black boxes for users. A regular user sees the interface and that’s enough.  In the white box or glass box application test, the tester tests the code. In the grey box, the test unit tests the functionality and code in the case of programming. The fact is that the AIs that we see are black-box applications. We see only the command line and the answer or thing that the AI makes. We don’t actually know even if the images and texts that we order the AI to make are made by some humans. 

In the case of the black box, the only thing that matters is that the system gives the right answer. The way the system makes that answer doesn’t matter. The only thing that the user sees means something. 

Is AI a black box? The idea of AI intelligence is something that is handled very little. We know that AI can solve many problems independently, but AI doesn’t know what it really makes. The AI can know many things, but it cannot have deep knowledge about those things. The model is taken from the black box psychology. In black box psychology, the key element is that the behavior that an outsider observer sees is something that we can accept. That means the AI just mimics human intelligence. The black box model means that the AI can give the right answers for some mathematical problems. 

But the same AI cannot make anything else. That is the idea of the black box. In the black box model, the thing that the AI gives the right answer is enough. The AI must do only things that the operator orders. So when the operator asks about the uranium enrichments and something like that the AI must give the answer. It must not make its own connections to things like weapon development. There can be things that deny the AI to give orders that can cause damage to operators or their environment. But those orders are in the AI’s code. The AI doesn't make those orders itself. 

The AI is sliding to the grey box application. For making autonomous learning the AI must have access to its source code. And the second thing is that the AI must have the ability to test the code. The AI can involve three parts. The system that creates the code. Another system that tests and accepts the code. And the last system that keeps the backup copy of the AI source code. A backup is needed for the errors. The system should have the ability to reject the code that is not functional. 

Quantum entanglements and human consciousness.

Researchers noticed that human brains emit light. That very weak light that very sensitive sensors see is the thing that causes interesting ideas and thoughts. The fact is that we know that there is nothing meaningless in human brains. And that strange light must have some connection to brain activity. The question is can part of our thoughts be based on quantum entanglement between some electric or photonic field in human brains? 

The human brains have the capacity to feel magnetic fields because axons transport electric signals. The question is what parts in our brain make that entanglement? Do neurons trap ions like protons into the ion pumps and then make quantum entanglement with them? There is suspicion that the myelin cylinders are the key element in the brain's quantum entanglement. 

If that structure is the thing, that is behind the human brain's superiority it would be the ultimate boost for quantum computing. Researchers can copy that structure into the quantum processors. And make room-temperature quantum computers possible. 

The quantum entanglement can be made between axons or electric fields around axons. We know that human brains will not make anything that it doesn’t need. And the thing is that the very weak light in brains can have its purpose in the thinking process. There is also another interesting thing that researchers noticed. The human brain cells are growing in old age. The memory cells make new neurons all the time. The reason why our cognitive abilities decrease when we turn older is that our brains lose more neurons than they can replace. 

"Liu et al., Physical Review E, 2024

"A closer look at myelin cylinders and its location along the neuron’s axon." (Popular mechanics, Quantum Entanglement in Your Brain Is What Generates Consciousness, Radical Study Suggests)

The finding of the thing. That makes superposition in human brains. Can uncover and supercharge the quantum computer's advance. 

Or neurons start to remove connections faster than before. The destructive thing is that the number of axon connections will decrease so fast that brains cannot adapt to that situation. Our brains simply don't have time to transport memories to the next neuron generation. So do we use our brains less in middle age than in young ages? Do our brains cut so many useless axon connections that they cannot save memories? 

But the problem with alcoholism and some other brain damage caused is that those things destroy brain cells faster than the new brain cells can form. When the memory cell creates a new brain cell, that cell is meaningless without its memories. Brain damage sometimes means that the brain memory neurons have no time to send the memories to those cells. That makes them "empty". 

If those neurons exist they cannot perform the same duties as their precursors can. The cell loses its instructions on how it must make those things. Without those memory units, the neuron cannot do anything. The ability to create new neurons in the old ages makes it theoretically possible to input data, or “train” those new cells and then inject them into human brains. 

The big question is does AI make us less intelligent than our precursors were? The thing is that if a person uses lots of AI the person uses less brain capacity than a person who uses less AI if we think about the neurological aspect, if brains do not use some neural tracks that means that neurons remove those tracks. So if a person writes all texts and draws all things using the AI that can decrease the use of axons and that can decrease the IQ if that happens over a long period. When a person doesn’t use neural tracks that means brains will remove those tracks. 

When people use artificial intelligence for essays they must not think. They must not collect information and the main thing is that they must not process that data. The AI will give them a correct set. And that doesn't give them a chance to process and taste information. In the worst case, the student simply copy-paste the test task to AI. And that makes the essay for them. That doesn't require very much thinking. And in that version, the student cannot advance very much. 

So that means that it’s necessary that people use their brains for thinking. Without thinking, brains disconnect their connections. People say that we should read books and advance our way of thinking. But the problem is this: we have no time to read. 

https://www.euronews.com/next/2025/06/21/using-ai-bots-like-chatgptcould-be-causing-cognitive-decline-new-study-shows

https://www.laptopmag.com/ai/chatgpt-study-by-mit

https://www.popularmechanics.com/science/a65368553/quantum-entanglement-in-brain-consciousness/

 https://www.sciencealert.com/your-brain-emits-a-secret-light-that-scientists-are-trying-to-read

B https://scitechdaily.com/brain-cells-keep-growing-even-in-old-age-study-finds/

The new genetic engineering beats Sci-Fi tales.

The new systems are making genetic engineering more powerful than ever before. The biological artificial intelligence called PROTEUS can usher in a new era for medicine and gene therapy. When we think about things like cancer and blocked blood vessels there is the possibility to send new small robots to destroy those tissues and open blockades. 

The problem is that those robots are hard to control in the human body. AI-controlled biorobots can solve that problem and maybe in the future, genetically engineered bacteria can destroy wanted cells. Or maybe those cells can make much more than just remove cancer cells from blood. The artificial amoebas can also be used to transport tissues in the damaged areas of the human body. The artificial amoeba searches the point where the damaged tissue is. 

Then the amoeba closes the blood vessel and then the mRNA or DNA reprograms that amoeba into the tissue that fixes the damage. Researchers have noticed that the brain's memory centers are constantly generating new neurons. That thing makes it possible to create systems that can used to recover memories in the case of brain damage. The genetically engineered amoeba can travel to damaged neural areas and then transform into neurons. And the problem is how to transfer the memories or skills that destroyed neurons involved into the new neurons. 

When a memory cell creates a new neuron and transfers its memory to that cell it's possible to steal those cells. And then put them into the freezer. The artificial parasite can go to the brain and steal those cells. Then the genetically engineered mosquito can call those parasite-robots to it and then transfer biorobots to the laboratory. The AI can read those memory blocks. And maybe, sooner than we expected, that thing allows researchers to read people’s memories without brain implants. 

The ability to create 3D printings in the cells creates new ways to reprogram cells. The 3D printer simply makes the mRNA molecule in the cell. And that tool can adjust the cell's purpose anytime when researchers want. 

Genetically engineered cells can also be used to transport data from the chemical memory DNA or mRNA to the computers. The idea is that the cell can send electric impulses or blink the bioluminescence light to the data transport. Genetic engineering makes it possible to make almost everything. The genetically engineered mice that had the human genome started to be discussed. And that is one version of the new visions for genetically engineered animals. In visions, intelligent pets are animals whose mission is to assist their masters. Those intelligent pets are things that are opening new visions for bio-engineered creatures. 

What would you do with talking mice? If the AI can communicate with those creatures like talking mice, those creatures can tell us what animals talk. And the ability to talk with animals would open new roads to biology, ecosystem understanding, and many other sciences. 

And all those visions are not things that feel good. 

We know that people like Kim Jong-Un want things like super soldiers. And new technology brings vision about the super skills that a person can have only when those skills and abilities are needed. That means that person gets the super muscles only when that person is frightening. 

When we think about the possibility of changing genomes in the human body we face the ultimate dream of human history. That dream is about the superhuman. The superhuman is a creature that is stronger and more intelligent than a regular human. And the product of that dream is the super soldier.  Genetic engineering makes biological creatures like humans the product. The new tools like self-amplifying RNA, saRNA make it possible to customize human skills for every situation. 

The ability to adjust the human intelligence level and transfer things like wolf’s behavior genomes to a person's body makes it possible to create soldiers who are obedient. That thing makes those people perfect soldiers. Otherwise, that genome makes those people dangerous in the wrong hands.  But what if the system can remove that ability when a person is out of service? The idea is that the person, or creature has some ability only when that creature requires that ability. '

https://www.earth.com/news/life-copying-itself-scientists-create-a-self-replicating-rna-system/

https://medicalxpress.com/news/2025-07-scientists-biological-artificial-intelligence.html

https://www.sciencealert.com/brains-memory-center-never-stops-making-neurons-study-confirms

https://www.sciencenews.org/article/3d-print-elephant-inside-cell

What separates us from AI?

Today we use lots of time to think, why does AI decrease our IQ? The answer is this: this modern time where we live benefits superficial people. Our working life encourages us to have maximum velocity. There is nothing wrong with the velocity-based working life. But the problem is that the measurement tools for velocity are things like how many executions we make during our working day. The measurement tool can be how many screws we tight. Or how much money we bring to our employer. 

Deep thinking is not encouraged in our working life. When somebody sits in a coding company, that person should use the AI assistant. Can you even seriously imagine that you would go to the library and borrow a book about the problems? And would you have time to stop deeply thinking about things that something really means? How often in the week, do we discuss philosophically and think deeply about things that we really see? We can do many things without deep thinking and logic. 

And when we think about things like some 1970s chess simulators, we must ask ourselves are those things really thinking? Do some ATARI, or Commodore 64 really think? It can drive a car on screen, but does it think? The system can move chess buttons and win chess games or some formula games against humans. But is that a mark of advanced thinking? Or does the horse, who sees three fingers and knocks the floor three times using its hoof, be some doctor of philosophy? Is a chess simulator with 64 kb memory more intelligent than some university professor? Maybe that thing is not as versatile as a professor. 

The IQ is something only if we compare it with something else. If we play chess alone or make something else, we don't need to be intelligent. If we are surrounded by people who have an extremely high IQ, in that case even a high IQ doesn't mean impressive. Same way. If our only opponent in a chess game is Garry Kasparov. That makes all of us seem like very bad chess players. Then we can think how ordinary chess player Kasparov is. Did an ordinary player play 2533 matches at the world champion level and win 1371 of those games? That means 54,13% winning games. But that happened at the highest possible level of the chess game. So does an ordinary player ever reach that level? 

But if the professor wins the AI in chess that is not news. The news is that the professor, some AI chatbot, or quantum computer loses a chess game against that machine. Nobody cares how many things the professor made before that chess game. Nobody even cares if the professor plays that person’s first chess game. And nobody even asked if the AI played chess before, or did the AI even knew how to move buttons. In the same way, a professor might not necessarily play chess at all. The fact is that all geniuses don’t even play chess. And if AI learns like humans, there must be something there that gets things like button movements. The computer can play chess but it might not do anything else. 

Normally we say that AI simply mimics things and then it doesn’t have a deep knowledge of things that it makes. When I read about that kind of thing, I sometimes remember one question from philosophy exams. That question is: “What separates philosophical thinking from the every day, or regular thinking?”. The answer is that philosophical thinking is deeper and more analytic than regular thinking. And that brings new questions into my mind. That is when we last exercise philosophical, deep thinking?”. When we do something, like turn screws in workplaces, do we really think about the purpose of that action? 

How deep out thinking? And how deeply do we think about things that we do in everyday life? The thing that’s enough is that we do what we must and that’s it. We have no time to think deeply about what some screw or other things can do. We simply do our job and that’s it. The thing is that humans learn through mimicking. We know many things. We know how to drive cars and use computers. We know how to fly airplanes and still, we don’t know anything about those things. We can drive cars. But we don’t need to know what happens in the car when we pull the gas pedal. We know that cars accelerate, but we must not know how cars make that thing. 

We could put the car to react with the gas pedal two ways. We can make physical contact between the gas pedal and the engine. Or we can use a camera that registers the gas pedal’s position. Then the AI accelerates or brakes the vehicle. For that system, the AI doesn't need any deep knowledge of things that it does. The system must simply accelerate the electric engines if we use electric cars. And the fact is that the AI must not even know what an electric engine is. When a car accelerates the system can involve code there is the word “engine”. Then some control circuits have a code that makes it react to the signal that is meant for the engine. 

Same way, if we hear the word that is our name, we automatically react to that thing. Our name is the thing that activates our attention. Sometimes we think about our names. But we forget that we learn that thing. Why cannot our name be C3PO? Because our parents didn’t give that name to us. Our names are “Jacks” and “Jills” because our parents gave those names to us. But have we ever wondered why some names are reserved for girls and others for boys?  And then we learn that those words are our names. 

But if our parents would give the name C3PO to us. We would react to that as our name. But do we ever imagine, why cannot our name be C3PO? Because we never thought that before. Then we can go back to begin, and ask how to describe thinking. Does thinking mean that we think how many times we hit some nails? Or does thinking mean how many chess games we learn? 

The thing is this: if we drive about 10000 kilometers without accidents or we win millions of chess games in our life that is not news. The news is that if some robot car drives off the road. Or if some supercomputer loses a chess game to some ATARI chess machine. Those things can be translated into that maybe the ATARI chess machine is more intelligent than humans and supercomputers. 

Training determines the abilities of the AI.

The new remote-controlled robot uses technology that allows it to teleport all human movements to that robot's body. That thing turns so-called external, or exobodies true. That nobody can operate in every mission where humans can. This kind of body can operate as an AI-training tool. The operator controls that robot in different situations. Then that system can share its data with other full-automatic robots that operate independently. In the robot world the word “independent” doesn’t mean necessary the same as in the human world. An independently operating robot is a robot that can do its duties without human assistance. That kind of system can operate under the control of data centers. 

So, those systems use the internet for the remote control of the robot body, and that computing capacity is not high enough to run complicated algorithms that do things like walking in the city and visiting shops to buy things. The fact is that the training of the AI determines its abilities. The human-shaped robot is like a screwdriver. The AI that controls that system is the thing that makes it capable of operating in many situations. The first real robocops are coming to the streets in Indonesia. 

Many armies and civil defense and rescue organizations test robot dogs that can search things like mines. Those systems can carry lasers or even missiles in the back. So that makes them able to destroy tanks and other vehicles. Those robot dogs can have quadcopter propellers in their legs. The system can turn the twin wing rotors in the same line. And then pull them in. In use, those systems can push propellers out. Turn the legs to the side. And then turn those propellers into an X-position. 

Researchers trained the Chat GPT for space pilots. That system did its mission very well, and that means the new drones can get AI-based autopilots. And in the wrong hands, those systems are terrifying. That means basically anybody can train their own AI-based aircraft pilot that can operate drones or, why not, full-scale aircraft. There are risks in those applications. The same autopilot program that controls the drone can control full-size aircraft. 

Some researchers are worried that AI chatbots can start to create biological weapons. Those systems can make almost everything. AI-controlled laboratories are things that can revolutionize material and molecule research. That means that those laboratories can also connect the DNA molecules together. Those systems can also make artificial organisms using AI-controlled nanotechnology. 

The self-replicating or self-amplifying mRNA molecules are created for self-replicating vaccines. Those self-amplifying (m)RNA (sa(M)RNA) can also unlock new tools for controlling nanorobots if a small miniature robot can carry saRNA molecules to the right cells. And that thing can make it possible to create the system that orders those cells to die. That mRNA molecule can order the cell to shut down its protein synthesis. Those self-amplifying molecules can also act like chemical computer programs. And that makes new tools to control nano- and biorobots. 

The ability to produce and self-replicate mRNA molecules in a dish, outside the cells. That opens new paths to genetic engineering. And another thing is that this kind of ability makes it possible to create new mRNA and DNA-based computers and data storages. 

There is a possibility to create the artificial mRNA molecule that self-replicates in the dish. That thing makes it possible to create the mRNA that reprograms the cell. There are two ways to make a large number of artificial cells. The first way is to create artificial DNA or mRNA molecules. The researchers can change the DNA from inside the cell’s nucleus. The other way is to use the mRNA molecule to reprogram the cell organelle and force it to create artificial mRNA viruses. 

The new method is to create artificial mRNA or DNA molecules. Then that molecule can self-replicate. Then researchers can take cells in control and inject those mRNA molecules into cell organelles. Or they can exchange DNA from the cell nucleus. That makes it possible to create artificial cells. The difference is how to produce that genetic material. In the last case, the genetic material is produced separately from the cells. And that makes this genetic material easier to control. That material opens new doors for DNA and mRNA-based computing and controlling miniature robots. 

https://www.birmingham.ac.uk/news/2023/ai-could-be-used-to-develop-bioweapons-if-not-regulated-urgently-says-new-report

https://futurism.com/scientists-chatgpt-controls-spaceship

https://www.rudebaguette.com/en/2025/06/real-life-avatar-tech-arrives-new-capsule-teleports-full-body-human-motion-directly-into-remote-controlled-robots/

https://www.rudebaguette.com/en/2025/07/theyve-gone-full-robocop-indonesia-unleashes-humanoid-police-robots-to-hunt-criminals-and-crush-the-drug-trade/

https://www.science.org/content/blog-post/first-self-amplifying-mrna-vaccine

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

https://en.wikipedia.org/wiki/Self-amplifying_RNA