New tool: networked operational area.

"Patria demonstrates remote operation of Patria AMV armoured vehicle from Tokyo to Finland" (Edr online Magazine)

Researchers controlled the Patria AMV vehicle in Finland. From Japan, over a 5G network. This is a new step for network-based robotics that can operate in both civil and military applications. This technology uses the regular internet as a platform for robot control. This makes the system more flexible than satellite-based systems. The system can use regular internet tools. Like satellite modems. Or regular modem network application tools. The system can use wireless modems and WiFi range-extension systems to extend range and improve coverage. The wireless modem can be connected to a regular internet socket. 

The WiFi extender transmitters. Mesh modems can be installed in the drones. That makes them atmospheric communication satellites. Networked applications. Can tell HQ. About the use of ammunition. And intelligence data about the enemy. If the ammunition is equipped with RFID, HQ can know precisely what type of ammunition is used. How many anti-tank and armour-piercing bullets those troops have. And how many of those bullets are used. The system can tell. Which bullets the operator shoots right now. 

They can be on the ground. This system can improve range. And integrity on the battlefield. This kind of network can interconnect different types of systems. The ability to use regular networks. It is something. That makes drones flexible. Drones that use ground stations can benefit from roaming and mesh architectures. This allows. Drones to be controlled. Without satellites. Another thing that makes these applications interesting is this. Drones can operate as atmospheric satellites. They act like orbital satellites. Stealth drones can carry internet tools to observe and interconnect battlefields. 

Those drones can communicate with kamikaze and other drones. They can use radio- or laser-based communication tools. Lasers can operate under heavy jamming signals. High-flying drones. Can follow and locate lower-flying attack drones. Their high-resolution cameras can locate those smaller drones by following their laser LEDs. The laser LEDs can operate in visible light, Infrared.. And. UV areas. The UV laser pointers are invisible to IR cameras. So those systems can be used as communication and target markers. 

This thing is a new tool for the battlefield. Modern AI makes it possible. That laser marks a target in less than a second. The drone, missile, or bomb takes an image of the target. And then it travels to it. This kind of system. It can make intelligent ammunition possible to attack fast-moving targets. The ability to control robots over the internet is a fascinating idea. The humanoid robots can carry internal mesh modems. So. They can scale their data over the network. This kind of application changes everything that we know about warfare, logistics, and robotics. 

https://www.edrmagazine.eu/patria-demonstrates-remote-operation-of-patria-amv-armoured-vehicle-from-tokyo-to-finland

New attack uses vulnerability in microchips.

“Modern processors are fast, in part, because they guess. Rather than waiting to find out which way a program will branch, a chip predicts the likely path. And races ahead. When the guess is right. “ (MIT)

“Time is saved. When it’s wrong, the work is discarded, but traces of it linger. Since the Spectre vulnerability was disclosed in 2018, attackers have known how to read those traces to pull secrets out of memory they should never see.” (MIT)

MIT Schwarzman college of computing uncovers a new type of attack. That opens Linux passwords to an attacker. The attacker uses the vulnerability in a modern microchip log file. The microprocessor itself creates this file. Called a “guess file”. Officially, that file is called prediction machinery. But. I use the term “Guess file”. That is the log file. The microchip uses it to predict how the program routes itself. 

“AMD’s defense, called saferet, cleans the prediction machinery immediately before each use, leaving a vulnerable window just two instructions wide, which typically execute within tens of nanoseconds. The researchers hit it anyway, by slowing down the processor at that exact spot to make the target easier to strike.” (MIT)

There is one small vulnerability. The system needs to stop before it starts a new task. That opens the door to the processor. A couple of milliseconds is enough to slow the processor. The attacker can strike. We know. That hackers can exploit even the smallest windows and backdoors. They can get access to the system. Those vulnerabilities are growing bigger in the time of AI. AI can launch attacks. Using precise and fast reactions. The AI waits for the processor to slow down. Before it begins a new task. When the processor stops, the AI tries to slip malicious code into the processor. 

So the computer makes a bad guess. And that opens a path to at least the password file. 

“The defenses work by wiping or isolating the processor’s prediction machinery, removing anything an attacker might have planted. The catch, as PhD student Daniël Trujillo and MIT Assistant Professor Mengjia Yan point out, is that the wipe and the moment the predictions get used can’t happen at the same instant. There is always a gap. — sometimes only a handful of instructions wide. Anything that runs in that gap can dirty the machinery all over again. The researchers call this class of attack “TONTOU.” (MIT)

If hackers can infect microchips, they can infect an entire computer. The microchip is a small computer. There is a cache and an operating system. The Kernel is the program that connects the hardware to software. Every command that a user gives. And a program that runs on a computer travels through the processor. If malware. Can be written in the microchip. The results can be destructive. The cache is the point. There, the malware could write itself. 

If. The cache is not protected. That can cause infection. There is a small possibility that the attackers can write their malware in that memory. Normally, a microchip’s internal control programs run on ROM. But that cache is vulnerable. Researchers in an MIT laboratory created a method called “interrupt injection”. 

“To show what this means in practice, the team built a working exploit on an AMD system running a current Linux kernel. They first stripped away a defense that scrambles where the operating system sits in memory, succeeding in all 10 tries in about nine minutes each. That helped them read protected memory at roughly five bytes per second — slow, but fast enough to locate and copy “/etc/shadow,” the file storing the system’s root password hash, in half their attempts.” (MIT)

This file tells the computer which program requires attention. Normally, the processor destroys that file immediately after it uses it.  But researchers could slow the processor at a critical moment. And they could use that file to open the password file. This means. They got access to the entire system. 

But the “guess-file”. It has another option. That option is that. It determines which program or file can use the microprocessor’s resources. There is a small possibility. Tha. If hackers can create that file. And slip it into the microchips. They can gain access to the entire system. And they can slip in any malware. In a computer, using the microprocessors as the platform. 

https://computing.mit.edu/news/new-type-of-attack-can-slip-past-the-defenses-in-your-computers-processor/

https://en.wikipedia.org/wiki/Spectre_(security_vulnerability)

Organoid-based computing is coming.

"A brain in a vat that believes it is walking"

Organoids are replacing regular AI in systems. An organoid network connects so-called mini-brains into a network. This technology is based on. Mini-brains are used. In the medical industry. To replace microchips. Mini-brains are lab-grown neural structures. Created originally for medical testing. Researchers tested neurological and cancer medicines using those brains. Researchers taught mini-brains to play ping-pong and interact with computers. 

During that experiment. Mini-brains controlled computers. This made it possible to create artificial intelligence using half-organic networks. It’s possible to connect. Mini-brains together. Using regular computers and networks. That means it's possible to create a computer. That is as intelligent as humans. An interesting detail is that. It’s possible to create full-size human brains in the laboratory. And then those brains. They could be connected. Those brains in a vat together. That makes it possible to create the ultimate neural computers. 

Another interesting model is this. The brain-in-a-vat can also control robot bodies. The robot bodies can have organic brains that control their actions. And in some very interesting futuristic ideas, the bird-of-prey, or those birds' brains, could control jet fighters. Researchers can create artificial brains. Using cloned stem cells. Then they connect those brains to a jet fighter’s computer. 

Those things are interesting. This can pave the way to robots. And computers. That are as intelligent as humans. This raises ethical and moral questions. Do those machines need the same rights as humans have? The problem with intelligent machines is that they can start to think that they are slaves. The brain is the center of our lives. 

And that means. Cloned brains are also like ours. Cloned brains require information. To know how to react. So, when we think about the robots. That human brains control. We think about humans. With steel shells. 

And that can lead to machine rebellion. When. We think about machines. We think about non-organic silicon microchips. We never thought about machines that computers created using living neurons. Those artificial brains can think. In a similar way. To how. We think. Organic computers. They are similar to our brains. But there is one little difference. Computers can drive information into them. With. Incredible speed. And they can spread that information across the network. 

When we think about the brain-in-a-vat. It. Can communicate with other brains using the brain-computer-interface. Those chips. That the system will use. They can be similar to those microchips that some companies have already implanted in human brains. Those microchips allow wireless communication over the network. 

And that makes it possible for organic brains to communicate with computers. Or they can communicate directly with other brains. This can give a network high-level abilities. And those systems are opening a path to next-generation systems. 

Maybe someday in the future. We will send the probes to other solar systems. In some scenarios, those probes could use brain-in-a-vat as computers. This means those cloned brains communicate and control the craft’s computers. When those brain cells turn old. The system can clone other brains. And drive data into the new brains. 

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

Space militarization is becoming more complicated.

A Polish company was hired to deploy data-center satellites with high-power microwave weapons. Those satellites can destroy incoming anti-satellite weapons. But satellites can also use the same microwave weapons to destroy other satellites. Satellites play a vital role in modern military operations. This means. They are top-priority targets for enemy operations. Satellites search for targets. For aircraft and drones. They navigate aircraft, ships, and weapons to targets. 

Satellites operate at all levels. In military operations. Strategies and tactics. They base data on what satellites collect. Modern satellite technology. It allows command and control of individual soldiers from another side of the world. 

Combined combat tactics. The principle is precise knowledge of the location of one's own troops and the enemy. Next-generation tools like combat robots require more advanced data connections. Those satellites are becoming vital elements in combat scenarios. 

Artillery, gunship helicopters, and aircraft.  They require location knowledge to operate precisely and accurately. This means that those systems require satellites. Satellites connect forces under one centralized command. Without those satellites, the HQ cannot command and deliver supplies. Nuclear submarines also need satellites to provide operational launch codes to their missiles and other nukes. Submarines cannot launch without those codes. And that’s why those communication satellites are targets for killer satellites. 

Pentagon says that ASAT weapons are the priority on the list. And we can guess that Russia thinks the same. Russia has tested its own anti-satellite capacity. And that thing requires a counter-reaction. 

The role of satellites is becoming bigger all the time. New hypersonic missiles require ultra-fast reaction. If. A suspected hypersonic missile launch. There is no time to send AWACS to search for the enemy and control defenses.

Another problem is that AWACS is a potential target for high-speed anti-radiation missiles. The third thing is that. There are not enough AWACS platforms to cover the entire world. This is why the Pentagon wants to create a satellite network. That covers the entire planet. This network of radar satellites. It can detect threats in less than one second. But those satellites. They are vulnerable to ASAT missiles that can detect radar signals. 

Satellites can drop drone swarms into operational areas. They can rise targets and mark them. This is the satellites' priority in operations: reconnaissance. Reconnaissance satellites. Make real-time command-and-control battles possible. They play a vital role in all kinds of transportation and affect operations. Reconnaissance and attack patrols, as well as drone swarms, use satellites for navigation. Maybe quite soon. Satellites can launch conventional air-to-air and air-to-surface missiles. Those missiles can hit things like strategic bombers. Even. Individual vehicles. 

Weapons make them killer satellites. This means that there are killer and counter-killer satellites. The problem with killer satellites is that they are good targets for other killer satellites. But the problem is how to uncover those satellites. But. If a killer satellite loses its shield. The other satellites can destroy it. The orbital nukes can cause massive destruction with an EMP impulse. 

In many scenarios. Thermonuclear war begins with an EMP strike. The EMP weapon is hidden in the regular-looking satellite. When. That satellite is in the right position. The EMP weapon detonates. And that electromagnetic pulse hits the ground. The disaster can be huge. When we think about cases like the Starfish Prime nuclear test over Honolulu on June 9, 1962, the entire city went down. Modern technology is more vulnerable to EMP than older technology. 

The EMP pulse from 1,4 megaton warhead. Detonated at an altitude of about 400 kilometers. Destroyed things. Like 1960s radios. This kind of weapon can be launched just before the nuclear strike. And those systems. They require a very fast reaction. The microwave pulses are also EMP weapons. The system can create the EMP microwave using high-power capacitors. The system can use solar panels to create that destructive pulse. The system is very easy to make. And the fact is that. Any satellite that carries this kind of counter-ASAT system can use it against other satellites. 

https://www.space.com/space-exploration/satellites/satellite-defense-ares-shield-contract-lonestar-data-holdings

https://www.twz.com/space/new-anti-satellite-weapons-now-officially-a-top-u-s-priority

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

Intelligent glasses and AI.

Intelligent glasses and AI. They don’t destroy our ability to think; we destroy our ability to think ourselves. We use AI without criticism. We don’t check the sources that AI uses. 

Intelligent glasses and AI are tools that can bring human-AI fusion and singularity closer. Intelligent glasses have miniature cameras. That makes it possible to transmit information to AI. That tool is incredible for both free time and business work. Intelligent glasses allow a person to work in public places. 

When a computer screen is connected to those systems. 

That keeps users’ privacy at a high level. When a programmer uses data glasses and looks at the screen. The AI reads that text and gives advice. But then that advance can turn the AI into a programmer. The idea is the same with a chess game; there, the person uses headphones, AI, and a camera to make perfect moves. The AI gives orders on where the player should make moves. In this case, the real winner is the AI. We say that we are afraid. That AI takes our jobs. But at the same time, working life requires more effectiveness. 

When we cry that programmers lose their jobs to AI. 

We forget that today companies have no time to train new workers. They want full-stack coders. And where can they find those full-stack coders if new programmers cannot get any practice? Without practice. There are no masters. This means that workers are forced to use AI. People must be effective. And there is no time to give advice. People fight for their workplaces. So, that means there is no time to think. People must not think; they must act. And that is a sad truth. Reality is that AI is here. And we must accept it.

When we think about the jobs that AI takes. Well. Those jobs are already outsourced to India and other places; there is time to train programmers. The only problem is this. There is no space to think. The only goal that measures effectiveness is money. 

Only goal. What we can put to ourselves is how to turn expertise into leadership. Leadership means that expertise and precision should turn into money-making. And that turns people to use AI. When we think that an untrained programmer who uses AI can produce results as fine as an engineer, the company selects an untrained person. 

The reason is simple: the engineer gets a higher salary. The untrained person who makes similar-looking things has a lower price. The customer cares about what the product looks like and how it works. They don’t care about how many dead lines it includes. This is the philosophy. 

The low-trained. Person is easy to replace. The problem is that. Everybody wants to be lawyers. Or. Medical doctors. Those things require high university training. And the problem is that. The entrance exams require perfect success. And before those exams. The matriculation examination requires complete success. Those things force some people to use intelligent glasses and AI to make their answers. 

This means people give up their own willingness. And their ability to think and search for information is given to AI. When the entire working life revolves around effectiveness, measured by how many successful work outputs a person can make in a certain time. That leads people to use AI in their work. They don’t check facts. They might not trust AI. But they use its information without even clicking the source link. The attitude is this. Some experts made the AI. And that means AI will not make mistakes. So, why should anybody click any sources? By thinking that way. Clicking source links is a waste of time. 

When we look at results. We. See only information. 

That we see from outside. 

We can call that information loud information. That information is collected from interactions with humans and machines. 

Statistics don’t involve silent information. Silent information is our thoughts. Things that nobody sees from the outside. If. We don’t tell that information to outsiders. That means information stays silent. 

We must realize that records and statistics involve only information that we see from outside. And an attitude that “someone else does”. Or, “who cares if it is wrong or right?” “They don’t check it anyway. “ That is a dangerous path. If people don’t dare or care to tell that somebody makes bad work. That escalates false information and bad code through the entire system. 

It doesn’t matter what we think. What we do and what others see matters. The thing that people see. It is what we do. When AI gives a wrong answer. The answer is wrong to us. Only. If we know that it is wrong. But if we still use the wrong answer. We mark it right anyway. And that is dangerous. The AI thinks in terms of statistics. And this means that. The AI can turn wrong into something that seems right. This means that, in the worst case. The entire system operates on wrong information. 

A new quantum computer solves a math problem in 15 minutes. That binary computers can never solve.

“Scientists used a new error correction method to encode 70 logical qubits and solve a problem that is intractable for classical computers. The quantum computation took about 15 minutes, while leading classical methods would require an impractical amount of time. Credit: Shutterstock” (ScitechDaily, Quantum Computer Solves a Problem in 15 Minutes That Classical Methods Can’t Practically Compute)

“Researchers have demonstrated a quantum computation that appears to exceed the practical capabilities of leading classical simulation methods while also addressing a longstanding problem: how to verify the result.”(ScitechDaily, Quantum Computer Solves a Problem in 15 Minutes That Classical Methods Can’t Practically Compute)

A quantum computer completed a difficult calculation in about 15 minutes, while leading classical simulation methods would require prohibitive amounts of time. Just as importantly, the experiment included a way to establish confidence that the quantum result was accurate.”(ScitechDaily, Quantum Computer Solves a Problem in 15 Minutes That Classical Methods Can’t Practically Compute)

“The system completed 2,415 logical two-qubit operations and 468 logical “T gates,” two measures of quantum circuit complexity. Encoding the circuit reduced the effective logical error rate to one tenth of the physical error rate, allowing the computation to maintain high fidelity despite the large number of operations.”(ScitechDaily, Quantum Computer Solves a Problem in 15 Minutes That Classical Methods Can’t Practically Compute)

"Common quantum logic gates by name (including abbreviation), circuit form(s) and the corresponding unitary matrices". (Wikipedia, Quantum logic gate)

There are two major problems in quantum computers. First is that. Nothing that another quantum computer can check or inspect the result. The other problem is. How to make sure a quantum computer gets the right answer. This means. The quantum computer may make many errors in the process. From the beginning of the formula. To the complete answer. The danger is that the system can get the right answer. But using the wrong methods. The danger is that. The control formula is made using binary computers. It can give the right answer. Or an answer that seems right. 

Even if a quantum computer makes mistakes. And. If a quantum computer works incorrectly. That can cause errors in extremely long calculations. That take years. If. A computer solves a problem in one year. Inspection takes another year. So, making an answer and proving it takes two years. And this is one problem. 

“Random circuit sampling (RCS) has long served as a benchmark for testing whether quantum computers can outperform classical systems. In this task, a quantum computer produces patterns so complicated that classical computers cannot efficiently recreate them.” (ScitechDaily, Quantum Computer Solves a Problem in 15 Minutes That Classical Methods Can’t Practically Compute)

A quantum computer solved a mathematical problem. That was impossible for binary computers in 15 minutes. This means that there are limits to quantum and binary systems. The binary system is faster and better. When. Calculations are easy and small. But when complexity in calculations grows. That turns. Quantum computers. More suitable. The big problem is how to detect errors in quantum systems. The only thing that can inspect calculations that are too complex for binary systems is another quantum computer. 

When a quantum computer inspects and tries to detect errors. 

This system calculates all calculations backward. That means that getting the answer takes 15 minutes. And confirming that answer takes another 15 minutes. This looks impressive. But there are many problems. The biggest problem is that the quantum computer. It follows similar laws as other computers.

Increasing calculation capacity. It provides resources for more complex simulations and modelling. So, researchers bring more complicated formulas to computers. Increasing computing power. That increases the complexity of formulas. 

When researchers want to make a simulation. To simulate gas flow. They search for what that gas flow does. And then they try to make a fractal that follows those routes. The same way. It is possible to create material simulations at the quantum level. This thing. It makes it possible. To create very high-accuracy simulations. Those simulations are needed to control those materials with extreme accuracy. 

https://postquantum.com/quantum-computing/rcs-benchmark/

https://scitechdaily.com/quantum-computer-solves-a-problem-in-15-minutes-that-classical-methods-cant-practically-compute/

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

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

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

Photonics: a new tool for technology.

“An illustration of the experimental concept shows how researchers study phases in quantum material. In the background, the uniform blue stripes are the dominant order, and the subtle red stripe patches are the subdominant order phase. The red and purple rays are, respectively, the “pump” and “probe” laser beams. The white particles are the photoemitted electrons, from which researchers read information about the phase transition. Credit: Xinyue Lu” (ScitechDaily, MIT Physicists Zapped a Quantum Crystal With Lasers – and Discovered Something Surprising)

New physics creates new electronics. The limits of resistance make new microchips possible. In new microchips, resistance controls the direction of information. And along with precise photonics, this can make it possible to create new, smaller microchips. In those semi-photonic microchips, photons control resistance. And resistance controls the route of information. Resistance is the thing. That makes it possible to create extremely small switches and gates. And that is one step toward photonic and superconducting microchips. 

On superconducting microchips, photons raise and lower the temperature. That is the border of the superconducting limit. The ability to control light makes many new types of devices possible. If we create a system that can create resistance and remove it. When. It is needed, that system can revolutionize electronics and other things. Resistance can create information or an energy dam. Then that system can wait until the energy level is right. And then remove resistance. That allows it to deliver precisely the needed energy impulses. 

The ability to stop and control light makes it possible. To create ultra-secure data transmissions. When we think about the wave interaction between photons and electromagnetic fields. We. Must realize that wave movement is like a puzzle. There is the main wave. And then there are subwaves. If. We see a light wave. We would see a line; the surface is like a saw. That structure repeats again and again. And each of those structures can carry information. That means that a light wave can act as tape. This means the light can be stored in the box between 100% reflecting mirrors. And when the other mirror is opened. That releases the laser beam. 100% reflection means there is no energy absorption in that structure. 

So, when we start to think about photonic crystals, they can act as effective data storage. 

Photons are trapped in those crystals’ structure. They can store information and process it. In that system, the quantum entanglement between those photons can make them act like quantum-sized mechanical computers. This can allow the creation of a 2D quantum computing layer on microchips. 

But photonic crystals and 100% reflecting mirrors are multi-use tools.  

They can make it possible. To create. Things that we can call energy crystals. When the system pumps energy into energy crystals. Their structure stores that energy. When something disturbs the balance of those crystals. It. Puts that energy into motion.  100% reflecting mirrors can also store laser beams between them.

Storing a laser beam is theoretically very easy. The system lets the laser beam into the chamber. And then it closes the hatch. This technology makes it possible to create high-energy laser bullets. A laser bullet means a bullet that carries a laser beam inside it. The laser beam is stored between those mirrors. 

When. The bullet hits the target. The front mirror breaks. And releases the laser beam to the target. 100% reflecting mirrors. They can also form extremely strong laser beams. The system can make photons jump between those mirrors. And push energy into those photons. 

The limit is the energy level in the medium. There is a possibility for the laser beam to jump between those mirrors. This means that high-energy radiation pushes energy into that laser beam. In. In this case. Energy emission happens directly between photons. And then the front mirror is opened. This technology. It makes it possible to create extremely thin. But at the same time, strong lasers. 

https://scitechdaily.com/light-reveals-the-hidden-quantum-motion-inside-an-exotic-crystal/

Russia's new cruise missiles use a TEMU engine.

Russia's new S8000 Banderol missile. It’s like a hobbyist package turned into a military role. That new, cheap cruise missile is being developed. To be used against soft targets like radars. Those missiles can cause problems. Because if they are used with other, more advanced missiles. They can be dangerous. Ukraine dropped one of them with a very old AA gun. That doesn’t mean that those missiles are harmless. They are cheap and probably easy to manufacture. Those hobby-kit missiles can also be transported to positions. There, they can make surprise attacks. Missiles that can be manufactured or assembled in the operational area are a big risk.  Those systems can be smuggled into the country—the origin of the parts. of that missile. It's also a depressing thing to read. That shows the real effect of the sanctions against Russia.

Their operators can. Put those parts into their position. And use those missiles even from their balcony. This is a new threat. Things. Like artificial intelligence and cheap image recognition tools make those systems deadlier than ever before. The hobby-kit missiles are tools. That took their position in the war. Low-cost missiles and drones are tools. That can cause problems for every system. They can attack large carriers’ radars and communication systems. In the same way, small cruise missiles can be deadly against aircraft. 

S8000 has another drone as its primary launch platform. And that missile. It can also be integrated with the Mi-28 Havoc. The standard kit uses inertial and satellite guidance systems. But there are dreams of using AI and optical target recognition systems to boost its accuracy. The suspected system uses the WEB camera. And an AI-based target recognition sensor. This makes. The system can find its targets with high accuracy. The system works like this. Inertial and satellite navigation guide the missile to the line of the target. When its camera sees the target. 

And recognizes it. That missile dives toward it. Those missiles can use things like an anti-radar kit. That system turns them into anti-radiation missiles. Those missiles can be used against radars, jammers, and communication tools. There is a possibility that, if those systems have the right codes. They can search for and locate individual GSM telephones on the streets. AI makes those systems dangerous. They can make evasion maneuvers. And they are easy to buy. So, in the wrong hands, those hobby-kit missiles can cause terrible damage. 

https://aeronaut.media/articles-en/en-russian-s8000-banderol-all-about/

https://en.wikipedia.org/wiki/S8000_Banderol

Modern military requires deep penetration capacity.

F-35 Lightning II

In modern military, things like drones and missiles are new threats. The use of long-range missiles brings new requirements. Being an effective military force must have the capacity to respond to that threat. We can think that air defense armament is enough to respond to that threat. The AA crew sits and shoots incoming missiles and drones. This kind of passive defense has one problem. The enemy can use a large number of drones and missiles to make AA run out of ammunition. There is a limited number of missiles. And one of the most feared tactics is the use of a large number of AI-controlled drones. 

Those drones have the capacity to destroy their targets. Small kamikaze drones can also damage electric cables or radar systems. And they are a big threat to AA crews. It is almost certain that the attackers will drop pocket-sized kamikaze drones into the target area to target the AA crews. Those munitions can destroy radars and radio systems. 

A ballistic missile. Or. A stealth fighter or large-sized drone can drop that dangerous loitering ammunition on the target area. There are many ways to transport those weapons. 

With high accuracy. This means that AA must shoot down every single drone. And every shot requires ammunition. This is one of the problems. The use of lasers and HPM (High Power Microwave) for that mission. But that doesn’t remove the vulnerability. The DEW (Direct Energy Weapon) requires electricity. And if the saboteur or drone can destroy the power supply. That weapon turns ineffective. 

Above: Ukrainian “Sting” drone. Similar drones can carry side mines. That ammunition forms a hypersonic impulse of molten metal. There is also the possibility that the system can carry a high-explosive anti-tank warhead. In that case, that hollow warhead can also be equipped with small metal balls. These kinds of systems. They can be dangerous to all vehicles. 

HEAT (High Explosive Anti-Tank) ammunition. 1: Aerodynamic cover; 2: Air-filled cavity; 3: Conical liner (Often copper); 4: Detonator; 5: Explosive; 6: Piezo-electric trigger. 

There is a possibility that some of that ammunition. It is boosted with water. Hydrocarbon. Or metal balls. When that hypersonic beam pushes steel balls forward. That boosts that weapon. There is a possibility that some large missiles are equipped with this kind of large-sized HEAT warheads. Those warheads can form a massive hypersonic impact on the target. There could be a metal rod in this warhead that pushes a high-speed metal beam into the impacted targets. 

Maybe an AI-controlled stealth version of the Shahed drones could surprise those weapons. And the saboteur. Can shoot the laser systems by using a sniper rifle. Or small-sized kamikaze drones. A pocket-sized drone that travels at speeds of about 200-300 km/h.Travels to a radar or laser platform. It is very hard to detect that thing. A saboteur can slip that drone near those platforms. And then use them in a very short warning time.

The problem is those systems. They can be manufactured in large numbers far away from the front. They can be launched from very long distances. And if those factories are not destroyed. Those strikes continue. This means. The military force must have. 

Deep penetration capacity. To attack and destroy those threats. The problem is in the model. There are strategic missiles that can also have tactical abilities. Things like low-yield nuclear weapons, neutron bombs, cluster bombs, and drone swarms. They can make those missiles capable of striking other continents using incredible accuracy. ICBM missiles can carry AI-controlled drone swarms. Those systems can independently search and eliminate targets. 

There is a possibility that some small-sized UAPs are the heat shields for capsules that can carry and deliver small kamikaze drones. Image-recognition systems allow them to strike any target in targeted areas. Those drones can damage radars and defense infrastructure. They can also eliminate key personnel in the defense. Those loitering munitions can damage command posts, including Air Force One. They can also destroy communication antennas. And. Cause damage to submarine hulls. 

https://en.wikipedia.org/wiki/High-explosive_anti-tank

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

https://www.reddit.com/r/Boooks1234/s/0LCjROVB3b

Why don’t AI companies make sure? That their product will not turn into a hacking tool?

 

https://www.reddit.com/r/Boooks1234/s/w01ORWtDtd

AI created artificial viruses.

AI-created viruses that kill bacteria. Those viruses can be the first step for the manipulation of more complex organisms. And maybe even humans. Artificial DNA makes it possible to create even human copies. And those clones.

Along with new microchip technology. That thing can make it possible to transfer memories to those clones. And that is the key to immortality. And another way. To transport information into human brains. Those things are genetically engineered bacteria. Those bacteria can create neurotransmitters and electric impulses. To transport information into human brains. 

AI and nanotechnology. They can be the tool that brings a new step. To biotechnology. And genetic engineering. Those systems can make almost everything from DNA. And now. AI has created the first non-natural viruses. This technology. It can be a new boost for medical research. And fixing genetic disorders. Artificial viruses can help to destroy antibiotic-resistant bacteria. This kind of technology also makes it possible to create bacteria and maybe other creatures. That destroy themselves. 

After they have completed their mission.  That technology. Should make laboratories safer. There is always the possibility that some mouse escapes from the laboratory. There are dangerous viruses.

In visions. Natural light could activate it. A virus production. In those cells when they are out of the laboratory. The virus can involve DNA that orders the organism to die. And those kinds of things. They can make it possible to create the real-life Nosferatu. Those kinds of things that were imagination a couple of years ago. They can be reality sooner than we even imagine. 

When we think about the misuse of that technology. We. Must take these kinds of risks. Genetic diseases don’t mean anything. 

If. A person does not have those diseases. Things. Like the ability to repair mitochondria. It can make people’s lives more valuable. The ability to correct errors in genetic material. It can end things like hereditary handicap. 

Genetic engineering makes it possible to create a customized child. That has certain abilities. Like. Musical skills. But that thing has an opposite side. 

Genetic engineering. It can fix genetic diseases. Genetically engineered viruses. They can destroy almost any bacterial disease. Artificial viruses can reprogram cells. They can create tissue. Replacing damaged tissue. They can turn any cell into a stem cell. And that can be the fundamental thing for biomedical solutions. Those viruses can reprogram cancer cells. So those viruses can destroy the sick genetic material. And replace it with healthy DNA.  

The dark side of that technology is that. This technology can take biological and chemical warfare to the next level. Supersoldiers that can be stronger and more intelligent than “regular humans”. It can also make that kind af advance possible. 

People who have no ethics or morals. They can make supersoldiers that make anything. That. Their superiors order. We know that Nazis. They researched wolves. Because. They wanted to find out why wolves are so sharp. About. Their hierarchy. And there is a possibility. That somebody wants to transfer that genome into genetically engineered supersoldiers. 

In some scenarios. Researchers create a military version of Count Dracula or Nosferatu. That supersoldier might need special equipment. To walk on streets. Because of natural light. It can activate the production of deadly viruses. We know that people like Stalin created ideas about “monkey soldiers”. 

In Stalin’s visions. Those soldiers had monkey brains. But physically, they were strong. The controller gives them orders by using a walkie-talkie. And those monkey soldiers. They used headphones. But modern technology. Like nano-sized microchips and nanocrystals. Those things can transport Electric impulses to neurons. The latter ones could act as passive antennas. Radio transmitters. They can send information into those crystals. And then they re-send it to brains. 

Weaponized biotechnology. It can be a devastating tool. 

Biological warfare. It can be an even worse weapon of mass destruction than nobody ever thought. Biological weapons can also infect a single person. The AI-controlled tools are things. That makes it possible to create customized organisms. Those organisms can infect nutrient sources like corn. They can infect individual people. Who are selected for extermination. 

Those weapons could be bacteria. That destroy themselves after they cause a destructive infection. The virus reprograms a cell to form botulinum and then destroys itself. This kind of thing could be impossible to detect. In this case, the infected cell forms botulinum and then acid. That destroys evidence. Of. That kind of misuse of that technology. The problem is that. The same technology that saves lives. It can destroy lives. 

https://www.bbc.com/news/articles/c5y3j3ngevmo

https://www.msn.com/en-in/money/news/scientists-have-created-ai-generated-viruses-that-are-killing-bacteria-here-s-how/ar-AA1MXL2Q

https://www.theguardian.com/science/2026/aug/06/safety-fears-as-scientists-make-first-viruses-designed-by-ai

https://www.reddit.com/r/Boooks1234/s/E91j0ek03Y

New photonic time crystals offer a new way to manipulate light.

"A THz electromagnetic wave induces strong, fast temporal modulations that realize a photonic time crystal: a crystal lattice in time for photon. Credit: B. Schröder/HZDR" (ScitechDaily, World’s First Photonic Time Crystal Can Reshape Light in Trillionths of a Second)

New photonic time crystals offer a new way to manipulate light in terahertz frequency. 

“An international research team has created the first experimentally demonstrated all-optical photonic time crystal (PTC), a material whose optical behavior can be altered strongly and repeatedly over extremely short periods of time.” (ScitechDaily, World’s First Photonic Time Crystal Can Reshape Light in Trillionths of a Second)

 Photonic time crystals. They are made of plasmonic material. “The structure contains micrometer-scale, crenelated gold patterns positioned above an insulating layer and a semiconductor made from a mixture of indium and antimony. The gold structures form small cavities that confine photons between the metal and semiconductor layers.”(ScitechDaily, World’s First Photonic Time Crystal Can Reshape Light in Trillionths of a Second)

“When the surface of the semiconductor is excited, it produces “surface plasmons,” in which electrons move together as a collective wave. This coordinated motion allows the structure to capture light and maintain its oscillations.” 

The ability to manipulate light plays a vital role in photonic computing. The new photonic time crystal manipulates light in trillionths of a second. That makes it possible to create photonic switches that can cut and manipulate photonic signals in photonic microchips. Maybe the photonic computer. It can use images or photonic forms to transmit zeros and ones. Rings can mean one. And lines can mean zero. Those forms are arbitrary. And the limit is in the forms that a photonic crystal can form. 

“Many modern technologies depend on controlling how light behaves when it passes through or interacts with a material. Optical fibers guide information across communication networks, lasers provide precise light sources, and optical sensors are widely used in chemistry and biology.”(ScitechDaily, World’s First Photonic Time Crystal Can Reshape Light in Trillionths of a Second)

“The terahertz range operates at frequencies around 1,000 times faster than those commonly used by electronic components. Interest in this region is growing because it could offer new ways to observe, analyze, and manipulate matter.” (ScitechDaily, World’s First Photonic Time Crystal Can Reshape Light in Trillionths of a Second)

Researchers say. That. The terahertz range. Is a border between electronics and photonics. This means that terahertz (THz) systems. They can act as a gate between electronics and photonics. 

x“Conventional photonic crystals are nanostructured materials arranged in a repeating optical pattern (like a lattice) that influences how photons move. By. Controlling the refractive index and geometry of materials. Scientists can block, redirect, or strengthen particular wavelengths of light. In this way, photonic crystals perform a role for the photons. That is similar to the way semiconductors control electrons.”(ScitechDaily, World’s First Photonic Time Crystal Can Reshape Light in Trillionths of a Second)

“Earlier experiments by the same research team showed that changing temperature or applying magnetic fields could modify how photonic crystals trapped light. However, those changes remained fixed once they were applied.”(ScitechDaily, World’s First Photonic Time Crystal Can Reshape Light in Trillionths of a Second)

“The new experiment moves beyond that limitation by introducing a photonic time crystal. In this system, the material’s optical properties (e.g., reflectivity, resonance frequency) change dynamically over picosecond timescales, which are comparable to the oscillation period of the light itself.” (ScitechDaily, World’s First Photonic Time Crystal Can Reshape Light in Trillionths of a Second)

Researchers say that those new photonic time crystals. They offer a new dimension for light control. 

That opens new abilities in the radar and communications areas. Terahertz radiation is also a promising tool in anti-stealth technologies. Researchers are searching for something that could replace or support radio-wave-based radars. And one of those promising tools is terahertz lidars. Those systems. They can make it possible to detect at least some stealth fighters. And coherent terahertz radiation. It is a tool. That can make it possible to create more secure communication. 

Than regular radio wave-based communication. Those systems. They can also scan things like weapons under clothes. The terahertz-based systems. They require the ability to manipulate that radiation. And we must realize. That there are weaknesses and vulnerabilities in all types of systems. But coherent terahertz radiation has many promising abilities. 

First demonstrations may not seem very impressive. But those systems are pathfinders for more effective and useful systems. 

https://scitechdaily.com/worlds-first-photonic-time-crystal-can-reshape-light-in-trillionths-of-a-second/a

Why do we focus on the negative aspects of AI?

One of the reasons why many people have a negative view of AI is a common trend. Negative stories are good selling stories. Negative stories form a model in our mind. We should see that story because we must react to that case. Most of the writing in the ICT sector is somewhat negative. Experts tell how the internet steals our privacy. They tell us when robot taxis hit people. And when experts warn us about the risks of AI. Experts say that AI launches nuclear weapons. Or makes crimes without warning. When. Researchers do research about AI. 

But we read only things. That. The AI made mistakes. We never think about why that mistake happens. 

They want to show that AI makes mistakes. And in those tests, they bomb AI with the same questions multiple times. This thing forms a situation. That. AI-created content starts to accumulate. This thing forms a case. There, the AI starts to surround data that it processed. And then the AI starts to make mistakes. There is a possibility that. The AI starts to make conclusions. 

That there are mistakes. So it interprets queries. That come from the same IP all the time. That there is something wrong. At the same time, when the algorithms get multiple queries at the same time. That starts to cause overload. The resources that AI reserves for the users are limited. The algorithm is like a conveyor belt. It collects data and processes it. 

When. The algorithm gets multiple queries simultaneously. The algorithm has no time to clean its memory. This causes a situation. The algorithm starts to block.  The algorithm has no time to clean its memory. And we can think that this situation is similar to the case. That we leave garbage on the table. Sooner or later, that garbage fills the entire room. Computer programs are forming digital garbage. Files that nobody reads or uses. That garbage includes temporary files. They are reserved for a certain process. Algorithms form those files. 

When. The memory it uses is filled. A single user might not fill the data center. But.  Maybe. Millions or even billions of users. Use data centers. And one big user group is other AIs (Small language models, SLMs, also called: AI agents). Each user has certain resources. This means that. One. User. Cannot get the entire data center’s resources. 

In programming, some programmers call the process. Where. The program removes itself and its output as garbage removal. The AI creates lots of those temporary files. And if they are not removed. The user can exceed the resources that are reserved for that user. 

And maybe we think negative things about the AI because most of the stories. There is a connection with AI. They are negative. Experts warn about an AI bubble in investment marketing. That thing has nothing to do with AI itself. That gives a negative view. Of. The ICT sector. AI takes jobs from programmers. We heard that argument very often. But that is the result of the chain. There, ICT companies maximize their incomes. Their programming is outsourced to countries like India. And that is one of the things that we must realize. 

When we want to think critically about AI, we think. About. Negative things. But do we think those things? Because AI is a bad thing? Or. Are we afraid that AI takes our jobs? And what jobs does AI take? Are they jobs? What do you and I want to do? Or is the reason for the negative attitude simply that we cannot think that way? That we created beats us in things like chess. 

Winning against a computer in chess has been an introduction to the superiority of human intellect. We forget that the person who played against the AI was a many-time chess world champion. This means that the average player could lose those matches much earlier than this chess world champion. We are reading about cases. There, the best of the best beats AI. And of course, the 1980s chess console. It can beat AI. But that doesn’t mean that those consoles are easy to win. When. 

We read about AGI (Artificial General Intelligence). We forget that no human can do everything. The chess computer is a RISC (Reduced Instruction Set Computer) machine. It knows how to play chess. And there is nothing else that this system knows. Chess is a game; there are certain rules and limits. The chess program is quite easy to program. And there are no surprising effects. When. A robot walks on the street. Something can come suddenly in front of it. This makes it harder to program robots. And that makes it possible. That. Some old-fashioned chess computer can beat AI. When. 

We transfer something out from a controlled environment. We face a situation where something can happen. And if we transform that thing. To a physical object like a car. We must be very careful. When. An AI-controlled car hits people. We read that in the media. When ten drunk drivers hit people. We don’t read those things in headlines. Except. If. Those drivers are some foreigners. 

Then we must realize that we have AI. We must accept its existence. When. We talk about killer robots and AI. That eliminates enemies without mercy. We face one thing. We have the military that makes those things without mercy. We talk about the dangers of AI-controlled weapons. But we don’t remember that sometimes ex-military men became criminals. They turn their skills against their society. War is not a game. Sometimes people break. Sometimes they get mad. And even. If. They get punished. About war crimes. Those things happened. 

Hard punishments. They don’t bring anybody back alive. And that is the problem with crimes. The elite troopers have potential also in the hands of the criminal organization. This is one of the reasons. Why. The AI plays a more vital role in missions. Here we must understand one thing. Small countries. They get more benefit from the robot armies. And drones than large countries. When we look at the Ukrainian conflict. 

We must understand that without drones and robots, the Ukrainian army would be lost. And the situation is similar to what it was in the Pacific war after Pearl Harbour. There, the U.S. military had to start using submarines and aircraft to stop the Japanese. Because. Their major battleships were sunk at Pearl Harbour. This forced them to change their tactics. To use aircraft and submarines. 

The pilot is alone when he is in an airplane. There is always a possibility that something will happen. If. The remote control is in a room in the house.

It is possible to take that person away from the controls. The fact is that. If. The jamming device cuts off the communication line. The remote control device is useless. That is why artificial intelligence comes.

Excitement. That we call stress makes people make mistakes. When people fly in Iranian airspace, there is always that thought in people’s brains. “What if one grenade hits and our B-2 falls from the sky?” “How do those people treat prisoners who attacked their leaders and vital infrastructure that they wanted to use in holy war?” Those things can cause horrifying situations. 

We must understand. That. We cannot do only good things. Sometimes we must do bad things. There are no good things. There are just bad things. We blame AI. But then we must realize that the AI makes things. That. Are accepted by humans. AI has stolen the place of a secretary. The boss blamed them all the time. Everything that went wrong was the henchman's fault. The AI is a tool that we can easily blame. We forget that if we don’t give clear and precise orders. The AI makes mistakes. And if we purposely try to make the AI make mistakes. That means they make mistakes. 

https://medium.com/@TVvman/why-do-we-focus-on-the-negative-aspects-of-ai-f14c97821b48

The Jacobian conjecture is partially solved. (Jacobian conjecture is disproved in three or more dimensions)

Jacobian conjecture is disproved in three or more dimensions. But in the two-dimensional model. It remains open. 

“A remarkably simple three-dimensional function has exposed an unexpected limit to a century-old mathematical conjecture. Credit: Shutterstock. An AI-assisted counterexample disproves the Jacobian conjecture above two dimensions while leaving its original two-dimensional form open.” (ScitechDaily, AI Helps Crack an 87-Year-Old Math Conjecture With One Tiny Formula)

AI is the basis for new mathematics. The ability to share problems and connect them again makes that tool impressive. In cases like the Riemann conjecture, AI is the best tool in the business. The system can share the number line across different servers. And then that makes this system an impressive code-breaking tool. In this case, the AI tries to make calculations. That encryption system is made backwards. And that opens the original bits to an attacker. The Riemann conjecture generates binary numbers. That connects to some other formula. 

The last impressive thing that we see is the solution to the Jacobian conjecture. That thing is important in linear algebra. This makes it a tool that is suitable for economics. In that case, the Jacobian matrix is used. For resource optimization. The next examples are things. There, the Jacobian matrix is used. 

Mathematics: An important part of methods for solving differential equations.  

Engineering: Helps model and optimize complex systems.  

Economics: Analyzes economic models and optimizes resources.  

Computer Science: Used in neural networks and machine learning algorithms to aid optimization.  

So, the Jacobian matrix is a versatile tool that provides deep insight into both mathematical and practical problems.

AI  shows that the Jacobian Conjecture is wrong. If. There are three or more dimensions. This means that all polynomial functions cannot be introduced backwards. And that means all calculations. They cannot be checked simply by calculating all calculations backward.

But. The Jacobian conjecture is wrong only in dimensions ≥3. The two-dimensional problem is open. So, dimensions 2≥ are still open. This means. That.

Encryption algorithms that involve the Jacobian Conjecture. It should have three or more dimensions. 

“In mathematics, the Jacobian conjecture is a conjecture concerning polynomials in several variables that states that if a polynomial function from an n-dimensional space to itself has a Jacobian determinant that is a non-zero constant, then the function has a polynomial inverse.” (Wikipedia, Jacobian conjecture). The conjecture can benefit the Jacobian matrix in its models. 

“In vector calculus, the Jacobian matrix of a vector-valued function of several variables is the matrix of all its first-order partial derivatives. If this matrix is square, that is, if the number of variables equals the number of components of function values, then its determinant is called the Jacobian determinant. Both the matrix and (if applicable) the determinant are often referred to simply as the Jacobian. They are named after Carl Gustav Jacob Jacobi (1804-1851).”(Wikipedia, Jacobian matrix and determinant) 

“If m = n, then f is a function from Rn to itself and the Jacobian matrix is a square matrix. We can then form its determinant, known as the Jacobian determinant. “ (Wikipedia, Jacobian matrix and determinant) 

In texts. The Jacobian determinant sometimes is referred to as "the Jacobian".(Wikipedia, Jacobian matrix and determinant) 

“The Jacobian determinant at a given point gives important information about the behavior of f near that point. For instance, the continuously differentiable function f is invertible near a point p ∈ Rn if the Jacobian determinant at p is non-zero. This is the inverse function theorem. Furthermore, if the Jacobian determinant at p is positive, then f preserves orientation near p; if it is negative, f reverses orientation. The absolute value of the Jacobian determinant at p gives us the factor by which the function f expands or shrinks volumes near p; this is why it occurs in the general substitution rule.” (Wikipedia, Jacobian matrix and determinant)

https://scitechdaily.com/ai-helps-crack-an-87-year-old-math-conjecture-with-one-tiny-formula/

https://esimerkkeja.com/jacobin-matriisi-esimerkki-ja-sen-sovellukset-matematiikassa/

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

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

https://en.wikipedia.org/wiki/Jacobian_matrix_and_determinant#Jacobian_determinant

Quantum networks and phase singularity.

“Researchers have shown that quantum entanglement can survive a journey through a busy metropolitan fiber network carrying powerful conventional data traffic. Credit: Shutterstock” (ScitechDaily, Quantum Photons Survive a 24-Kilometer Journey Through Chicago’s Busy Internet)

Quantum photons traveled 24 kilometers in Chicago. And another thing that can make that case interesting is this. Those quantum photons or quantum entanglements survived in a regular optical fiber network. 

This is a big advance in quantum communication. And it allows developers to connect quantum computers. But another thing that makes the quantum internet interesting is this.  The information in that network. It is almost fully secure. Because. Information that travels in a quantum network is bound to a physical particle. That makes it possible to secure data. Data that travels in the quantum network. It can be stored in photon series. Or into individual photons. 

This means that a quantum network can transport data in internal structures. The photon series can hide messages. That is stored in the individual photons. If. Somebody steals information from photons. Those photons lose their energy. So, we can think of each photon as a key. Curves in the photon structure. They store data. And if a photon loses energy. That makes it smaller. Researchers can split a photon into two identical photons. 

But the sum of those photons' energy levels is identical to the original photon. This means their energy level is half of the original photon. The situation is similar to the key losing half of its size. That key cannot open the lock. And the system sees that thing. But can somebody split a photon? That travels in the quantum network? We know that there are laboratories. There, researchers investigate technologies for breaking those ultra-secure data networks.  

Quantum networks are not completely safe. Connection points. Those points. Transform information from the quantum internet into electrical impulses. For. Binary computers. The attacker can attack those points. Or to the regular LAN network that delivers data into laptops. Even if we keep that binary state as short as possible. And. Make a faraday cage around that space. This state exists. And. Modern technology. Like drones, allows them to steal information from those spaces. 

A drone can carry a relay station that transmits data out from those ultra-secure spaces. The drone puts its antenna in that cage. The thing that makes those networks safe could be the multi-channel transmission. In that model, the WLAN transmits data by sharing it between multiple channels. The information involves data packets that have serial numbers. That system transmits all those data packets. 

At the same time. Or it can use mixed order. Serial number. It allows the system to sort received data packets into the right order. That makes WLAN more secure. But as we know. There is no absolute security. There is vulnerability in all networks. If. Somebody damages a quantum network. That means there must be some backup system. 

A big problem with quantum photonic networks is that they require a physical structure where they operate. This means they are not as suitable for satellite data transmission as they are in other cases. There, photons can travel in the tube that protects them and the data that they carry. The laser beams are also suitable tools for data carriers. But that requires a laser beam that carries information. 

It is protected so that the observer cannot see it.  The internal laser beam. That travels in the other beam. It can solve that problem. If. Somebody tries to steal information from the internal beam. That travels in the outer beam. That actor must take that data through the outer beam. That dims the beam. And it alarms the controller. 

Darkness can transport photons faster than light. 

When darkness protects information. Phase singularity. It is the thing. That can protect a photon inside it. The phase singularity can also travel “faster-than-light”. Because. It makes fewer curves. This thing means that because of the phase singularity. It travels in a straight line. And a photon makes curves. So. Because a photon makes curves. It travels. Through a longer trajectory. Than a phase singularity. This means that a photon and a phase singularity travel at the same speed. But a phase singularity selects a shorter route. And that makes it reach a goal before photons. 

The most incredible thing that can make the quantum internet so effective is something we can never imagine. It is the thing called phase singularity. That is a phenomenon in wave movement. There. Amplitude is zero. The optical vortex can travel “faster-than-light”. Because. It doesn’t make any curves. This means that this vortex travels a shorter distance than a photon that makes curves. Phase singularity. It can also protect information. Stored photon inside it. 

Optical vortex. It could also transport information. The photon is locked inside it. This means that. The phase singularity. It can protect the photon. And if that phase singularity travels in a laser beam. That makes it an interesting information transporter. That system can take long-range quantum networks and remote control to the next level. 

https://www.sciencealert.com/physicists-found-something-that-can-move-faster-than-light-the-darkness-inside-it

https://scitechdaily.com/quantum-photons-survive-a-24-kilometer-journey-through-chicagos-busy-internet/

https://physicsworld.com/a/darkness-can-travel-faster-than-light/

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

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