Can the AI learn from its mistakes?

That is a good question. The answer is simple. That depends on how the error or mistake is determined. Determining what the mistake or error is is one of the bottlenecks to creating artificial general intelligence (AGI): how to determine right or wrong? How to describe favorable cases. That the AI should use. And. How to determine the non-favorable cases? The latter are cases that the AI should avoid. In the teaching process. The operator determines and describes the case. And then gives it. Positive (favorable) or negative (non-favorable) values. 

In this text. The main topic is reinforcement learning. There, the system makes something, and the environment. It gives feedback. The feedback. Or. The actor who gives feedback. Determines. If the AI acts right or wrong. And how to determine the values “yes” (Positive)(+)  and “no” (Negative)(-)? 

The system could partially follow Boolean algebra. The chain of positive (+) solutions. It can be conjucted by using “AND”. The “OR” changes the model. And if the model gives a negative (-) value. The system turns to using “NOT,” and then the system. It must change the model. The disjunction happens when there are too many negative values in the series of cases. The negation operation makes the system retake the algorithm. And then try another way, or algorithm, to solve the problem. The problem. It must always be solved by following the rules. 

When we think about the trial-and-error model. That model is effective. But not in all cases. This model is also known as the reinforcement model. Trial-and-error model. It is a good tool for virtual cases. But in cases where the AI must drive a car. That kind of learning solution. That can turn very expensive. There are not many ways. How to react to things the right way. Wrong reaction. It can turn fatal. If the AI driver reacts the wrong way. That can be a very big risk.  

When the car stops at a red light. That is the rule. This instruction is for public safety. But what if somebody tries to rob the car? What if a street gang member  shows a red light or “stop sign” to the car? Trying to rob it? That case is not very common. But those special cases show. How difficult. It is to program the AI. The AI is like a student. That system requires intensive training. The AI trainer must give instructions on what to do. And what not to do. 

In simple cases, the AI uses a limited data type. The AI is very easy to teach. The system requires a description of the favorable case. That case is determined as plus. But then the AI requires determination. About the non-favorable cases. The thing that the AI should not do. That is as important as what the AI should do. The AI should also have value. 

What to do if it doesn’t recognize the case? In a virtual world. The AI. It can make as many mistakes as the user allows. But in real life. When AI controls physical things. There is no room for errors. If the AI controls robot forklifts. Those systems can break lots of merchandise. If they work wrong. If the AI controls vehicles. like cars. And it reacts the wrong way. Results can be devastating. In real traffic, the vehicle has no time to wait and analyze opportunities. 

If we want to use virtual environments. The AI can wait. More information for the entire day. The virtual system. It can have endless time to try again. Or wait for more information. 

The world in the virtual environment. There, the system handles things like numbers. There are only two possible cases. Right (+) or wrong (-). But in cases like traffic, there are also plus-minus (±) cases. When AI controls a car. It can face a situation. That there is an emergency vehicle behind it. The AI can be ordered to drive to the sidewalk. The AI must also have orders that it must not impact people. And those cases. That don’t happen very often. They are the most challenging things for the AI. The AI must be prepared. That somebody tries to rob the car. Or there is an emergency vehicle behind it. In a tight avenue. 

Boolean algebra. 

The AI can learn in three main ways. 

1) Reinforcement learning

“In machine learning and optimal control, reinforcement learning (RL) is concerned with how an intelligent agent should take actions in a dynamic environment in order to maximize a reward signal. Reinforcement learning is one of the three basic machine learning paradigms, alongside supervised learning and unsupervised learning.” (Wikipedia, Reinforcement learning)

2) Supervised learning

“In machine learning, supervised learning (SL) is a paradigm in which an algorithm learns to map input data to a specific output based on example input-output pairs. This process involves training a statistical model on labeled data. Each input is paired with the correct output. The term "supervised" refers to the role of a teacher, or supervisor. Who provides. This training data guides the algorithm. Towards correct predictions. For instance, if you want a model to identify cats in images, supervised learning would involve feeding it many images of cats (inputs) that are explicitly labeled "cat" (outputs).” (Wikipedia, Supervised learning)

3) Unsupervised learning

“Unsupervised learning is a framework in machine learning where, in contrast to supervised learning, algorithms learn patterns exclusively from unlabeled data. Other frameworks. In the spectrum of supervision. Including weak- or semi-supervision, where a small portion of the data is tagged, and self-supervision. Some researchers consider self-supervised learning a form of unsupervised learning” (Wikipedia, Unsupervised learning)

“In supervised learning, the training data is labeled with the expected answers, while in unsupervised learning, the model identifies patterns or structures in unlabeled data.” (Wikipedia, Supervised learning)

“The typical framing of a reinforcement learning (RL) scenario: an agent takes actions in an environment, which is interpreted into a reward and a state representation, which are fed back to the agent.” (Wikipedia, Reinforcement learning) The thing that gives feedback. Like determining whether the case is favorable. Or non-favorable. It can be the human. 

The main problem with the AI and learning system is. How to determine whether the solution is good or bad. The simplest way is to use a human as a controller. When the algorithm ends its operation. Human operators. They select whether the solution is right or wrong. Determination of the desired solutions. It can also be programmed into the algorithm. In the case of stock marketing, desired. Or. A favorable solution could be maximized income. In the series of actions, the algorithm repeats the action. Time after time. The solution that it pursues. That is, maximizing income. 

Stock market analysis is a simple solution for modeling. The rising line, or rising income. It is the positive solution. The decreasing line is the negative thing. 

This type of machine learning is not hard to make. The user must only determine the highest number. That is, in a certain column. That is what the AI should pursue. In a series of cases, the user marks the wanted solutions, or actions. As positive (+) and negative (-). The thing. The algorithm must pursue. It is the highest possible number of positive solutions. 

The user determines the plus and the minus. And the AI tries to take as many points in the plus column. As possible. The AI, or its teacher, just selects the answer. That is marked as plus. The process requires more than one point. And then the AI follows the line. When the line is rising. The AI makes the right (+) solution. When the line decreases, the solution is wrong (-). 

https://vertexestechnology.com/levels-of-ai/

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

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

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

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

Plasma engines. The route to space planes and interplanetary flight.

“Plasma Jet Engines Could Revolutionize Aviation and End Fossil Fuel Dependency. (CREDIT: Freepik)” (BrighterSide, Next-generation jet engine converts electricity directly into thrust)

In a traditional jet engine, combustion causes the fuel to expand. And then that expansion pushes the aircraft forward. In plasma engines, electromagnetic radiation ionizes air, creating plasma. And then magnets can drive it backwards. This gives. An enormous speed to those ions. The plasma jet and plasma rocket. They are quite the same thing. The difference. Is in the way those engines take gas. That they need. The plasma jet engine takes air from the atmosphere. And then it expands that gas. The plasma rocket uses an internal propellant source. 

But it's possible that a plasma jet can transform into a plasma rocket. The transformation. It happens this way: the system just closes the hatch from the air inlet. And then starts to use its internal propellant storage. These kinds of systems. Their compressor blows air from the side of the engine chamber, which could make it possible to start regular ramjets on the ground. If there is an exhaust hatch and the ability to push air from the side. Makes it possible to launch the nuclear-powered aircraft. Similar to Project Pluto from the regular runways. The hatch at the front of the ramjet allows this system. To drive the exhaust gases to the back. The nuclear engine makes it possible. To create the space plane with unlimited operational time. 

The system. It can make plasma by using electromagnetic radiation. The ionization. At the front of the wing. And a magnetic system. That drives those ions over the wing. It makes the gas move faster above the wing. This causes lift force. Same way as the run on runways causes in the wings of regular aircraft. Same way there is suspicion that the tower. That is in the middle. Of certain saucer-shaped aerial phenomenon. It is meant for some kind of ion propulsion. The system can ionize air. And then drive it very fast over the upper side. Of that kind of saucer-shaped aerial vehicle. That system. It can generate lift-off force by using the ion flow above the craft. 

“Researchers have developed a prototype jet engine powered by microwave air plasmas, offering thrust without fossil fuels. (CREDIT: CC BY-SA 4.0)” (BrighterSide, Next-generation jet engine converts electricity directly into thrust). 

Could this UAP have a plasma engine? That puts gas to flow very fast above this device. Another possibility is that the system. It can have an internal double-propeller system. Like in Kamov-type helicopters. 

In some models, the system creates a ball-shaped plasma structure. Then magnets will drive the plasma forward. That plasma makes the system act like a sail. In this system, the plasma pushes the craft forward. This kind of system can give the craft an ability. To levitate silently.  And if the craft pushes plasma forward. That makes it possible to create aircraft that have no exhaust gases. A plasma engine that takes the gas that it needs from air can fly almost forever. This means those plasma aircraft with plasma jet engines can act as atmospheric satellites. 

They can fly for years. Plasma jet engines. They can also make it possible. To create small-sized drones that have no operational time limits. Because a plasma jet engine is very small. This makes it possible to create pocket-sized drones. That can fly with supersonic speed. The problem is with the power sources. The plasma jet engine requires nuclear power. Or it needs wireless high-voltage energy transfer. The use of traditional turbogenerators onboard the aircraft. 

They are impractical. The aircraft that uses plasma jet engines. They can fly. Also in space.  The plasma jet. It uses internal gas storage. It can transfer to use internal propellant that those systems drive into an expansion chamber. These kinds of space planes. They can make even interplanetary journeys. And operate in other planets' atmospheres. The system can fill its propellant tanks. By using the air that it pulls from the atmosphere. The compressor system can deliver that gas into the expansion chamber. Or it can transfer it into fuel storage. These kinds of space planes could travel to other planets. But they would not be as effective as pulsed plasma fusion systems. The manned interplanetary mission requires something more powerful. Like a so-called VASIMIR (Variable Specific Impulse Magnetoplasma Rocket) engine. 

The interplanetary system. It could generate plasma, or pulsed plasma. By using microwave or laser beams. NASA's innovative electromagnetic microwave propulsion system was the “regular” rocket engine. In that system. Microwaves cause expansion in the propellant. And that makes the system an electromagnetic rocket engine. But when we think about the hybrid systems. That connects the air-breathing plasma engines and plasma rockets. Unmanned interplanetary missions could use that kind of system. To take samples from gas giants like Jupiter and Saturn's atmosphere. If this kind of engine is mounted to SpaceX's Starship. That kind of nuclear-powered shuttle. It could take samples back from Mars to Earth. 

https://www.innovationnewsnetwork.com/the-power-of-plasma-propulsion-a-new-era-in-space-travel/60991/

https://timesofindia.indiatimes.com/science/nasas-new-plasma-engine-could-reduce-travel-time-to-mars/articleshow/130908505.cms

https://www.thebrighterside.news/post/next-generation-jet-engine-converts-electricity-directly-into-thrust/

https://en.wikipedia.org/wiki/Kamov_Ka-25

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

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

Why does the AI change answers all the time?

“ChatGPT may sound confident, but when tested on complex scientific claims, it often guesses and even contradicts itself. Researchers found it struggles especially with spotting false information. Credit: Shutterstock”(ScitechDaily, ChatGPT Was Asked the Same Question 10 Times. The Answers Kept Changing)

“In the initial 2024 experiment, ChatGPT answered correctly 76.5% of the time. When the study was repeated in 2025, accuracy rose slightly to 80%. However, once the results were adjusted for random guessing, the performance looked far less reliable. The AI was only about 60% better than chance, which the researchers described as closer to a low D than strong performance.”(ScitechDaily, ChatGPT Was Asked the Same Question 10 Times. The Answers Kept Changing)

“The system had particular difficulty identifying false statements, correctly labeling them only 16.4% of the time. It also showed inconsistency. When given the exact same prompt 10 times, ChatGPT produced consistent results for only about 73% of the cases.”(ScitechDaily, ChatGPT Was Asked the Same Question 10 Times. The Answers Kept Changing)

Researchers talk about those cases like this. “We used 10 prompts with the same exact question. Everything was identical. It would answer true. Next, it says it’s false. It’s true, it’s false, false, true. There were several cases where there were five true, five false.” (ScitechDaily, ChatGPT Was Asked the Same Question 10 Times. The Answers Kept Changing)

The reason for that is the accumulation of information. When the researchers ask exactly the same questions hundreds or thousands of times. That causes data accumulation. Another thing is that. There is probably a pointer in the algorithm. That tells whether the answer satisfies the user. If the user does not stop the algorithm. While bombarding it with the same question. 

The algorithm interprets. That situation. That there is something wrong in the answer. If the user drives the same algorithm.  Again and again.  There is a possibility. That some router. Or a switch is stuck. This can cause a situation. That the system gives different answers. When the AI gives an answer that remains. It's RAM memory. If the algorithm runs in a loop, the question repeats. 

Time after time. That can also fill the memory of the central servers. So, before the next run. The user must remove the garbage or the data from the RAM. The system must have time to stop the algorithm and then clean its memory. If that is not done. The memory. It can be filled. And data. It can be polluted. 

The user should finish the job first. That happens by telling the AI that it’s time to begin the new operation. 

We all know that 1+1=2.But sometimes a stuck switch, or gate. Causes. That microchip fails in the simplest possible calculation.  And tells researchers that 1+1=3. The failure in a processor’s internal structure. It can make it break mathematical rules. 

The situation is similar. To cases. There are binary microchips that calculate 1+1=3. This happens sometimes. When the binary processors are tested by calculating 1+1 thousands or billions of times. Suddenly. A microchip. It can give an answer that can surprise us. The reason why the computer gives 1+1=3 is in Boolean algebra and switches. When the system runs 1+1 many times. That simple calculation jams the switch. And that causes the wrong answer. 

The biggest problem with AI is that. The same AI should handle all types of things. There is no human on Earth. Who knows everything. The limit. Of the sector. Of AI use. It can make it more trustworthy. If the same AI is used for fun and for things like scientific work. That causes the data that it involves. Scientific data and other types of data. Like poems. The biggest problem is that. The AI will not make. A difference between the sources. The AI handles all homepages the same way. The thing that makes AI more trustworthy is that. Its data source. It can use. They are limited to trusted scientific homepages. In cases like entertainment purposes. The AI must not use data in a similar way. 

Did you ask something? From the AI? Then you might notice that the answer changes all the time. The reason for that is in the AI, or LLM (Large Language Model). And especially in its structure. The AI is a cloud-based solution. The giant entirety. People who use AI might think that they are using their private software. The LLM or AI is a giant network of databases and servers. When somebody uses those systems. The system scales that interaction all over the network. So, every user in that kind of AI is participating.

 In the AI-training mission. Even if other users cannot see directly what other people ask. That data grows and refines the dataset. That. The system involves. When we ask something.  From the AI. It searches data. From its own registers. The AI searches. Is there the same question? And then the list of data sources that the LLM used. Questions. That people make. They might be from the same topics. But. They are a little. A bit differently written. 

What is the heaviest stable element? It is not the same question. As the question: “What is the heaviest non-radioactive element”?

The AI uses statistical methods to generate answers. This means that the homepages that the AI uses must be involved. A certain number of references that match the question. The AI must know the trusted data sources it can use. If the AI is used for scientific work. Things like thesis banks, universities, and national institutions offer very qualified information.  But then. We must be careful. When we use the AI. When we ask things like the heaviest known stable element. The AI might give an answer. That is wrong. It might tell.

That Oganesson is the heaviest stable element. Oganesson, element 118, is a very unstable element that decays in less than a microsecond. This means AI makes a mistake. And the reason for the mistake is in the way of thinking. The AI can “think” that the person who asks that question. Means the heaviest element that exists is confirmed. And the element is connected to the periodic table of elements. Normally, that question means the heaviest non-radioactive element. But as I just wrote. AI understands. This is the heaviest element. That has its place in the periodic table of elements. So, we should ask: what is the name of the heaviest non-radioactive element? 

This means that the AI translates and treats them as different questions. The system searches data from its internal registers. But if the questions about the topics are a little bit different. The AI also searches data from the network. This means the AI accumulates information about the source lists in its memory. And when data is accumulated. The AI will use different data sources. The other thing is that. When the LLM makes a search and opens homepages. It changes the homepage's page rank. And that also causes a situation. 

There, the AI’s answers are changing. The other thing is that the AI’s answers will be turned into the homepages. And that makes the AI recycle its output. This is the big problem for the net. The dead internet means that AI generates more and more material for it. That generates and accumulates. A data mass. The same data repeats again and again. This way of generating answers fills the servers. Another problem is that. For generating good answers. Those AIs require well-articulated questions. But another fact is that. A good-looking answer is probably not the best or right answer. 

The problem is that. The wrong answers might look funny. People share them on social media. This causes a situation. Those incorrect answers affect the page ranking. They are visible in discussion forums. If those incorrect answers are often shared. They are seen in the statistics. And that can make the AI repeat them. The problem is that. 

The AI searches data using statistical methods. Page ranking and the involvement of certain words in the list of words that are used in those pages. Make the AI select them. As the data source. Statistical methods. Don’t make a difference between right and wrong information. Or wrong information. The ability to limit. The use of data sources from trusted organizations. Makes AI more trusted.

The big problem is that. The AI causes. Those markings that people normally make become unclear. This breaks. The AI use. In medical work. If people do not make queries or make their markings as they should. That can break the AI. The AI’s purpose. It is to save the medical staff time. In the same way. It's made to make work easier. But the problem is that. Employers see the AI as a chance to fire workers. And if we think that way. The AI benefits only the owners of the companies. 

https://scitechdaily.com/chatgpt-was-asked-the-same-question-10-times-the-answers-kept-changing/

New autonomous fighters entering service.

Autonomous jet fighters are actually large-sized drones. Those drones can operate like manned jet fighters. They can make almost all missions as humans. And those drones can be robotic versions of regular fighters. Like F-15,F-16 and F/A-18. Or they can be specially made for drone missions like Kratos QF-58 “Valkyrie”, or FQ-42, and FQ-44. The idea of robotic jet fighters is not new. During WW2, there were plans to create a Western version of the “Kamikaze”. The Western version of the Kamikaze. It was a remote-controlled. An aircraft that could dive to the target and be controlled from other aircraft. The first attempts to use remotely controlled aircraft, like radio-controlled B-24 Liberators and B-17 Flying Fortresses, against German V-1 production. 

Those early drones were unsuccessful. And the reason for that was primitive technology. Another idea was that CAM ships were equipped with radio-controlled V-1 or later Regulus missiles. The idea was that those systems could attack enemy ships. Even if “Operation Aphrodite” was unsuccessful. The idea of those long-range drones remains. 

But then, long after the WW2. Things, encoded radio transmitters, and more effective computer technology made those systems suitable for operational use. There were ideas to use the target drones. Like QF-4 Phantoms.  And QF-16 fighting Falcons. Also. For Kamikaze missions.  Those drones could also fly. With manned aircraft. And pull the enemy's notice to them. The drone can fly into enemy airspace. And then the enemy aircraft and anti-aircraft systems. They can aim at those non-stealth aircraft. And the F-35 type stealth aircraft can follow them. 

The first so-called killer drones were MQ-1 “Predators” and MQ-9 “Reapers”. Those drones were and are made for anti-guerilla operations. So they are vulnerable to air defense and other drones. There is also. A possibility to use the robot jet fighter in attack missions. Those systems require the same technology. As those slower drones. But in those missions, the problem is electronic warfare. But advanced AI makes those systems more effective. The main problem with “Predators” and “Reapers” is that they are slow. They have an old-fashioned stealth technology. And this makes them an easy target. Those systems are used to force the enemy to open fire. And then stealth aircraft will attack those flak systems. 

But the problem is that. The robot aircraft requires more advanced stealth technology. And independent AI to accomplish their missions. The modern jet fighter. It can cooperate with drones. The drone can fly near the fighter. And it can be used for attacks at low altitude and high-risk targets. Those drones can make the attack. When the jet fighter is backward. The drone can have internal warheads. It can also be equipped with missiles and bombs. 

In some ideas, the B-52 type strategic bombers. They could be transformed into robots. The system finds its targets. The aircraft. It can find its targets using radars and other systems. In some cases. The small stealth aircraft can drop a drone. On the roof of the target. The bomber or attack fighter activates the target locator by using radar. A drone can use a radio transmitter. Or it can use lasers to point at the target. And then the bomber. It can drop its weapons on that target. 

In original ideas, the system that uses crossing radio signals will make the aircraft. To fly into its target. The crossing radio signal over the target makes the system open the bomb hatches and drop them. The system is based on the “Loran” technology. The aircraft. It flies to the target by using the radio beam. That is aimed at the target. Then the aircraft crosses the first crossing radio signal. That orders it. To open bomb hatches. Then another crossing radio beam orders the aircraft to drop its bombs. The problem was: how to deny the enemy from spoofing the radio signal. The answer was the encoded radio transmission. 

Another version was the AI that uses the TERCOM system. Or a TERCOM-inertial hybrid system.  To find the target. The system can use optical image recognition for search and lock onto the target. This means that independently operating drones. They are more immune to electronic warfare. Than the remotely controlled systems. 

The system requires training. And the thing is that. The F-35 can collect data that those drones require. Those drones can also operate independently. And the air-to-air capable drones. They can be launched against the enemy bombers and fighters from catapults. The drone-plane. It can also carry anti-radiation missiles. Those systems can be used against the electronic warfare systems. And they can open a path to other drones and aircraft. 

https://interestingengineering.com/military/us-production-of-autonomous-fighter-jets

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

https://en.wikipedia.org/wiki/General_Atomics_MQ-1_Predator

https://en.wikipedia.org/wiki/General_Atomics_MQ-9_Reaper

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

Can private corporations offer a chance to respond? To the new challenges in space?

 

“SpaceX launched the NROL-179 mission for the U.S. government early Friday morning (June 19) from Vandenberg Space Force Base in California. (Image credit: SpaceX) (Space.com, SpaceX launches new batch of US spy satellites from California (video))

SpaceX  launched NRO recon satellites from Vandenberg. Details of those satellites are classified. But because NRO operates reconnaissance satellites. Those satellites’ mission is  connected to intelligence operations. This means that the U.S. strengthens its spaceborne abilities. 

But that launch itself. It causes discussions. About the role of Elon Musk and the SpaceX corporation in governmental operations. Those satellites play a vital role in space-based targeting and other types of missions. And they offer the ability. To see things that are hidden from other actors. The space gives SpaceX the possibility to rule those areas. And people are concerned about the strength. Of the SpaceX corporation. 

NASA attempts to save the SWIFT telescope. It can also have dimensions. That we ever imagined. The Katalyst corporation is the actor behind the satellite. That should do the mission. 

The same rockets that can transport things.Like satellites to space. They can also be used to carry killer satellites. NASA plans to launch. A miniature satellite that takes the Swift telescope by using manipulators. The satellite can push the SWIFT telescope into the right trajectory.  By using the hydraulic piston. The satellite can also use manipulators to throw the telescope. Or a miniature satellite. It can be used as a space tug. That pulls the damaged telescope to the right trajectory. The satellite that should do that mission is made  by the Katalyst corporation. 

And the knowledge of the satellites' trajectories is the thing. That allows them to affect them. And we know that the same system. That can push  space telescopes. Into another trajectory. That system can also throw other satellites into the atmosphere. This makes the attempt to rescue the space telescope by using another satellite. That will be launched by using the Pegasus rocket. The Pegasus is an airborne-launched system. That rocket. It can transport a small satellite to the orbiter. And the satellite. It can use similar systems. These are used in the case of the Swift telescope. For pushing the targeted satellite back into the atmosphere. And those kinds of systems. 

The mission profile for that service flight. For the rescue SWIFT telescope. 

They can be used to find and affect killer satellites. Or. So-called sleeping FOBS (fractional orbital bombardment system) satellites. Those spaceborne nukes. They  can be used for surprise attacks. The FOBS satellite. It can be used as a nuclear-based EMP(electromagnetic pulse) system. In simulations. The EMP impulses can be used to prepare the opponent for a nuclear strike. The idea in those systems is that a high-power nuclear explosion at high altitude paralyzes electronics before the nuclear mass raid. In 1962, the high altitude nuclear test “Starfish Prime” was conducted above Honolulu. The 1,4 megaton exoatmospheric nuclear explosion caused electronics to be destroyed all around Honolulu. 

Modern electronics are more vulnerable to spaceborne nuclear explosions and their EMP pulses than 1960’s primitive technology. The EMP causes a situation. All communications are shut down. The jetfighters. They cannot rise to defense. And it’s possible that missiles cannot be launched because the EMP destroyed their electronics. Or the transmitters that should transmit launching signals are destroyed. The ability to find those FOBS satellites. It makes it possible to deny the surprise attacks using the sleeping nuclear detonation satellites. There is. The ability to push them into the atmosphere is the thing. That makes them unable to complete their missions. 

The problem with the nuclear-powered EMP is that. The 1,4 megaton hydrogen bomb is not the limit of those weapons. The EMP weapon. It can be much more powerful than the 1,4 megaton bomb. Used in Starfish Prime. The EMP satellites can also form a network all around the world. The large-scale EMP strike can have a destructive effect on fleet and ground-based infrastructure. 

Wikipedia says the Russian killer satellite program is like this: “Nivelir (Russian: "dumpy level"; Project 14K167) is a class of Russian military low Earth orbit (LEO) satellites widely believed to be co-orbital anti-satellite weapons (ASAT) with secondary space surveillance missions. The spacecraft are often compared to Matryoshka "nesting dolls". As each contains a smaller inspector subsatellite, which can itself. Deploy one or more kinetic kill vehicles (KKV).” Wikipedia, Nivelir) 

The first of those satellites was launched in 2022. And there is a possibility that the Russians plan to create Earth-orbiting nuclear-armed satellites. Those satellites can drop a nuclear bomb on cities. Or they can detonate their internal warheads in surprise attacks. Detonating those satellites is not very difficult. The system is like a high-tech car bomb. When that satellite is in the right position. The system. It gives a launching code. Then the nuclear warhead detonates. The only problem is that EMP also destroys friendly satellites. 

https://www.nro.gov/Portals/135/Documents/news/Press%20Kits/10463_Press%20Kit%20book_Launch_Pro-Arch179_6.11.26.pdf?ver=0v03xnXSpOK_ni7ywyhemw%3d%3d

https://roboticsandautomationnews.com/2025/10/01/nasa-awards-30-million-to-katalyst-space-technologies-to-rescue-500-million-satellite/95080/

https://www.space.com/space-exploration/launches-spacecraft/spacex-spy-satellite-launch-nrol-179-nro

https://www.the-sun.com/news/14598954/russian-killer-satellite-us-spacecraft/

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

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

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

18 stealth ships can protect the entire U.S carrier fleet.

“San Francisco, Calif. (Mar. 18, 1999) The U.S. Navy Sea Shadow (IX-529) craft gets underway at dusk to participate in events associated with Fleet Battle Experiment-Echo, sponsored by Commander, Third Fleet and the Maritime Battle Center. Sea Shadow was reactivated this year to support the evaluation of future Navy ship designs and technologies, including automation for reduced manning, propulsion concepts, and characteristics of surface ship stealth.” (Wikipedia, Sea Shadow (IX-529))

The new ship designs are based on stealth technology. In the new designs and visions for fast reconnaissance, patrol, and attack craft. The craft itself can look a little bit like a blackbird. That biomimicking outfit makes radar impulses to slide away from the transmitter. The craft itself would be catamarans with two underwater keels. And the boat would look like. Being lying on two torpedoes. Those underwater structures give them incredible speed. The Sea Shadow retired and was scrapped in 2012. But  modern specialists think that 18 stealth crafts can protect the entire U.S. carrier fleet. 

These two crafts. Retired Sea Shadow and the Ghost boats can operate. Along with bigger ships. The Sea Shadow uses technology. Developed for F-117 Night Hawk. The Sea Shadow can drop torpedoes or launch missiles between its keels. That makes it possible to open fire without. Breaking the stealth form of the craft. If the torpedo or missile hatches are at the bottom of the craft. The craft can drop those weapons into the water. And those launches will be harder to detect. Especially if some kind of drone. 

It carries the weapon a certain distance from the Sea Shadow. That craft is one of the stealth ships in service. The Juliet Marine System’s Ghost boat is a smaller and very fast stealth boat. “Juliet Marine Systems Ghost is a super-cavitating stealth ship. The ship's experimental hull design can reduce hull friction to 1/900th that of conventional watercraft. Ghost was designed, developed, and built by the private American company Juliet Marine Systems.” (Wikipedia, Juliet Marine Systems Ghost)

Juliet Marine System Ghost. The craft could carry two Harpoon or SLAM missiles under its hatches. 

The Corsair drone boat. That picked the downed Apache Crew. Out Of The Gulf of Oman

That system can operate with special forces or attack craft. There is also a possibility of using that system as a surface drone. The surface drone can be used for reconnaissance or attack missions. The kamikaze-sea drone can carry an internal. Conventional or nuclear explosives. The drone can also carry other drones or missiles. That makes them more versatile. 

Or they can save things like pilots. Who were shot down. This kind of mission is made. In the Hormuz Strait. When the U.S AH-64 “Apache” helicopter was shot down by Iran. The sea drone picked the crew out of the water. The drone was not the Ghost boat. But the mission introduced a new doctrine in naval operations. 

The small vehicles can be carried to the operational zone on bigger ships. The ships could carry those smaller boats in the dry pools. In their hull. When those bigger ships require their drones. They can fill that pool with water and release them against the enemy. The idea is taken from the model. Of the WWII tactical scenario. There are landing ships that normally carry small landing craft. Could carry torpedo boats.  When the enemy attacks, those torpedo boats will be released from that dock. The large-sized landing ship could also carry those sea drones. 

https://www.businessinsider.com/juliet-marine-systems-ghost-boat-2016-11

https://theaviationgeekclub.com/18-sea-shadow-stealth-ships-could-protect-the-entire-us-navy-carrier-fleet-remembering-the-warship-that-used-the-stealth-technology-of-the-f-117-nighthawk/amp/

https://www.twz.com/news-features/ah-64-apache-crew-rescued-by-drone-boat-after-going-down-near-strait-of-hormuz

https://www.twz.com/sea/this-is-the-corsair-drone-boat-that-plucked-the-downed-apache-crew-out-of-the-gulf-of-oman

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

https://en.wikipedia.org/wiki/Sea_Shadow_(IX-529)

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 AI passed Turing test.

The AI passed the Turing test. And that means: AI becomes more human than human. The Turing test measures today can AI generate answers that are impossible. To separate from humans. The Turing test, originally called the imitation game by Alan Turing in 1949, is a test of a machine's ability to exhibit intelligent behaviour equivalent to that of a human. In the test, a human evaluator judges a text transcript of a natural-language conversation between a human and a machine. The evaluator tries to identify the machine, and the machine passes. If the evaluator cannot reliably. “ (Wikipedia, Turing test). 

“To tell them apart. The results would not depend on the machine's ability to answer questions correctly. Only on how closely its answers resembled. Those of a human. Since the Turing test is a test of indistinguishability in performance capacity, the verbal version generalizes naturally to all of human performance capacity. Verbal. As well as nonverbal (robotic). (Wikipedia, Turing test). 

The ability to create AI that products cannot be separated from humans means new challenges for people. Whose mission is to control things like the thesis. The ability to create. This kind of AI that imitates humans perfectly makes it possible to use them to play humans. The AI agent that operates with workers can imitate real people. And that makes them very good tools for observations. The director can sit at the laptop and control AI agents that are virtual characters on the screen. Maybe in the future, the directors and team leaders can use the AI agents to follow the workers. 

Those AI agents can calculate how many times an hour the person takes breaks. Same way. Like in encoding work. The operator can operate virtual members of the workgroups. In the same way. The coder can operate virtual encoders. The director can operate virtual characters. The virtual character is actually an algorithm. That can act like a human. The virtual character can drop things and write notes. And many other things. In a virtual room that does not even exist in the real world. In that world, the office, the people whom you see. And things that you hear can be only virtual characters. Those characters can seem to make computer code in a nice office. But that office and the people who work there can be only algorithms. 

(Live Science) 

"The "standard interpretation" of the Turing test, in which player C, the interrogator, is given the task of trying to determine which player – A or B – is a computer and which is a human. The interrogator is limited to using the responses to written questions to make the determination." (Wikipedia, Turing Test)

The operators can use virtual characters to teach or train the AI. In that model, the AI creates the avatar. The virtual character, or digital twin. If we want to make a digital twin of certain people. That thing requires lots of data. But if we want to make and train a virtual character. That communicates with us. Only in the workplace. That thing requires less information. The virtual character who communicates with people. Only about work doesn’t require. A lot of training. And if the virtual character sees that somebody says something, that is outside the work. The order can be. “Back to topics. Time is money”. That allows. Controllers to avoid. The discussions that can uncover the virtual character. 

The AI agent can be a tool. That can collect information from the people. The AI agent can control tools like screen capture programs. The AI agent. With a very good dictionary. And very good articulation can be a good tool for social hacking. The virtual assistant. It can translate English into any language in the world. The virtual character. The algorithm can render. The performance and speech fit the desired character. 

That makes it possible to play any public person in the world. The AI agent must only see how the character speaks and acts. So, that kind of character can help to play even the presidents on screens. In those cases, the person who uses that kind of virtual actor can even use presidential authorities. And in the worst case, those virtual characters can cheat the micro support to create passwords with the same privileges. That president uses. The virtual character could pass the image recognition system. And that is the next-generation tool for identity thieves. 

Even if I just wrote that the digital twin. Made. To represent. A certain human. Or even a family member, requires lots of private data. But if the AI gets that data from somewhere. It is possible to create a virtual character. That can play. Even a family member. When we think about the work that this kind of thing requires. 

We must remember that every family has things. They talk with other family members. But if researchers. Or intelligence officers want to create. The digital twin of a public person. There is a lot of public data. About those kinds of persons. It’s possible that the agents got passwords for the Iranian digital infrastructure. Just before the U.S and Israel attacked Iran. Used some kind of digital actors. Like the Iranian leader’s digital twin as a social hacking tool. It’s possible that the agents. Used even Ali Khamenei’s digital twin to ask for passwords. Into that digital infrastructure. 

https://neurosciencenews.com/ai-passes-turing-test-30733/

https://www.psychologytoday.com/us/blog/the-future-brain/202605/ai-officially-passes-the-turing-test-landmark-study-shows

https://www.livescience.com/technology/artificial-intelligence/open-ai-gpt-4-5-is-the-first-ai-model-to-pass-an-authentic-turing-test-scientists-say

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

Living fog and alien liforms. With the KGB applications.

“Fog may be far more dynamic than it appears. New research suggests that tiny droplets suspended in the air can briefly become habitats for living bacteria that actively grow and consume pollutants. Credit: Shutterstock” (ScitechDaily, It’s Alive? Surprising Discovery Changes What We Know About Fog)

“Scientists discovered that fog droplets can host living bacteria that grow and help remove harmful pollutants from the atmosphere, revealing fog as a surprisingly active microbial environment.” (ScitechDaily, It’s Alive? Surprising Discovery Changes What We Know About Fog)

This thing brings very wild visions to my mind. 

New research suggests that the fog. Or, fog droplets can carry bacteria that can clean the air. Or those bacteria can remove air pollution. From the air. These types of organisms can help to control climate change. And they can also help to remove dangerous chemicals and even chemical weapons from the air. But there is also the possibility that fog droplets can transport dangerous organisms, such as bacteria. Or viruses that cause lung or skin infections. 

That thing causes an idea. Maybe there can be bacteria in planet Venus’s clouds. Those bacteria can stay alive in the droplets of the planet’s sulfuric acid clouds. In that scenario, those droplets in the upper cloud layer can host those bacteria. That will be destroyed in the heat of the surface of that planet. Those bacteria can hover in Venus’ atmosphere. And in some visions, those bacteria can come from Earth. On Earth live bacteria . That can use sulfuric acid as a nutrient. And those bacteria can also neutralize that acid by using base chemicals like some kind of lye. This neutralizes acids. 

“Panspermia proposes that organisms such as bacteria, complete with their DNA, could be transported by means such as comets through space to planets including Earth.” (Wikipedia, Panspermia). 

This is one version of the “living fog. Or, a living ice model. In the last case, the ice bite can carry bacteria or viruses over a long distance. Or even between planets or stars. Conditions in the interstellar space can be so stable that simple viruses can keep their DNA or RNA in those very cold conditions. There is a possibility. The cosmic rays destroy that DNA. But. There is a possibility. The DNA from other planets travels to Earth. 

But then we must realize that in some very interesting models. The fog droplets can involve even neurons. This kind of intelligent fog is one of the most interesting and radical models of alien creatures. Intelligent fogs can be possible. To create in a laboratory. The droplets can also carry things like nanomachines. Those droplets. They can also carry things. Like botulinum. Or, anthrax bacteria. And that makes it possible to create something. That we cannot ever imagine. 

Bioplastics or living plastics can be destroyed in six days. Reseachers can create those materials using microbes. When that material was to be removed. They just activate those microbes. And that is one thing that can remove waste. But that thing can have military applications. Those plastics can form tanks that are removed. When the order is given. This thing can release things like chemical weapons into the air. The chemical weapon can hide in a plastic bite. Then. The operator activates those microbes. That releases those chemicals. Or micro-organisms in the air. 

“Photographed in ultraviolet light and rendered in false color, this view reveals the complexities of the clouds that coat Venus. Credit: JAXA/ISIS/DARTS/Damia Bouic” (ScitechDaily, Earth May Be Seeding Venus With Life, According to New Research)

“Panspermia is the hypothesis that life exists throughout the universe, distributed by cosmic dust, meteoroids, asteroids, comets, and planetoids, as well as by spacecraft carrying unintended contamination by microorganisms, known as directed panspermia. The theory argues that life did not originate on Earth. But instead evolved somewhere else and seeded life as we know it.” (Wikipedia, Panspermia) 

“Models suggest that impact-ejected material from Earth could reach Venus’ clouds and potentially survive there briefly.” (ScitechDaily, Earth May Be Seeding Venus With Life, According to New Research)

“Panspermia is the idea that life, or the ingredients needed for life, can move through space on asteroids, comets, and other objects. If life’s building blocks appear on one planet, a powerful impact could blast material from its surface into space and send it toward another world.”(ScitechDaily, Earth May Be Seeding Venus With Life, According to New Research)

“For decades, researchers have discussed whether this kind of exchange might have happened between Earth and Mars (in both directions). More recently, debate over possible microbial life in the thick clouds of Venus has renewed interest in whether material could also move among Venus, Earth, and Mars.” (ScitechDaily, Earth May Be Seeding Venus With Life, According to New Research)

The icy Novichok poison. 

We must remember that there were also many other chemical weapons programs other than the KGB’s Foliant. 

The fog droplets can also involve things like crystals and protein bags. If droplets are created around things like nerve agents like VX, they can create a layer that allows those chemical weapons to pass gas sensors. In some models. The KGB Foliant program also created the Novichok version that is based on the ice bites. The nerve agent or cytotoxin is contained in the droplet that is frozen in the ice. The ice bite will transport those chemical agents through the sensors. And we know that the Novichok is not only a project. There. The carrier crystal has been tested. 

The thing that makes Novichok agents so powerful is that victims breathe them. In the lungs. There. Those chemical agents are usually nerve agents. Or. Organophosphates release. This increases their poison effect. Traditional nerve agents. Will travel. Into. The human body through the skin. The Novichok is like powder. There is a possibility. That there are versions. 

These are more suitable for mass use. But the primary role for Novichok is rather being an assassination weapon than a battlefield weapon. The carrier crystal . It can also carry things. Like cyanide particles. The carrier capsule can also be in water or carbon dioxide ice. That releases a chemical actor when the temperature rises. 

The idea behind those things is this. The carrier capsule. That can be water ice, some kind of sugar, or cocaine crystal, which protects the chemical agent that can be VX. Or, botulinium. The carrier crystal denies. The sensor to see that chemical weapon. The idea is that the system delivers the “red snow” on the ground. Then, some kind of EM radiation or other thermal system will melt those droplets. If there are things like sulphuric acid crystals on that snow. That melting ice reacts with the sulphuric acid. And forms fog, there is botulinum or some other chemical weapon. 

https://scitechdaily.com/earth-may-be-seeding-venus-with-life-according-to-new-research/

https://scitechdaily.com/its-alive-surprising-discovery-changes-what-we-know-about-fog/

https://scitechdaily.com/scientists-create-living-plastic-that-self-destructs-in-just-six-days/

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

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

https://medium.com/@batrobin/living-fog-and-alien-liforms-with-the-kgb-applications-fee72114e439

The Pentagon and SpaceX cooperation goes deeper.

Image: TWZ

The Pentagon and SpaceX cooperation goes deeper. When new deals are made with satellite-based early warning networks and the LUCAS Kamikaze-drone connection with Starlink. Will be turned. Into reality. That is the next step. To the Starlink and Pentagon cooperation. These types of plans also accelerate the militarization of space. The systems that track. Own troops. And guiding smart weapons. Are. Vital for successful military operations. That makes them high-potential targets for anti-satellite systems, ASATs. If those satellites can be shot down. That decreases the enemy's ability to control and command warfare. 

This means that those satellites must be equipped with self-defense systems. And those active systems can also be used to destroy other satellites. 

But the price is that. If the deliverer of the service. Shuts it down. So, there is no service. These kinds of deals raise the power. Of the private industry at the Pentagon. Those contracts. They fall into the hands of well-known, trusted service providers. That increases SpaceX's power in space. 

The Pentagon’s dependence on SpaceX continues to grow. The Pentagon awarded. A $4B contract with SpaceX to create a satellite network. The purpose of that network is to track aircraft and hypersonic missiles from space. The system should include the optical and radar systems, boosted with AI. The system can track any aircraft. From the atmosphere with a very high accuracy and speed. The system should replace the old E-3 Sentry AEW&C aircraft. The E-3 plays a vital role in tracking low-flying objects. But things like anti-radiation missiles can endanger that aircraft’s missions. 

It’s possible that things like drones with the lookdown radars and optical sensor packs can replace the E-3. And those systems can share information with the fighters, ships, and ground units. And connect sea, land, and airborne command posts to networks. That communicates. In real-time. With  the overseas military command centers. 

Image: TWZ

In the same way. Those E-3 “Sentrys” are not. A very good tool for tracking very high-altitude hypersonic missiles. That travels in the high atmosphere. This is the reason why a new global system is needed. That can get and share. 

Mission-critical information for AA and aircraft to destroy incoming hypersonic missiles. And this is the reason. A new satellite-based system is needed. The satellite network with optical sensors can replace the traditional GPS. The aircraft can send. The location information is transmitted to those optical satellites. Using laser rays. And then those satellites send the image. Of the flying area. The aircraft travels back to that aircraft using lasers. The laser dot shows the stealth fighter's position to the satellites. Those satellites will use AI and hivemind technology. For tracking and following targets. 

Another thing that is interesting. It is the connection between the Starlink systems. With LUCAS kamikaze drones. The Starlink satellite communication platform can replace the GPS. The system requires a map. It can connect with Starlink’s location information. Starlink uses a similar technology. To GPS. For tracking the transmitting modems. This makes it possible to control drones and other systems. Like the smart bombs to target with the GPS. This kind of technology. Created originally for the Ukraine war makes the GPS unnecessary. These kinds of systems are maybe planned to be used by the Pentagon to protect the GPS system for the nuclear weapon’s core operations. 

When the GPS is used. With a large-scale conventional weapon guidance, it’s possible that the opponent gets its frequencies. And that can mean that in the case of nuclear war. The enemy might know. The frequencies of the GPS. And tries to jam them. When some systems are used all the time. There is a possibility. That the enemy knows its details. There is a possibility that the enemy even tries to spoof the location information. And even tries to aim weapons at the opponent’s own targets. This means that the submarine can fire on its own cities. And this is one of the reasons why nuclear weapon control must be separated from other weapons. 

https://www.twz.com/space/pentagons-plans-to-track-aircraft-from-orbit-accelerated-with-new-4b-spacex-deal

https://www.twz.com/news-features/cost-to-link-lucas-kamikaze-drones-to-starlink-highlights-pentagons-ever-growing-dependence-on-spacex

The new chip uses light instead of electricity to process information.

“An artist’s illustration of a photonic valleytronic chip for information processing. Credit: Dr. Chi Li”. (ScitechDaily, Scientists Create Tiny Chip That Uses Light Instead of Electricity To Process Information)

The new model. The photonic microchip is based on valleytronics. “The breakthrough centers on an emerging field known as 'valleytronics,' which aims to store and process information using quantum properties inside advanced materials. Scientists have long viewed the technology as a possible path toward faster computing, lower energy use, and more powerful communication systems. But one major challenge has held the field back: no one has successfully combined all the key functions into a single compact platform.” (ScitechDaily, Scientists Create Tiny Chip That Uses Light Instead of Electricity To Process Information)

Many models have been developed to replace electrons and electricity with light in computers. The photonic computers. Or, photonic microchips are tools that replace electricity. By using laser light.  In the binary versions. The computer uses a certain brightness to transmit. Ones. And zeros. Brighter light usually means one. And a dimmer light can mean one. But there is also a possibility. To exchange. Those values. like. That one is dimmer, and zero is brighter. This helps the computer. To see if the electricity is cut. In the photonic computer, the system is usually. 

Sends laser beams into the photovoltaic cell. This makes it possible to transform electric impulses into laser beams. And oppositely transform electric impulses into photonic information. The photonic system requires less electricity than electric systems. In primitive quantum systems. Light can travel through different routes. The UV. And IR wavelengths can mean. Zero and one. If the system uses UV light. Or visible light frequencies. That heat load is lower than the IR can give. 

But the new method. Called: valleytronics. It can be the game-changer. “Valleytronics (from valley and electronics) is an experimental area in semiconductors that exploits local extrema ("valleys") in the electronic band structure. Certain semiconductors have multiple "valleys" in the electronic band structure of the first Brillouin zone, and are known as multivalley semiconductors. Valleytronics is the technology of control over the valley degree of freedom, a local maximum/minimum on the valence/conduction band, of such multivalley semiconductors.” (Wikipedia, Valleytronics)

The valleytronics allows for trapping multiple qubits. That form in spintronics in those valleys. “The term was coined in analogy to spintronics. While. In spintronics, the internal degree of freedom of spin is harnessed to store and manipulate. And read out bits of information, the proposal for valleytronics is to perform similar tasks using the multiple extrema of the band structure, so that the information of 0s and 1s would be stored as different discrete values of the crystal momentum.” (Wikipedia, Valleytronics)

As we see in the image above. The valleytronic chip involves small valleys. That allows the system to control and manipulate light by turning those quantum cylinders. 

The new system connects ultra-thin materials with the light and its quantum properties. Those materials are only a couple of atoms thin. And they can control light in new ways. “Photonic devices use light to achieve massive bandwidths, ultra-fast data transmission speeds, and lower energy consumption, so what we have achieved has strong potential for applications in quantum computing, advanced imaging, and next-generation optical communication systems.” (ScitechDaily,Scientists Create Tiny Chip That Uses Light Instead of Electricity To Process Information)

https://scitechdaily.com/scientists-create-tiny-chip-that-uses-light-instead-of-electricity-to-process-information/

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

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

Wormholes, teleportation, and cosmic rays.

"A wormhole visualized as a two-dimensional surface. Route (a) is the shortest path through normal space between points 1 and 2; route (b) is a shorter path through a wormhole." (Wikipedia, Wormhole)

"A wormhole is a hypothetical structure that connects disparate points in spacetime. It can be visualized as a tunnel with two ends at separate points in spacetime (i.e., different locations, different points in time, or both). Wormholes are based on a special solution of the Einstein field equations. Wormholes are consistent with the general theory of relativity, but whether they actually exist is unknown. Many physicists postulate that wormholes are merely projections of a fourth spatial dimension, analogous to how a two-dimensional (2D) being could experience only part of a three-dimensional (3D) object. " (Wikipedia, Wormhole)

Quantum teleportation is the case. The so-called string that connects superpositioned and entangled particles transports information. This thing causes a hypothesis. That somewhere in the future, people can transport information faster-than-light. Or even move things across the place with incredible speed. When we think about quantum teleportation and its connection with particle teleportation. And faster-than-light transportation, we must understand one thing. 

The paradox of crossing the speed of light is this. The speed of light depends on the medium. In a vacuum. The speed of light is faster than in the atmosphere. So, crossing the speed of light is easy. If we can form the universe, or space. There. Light travels faster than around that space. This means that. In quantum teleportation. The system makes a superposition between the particles’ quantum fields. 

And then that string-shaped structure, the energy bridge that transports information, can travel in an energy tornado, or a tube where the light travels faster than around it. The idea is this. Entropy in that tornado is lower than around it. The information travels in that string inside the quantum tornado in the form of the wave movement. 

In the same way. It is possible to teleport particles through the quantum channel. This makes it possible. To create short-distance teleportation. 

The particle-size object. Or the particle-scale teleportation. Happens. Through the electromagnetic wormholes like this. The system makes. The quantum tornado between the halos or quantum fields of the particles. Energy travels from. A higher-energy particle to a lower-energy particle. Or, in this case, energy travels between the quantum fields that surround those particles. If the difference between energy levels is high enough. Energy that comes from behind pushes the particle into that electromagnetic tornado. 

Could a wormhole explain some of the cosmic rays? 

The gravitational wormhole. That makes interstellar travel possible. It could be imagination. It can work in the same way. But the main problem is this. The wormhole structure can exist. But maybe it's too small, so that anything other than single electrons could travel through it. 

Sometimes the wormholes are introduced as the reason for comic rays. When a particle comes out of the wormhole. It releases its energy very fast. The wormhole denies. The particle’s ability to release its energy. 

So, it locks energy inside that particle. And the exit of the energy. Causes the cosmic rays. The wormhole or energy channel must not be very long. The thing. The particle crosses the speed of light at the point when it comes out of the wormhole. And that thing sends the shockwave. That is similar to Cherenkov radiation. 

https://scitechdaily.com/after-100-years-scientists-uncover-hidden-rule-governing-cosmic-rays/

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

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

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

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

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