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