AI forces us to rethink what “thinking " means.

Sometimes people say. That we cannot ever make an artificial general intelligence, AGI. The argument is this. No human can do everything. So, because there is no general human. There is no AGI. But the problem is this: the AI learns from modules. We can take the tiny artificial intelligence, or limited artificial intelligence, and connect new entirety from them. But. Can be lots of limited AIs. Be the AGI? The tiny AI means. A language model is created for compact devices. Like automated translators. Those systems. They can act as loops. For larger and more versatile AIs.  More about that later in this text. 

When AI handles information with certain rules like mathematical problems, it’s. An ultimate system. When AI handles fuzzy things. If the rules are not so strict. Those systems are in trouble. The AI doesn’t have opinions. They cannot simply tell which color seems better, red or blue.  The AI gives very interesting answers. But as  we might know. It doesn’t have an opinion. It forms answers from statistics. 

Mathematical formulas. And many other things. But it doesn’t have opinions like humans. AI can mimic feelings, but it doesn’t have them. The AI can control robots that  “defend themselves”. Or AI can say “ouch” if we step on those robots’ feet. But. Those things activate only because we pressed some sensors. We could make some of those reactions by using switches that activate tape recorders. 

AI prompts us to rethink intelligence. We might think that knowledge is intelligence. We might think that the ability to connect information from multiple sources is intelligence. And then we face the thing. That even if we can connect all the information in the world, we might not be intelligent. This means that we can process information that we can see. Machines make that thing faster than we. But then, when machines must jump out of the box. And try to make something abstract. 

The AI has imagination. It can use simulations. In simulations. The user. It can use the spacecraft’s digital twins as an example. For docking and other maneuver training. Then the AI knows when and how to use the control rockets. In the automatic model, two AIs can operate in the virtual universe. That virtual universe can be in the third server's memory. This means that two AIs form a loop. And the third AI controls that process. 

The machine will make things better. Or they simply fail. The AI can give wrong answers for many reasons. The first is this. The orders. The user's input can be too fuzzy. The AI can also use the wrong dataset. And this means that the user must be careful about orders. 

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It’s possible that feelings have one purpose. To make our reactions unpredictable. If we did not have feelings. We would make our reactions predictable. If we were to attack like wolves. We would do everything in the same way. Without feelings, we would always attack or escape in similar situations. But feelings make it harder to predict how we react in certain cases. There. Some hunter who is just a puppy. 

Or when hunters threaten our family. The AI always follows logical ways. Of thinking. The AI will never suspect that anybody will tell lies. The trained AI can search the net. Are there things like funerals? For the name of the person who tells about the death of a family member? Or are there some other public ceremonies for that person? But the AI can always say. “Oh my goodness”. And that means the AI can mimic feelings. But it doesn’t have them. 

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The problem with that paradox is that the AI requires well-articulated orders. To make things the user wants. Well-articulated orders are not possible without knowledge of the topics. For using AI. The user must have some kind of knowledge of the topics. Without that knowledge. It's possible that the AI makes mistakes. The mistakes can happen because of the databases that the system uses. Are corrupted. 

Otherwise, we can ask one question. If we give orders to some. Other.A person to make things like painting?  Does that painter ever make a painting that matches our imagination? In the same way, are there mistakes that AI makes sometimes between our ears? Do we just search for mistakes because we want to be better than our creation?

The AI helps us to understand how we think. The human brain involves millions of neurons. Almost all neurons have a pair. And those neurons form the loop. The information travels in the loop. The purpose of pairless neurons is to stop that loop if those neurons are stuck in that process without the ability to stop. The third neuron orders them to stop the process. And give space to another process. 

There is a possibility. That tiny AIs can form those loops in the larger language models. 

Theoretically, those processes. In the level of two or three neurons. They are easy to mimic. But the problem is that. Our brains have so many loops. That they are hard for programmers. We can say that thinking means connecting memories to information. That. The senses transmit to the brain. The fact is that. Something is missing in our puzzle. The thing that is missing makes us intelligent. Computers can connect and process information. But sometimes those things make mistakes. That even a child will not do. 

When we train AI, we require a lot of data. The AI can train another AI. But normally, operators train the machine. But as we know. Normally, it changes all the time. This means that two AI’s can form the loop that allows them to train each other. But in that case. The AI needs information. And information that AI uses can be wrong. 

The AI can teach or train other AI. The system can use the algorithms for the same purposes as human programmers. The algorithms. They are not hard to program. The problem is that the AI requires so many algorithms. And the infrastructure that it needs. Requires many microchips. Of course, engineers can make microchips. Or microchip groups. Those that operate in the three processor groups. The requirement for three processors. Or. Pairless processor core architecture is this. The pairless core releases the endless loops from the  processor pairs. 

But that is one depth of thinking. When we ask something about the AI, we must ask something. From a person who looks at us in the mirror. We must ask: what can we expect from the AI? Should we always expect feelings when we ask something? If we ask something. From the AI. We cannot always expect. That AI connects feelings into its answers. There is not. Feelings that we can naturally connect with all things. That we can ask. If we ask AI to solve a mathematical problem. There are no feelings that we can connect with that thing. 

And AI has no feelings. It can connect some phrases. Like “how horrible” to things that we say. Or tell it. The AI can mimic feelings. But it doesn’t have them. We don’t know what role feelings play in our thinking. There is a theory that feelings are created. To give a surprise element to our reactions. If we have no feelings, that means we would act the same way in all situations. Feelings make our reactions harder to predict. If we were to attack like wolves. We would do everything in the same way. Our prey or other people will predict our reactions. But feelings make those reactions harder to predict. 

https://bigthink.com/philosophy/how-ai-is-quietly-changing-what-we-think-the-human-mind-is/

https://scitechdaily.com/even-gpt-5-failed-this-human-attention-test/

https://www.unite.ai/the-small-model-uprising-why-tiny-ai-is-outperforming-giant-language-models/

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

The key element of drones: flexibility.

As we know the drone. It can transport pizza to the right balcony. But the thing that we don’t normally think about is this. The same drone that delivers pizza at a certain point in the city. It can also transport grenades or bombs to the same point. This is the reason. For why this AI-controlled Skyways drone is so interesting. The drone can transport equipment and food. Into the precisely right position. The drone can make the same thing. With grenades and depth charges. Or it’s pizza can be replaced by using the radar antenna. So those drones can operate as miniature AWACS platforms. 

Those drones with radar systems can see at least larger drones. That flies below them. The radar observation drone can map underground tunnels. A swarm of those drones can communicate. With command, control, and communication platforms. This means that the AWACS platform outsourced its radar to other aircraft.  And that helps the crew to survive if the anti-radiation missile locks on those radars. 

So that makes those drones very versatile. Even if they are standard versions. The bigger drone. It can also operate with other drones. The bigger drone can carry a smaller drone. 

This means that the quadcopter strike drone can be dropped near the target. And those drones. They can use those drones. As aerospace relay satellites. The drone that flies over the area can also send a signal to eavesdropping systems.  To deliver the data that they recorded. Those “sleeping systems”. They can be extremely dangerous. The scanner doesn´t see those passive systems that record speech or data. When the system sends a radio signal, it sends recorded data to that drone. 

Or. It can pull another drone or missile behind it. That kind of system can launch the drone from the right position. And that increases their ability to operate. The pizza drone can also drop a quadcopter into the right position. And those copters can operate as reconnaissance or kamikaze missions. In pure reconnaissance missions, drones can be equipped with microphones or seismic sensors. That can deliver information to the command centers. 

This ability makes drones more versatile than traditional systems. The kamikaze drone can also send reconnaissance data for its operators. The thing about the quadcopters is that. Those drones. They can also transport guns like automatic pistols or small submachine guns. So they can be the most dangerous things in the wrong hands. 

 

New microchips are necessary to boost the AI.

"Scientists have demonstrated a breakthrough method. For building true 3D silicon chips. By stacking multiple layers of circuits. Without damaging existing electronics. The advance could help extend Moore’s law and deliver faster, more efficient computing as traditional chip scaling reaches its limits. Credit: Shutterstock." (ScitechDaily, The Next Computing Revolution May Come From Stacking Chips Like Skyscrapers)

The paradox of computing is this. There is never enough power for those systems. The new high-power computing that revolutionizes mathematics. Forces to develop new systems. That can resist attacks from new systems. The ability to create new protective algorithms. That can resist new complicated malware. Requires high-power computing. The problem is that. The microchips that run those AI-based algorithms. Running with full power. And that means. When new applications come. 

The entire physical system must be changed. The new types of quantum computers are tools. That can break any code. The role of those systems is simple. They can create new, ultra-long quantum prime numbers. The attacking systems require those prime numbers to crack the codes. And when the quantum computers launch an attack. Or assist the attack by generating quantum prime numbers. The only thing that can resist is another quantum computer. 

New AI-driven control systems require new and powerful physical systems. And the thing that can help to solve problems is new quantum computers. The paradox is this. A fully functional quantum computer requires highly effective AI to control it. The operating systems of those quantum computers are very complicated. They require powerful microprocessors. But in mobile systems, the space is limited. 

“Researchers have shown that elusive magnetic excitations can survive far longer than previously thought, opening new possibilities for ultra-compact quantum devices. Credit: Shutterstock” (SvitechDaily,Magnon Breakthrough Could Shrink Quantum Computers to the Size of a Penny)

The answer to that problem is technology, known as vertical integration. In those systems, the microcircuits are like towers. And that makes it possible to increase the number of transistors in those new 3D circuits. The system can keep. The temperature is lowered by using the small air channels. Or a nanotube-based architecture. There, the nanotubes are connected to a heat exchanger. That exhanger. It can be the element. 

Connected to those nanotubes. And the cold gas or liquid travels through those elements. That pumps the temperature. Out of those microchips. These kinds of microchips can control quantum computers in the future. And those heat exchangers can be connected to the cooler systems of the quantum chips. 

The quantum computer. It can be the size of a penny. If those quantum processors turn operational. They can miniaturize. The size of computer centers. The 250-qubit quantum computer matches the 250 regular microchips. That is one of the most effective systems. These kinds of systems can use the superconducting qubits. 

Another version is to use magnons. Anyway, those qubits require. A very stable and low temperature. The small quantum computer requires high-power coolers. So, theoretically. It's possible to keep its temperature low. By putting it into the  thermos box. There, the system keeps the temperature at a low level. The system can also use pressure. To raise the temperature that the superconductor requires. 

Magnon it is. “A magnon is a quasiparticle, a collective excitation of the spin structure of an electron in a crystal lattice. In the equivalent wave picture of quantum mechanics, a magnon can be viewed as a quantized spin wave. Magnons carry a fixed amount of energy and lattice momentum, and are spin-1, indicating they obey boson behavior.” (Wikipedia, Magnon)

“A lifetime of 18 microseconds could turn magnons from weak intermediate links into strong quantum memories and efficient communication channels on a chip. They may be able to connect hundreds of qubits through a shared pathway, serving as a long-awaited quantum bus for scalable quantum computers.” (ScitechDaily, Magnon Breakthrough Could Shrink Quantum Computers to the Size of a Penny)

“The new MultiQ-IT prototype can cool, trap, filter, and redirect over a billion ions simultaneously, dramatically improving dynamic range and signal-to-noise. Credit: Lori Chertoff/The Rockefeller University” (ScitechDaily, Magnon Breakthrough Could Shrink Quantum Computers to the Size of a Penny)

In some very exciting models. The quantum chip can involve a laser network. The points where the laser beams interact can act as quantum dots. And superpositions could be made through or between those quantum dots. Those systems are exciting. But they are a little bit. Too complicated. For the existing modern technology. The ability to miniaturize the quantum computers is exciting. 

When the system requires the ability to control qubits. It must see them.  This is the reason. For why the new sensor is interesting. The ability to see the points of atoms and molecules makes it possible to control them. The ability to see atoms and particles. And the ability to inject energy into them. Makes it possible to use atoms as qubits. 

In the same way. Those sensors. They can observe the qubits. These are created between quantum dots. The mass spectrometers. They can see which. Of those atom groups are stressed. Mass spectrometers can also transform the atoms into information. They can observe atoms. And a certain atom group. It can be a certain qubit or a state of the qubit. 

https://scitechdaily.com/magnon-breakthrough-could-shrink-quantum-computers-to-the-size-of-a-penny/

https://scitechdaily.com/mass-spectrometry-breakthrough-detects-billions-of-molecules-at-once/

https://scitechdaily.com/the-next-computing-revolution-may-come-from-stacking-chips-like-skyscrapers/

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

The ability to change networks is a new tool for AI.

"An artist’s concept of the Polylingual Experimental Terminal (PExT) transmitting data. Credit: NASA/Morgan Johnson" ScitechDaily)

The AI is the frame that connects network segments. Into one entirety. In robot technology. One robot group, or a drone swarm. Operates under individual network segments. The ability to switch between networks helps to spread information through multiple robot groups. 

The new technology allows the spacecraft to switch networks during flight. And that technology can be fundamental to training AI-based aviation and robotics technology. The same technology. That works with the spacecraft works with drones. And that’s why the ability. To change. Between networks is a tool that makes it easier to train robots. The AI can spread that information across the network. The feedback system can collect information. And deliver it into the digital twin. That operates in simulation. The simulation is the imagination of the AI. The AI can use digital twins for a self-learning process. 

The robot can be part of the training network while the operators train it. And then the robot switched to the operational network. So the robot can transfer its training to other robots in the network. And that is the next-generation tool that can make AI-based robot training effective. The system. It can also bring new skills. For robots, oppositely. The remote-controlled robot. It can act as the pioneer. The robot can get its mission data from the operational network. And then it can transfer that data to the training networks. Or training interface. There, the other robots can take that information. Or in the cases of the military simulation, the other robots try to find weaknesses. 

From those tactics. The ability to switch between networks is the thing. That can save the system. In the case of computer viruses. Or other types of corruption. If drone swarms can switch between networks, that increases their immunity against jammer systems. These types of tools. They can also get information and then spread it. Through all of those systems. The prime mover can collect information. And then deliver it over the drone swarms. And that makes those systems fundamental. The platforms. That mission is to get information. They can operate in different networks than the prime attack actors. And that is one of the principles in the AI-controlled drones. 

Computer viruses can be a big threat to AI-based systems. The attacker can slip virus code into the robots by spoofing the robot’s control signals. Maybe attackers cannot take drones. In control. But they can destroy the command algorithms. 

When we think about movies like The Terminator, we always forget one thing. AI-controlled robots are not like humans. They are operating as an entity. All of those robots communicate with each other. They form the network. That means that when one robot sees or hears something. Other robots hear something. When somebody tries to destroy one Terminator. That robot sends information to others. That forms the robot groups or swarms. This means that. Those counteractions just teach those robots and AI to operate more effectively. The same thing. That affects humanoid robots, which affects other types of robots. This means that drone swarms must be in their own network segment. The robot is always vulnerable to computer viruses. So, if one of those network segments is polluted. The other segments will stay clean. 

One of the new threats that the AI-controlled drones can face is computer viruses. Those viruses can destroy the most complex algorithms in minutes. The AI-based tools. They can make it possible. To generate new viruses very fast. This means that the AI-based drones require new protective applications. There is a possibility that computer viruses will slip into the system in the command code. The attacker will try to infect those drones by spoofing the control signals. And that can cause a situation. There, the computer virus can destroy the control algorithms. That makes AI helpless. 

https://scitechdaily.com/nasas-new-technology-lets-spacecraft-switch-between-networks/

Is this the new F-47 concept?

Above:  Is  this the new F-47 concept?

Images from AREA-51 introduce a strange, possible hypersonic stealth aircraft. This mystery aircraft uses the “Christmas tree” stealth technology, if the article in the TWZ is right. This means that the first flying prototypes of the F-35 successor are airborne. The fact is this. The F-35 is one of the most fundamental aircraft types on Earth. 

The aircraft has shown its superiority in Iran and other conflicts. And it's the state-of-the-art technology. But the permission to export that aircraft is the thing that causes suspicion that something more fundamental than the F-35 Lightning II is already operational. And maybe that interesting-looking concept is some kind of part of that thing. The new 6th-generation jet fighter. It will be faster, capable of hypersonic speed. The hypersonic system can drop drones into the atmosphere.

The idea of a jet fighter that can make a ballistic jump out of the atmosphere.  And return is not new. In the late. WWII. Nazis conducted theoretical research with a project called “Sibervogel” (Silver Bird). The idea was to create the trans-atmospheric vehicle, TAV. The suborbital bombers are also planned in the Soviet Union. But the Sibervogel was too complicated for the 1940s technology. And that system remained as a concept ark. 

The TAV vehicle could deliver a 45 kg concrete projectile to the target. The speed of those projectiles could be Mach 4 to 10. The project was too complicated. But the idea of the hypersonic aircraft. 

"Sibervogel" concept

X-15

The SR-72 Darkstar

That could jump out of the atmosphere. And then release. A kinetic energy ammunition to target remains. The X-15 rocket planes launched under the B-52. Those rocket planes were pathfinders for space shuttles. But during that project, USAF researchers developed the ability to create the space fighter.  This kind of system can act as a “super A-10”. 

The hypersonic aircraft that shoots concrete bullets at the target can cause a devastating effect. Another thing. Tha. This kind of aircraft. can carry ASAT weapons. The hypersonic aircraft that carries anti-satellite missiles. It can be a very powerful tool. The SR-72 Darstar is a more advanced concept. That can.be used as a base for the F-47 program.

The Darkstar is as fast as X-15. So, it can have many fundamental roles. The speed of both systems is about Mach 6. 

The hypersonic aircraft can travel to very high altitudes. And maybe, even to jump outside the atmosphere. This system must also have the capacity. To cooperate with drone swarms and other autonomous and semi-autonomous systems. The new AI-based systems are more fundamental than people expect. When the jet fighter pilot operates. The highly advanced jet fighters, like the F-35. Those pilots also train things like AI-controlled digital twins of the jet fighter. The digital twin can operate as an opponent in highly advanced simulations. But those digital twins.

They can be used to control AI-controlled aircraft. There are many suspicions about those next-generation jet fighter systems. And one is that. Maybe there are manned and unmanned versions of those futuristic jet fighters. That should be more advanced and more capable than jet fighters that are already in use. The new jet fighters can have both manned and unmanned versions. 

And they can cooperate with a loyal wingman and other drones. Their computers and telecommunication systems. They can cooperate with other aircraft, unmanned systems, and ground. And ship-based observation platforms. And that means they are acting as centrons in the very complex automated systems. But then we must realize that things like EMP and high-power jammers. They can damage that communication interface. 

https://www.twz.com/air/area-51-mystery-aircraft-prompts-interest-in-christmas-tree-stealth-fighter-concept

https://www.twz.com/air/is-this-a-glimpse-of-the-aircraft-that-gave-birth-to-the-f-47

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

https://en.wikipedia.org/wiki/Lockheed_Martin_SR-72

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

https://medium.com/@batrobin/is-this-the-new-f-47-concept-13e839353795

The mosquito-killer can be used for drone-killer technology.

The AI enthusiast and inventor created the laser-based mosquito-killer system. That system killed all the mosquitoes in that person’s home. The laser beam zaps those mosquitoes. That the AI-based machine view detects. The same system that controls the bug-killer lasers can also control more high-power lasers. And that means this person. Whose name is Cheng, also created a new type of air defense system. This type of machine vision can also control the air defense systems that use lasers to intercept targets. Like incoming missiles, drones, and aircraft. 

The system can use optical detectors that are immune to stealth technology. And active jammer systems. If the machine-view-based anti-aircraft system uses camera systems for target detection. That can be. a very big threat to the stealth fighters. The passive camera system. It can measure the distance to the target by using two  cameras. And triangular measurement. When those two AI-controlled cameras keep the target in the middle of their crosshairs. 

That system can detect the position of the incoming target, even if it is very fast. In that system. The machine view makes it possible to aim the cameras at the right point. And the AI keeps them locked to the target. This system can operate with anti-aircraft. Or, field artillery. As well as. It can track drones. Then the system measures. The angle of the cameras. Or it measures the vertical and horizontal angles of cameras that follow the target. The system is invisible to ECM. And if it sees the aircraft. It can follow and ambush it. Very accurately. 

The ECM and ESM don’t see passive systems. That doesn’t send any radiation. If the system uses laser beams. It can cause big damage. To the aircraft or missiles. The machine view can be the tool. That can solve the problems of the next-generation air defense. The machine view interconnects multiple sensors. Like radars, lidars, and cameras. The system tries to find markings of the stealth fighters. By trying to detect the turbulence or pressure waves that the aircraft sends. 

https://defensefeeds.com/military-tech/navy/laser-weapon-systems/helios-laser/

https://www.tomshardware.com/maker-stem/robot-kits/the-ultimate-mosquito-killer-uses-lasers-and-ai-custom-model-trained-to-detect-and-lock-lasers-on-these-pests

Can drones end the existence of the jet fighter?

Above: F-35 Lihtning II

Drones are the game changers. The big problem is this. The drones are a new dimension for strike capacity. The use of kamikaze drones and drones as miniature reconnaissance planes. It is not new. But the Ukraine war. It is the first. Those include systems used as large-scale weapons. Before that, the drones were used against single targets. And they were meant for assassination operations. But in the Ukraine war, drones play a vital role. 80% of the losses. Form because of drones. Drones are not replacing all weapon systems. But they can cooperate with them. 

Drones, and even fiber-optical drones, can be remotely controlled over the internet. The control station requires only an internet connection. So, those systems can be connected to any internet socket. And that means the operator can sit over thousands of kilometers. 

The problem. Pilots cannot avoid anything that they don’t see. 

The fact is that drones bring at least a new dimension to air defense. Even if the drones that Ukraine uses against Shahed-136 drones are small and slow. Those drones can threaten the low-flying jet fighters. The hovering drone is dangerous. If a jet fighter impacts with drones. They can cause bad damage or even destroy those jet fighters. In this scenario, those very small drones can act as hovering mines. And if pilots don’t see those drones. That can cause destruction. There is also a possibility that Shahed-sized drones can carry air-to-air missiles. Those missiles can be dangerous to jet fighters. If they do not detect those drones or missile launches. The image-recognition systems make stealth fighters vulnerable to those missiles. But the use of them requires. That. Those systems detect the fast-moving fighter. 

Also, even small drones can be dangerous. If operators are used against soft targets like aircraft. The new AI-controlled drones can attack targets independently. And even a small drone can make a hole in the aircraft’s body. Large-sized drones . They can have the ability. To shoot missiles and rockets. But they also involve internal warheads. The jet fighter can also drop small drones into the operational area. And those drones can point targets to the laser-guided bombs. The AI-controlled bomb can see the image. Of the target. That's the drone's laser points. And then it can home in on its target using the image stored in its computers. 

The problem with drone swarms is simple. They can involve even thousands of drones. Those drones can be easy targets. But that requires defense systems. And the biggest risk is that. The defender uses all its ammunition on those drones. The defender cannot allow any drone to pass the defense. Even a single drone can destroy communication antennas or fuel and ammunition storage. If a jet fighter uses all its missiles and ammunition on drones. It's possible that the enemy fighters can intercept them. Same way. Drones force the air defense to open fire. And that uncovers the AA-systems positions. 

Ukrainian Sting interceptor drones. Their speed is about 343 km/h. So, they could be dangerous to A-10 Wrthogs and helicopters. But a jet-fighter could avoid them. Because of their speed and altitudes. 

The role of the jet fighter in the future is more complex. It will cooperate with drones and other systems. It can have loyal wngman drones and drone swarms. It can send to risky missions. It can communicate with drone containers that shoot defense drones against attacking drone swarms. And in attack situations, those jet fighters can send drones to destroy air defense. In those cases, the swarm of drones and missiles travels ahead of jet fighters. The drone delivery ability. It brings new roles for jet fighters. The jet fighter can drop the drone in some operational areas. And those drones can destroy high-value targets. The fact is that. A drone can send. The location of the targets. To the headquarters. Or it can attack itself. 

A drone is a tool that changes everything. A drone can lurk near the headquarters and runways. The drone can attack the targets. When it sees the jet fighter. The drone that can be dropped from satellites can be used for assassination operations. The drone . That dropped from the orbital trajectory can be used against the high-value targets. The problem with the drones is that. Maybe they cannot destroy large targets. But they can destroy things like radar antennas and network stations. So, the drone swarms can prepare targets by destroying radars and communication antennas. A drone can also send mission-critical data to its owners. The drone that uses Cesium batteries can have virtually unlimited operational time. 

In normal cases, high supersonic speed. Along with high-altitude. Protects jet fighters against drones. But if a jet fighter is ambushed on the runway. That fighter is helpless. Drones are easy targets. But that requires. The defense system is switched on. The problem is that. Those drones can travel in containers on civil vehicles. And in some scenarios, the drivers will not even know. That they carry drones. When the container is within the strike distance of the target. Its roof opens. And drones are released. That means the defender might have a very short time to react to drones. The thing is that. 

Drones are a new threat. The problem is that any drone can be modified into a weapon. So, also criminal organisations and even street gangs can equip hobby drones. Into explosive carriers. Or kamikaze drones. And that makes them very dangerous. Even if we think that civil drones have no similar protection as military systems. We must realize that those drone defense systems must be turned on. That they are effective. 

(https://unherd.com/2026/05/is-this-the-end-of-the-fighter-jet/)

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

https://medium.com/@batrobin/can-drones-end-the-existence-of-the-jet-fighter-51e250560d84