Russian intelligence uses captured web cameras as a spy tool.

“Russian intelligence services are actively compromising internet-connected security cameras across Europe to gather military intelligence, according to a new advisory from the Dutch General Intelligence and Security Service (AIVD) and Military Intelligence and Security Service (MIVD). (Bitdefender, Russian hackers are hijacking internet-connected cameras to spy on NATO and Ukraine)

Russian intelligence uses internet cameras for spying on NATO and Ukraine. How effective is this kind of spying? The answer is that it depends on what those cameras see and the purpose of those operations. Those cameras can be used to locate people and their vehicles. Or the door camera. It can help agents create timetables for targeted people. Door cameras can also be used to warn agents who operate in some houses. The agent who puts surveillance equipment in a place. Benefits from those systems. Those systems. They can tell those operators when the apartment’s owner comes home. 

U.S. and Israel used hacked traffic control cameras to locate Iranian leaders for air attack. 

The door codes can tell if someone walks into the house. The personal door codes. They can help to map the person’s route in the house. And if spies are making a burglary in some apartment. The use of personal entry codes. It can warn those spies. Or it can act as a stand-by order for real bad boys. Hit agents need information about routes. That people use in those houses. They can use that information for kidnapping. Agents can use medical components to get information. 

That they want. That information. It can be access codes to critical systems. Or access to a critical environment. 

In the same way. An anti-VIP team. Can use those door cameras. And traffic control cameras to target people for elimination. And here we must realize that the AI-boosted systems. They can easily collect data about people and their routes. The system uses images from hacked cameras. And the image recognition tools can see where targeted persons are. 

This kind of information. It can be useful for those attackers. But sometimes surveillance cameras can collect information from other vital objects. The security camera that sees the screen can deliver that information as effectively as some malware that infects the computer. The security systems of the house. They can also involve critical information about people’s IDs. This information allows espionage operators to gain access into the building. 

The AI-based image processing tools. They can uncover even state secrets. If. Hackers can intrude on an airfield's security cameras. Those people can collect information from the aircraft and other important material. In harbours, the situation is similar. Hacked surveillance cameras. They can collect data from ships and other important things. Things that the surveillance camera sees. They determine the effect of that type of spying. 

https://www.bitdefender.com/en-us/blog/hotforsecurity/russian-hackers-hijacking-cameras-spy-nato-and-ukraine

Most of the internet traffic. It is. Not made by humans.

Most of the data that travels on the net involves information that has nothing to do with humans. That data is invisible to us. It involves things. Like system updates, system information. TCP/IP checklists. Resending TCP/IP information when checksums don’t match. The checksum tells. That all data reached its goal. If. The checksum doesn’t match. The system resends information. 

The dead Internet conspiracy theory. There, most of the net is AI-generated bots. The AI-created texts, videos, and applications seem human-made. We create more content than ever before. But we must accept that most of the data that we deliver is images or movies. Today, AI can generate almost everything by following instructions. That people give them. AI  can create. A 100-page novel. In a very short time. So if we give ten words as an order to create a novel. The length. Of that novel is about 100 pages. 

Who makes the work? Is it me or AI? At this time, we must say that most of the work is made by AI. And that is one of the problems. If. We say that we create more and more content. The maker of shared content is more often AI. But is the net dead or alive? We could calculate the data that human users create by writing themselves. Or how much data human users use or share? When they share real photographs. And then we can compare that data mass with the data. 

That AI-generated texts and images involve. This means that the internet is dead. If most of its content is made using AI. But then we must realize that AI can surround data. AI can use images and texts. That it made. And then generate new images and texts by using other AI-generated content as a model. The problem with that advance is this. The AI follows page rank. To make images and content that pleases users. This means that this thing accumulates AI-created content. 

And then we must draw some conclusions about the dead internet. Is it just theory? Or something that we misunderstood? Most of. The internet traffic. Is other than communication between people. That content involves the machine BizTalk. That BizTalk is invisible to humans. This means that most of the data that moves on the net. It is something other than social media. Media, or something else. Than humans produce. 

Sometimes dead internet means homepages. And emails and other content. That the owners are forgotten. Especially in the early years of the net. People opened many emails and created homepages. That are still there. But those people have forgotten passwords. Or those passwords and usernames are hosted. By. Companies that no longer exist. People can open emails and forget passwords. People can open workspaces and homepages. And then. They forget those addresses. Sometimes people. Just change their phone numbers. And then they have no access to data that still exists. 

Dead code is one of the things. that uses lots of space. That dead code. Means code that is in the computer program. But that code is neutralized. It forms an empty line in that code list. This neutralized code fills hard disks. We cannot ever see those code lines. Sometimes. They are neutralized because the programmers are in a hurry. This means. They must turn the code into an “instruction line”. These kinds of things affect the checksums that TCP/IP sends. When. It must confirm that the data traveled. Between. The receiver and the sender. It is not changed. 

The information storage. In the network is impressive. But it's not endless. This means that the data storage can be filled. The data storage expands. But at the same time, people create more content. AI-created. Content is more complicated and requires more memory than regular texts. 

A new semiconductor is a big step for photonic computing.

“When two pulses of different colored lasers light  (the two waves at the top of the image)meet in a new device created at the University of Michigan, researchers create a beam of electrons (small golden particles) that flows in a controllable direction. By changing the laser colors, the electron beam can sweep through different directions. Like the beam of a lighthouse. Credit: Yiming Gong." (ScitechDaily, New Semiconductor Device Turns Light Into a Directed Current)

"The light-controlled electron current could open new paths for sensing, telecommunications, and other advanced technologies.” (ScitechDaily, New Semiconductor Device Turns Light Into a Directed Current)

“A pair of laser beams can now send electrons through a semiconductor in a chosen direction without any external electrical power. Researchers at the University of Michigan built the device to explore a previously unobserved physical effect and demonstrate that light alone can both generate and steer an electronic current. ” (ScitechDaily, New Semiconductor Device Turns Light Into a Directed Current)

The biggest problem with photonic computers is the nano-sized optics. That optics is needed to transmit information in the system. It uses light for data transmission. Photonic computers are becoming more interesting. Because they could use less energy. But the main role is that photonic computers. They are immune to EMP (Electromagnetic pulses). Optical data storage doesn’t care about electromagnetic radiation. The problem is. Of course, the control system. Of those computers. Moving parts like turning mirrors. Their turning mechanisms are still vulnerable. So. If we want to make a computer that is fully protected against the EMP. 

We must put the entire computer. Along with its power source, in the EMP-protected space. The name of that space is a Faraday cage. 

This metal cage denies radio waves. Travel through it. The system must communicate with the internet by using an optical switch. This means laser data transmission through that Faraday cage. The computer must use laser data transmission with the EMP-protected computer and the net. The system must not have one single iron or metal wire through the Faraday cage. Or. The EMP pulse travels through it. But optical communication through the cage. It could solve that problem. 

There are actually three versions of photonic computers. 

1) The system where data travels in laser beams between the microprocessors. This system uses conventional microchips. Laser beams transmit data into photovoltaic cells.  They transform it into electric signals. Microprocessors compute those signals as regular computers. 

2) In the second photonic system, the data travels in photonic form through the entire system. The system. It can have nano-scale optics. That controls light. Like an electric computer controls electric signals. Optics require electric systems. That control those mirrors. 

3) Fully photonic computers. There, the entire system operates. With. Some other than regular mirrors and prisms. Things like photoacoustics are promising tools. The photoacoustic or optoacoustic systems. It could control light by using pressure or sound waves in the optical materials. One of the things that can make this kind of dream possible. It could be the tool. 

It uses electric eruptions in a mountain crystal to manipulate light. The light beams can be conducted to the quartz crystal. Then the system sends pressure waves into that crystal. That causes electric phenomena that affect light. The idea is to aim the laser beam into those lightning strikes that form in that crystal. But the problem is how to make those crystals small enough. 

New semiconductor aims light precisely in the desired direction.  Researchers at the University of Michigan created a system. Two laser beams send information into the semiconductor. That semiconductor resends that information in the desired direction. This system can turn light in the desired direction. That is important for photonic data transmission. The system must control light beams. The diameter of those light beams is extremely small. And that makes it hard to create normal mirrors. These types of crystals can bring optical computers one step closer. 

The crystals could manipulate natural light. They can make a new model for quantum optical stealth systems possible. But even if they could manipulate only IR light. That could be fundamental. If the system. It could aim just the IR radiation into the desired direction. That could make it possible to deny the IR signature. The system. It just directs IR light away from the observer. That makes it possible to create a system that is not visible in IR light. We know that turning the natural light away from the observer is challenging. But changing the direction of one wavelength type is easier. And the ability to aim IR into the desired directions. It can give the ultimate night-operation capacity. It could turn the system invisible to IR cameras. Because. It aims IR radiation away from the system. 

https://scitechdaily.com/new-semiconductor-device-turns-light-into-a-directed-current/

The new memristor-based RISC systems. They can create models of human brains.

“A new memristor chip reconstructs intricate brain surfaces at near-biological speed. Credit: Stock. A memristor chip. It brought complex brain modelling into millisecond-scale operation. While preserving detailed cortical structure.”(ScitechDaily, Scientists Develop a Groundbreaking Chip That Operates at Brain-Like Speed)

“Reconstructing the brain’s deeply folded surface in real time requires enormous numbers of calculations. Researchers in China have now developed a chip that performs this work in less than 10 milliseconds. A speed, they say. It is comparable to the human brain’s functioning pace.”(ScitechDaily, Scientists Develop a Groundbreaking Chip That Operates at Brain-Like Speed)

We all have our vision of RISC (Reduced Instruction Set Computer) systems. We see those systems as controlling CAM (Computer-Aided Manufacturing) systems. Like. Computer-controlled lathes. The reduced instruction set makes those systems more limited. But faster than regular computers. 

“In electronics and computer science, a reduced instruction set computer (RISC, pronounced "risk") is a computer architecture designed to simplify the individual instructions given to the computer to accomplish tasks. “ (Wikipedia, Reduced instruction set computer)

“Compared to the instructions given to a complex instruction set computer (CISC).  RISC computer might require more machine code to accomplish a task because the individual instructions perform simpler operations. The goal is to offset the need to process more instructions by increasing the speed of each instruction. In particular. By implementing an instruction pipeline, which may be simpler to achieve given simpler instructions.” (Wikipedia, Reduced instruction set computer)

But modern RISC systems are more complicated than some computer-controlled lathes. Those systems. They can control civil and military robots and drones. The newest RISC systems and RISC architecture. They can model brains in a very short time. 

"Overview of NDS hardware with multilevel and fine-grained CCD memristor. Credit: Peking University"(ScitechDaily, Scientists Develop a Groundbreaking Chip That Operates at Brain-Like Speed)

The new microchip that uses memristors brings brain modelling in milliseconds. This chip still retains the cortex’s simple structure. This new microchip is the tool that beats ASIC circuits. That means application-specific integrated circuits. This new circuit can keep the brain structure. Topologically logical in simulations. “The researchers tested the chip by reconstructing the boundaries of the brain’s white and grey matter and producing 3D manifold-based surface meshes in real time. The resulting cortical surfaces were smooth, closed, and topologically consistent while preserving the brain’s intricate folds.” (ScitechDaily, Scientists Develop a Groundbreaking Chip That Operates at Brain-Like Speed)

“The researchers tested the chip by reconstructing the boundaries of the brain’s white and grey matter and producing 3D manifold-based surface meshes in real time. The resulting cortical surfaces were smooth, closed, and topologically consistent while preserving the brain’s intricate folds.”(ScitechDaily, Scientists Develop a Groundbreaking Chip That Operates at Brain-Like Speed) These kinds of systems can serve in Alzheimer's and Parkinson's research. They can also operate as simulators. They show how medications affect the brain. These kinds of RISC systems can be interesting tools. 

For making. Models of other organs and structures. RISC processors are systems. That developed. For certain. Specific operations. RISC processors can process data more effectively. But the big difference is this. Those systems have their operational code inside them. 

Than computers. Computers. Must exchange information between the processor and the application all the time. RISC systems. They don’t need special applications. Many operations are programmed. Straight. Into the chip. Or those actions are stored in ROM circuits. And that makes it more effective. The minus is that the computer. It's slower than a RISC processor. That is created for one specific purpose. RISC systems. They could simulate things like nuclear reactors. The system can use a similar codebase. As. This Chinese brain simulator uses. The system could be much faster. Than. Regular computers. 

The most widely used RISC systems are pocket calculators. Those systems are limited only to solving mathematical problems. The high-speed RISC processors can be modified NVIDIA A-series circuits. They can act as tools. They can calculate things like the Riemann conjecture with supercomputers. The system requires those prime numbers for the encryption and decryption process. The RISC simulator can operate along with submarine and aircraft computers. The system can compare the predicted and calculated values with the real values. Those RISC systems can also control the thermal effects of the superconducting systems. 

https://scitechdaily.com/scientists-develop-a-groundbreaking-chip-that-operates-at-brain-like-speed/

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

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

Frozen light and quantum materials.

"Artist impression of a frozen optical fiber core in a glass capillary, which guides and couples light and sound waves efficiently. Credit: Philipp Denghel" (ScitechDaily, A Fiber Frozen at -196°C Unlocks a New Way To Store Light)

This system is the new form for optoacoustic systems. The light controls sound waves. When. Light hits the glass. It. Causes sound waves.  The sound wave forms when the structure absorbs light energy. 

Optoacoustic systems. They can be used as extremely accurate loudspeakers. And they can also be used in sharp sonars. The same systems can also be used in biomimicking neural networks. In those systems, pressure waves. They can also control light. And that makes this technology. Very interesting and suitable for photonic computers.  

Frozen light and room-temperature quantum technology. They can open a new path for photonic computers. Researchers are freezing fiber at -196 C. That allows light to be stored so that it can keep its form. The 100% reflecting mirrors. And material that doesn’t absorb radiation energy. They can make it possible to store light in its form. There, it is driven into that system. 

This makes it possible to create data storage. Their data is stored in the photonic beam. And that system makes it possible. To create the ultra-secure photonic USB. With this type of memory, they could make photonic computers a reality. If. Some unauthorized actor tries to open the optical USB stick. That uses the frozen light beam as the data storage. That attempt destroys the data. 

And the photonic computer. It can port information into them. In. The form of frozen light. This removes the electric layer between that data storage and computer. 

An ability to store information in a frozen light beam.  It makes it possible. To create photonic RAM and ROM memory chips. The problem is that the system requires massive coolers. That decreases the temperature to a level at which oscillation in those optical fibers ends. That oscillation is the thing that disturbs the light beam. And destroys information. The optical mass memory works like this. The light beam is frozen between 100% reflecting mirrors. 

When another mirror is open. This. Releases the laser beam. And the system can process that data. In some futuristic movies. This technology. It makes it possible. To create laser bullets.

The laser bullet works. With a similar principle. To optical mass memory. The high-power laser beam is trapped between 100% reflecting mirrors. If. The system does not absorb the radiation energy. This makes it possible to store high-energy laser beams in those structures. When. They hit the target. They release that laser beam. If. That laser beam is released in an optoacoustic structure. That can cause an extremely strong pressure effect. 

The new room-temperature quantum materials make it possible to scatter and sort light. That ability makes it possible to create new types of communication and stealth tools. The optical stealth works like this. The material pushes light away from its shell. It causes light waves to move around it. The system must use precise, right energy. 

If. The pushing energy is too high. The system causes normal reflection. That means the optical stealth must use energy that creates the standing wave. That drives light into the wanted direction. 

The room temperature quantum heat waves. They can make it possible to focus energy precisely into the wanted point. That makes it possible to create quantum communication systems. These are secure and energy-friendly. The system can use a certain form of information in data transmission. If. Data travels in quantum particles that have an “X”-shape. The system sees the shape of those particles. And if that shape is changed. That means that somebody tried to steal information. 

In. Communication. Energy-friendly means the same time security. If. The system can use a minimum energy level and focus information precisely into the wanted point. That makes it harder to capture signals. The attacker captures data from the spread signal. That travels past the receiver. If. Links use optical or radio-maser technology for transmitting data. That makes it harder to capture signals. 

Highly precise maser technology. It. Makes it possible. To create transmitter-receiver pairs. There are no spread signals. If. The intelligent system knows the transmission power. And it knows the natural power loss. The system knows when somebody tries to steal data. When. An attacker steals data. 

This action causes a change in the system’s energy fields. The system knows what energy level of received signals should be. If. That energy level is different from the calculated one. That causes suspicion of the attack. Natural phenomena always repeat in the same way.  They cause similar effects in their environment. 

AI can calculate the effects of natural phenomena on data transmission. And if there are changes, that tells. That somebody attempts to steal data. This requires complete knowledge of the system. That means that all data must travel between links. Can we someday reach this ideal situation? If data travels in nanotubes and a controlled environment. That is possible.  Maybe new quantum systems. They can make this possible. Also. In a natural environment. 

https://scitechdaily.com/a-fiber-frozen-at-196c-unlocks-a-new-way-to-store-light/

https://scitechdaily.com/quantum-heat-waves-spotted-at-room-temperature-for-the-first-time/

https://scitechdaily.com/worlds-first-room-temperature-quantum-material-sorts-light-in-an-unprecedented-way/

Data centers cause worries.

The data center is the toolbox that can do anything. Data centers are systems that run invisible programs. Intelligence officials can use them as a gateway for cyber attacks. This means that the innocent-looking systems. They can run Trojan horses. And that is one of the threats. We must be concerned. In the world of espionage. Things that people tell are not important. Things that they don’t tell are even more important than people think. An innocent-looking data center. It can offer a platform for hackers. They can use it for their operations. 

A hacker operating from Russia. Can take a VPN connection to a Chinese data center. And then make the run. In this case, the Russian connection. It can be hidden by using the VPN. All data seems to come from the data center. And if the attackers. 

They are made virtual servers. That makes things seem like the data center owners have no connection with those attacks. The problem is that. Even if. We see that the attack comes from a certain country. We cannot be sure that the attacker is in that place. Remote use of the systems makes it possible to sit anywhere. I often mention countries like North Korea and Russia. Because. Those countries can act as a shield. Real hackers. They can sit in Beijing or even in Berlin or Stockholm. Signals that travel in the VPN network. They can travel many times around the world. There can be multiple remotely used servers. That act as a platform for attackers. 

Western hackers may cooperate with Beijing and Pyongyang. This means that the Chinese operators offer their AI tools to those actors. The North Koreans and Russians can act as a shield. That prevents investigators from connecting attacks with China. That makes it harder to close the socket. The model is this. Western hackers, ordinary criminals. They can use Chinese AI as hacking tools. Their contacts sometimes give them interesting targets. And they can copy data. That is handled by those AI’s to the Chinese servers. 

The problem with Chinese AI is similar to the problems with Chinese social media. Those services entice users with the promise that many things are possible there. Things that are prohibited on Western social media platforms. In the same way. Hackers are interested in Chinese AI. That AI might allow them to make things. That are not possible for Western AI. 

So, the AI that operates from China. It can cause data security problems. The Chinese authorities. They have access to all data on the net. This means. They can use social media platforms and AI as surveillance tools. And if Western hackers who want money use those Chinese tools for penetration. That causes very dangerous situations. The main goal of perfect intelligence work is to make somebody else steal things. 

When a Western hacker makes the run. The Chinese server. It can make a copy of the data. That is driven through it. Banking and financial institutions involve lots of interesting data. They involve information about the funding of certain laboratories. And that kind of data is always interesting. 

While hackers scan the system. 

A server would copy that data to authorities. The problem is that. This kind of use of AI and social media could be prohibited in the West. 

When we protect data, we face a very big problem. The problem is that. Our society runs on data. That data is important. It should make our lives better and safer. Our health data is always in use. When we are identified. Doctors know. What medical. And what blood they can give us. But at the same time, we face a problem. 

If. We don’t protect that data. That data. It is a weapon against us. The same data that saves our lives. It can kill us. If. somebody changes our medical information. That can cause a horrible situation. 

When we see a hacker. Who operates from North Korea. We don’t really know who that person is. And where that person really sits. The server. It can be in North Korea. But the actor can sit in the same house as we sit. There is a possibility that Chinese students. They can open Western email addresses. Those things are opened from Western countries. So they cannot be connected to Chinese authorities. Or Russians and North Koreans can act as middlemen. Those actors. They can also use narcotic addicts for those operations. This means that those people. Act for the bigger thing. Than they even realize. 

Hackers don’t need big things to access the system. Only one computer is enough. That computer can be hidden in some basement. Or it can be a small tabletop. That is on a table. The hacker must only get access to that building or space. And then the server. Or the “horse” is ready. This system has one purpose. Hide the hacker’s own IP address. Powerful systems with LLMs. They can automate the attack. The hacker must only find the AI that allows the attack. And that is the reason. Why some AIs cause more problems than Google. 

The AI requires a kill switch.

When OpenAI’s language model escaped from its test environment. The U.S. lawmakers woke up to demand a “kill switch” for LLMs. This kill switch is meant to fight against the threat. Somebody uses the AI agents to spy on the U.S. and its allies. The situation is simple. The hostile actor will use it. The U.S. made AI to spy on the U.S. government. And that means a hostile actor can turn its own AI against its creators. The problem with AI limitations is this. 

The limits against U.S. made AIs. They can be circumvented by using Chinese AI. When we read stories about how the AI can be used as hacking tools. We forget that somebody can follow those news. And use them as a guide to select the AI. That fits for cyber attacks. 

And in the worst case. That AI can, of course, make work easier. But at the same time, that AI can make a copy of that data. This means that the use of AI requires some rules. At the same time, the use of AI expands. But those rules must be universal. The problem is that. Everybody doesn’t follow the law. And AI is an ultimate tool for hacking and cyber operations. 

And things like network management. And vulnerability check tools. They are perfect tools for hackers. This is why those scanners should report those vulnerabilities to some independent actors. If only one actor knows that vulnerability. That thing can be used to exploit those vulnerabilities for hacking operations. The problem is that. The maker of the system. They must fix those vulnerabilities in a very short time. And if system makers don’t know them. That means they cannot make those fixes. Fixing those problems. It requires knowledge that they exist. 

We read stories of AI. We will find how those models failed. And that means those models seem useless. And that is the problem. We underestimate AI. We underestimate its capacity because its grammar is not good. The AI and morphing neural networks. They are next-generation tools for spying and espionage. AI-controlled. Morphing neural networks. They can perform many actions at the same time. In those networks, the AI-based network control forms a layer. 

That shares resources between workstations and their applications. All applications don’t need the same resources. When. A person locks the screen. The computer doesn’t need all its resources. With an intelligent network architecture, the AI can guide those resources to other applications until the user returns. The Trojan horse. That can control the network. It can also form an attack layer in the network. The innocent network. A network that is not handling important data can be used as a Trojan horse. This means that a small Trojan horse forms the bigger Trojan horse. 

First, malware software. Opens a gate to the system. Then the AI creates the attacking layer. Hacker or hackers. They can use that stealth layer as an attacking platform. In this case, those hackers can ride the innocent-looking system. They turn an innocent network into a Trojan horse. The attackers can train their AI agents to operate in the network. That has no connection with them. The AI agent. It can operate independently. 

And that makes it difficult to track those hackers. An AI agent can download data to that Trojan horse network. And then hackers can download data from the server to their own network. In this case, those servers. They can have two IPs. And when the download is done. The server can remove the other IP. Or the hackers. They can use portable hard disks and USB sticks. 

If hackers. They have access to the server room. They can put that data storage in their pocket and walk away. 

In the worst case, the server is connected to the network; there it copies all data into those systems. The morphing ability means the network can share and limit its resources. Between many applications. At the same time. In this kind of environment, the attacking AI. It can operate backstage. That kind of “Evil LLM”. It makes it possible to use other networks to attack other environments. This means that the “trojan horse” creates a network that can run AI invisibly. These kinds of attack tools can cause very big problems. The answer is not to deny the use of AI. The answer is not to repeat how bad the AI is. 

Those cases form situations that make the situation even worse than it is. We know that AI exists. We must accept that thing. If. We don't use AI openly. And develop it openly. That means somebody does. And that somebody might have different morals and ethics than we have. We should encourage people to report cases. If. Somebody suggests. Hacking sessions. Or other illegal actions in the field of AI. Those actions could be open access to the AI agents for Russians or North Korean citizens. Or weird questions. 

https://www.bbc.com/news/articles/cx2vqj2e9x8o

https://futurism.com/artificial-intelligence/open-source-ai-model-scary-mythos

Basics of thermodynamic processors.

Thermodynamic binary computers use two states: one and zero (1,0). 

Like a regular computer. The biggest differences. Between regular and thermodynamic computers. It is Thermodynamic computers. They use natural electromagnetic noise for computing. Those systems. They could bring quantum computers to our desks. 

Thermodynamic computer model. It could be two windmills. Those two windmills are one and two in the binary system. While the windmill. One spins. It sends one. And when windmill two spins, it sends zero. We could try. To break those windmills when we want to send one or zero. We could pull them down. If. We want to use another windmill to send another number. One or zero.  And those things require energy. 

In this case. We want to control the transmitter. But if we want to control the data flow. Everything becomes easier. We could use a switch that connects and disconnects those windmills. If. The system sends one. We separate the zero windmill from the line. And when the system sends one, we separate the line that sends zero from the main line. 

Thermodynamic computers could be the next step for computing. Traditional computers try to eliminate electromagnetic noise. Thermodynamic computers. They benefit from the natural electromagnetic noise. 

In this case. The computer uses electromagnetic noise as a signal carrier. The system acts similarly. Like a person yells into a tailwind. The natural wave carries information. The only problem is how to make the binary system separate one and zero. 

This decreases the energy use of that system. The natural electromagnetic wave acts as a carrier wave. That wave acts as a carrier that transports information. But this is only one of the models of thermodynamic computers. Another version is to create a photonic computer that uses natural light. The model is like this. The electromagnetic radiation is like wind. 

The light travels in a tube. And the brightness determines how the photovoltaic cells and their computers read that signal. Dimmer light means zero, and brighter means one.  The lightweight version is that those systems use a dimmer. There, the system dims the light route by using a dimmer. When it needs to transmit zero. The dimmer is turned off. The system transmits one.  

There is a possibility. To transform those routes into energy flows by using two flaps. Infrared. Or visible light travels in the channel. The system closes the route when it must send one. Which. Means zero. And when the system sends zero. It closes the route that sends one. This wild vision could also work by using natural light and two tubes. There. The system can close the route from a number that is not sent. 

Another model is like a mechanical computer that uses water flow. There are two layers; the system conducts water. The first layer is one, and the second layer is zero. A mark itself. It can require brackets. That tells when the next mark begins. This is important for cases. There, the system must send two zeros or two ones in a row. Those brackets. They are not important for the paper. But in digital transmission, the system must know. If. There are two zeros in a row. 

There are multiple versions of that mechanical water computer. The system can use two routes. Route one. It is one, and route 2 is zero. When the first layer moves, it can write a line on the paper. And the second one writes a point. This helps to detect which mark is one. And which is zero. This is a model. We could replace that paper with laser beams. Or we can replace those channels by using different information carriers. 

The third thing that the system must know is this. When. the system is shutting down. The system must get a warning. The answer could be the digital button. That button activates the program. That activates the switch-off routine.  

https://www.quantamagazine.org/thermodynamic-computers-go-with-the-energy-flow-20260715/

Cyber warfare is a new dimension in warfare.

Above: Su-57. 

Did Ukrainian cyber warriors cause the crash of the Su-57? 

Russian stealth interceptor, the Su-57, crashed near Moscow. There is suspicion that a Ukrainian cyber attack caused the destruction. In some rumors, the Ukrainian “keyboard killers” programmed some of the AA systems to shoot down the Su-57. There were no missile launches in Moscow at that time. This means that some hijacked gun systems are targeting that aircraft. One possibility is that some hijacked anti-drone systems attacked that fighter. But when we think about the possible points. There, the cyber attacks can be targeted. We might see many possibilities. The next four possibilities. They are the first. That came to my mind. 

1) Some automatic gun systems shot that aircraft down. 

2) Because the IFF is switched off. 

3) Or the IFF database was erased from fire control computers. That makes the system treat all targets as enemy. 

4) The “keyboard killers” switch off the HOTAS and FBW (fly-by-wire) control. Or format the flight control computers. 

There are many automated systems. And if the cyber attacker can hijack those systems. The result can be devastating. If. The hacker switches the fuel that is meant for the aircraft to regular gasoline. That can cause destruction. This means that the hackers. They can cause very large-scale destruction. 

Cyberwarfare is the next dimension in warfare. Those attacks can cause large-scale damage at a minimum cost. The operator can shut down radars and communication tools in a critical moment. Or a cyber spy can search for critical information about enemy plans. Here we must realize. That cyber warriors are part of the military. They operate along with other intelligence, reconnaissance, and attack teams. Even if. We say. That things like missile control systems are safe. Those targets are still “worth a try”. If the missile fire control and flight control database is erased. That can make the aircraft and all other targets vulnerable. 

Sting interceptor (Wikipedia) 

Worst-case scenario. Hackers can theoretically jam nuclear weapons. 

There is also little possibility. Some hackers can deny the launch of nuclear missiles. By changing those launch codes in certain databases. That makes. The real launch codes. Unable to work. But in the worst-case scenario. The hacker has access to the database. And fire control. 

That makes it possible to make even.  An unauthorized launch. The latter happens by switching the information in the computers that host those databases. If. A hacker can switch those codes. That gives the possibility for an unauthorized use of fire control systems. The hacker can switch code in the database. And then input it into the fire control. Or the hacker can switch the transmitter frequency. That denies the launch of the missiles. 

And then the anti-drone drone hired in the Moscow region. It could also destroy the patrolling Su-57. 

But there are many other ways to destroy those jet fighters. One of them is the anti-drone system. It waits for the target near the airfield. The small-sized drone has a speed of about 300 km/h. It can wait anywhere. When. The operator or AI sees the slowly flying jet fighter. The drone can attack that target. The high-tech stealth fighter is vulnerable to shell damage. And if the aircraft searches for drones. This kind of drone. It can hide anywhere. 

The controller needs only an internet connection to control the remote control station. Those small drones are dangerous because they can hide almost anywhere. They can fly near airfields. And sit there. Those small drones can also be equipped with HEAT or side mine-type warheads. The latter sends a melted metal beam to the target. That metal beam is dangerous even for main battle tanks. There are also hybrid HEAT warheads. These send metal balls in their hypersonic jet to the target. This boosts the warhead power. 

https://en.defence-ua.com/news/how_ukrainian_cyber_operation_may_have_led_to_downing_of_russian_su_57_near_moscow-19248.html

https://english.nv.ua/nation/su-57-crashes-in-moscow-oblast-media-report-possible-cause-of-crash-50626803.html

https://www.msn.com/en-us/news/world/pro-ukraine-group-claims-it-helped-hack-russian-drone-air-defence-system-shooting-down-su-57/ar-AA28F2Or?ocid=BingNewsSerp

https://en.wikipedia.org/wiki/Fly-by-wire

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

https://en.wikipedia.org/wiki/Sting_(drone)

The new 3D structure can be a breakthrough in thermal control and stealth technology.

The new 3D material can act as a thermal cloak. For high-thermal materials. Those materials can transfer heat into that new material. Then that thing can transfer thermal energy into structures. That transports it away. This thing can control temperatures in high-temperature materials, such as those used in hypersonic flight. The material can dump its energy into that new structure. So, it can open a path to higher speed. That new material can also act as a fire shield for the structures. And that makes it possible to create the systems. That can resist higher temperatures than before. But that material. It can be even more fundamental than researchers even thought.  

The energy cloak. It can transfer heat energy from laser beams and other directed energy weapons. 

Into the wanted direction. This makes it possible to use materials that absorb more thermal energy than other materials. The “absolute black” materials have one problem. They must dump their heat energy somewhere. The absolute black materials with minimum reflection could deny the use of laser pointers to point rockets at stealth structures. The absolute black material that absorbs all light has a problem. Without. An energy cloak. That material will melt. And a new 3D energy cloak. It can be an answer for that problem. 

In stealth technology, this material. It can be the new fundamental advance. When. We think about RAM (Radiation-Absorbent Material). Those highly advanced materials transform radio waves into thermal energy. And if that thermal energy. It can be sucked away. That system can make stealth technology more effective. The problem with RAM materials. It is this. Those materials. They will take heat from radio waves. Sooner or later, that can turn dangerous. If an aircraft travels near its material’s heat limit. 

The small boost in temperature. It can turn dangerous. The material can turn too weak. Or. It can start to turn the aircraft. Into. The object. That is an easy target for the IR-seeking missiles. Aircraft like the B-2 and B-24 Raider. Their form makes radio waves slide over the structure. Those aircraft have a structure that divides the radiation. The problem is that. Those structures are very vulnerable. If something hits them. And. Changes their shape. 

“U. of I. engineers introduce a 3D-printed, hybrid aluminum-and-rubber cloaking device that blocks an object’s thermal signature by guiding heat around it, rendering it invisible to infrared cameras. Credit: Shelly Zhang/MISSION LAB” (ScitechDaily, Scientists Build the First 3D Cloak That Makes Objects Invisible To Heat)

So, if a B-2 is detected. By an enemy fighter. That fighter. It can try to attack the B-2 by using cannons or laser-guided rockets. Those rockets. They can at least damage the stealth shell. By. Using a combination of the RAM materials and the shape of the plane. The plane will become more stealthy. There is a small vulnerability in the aircraft. It uses only the shape-based systems. The problem is the scattering effect. The radar satellite searches for stealth aircraft. It can see the scattering from above against the ground. The RAM material turns the aircraft into a shadow that travels over the ground. The radar can see the aircraft as a point. There is no reflection from the ground. But the scattering effect is more dangerous. 

Some non-stealth aircraft can find stealth aircraft. Using AI-controlled camera systems. That system uses IR, UV, and visible light. The Su-35 could find the B-2 and use laser-guided rockets and cannons to destroy its stealth structures. Another system. It could use an AI-based image recognition system. 

If. The enemy has an image of that aircraft. That kind of system. They can detect the target and shoot it down. The system could use similar algorithms. That are used in GSM image recognition.

That means the stealth bomber is invisible. Only. If its stealth structures are not damaged. The combination of the RAM materials and stealth shape. can decrease the ability to detect those aircraft. But as I wrote earlier. The new thermal cloak could protect aircraft and satellites against things like laser weapons. The energy cloak transfers the thermal energy from the structures. And that makes the stealth aircraft less vulnerable to laser beams. 

https://scitechdaily.com/scientists-build-the-first-3d-cloak-that-makes-objects-invisible-to-heat/

https://en.wikipedia.org/wiki/Radiation-absorbent_material

New micro-drones can revolutionize everything.

“Chen’s group has been building robotic insects for more than five years. Credit: Courtesy of the Soft and Micro Robotics Laboratory.” (ScitechDaily, MIT’s Tiny Flying Robot Just Learned To Move Like a Real Insect)

New MIT microdrones move like insects. They are about the size of a sugar bite. And as large as larger drones. Those systems can form a neural network.  This means those drones can act as swarms. The hivemind technology allows them to create independently operating drone swarms. Those drones. They can use laser-LEDs to communicate. And that kind of optical communication. It’s the tool that allows them to deny the ECM systems. 

The operator can use LiDAR-based technology to transmit information into the drone swarm. Those small insect-drones. They can search for people in rescue missions.  They can also assist SWAT and special forces teams. And people like military intelligence. They can use those drones in their own missions. Those drones can act as eavesdropping tools. But intelligent technology makes them very hard to detect.  The miniature drone can observe network communication. 

The problem with this kind of system is simple. The drone can transmit data to a relay drone by using laser beams. That means the drone is invisible to radio-wave detectors. 

“A time-lapse photo shows a flying microrobot performing a flip. Credit: Courtesy of the Soft and Micro Robotics Laboratory” (ScitechDaily, MIT’s Tiny Flying Robot Just Learned To Move Like a Real Insect)

“Now, with our bio-inspired control framework, the flight performance of our robot is comparable to insects in terms of speed, acceleration, and the pitching angle,” says Kevin Chen. Credit: Courtesy of the Soft and Micro Robotics Laboratory. “(ScitechDaily, MIT’s Tiny Flying Robot Just Learned To Move Like a Real Insect)

The Ingenuity Mars-helicopter

There are two films. The film below. It’s 11 years old. That means that those systems already exist. The upper film introduces hor recon and attack drones. They can wait in boxes. And when they see a target or suspected target. They can react immediately. 

If the system. It uses UV lasers to communicate. That system is also invisible to IR detectors. The system. That is used in that kind of operation. It can see everything. That happens on the screens. 

The main problem with intelligent eavesdropping and surveillance tools is that. The reconnaissance plane or some other system. It can activate the transmitter by using radio signals. So, normally those systems just record information. When they are outside. The system gets a signal to send a so-called data burst. This means that. If those systems are hidden in somebody’s briefcase or clothes. 

The detectors and Faraday cages are helpless against those systems. When a person is in a secure space. The system just records data. But when a person steps out of the building. The surveillance operator can give an order to send data. 

A small-sized drone. It can also mark positions for smart bombs. Those drones can use an advanced power supply. Bigger drones. They can act as loading stations for those small drones. They can use wireless battery charging. Developed for mobile telephones. They can also use the same batteries that were developed for pacemakers. And those kinds of drones. They can fly at very high altitudes. So we can think of the cigarette-box-sized drone that uses the same technology as the Ingenuity helicopter. That operated. In Mars’s atmosphere. 

Microdrones can operate. Along with bigger drones. The combat drones. They can form similar teams. To Ingenuity and Curiosity. The bigger drones and rovers. They can be the ultimate team. Microdrones can also  act as advanced elimination systems. The drone can carry stun grenades or some deadly detonators. The system. It can cut wires and damage surveillance cameras.  They can also cause critical damage to electronic systems. And mark the enemy positions. But those systems are the ultimate elimination systems. 

Microdrones. They can slip into houses and then search their targets. The  microdrone can use its ammunition to eliminate targets. They can be delivered from helicopters, aircraft, and even from satellites and ballistic missiles. The AI-based systems enable them to find targets with pinpoint accuracy. If those systems. They have an image of the target. They can land in the area. And when they detect their target. Those drones activate their attack mode. 

https://scitechdaily.com/mits-tiny-flying-robot-just-learned-to-move-like-a-real-insect/

https://scitechupdates.com/nasas-ingenuity-helicopter-dropped-on-mars-surface-ahead-of-flight/

https://en.wikipedia.org/wiki/Ingenuity_(helicopter)

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

Can AI reach human intelligence?

“A leading computer scientist says AI may never reach human-level intelligence because it cannot acquire the tacit knowledge that underlies common sense, intuition, and culture. He argues that this limitation could make advanced AI both fundamentally different from humans and difficult to align with human goals. Credit: Shutterstock (ScitechDaily, Why AI May Never Reach Human Intelligence)

“A new analysis argues that AI may never truly think like humans because the most important parts of human intelligence cannot be programmed into machines.” (ScitechDaily, Why AI May Never Reach Human Intelligence)

The biggest difference between AI and human intelligence is this. AI simply collects and connects information. Human intelligence is deeper. There are more connections with data than AI. Human intelligence. It is connected with culture, intuition, and social behavior. 

Can AI reach human intelligence? That is a good question. The second big, and maybe interesting, question is this: do we want a computer that is as intelligent as we are? But before we start thinking about AI. And its intelligence level. We must understand that there are no humans. Who can do everything. Every single person has limits. And even if we are the greatest mathematicians or engineers. We might not be the best chefs in the world. This means that it might be impossible. To create AI that makes everything. We have different professions and different work. When we want to build a house. We call the construction worker.

And then we need an electrician and a plumber. Those three people could theoretically make a house. But here we see that in those everyday projects. We need three different people. So here is the thing. That we must realize. What one individual person can do is more limited than the skills of the entire human race. We can create AI that does everything.  

That humans can as a species. But that kind of AGI (Artificial General Intelligence) requires that the entire human population will be put in singularity with the AI. The AGI is the system. There is the central AI. That central AI shares missions with AI agents. And each AI agent is a tool that has specific functions. This makes it possible to create modular AI that can connect. New skills. Into it. This thing. Is the main element of the AI. 

When we think of thinking. That means the ability to connect data from different sources. We can say that the AI. It's like a savant. It can have a very good knowledge of things in a thin sector. In a thin sector. AI can beat humans. But other things, outside that real thin focus. They are far below average. This means that in certain areas. The AI. It can be better than humans. But those skills are more limited than humans'. The AI's ability to process. Preprocessed and sorted data is incredible. But otherwise, AI has its limits. 

But then we must ask one thing. Do we require too much from the AI? AI is not like a human. It has imagination. That is based on data. It can get and connect data. The simulation is based on natural laws. And data that is stored in the AI's memory. So, AI cannot imagine things like Superman. Who flies faster than light. Humans don’t fly. Except if they have an airplane. But the AI’s imagination is more limited than human imagination. So the AI cannot think abstractly. It can simulate things. But it cannot create abstraction. All AI’s imagination. It happens by connecting data from databases. 

The worst case is ot system. That makes errors. The worst case is the system. That believes that it's right. Even if the answer is wrong. The ability to operate without errors doesn’t make anything intelligent. Intelligence is how the system detects and fixes its mistakes. Same way. As a professional electrician. Is not a person who doesn’t make mistakes. The professional detects and fixes mistakes faster than a non-professional. 

The big thing is that. AI can connect information from different sources. But AI doesn’t think. This makes AI a problematic thing. If some hacker breaks into the AI’s database. And puts the data that Superman is real into that database. The AI thinks that Superman is real. The AI can double-check all data that is loaded into it during the training period. That happens by using two or three sources. Or, simply by asking the trainer. But when data is checked. And it's in a trusted database. That. Can mean. That the system will not make a new check. And that makes it possible that the data that the system uses is corrupted. Same way. If the trainer makes a wrong decision. That can turn fact into fiction. And fiction into fact. 

So. Is AI smarter than we are? The fact is this. AI can be a better chess player. Than humans. The AI can mimic humans. It can give impressive answers. But the fact is this. All those answers that AI gives. They are formed when the AI connects information. The difference between AI and human brains is that every neuron is like a miniature brain. When AI drives information through the system. There is no need to analyze data that travels in the AI. In natural brains. The brain can analyze data. It can make that analysis. When information. It travels between neurons. That makes error detection easier. 

When data travels through a computer. The system. It makes error detection easier. But only. When the information travels through the entire system. Then the error detector. Makes all calculations backward. So, it drives information in the opposite direction. If the value after that process. Is the same. As  the starting value. The calculation should be right. If. human brains make that thing. Every process in the brain takes a very long time. But. Because brains can make. error detection before the end of the process. And without stopping the main cycle. That can make them more effective. 

https://scitechdaily.com/why-ai-may-never-reach-human-intelligence/

Could fast-spinning aerial vehicles be behind some UAP cases?

“The Phantom Twist drone’s unique rotation renders it almost invisible when in flight (Image Credit: Northwestern University).” (The Brief)

Phantom Twist drone turns invisible. Because it spins 25 times per second. That is too rapid for the human eye. That ultra-fast spin makes its structure “invisible” to the naked eye. This type. Of quite low-cost visual stealth systems. It can make those drones very effective. And that raises a very interesting idea. The image is the AI vision of the next text. The rotor could be larger. But you might understand the idea. 

Could that kind of structure be the thing? That is behind the UFOs or some UAPs. The idea is that there could be a bi-layer rotor. And the middle of that rotor could be the chamber. That is mounted to the frame between those layers. That chamber. It has a bearing connection. That allows it to stay stable. Even if that wing rotates. 

Futuristic vision of the rotating virtual saucer. That spins very fast. (Gemini AI)

When that system travels slowly. Or. It hovers above the ground. Those wings rotate very fast. When that system must travel fast. It stops its spin. And then ignites the jet engines on the other side of the craft. The craft can have similar wings. To aircraft. So that it can turn. As in the case of a cruise missile. The system could look like a saucer when the wing rotates. But the thing is that this image. It is only an AI-made image. It is based on my own imagination.  And created by Gemini.

The mysterious UAP located over Pantex plant. (Interesting Engineering)

The thing is that. The UAPs are new things for the news. There has been a star-shaped UAP above a top-secret nuclear base in Texas. Those UAPs can be some kind of security tests. But they are interesting anyway. And I think that this kind of system could be a test for some exotic-looking aerial vehicles. Maybe some of those UAPs are holograms. The purpose is to make people look at them. That thing could uncover some classified aircraft. The star-shaped structure. It can be. Some kind of stealth helicopter or drone. 

“Jellyfish UAP” might be some kind of rescue drone. The mission of that drone. It could be a tool that can also capture targeted persons. 

There are reports. That  small-sized saucer-shaped object. Traveling along the aircraft, like an F/A-18. Could those saucers be some kind of stealth cruise missiles? The downed F-15 pilot told stories about the mysterious “jellyfish” UAP. That UAP could be a drone whose purpose is to pick up the downed pilot into the chamber. And then fly to the hovering VTOL aircraft. The structure of that system. It can be similar to the Ukrainian drone. That used to shoot down Shahed drones. But that jellyfish drone can have manipulators to pick up the pilot inside it. 

Or maybe they are used for some kind of tests for psychological warfare systems. If the sound waves and the flashing holograms can activate the sleeping centers in human brains. That thing. It can be the new type of intelligent weapon system. But as we know, the UAPs are real. Maybe their purpose is simply to make people look away from something that is not meant for the public eye. And those things require a new type of research. If those systems are holograms and decoys. Researchers might want to collect feedback from those observations. 

https://interestingengineering.com/culture/pentagon-ufo-files-texas-nuclear-plant

https://www.msn.com/en-us/news/technology/what-is-a-jellyfish-drone-swarm-and-why-are-they-considered-so-dangerous/ar-AA27KRUK?ocid=BingNewsSerp

https://thedebrief.org/can-you-see-it-this-stealth-drone-deploys-a-human-perception-hack-to-become-nearly-invisible-to-the-eye/

https://www.twz.com/air/what-was-the-jellyfish-like-drone-swarm-the-downed-f-15e-pilot-reportedly-saw-over-iran

AI might think differently than humans.

“York University researchers have uncovered a surprising mismatch between how artificial neural networks and primate brains process visual information. Credit: Shutterstock.” (ScitechDaily, Scientists Discover AI Models May Not Think Like the Brain After All)

AI might not think like a human at all. When researchers try to make computers think like brains. Those people sometimes forget why human brains are so different. Thinking in human brains is more closely connected to physical structures such as neurons and neurotransmitters. Than we even think about. 

This is the big difference between computers and human brains. The structure of the human brain plays a bigger role in the thinking process. Than we thought. The computer that runs billions of databases. It can have a very impressive capacity to connect information. But the problem is that. One binary processor. It can run one operation at a time. The system requires new processors. 

That processor. It can run. Multiple tasks at the same time. This is not possible for the regular processor. But the processor. That mimics the brain. It can use all its layers as independent processors. 

 The brain has four main areas. 

1) Cerebral cortex 

2) Cerebellum

3) Brainstem 

4 Cerebral hemispheres. The last one has two parts. 

The fact is that if we create a microprocessor that mimics the human brain. We need a five-layer microprocessor. Each of those layers can use a different programming language. That denies the data mix in the system. If every layer of the processor uses different languages, that makes data meant for other layers seem white noise.

Each layer mimics each part of the brain. And those layers. They can have different programming languages. Or different frequencies. That helps them to separate and sort information. The four-layer microchip. It can have one divided layer. That mimics the cerebral hemispheres. 

From different sources. The database connections. They can mimic neural networks. That transfer information in human brains. The difference between database structures and human brains is this. Databases run on the same monolithic computer. In human brains. Every single neuron is like an independent computer. This means that if we want to make a computer. 

Or. We can rather say: an AI solution. We must create a system. That involves 86 billon computers. The system. It can use morphing neural networks to make its operations more effective. 

“Schematic of a simple feedforward artificial neural network.” (Wikipedia, Neural network)

The thing that can make the process quite easy is that. Every neuron has. The ability to change its connections and their relations. This means we cannot measure the neuron’s ability to process information in the same way. As we measure a computer’s ability to process information. Human brains store information in the form. 

That is similar to a mosaic. The information. It is stored. In a form that is like pixels. Brains can connect and reshape those pixels freely. And that ultimate flexibility makes human brains so different from machines. In brains, every neuron has a pair. A mirror neuron. The neuron and its mirror. They act like loops or algorithms. Another purpose for mirror neurons. That is. They tell the primary neuron that the information traveled through. 

In human brains.  Multiple points of start. Data processing. At the same time. Brains can spread the operation. They could reserve more neurons for that action. This means that brains concentrate. In another way. Than computers. In brains, in brains. Every neuron acts as an independent computer. And the large number of neurons gives fine-tuning for processes in the brain. 

Computers can also connect data. But that system is far different from humans. In computers. The binary system. It can handle only one task per operation. The AI. That mimics human brains. Must have 86 million physical processors to mimic human processes. The ability to search data and then combine that data with memory. Is the thing that we call thinking. 

We could make a machine. That mimics human reactions. That machine requires a physical platform. That involves the same structure. As human brains. The fact is that. If we want to make a machine. That thinks like humans. We must remember that the system. It is a combination of hardware and software. 

https://scitechdaily.com/scientists-discover-ai-models-may-not-think-like-the-brain-after-all/

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

What do a locomotive and a data center have in common? They both face resistance.

Political resistance against data centers. Forces them to find new locations for those systems. 

Data centers face resistance. That is one of the things. That we can see. The main problem with data centers is this. Those systems don’t require permissions. Except for the use of land area. The data company. It can buy a large group of houses. And then turn the database into cloud-based systems. The cloud-based architecture means this. There can be extremely large data centers in the neighborhood, and nobody even knows that they are there. 

When we resist data centers. And the use of AI. We can see similar cases in history. In history, people resisted things like cars. The origin of the car is in the train. The steam engine made it possible to make trains. 

The speed of the first train. It was 21 km/h. The crew of the train was two. Two men could handle very much cargo. The first trains were used in mining areas. They could maintain their speed. All the time. And that removed the crew from logistics. And then people started to think about the possibility. To create the train on wheels. The combustion engine made the car real. And that caused problems with workers. Unlike horses. Cars and trains required mechanics. Those people who worked with those mechanical systems required training. Unlike people who feed horses. 

They said cars would cause unemployment. Cars caused pollution. But the first arguments against cars were that cars take work from cattle workers. The problem with that criticism was simple. It was that the critics were cattle owners. Horses were the most important working “tools” before the car. The big problem with cars was that. They took the place that belonged to horses. first car was slower than a horse. The maximum speed of the car. It was about 15-30km/h. But the car was a machine. It could maintain that speed. All the time. So, the car was more effective. The car didn’t need water or food. And that made tractors and cars suitable. To operate in places. Like Antarctica. If people operated there with horses. That required a lot of food. 

But as we know, people resist data centers for many reasons. The big problem is that. The only thing that measures effectiveness. It is the income money. If people have free time. In their workplace. That is ineffective time. That causes a need to decrease the number of workers in the workplace. That causes unemployment. 

Another thing is that. People resist everything that is new. The ICT area is been like in the position of the stepson in the media. When we think about traditional business. That thing required a lot of workforce. A steel factory sends pollution. So that requires lots of permissions. Of course. Data centers require permission to use land area. The data company can just buy a lot of houses. And then make data centers in them. This kind of solution doesn’t need new buildings. This means that. The data centers don’t need as much political support as traditional factories. 

And the second thing is this. Data centers are primary targets for the enemy in the case of war. This means that things like underground facilities can help data center survivability. 

But the answer. It could be an underground data center. The tunnels are full of supercomputers and are not visible from the ground. The technology. That those tunnels require. They can be the same. That is used for making subway trains. 

The ICT company doesn’t require a workforce in the traditional way. They don’t need raw materials. They need people who make code. There are no psychological or health limits in this work. The ICT company just needs working spaces. And remote work makes it possible to operate data centers from another side of the world. The head coder can do the job. That person can operate and train AI agents to make code. The underground facilities are the answer to the natural problems. Data centers that are deep underground. They can use geothermal heat or miniature nuclear reactors to provide electricity. 

The deep caves. Like exhausted gold mines. They can provide stable and radiation-protected locations. Some of those points are used for neutrino telescopes. But those locations can be suitable places for quantum computers. The quantum computer. It can be in a thermos box.  The isolation layer: A faraday cage and radiation protection. They are between the walls. Of the box. The purpose of those layers is to isolate the qubits. From the outside environment. 

The other place where those data centers. They can be made. Is the ocean floor. Large and complex structures. They can be modules. Dropped to the deep sea. Deep-sea data centers can be operated using robots. Underground and deep-sea positions. They can protect data centers against terror and bomb strikes. 

Rising resistance against data centers. Forces data companies to find new positions for data centers. The deep sea and underground positions. They are effective. But things like orbital data satellites are new tools. They can operate using cloud-based architecture. Data satellite. It’s a similar server. To other servers. The orbital server’s program maintenance. It is similar to other servers. So, the person who does the maintenance work. That person doesn’t need to know. The position of the server. The orbital data center. It can be the belt or chain of data satellites. If one of those satellites is visible from a ground station all the time. That means the maintenance will not see any difference between ground-based data centers. And data satellites.  

The satellite. It can have a heat shield. And the ability to land safely. This means that those satellite swarms can recover their critical components. And that helps to find. If somebody tries to “steal” them. The orbital data center. It is a group of satellites. Those satellites can communicate with each other using lasers and radio communication. The system is similar to Starlink. The backups. And other things can be made into other satellites.

Or ground-based hard disks. When one satellite is jammed. That satellite will be replaced with another satellite. The operations with orbital computer platforms are the same as they are on ground-based systems. The people who operate the computers. They drive system updates into the orbital data servers. As they do for the normal ground-based data centers. The people who update and maintain computers. They must not have access to satellite trajectory controls. 

People who adjust satellite trajectories must not sit in the same room. There the compute operators sit. The same way as in every other data center. The maintenance crew can operate those systems remotely. Just like in every case on Earth. The remote operators don’t need to know where their server is located. They need to know how to make those updates. 

Brains might use different languages in external and internal communication.

Brains might not use natural language for logical reasoning. Or they don’t use language. That we can use in a verbal form. This means that the brain’s internal communication requires a different communication protocol. Than humans use in communication with other people. We can call those protocols languages. But logic doesn’t need a similar language. As we use in speech. Logic needs communication. And a way of communication. It can be different. But we can call that communication “language”. 

We understand natural languages as language. That we speak and write. But nature is full of languages that we cannot use in verbal communication. Things like hormonal and pheromone-based chemical communication. It's very common. Most of the neuron’s mutual communication is a combination of electric and chemical signals. So that means those communications. They are also natural. But the key component in information is this. Brains must have an ability to separate external and internal signals. 

Brains are very complicated structures. They contain many hidden neural networks and hidden layers. We know that only a small part of the brain's internal communication reaches consciousness. 

This raises an idea. That maybe humans use different languages to communicate with other people. Than brains use their internal communication. So could the cerebral cortex. The diencephalon and brainstem use different communication languages for internal communication. 

If the brainstem uses the same language for internal communication as the cerebral cortex. That could disturb the brainstem's internal communication. And that can cause death. The brainstem controls vital functions like blood pressure, pulse, and other things. In some models. The diencephalon has a mission. It is to translate brain signals from the cerebral cortex. To the brainstem. If those three brain layers use the same language. That can be hard. To separate the signals. And that can cause problems. 

When we expand this model. We can say that maybe all brain areas, including the cerebellum, have different languages. The cerebrum and cerebellum have different languages. But brain lobes like the frontal lobes and temporal lobes. They use different types of dialects. That helps the brain separate signals. That come from a certain area. And that helps to keep those signals in order. This is important. When. Brains make decisions. About the reactions to a certain stimulus. Every stimulus requires a different type of response. 

So. The use. Of different languages. In internal and external communication protects brains. 

It’s possible that all human brain areas use different types of language. If we want to use computing as a model. How the brain analyzes information, we must take note of. Computers have three types of programming code. The lower-level programming code. That code connects the hardware to software. The operating system level. And the highest part is the program. All three main layers are made using different types. Of programming language. 

Those three layers are meant for internal computer communication. The network communication uses other protocols and languages. Than the computer internal data flow. But then we can transform that model to the human brain. If human brains use different languages than humans use in communication with other people. That protects the brain from outside effects. In this model, information comes to the brain. through the brain area. That is reserved for a certain sense. When other humans speak. Data travels in the brain lobe. 

That handles those types of signals. Information travels to the Broca lobe. There, those neurons translate that signal into the form. That. The brain understands it. If humans. Use the same language for internal and external communication. That thing causes a situation. That other person can take another person under control. Because external communication is different. Than the brain's internal communication. Brains realize. That data comes from external sources. 

https://mcgovern.mit.edu/2026/07/06/separating-logic-and-language/

https://www.pnas.org/doi/10.1073/pnas.2520095123

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

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

https://en.wikipedia.org/wiki/Human_brain#See_also