The new drone can operate on land, in the air, and underwater.

"Illustration of a 3D-printed drone transitioning between air and water environments, generated by artificial intelligence." (Rude Baguette)

The new drone can operate on land, in the air, and underwater.

In the 1930s, the Soviet engineers tried to create the aircraft-submarine combination. That system could slip near the target underwater and launch attack systems. Then that system can fly away from that area. The problem was that technology was not advanced enough. But AI-controlled quadcopters can make it possible to create that kind of system. Theoretically, the nuclear-powered systems can make even full-size “flying submarines” possible. The system can use quadcopter technology. The new drone can dive and fly. But there is a possibility to make those drones more versatile than systems that can fly and dive. The new drone can have multiple sensors, such as sonars and radar altimeters, at the propeller frames. 

The quadcopters are less sensitive than helicopters to cases where they hit some walls if their propellers are protected by using frames. The rotating frame allows the system to travel through very narrow points. And if the system can adjust the propeller's position by pulling them together when the robot or quadcopter system swims through a narrow hole, it makes those systems more flexible than a regular helicopter can be. 

 But the smaller systems can make it possible to create systems that can fly, dive, and drive on roads. 

The new drone can operate in the air and underwater. An interesting thing in hydro- and aerodynamics is that using the same dimensions, it is possible to make many sizes of crafts from pocket-size applications to truck-size systems. The next step can be a drone that can drive on roads, fly, and travel underwater, which can slip in places where regular drones cannot operate. Those drones can travel in aircraft safety hangars. And the AI-controlled drones can stay on the ground and wait for the right moment. 

That kind of technology is the new tool for many things, from research to leisure, and military applications. The drone that can turn its propellers to push along the frame can make it possible for those systems to operate underwater. Then the propellers or propeller pairs can turn into positions that make the system a “regular” quadcopter. And finally, when the drone operator wants to drive on the road, the propeller frames act as wheels. Those drones can act as research systems, or they can even transport groups of people. 

The high-tech system operates almost independently. And that makes the system easy to handle. Those systems can be manned or unmanned. And they can be dropped from airships, aircraft, or from submarines. The ability to travel on ground, airborne, or underwater makes it possible for drones to operate in complicated situations. They can observe drain systems. They can travel in caves that can be very narrow. The ability to travel in three elements gives those drones abilities that can be used in some accident, or as a military target. 

Theoretically, that kind of drone can carry even small nuclear explosives.  Those drones can be delivered from some airships or bigger drones. And the thing is that those modern drones can be carried using manned aircraft, or some larger-sized drones, or even satellites. There are many roles that drones can play. They can travel over an area and send wake-up signals to the eavesdropping and surveillance tools that somebody has hidden in offices and other rooms.  

https://www.rudebaguette.com/en/2025/07/this-thing-shouldnt-even-work-viral-student-drone-stuns-engineers-as-it-flies-dives-and-swims-like-a-high-tech-beast/                                                                                                                                                                                                                                                                                                                                                                                                                                    

Copyrights are not only things that cause criticisms against the AI-made films.

"Illustration of Netflix's use of generative AI in producing scenes for its original series." (RudeBaguette, “This Isn’t Art, It’s Algorithmic Propaganda”: Netflix’s GenAI VFX in New Series Sparks Industry Backlash and Fan Revolt)

Netflix faced criticism when it changed the' featured scenes using AI. That thing fights against copyrights. Another aspect is that the AI can include an actor's character in movies that are against the actor’s values. But this is not the worst thing on this path. AI-generated movies are tools for propaganda. 

The AI can create characters that look like real people, and those characters can even yell nazi propaganda. The AI can create an artificial model of any person that it sees. So the AI can use images from surveillance cameras to make those images and then put them into a film. That kind of ability allows for the misuse of the AI. 

That kind of tool is dangerous if those films are introduced as real life or documents. Normally, we know that at least most of Western film actors and filmmakers have such high morale that they don’t make those kinds of contracts. But in countries like North Korea, the government plays by different rules. That means those people can make films and use them as propaganda. But in the AI-created films, there is one difference between those films and traditional films. The AI will not say “no”. And that means those tools make everything. That's what their operators want. So, that tool can create anything that its users wish. 

The AI doesn't require any crew, and the operator can do everything alone. The AI has no will. Humans determine the limits of those systems. And there is a possibility that somebody includes their neighbors or other competitors in the surveillance tapes where they steal things. Or the AI can include any person in things like child pornography. You might also think about what things like fake police surveillance tapes can do to humans. That kind of thing can destroy any person’s reputation. 

And there are many different motives for that thing. The political motive could be that the competitor's reputation, or the motive for those things, can be that the competitor in working life can be erased by destroying those people’s reputation. 

https://www.rudebaguette.com/en/2025/07/this-isnt-art-its-algorithmic-propaganda-netflixs-genai-vfx-in-new-series-sparks-industry-backlash-and-fan-revolt/

The new components can boost the AI.

"A new discovery in atomic-scale magnetism may hold the key to the future of high-speed, compact, and energy-efficient technology. (Artist’s concept). Credit: SciTechDaily.com (ScitechDaily, Researchers Solve Long-Standing Magnetic Problem With Atom-Thin Semiconductor)

When researchers make new applications like autonomous robots, those systems require new types of advanced microprocessors. Things like advanced algorithms require effective microchips. And effective microchips allow developers to develop new and more complicated programs and algorithms. When developers create new systems, they often encounter a new need that they need to solve. Even if developers use effective and compact programming languages, the code grows and becomes complicated. 

And complicated code requires new processors that can drive it without problems. The problem is that in small-sized systems, smaller processors. And smaller processors require new types of architecture. In larger systems, it is possible to put more small processors in the same space. And that gives new abilities for multitask systems. The number of processors determines how many operations the computer or data center can perform in the same time. And that is the key element in the large language models and self-developing AIs. 

"A schematic representation of magnets composed of CrPS4 included in a motherboard circuit for future electronic devices. Credit: Elton Santos" (ScitechDaily, Researchers Solve Long-Standing Magnetic Problem With Atom-Thin Semiconductor)

The main problem with AI is the need for power. Powerful microchips require lots of electricity. And that electricity brings temperature problems. The temperature problem means that the resistance in the system rises when the temperature rises. Sooner or later, that starts the accelerating process that destroys the system by cutting wires. The result is a cooling system that requires lots of energy. The AI can use nuclear reactors, solar panels, or geothermal energy. The system should produce its energy. Miniature nuclear reactors or geothermal energy are the most stable versions. 

There are attempts to remove the oscillation by putting those wires in the water tubes and raising the pressure in the system. Rising pressure decreases oscillation, which causes resistance. And theoretically, it is possible to create room-temperature superconductors using high-pressure systems. The main problem is what if the pressure system faces damage? Leaks in the high-pressure system are dangerous for people and systems in the same space. 

"Artist’s illustration of the new tunable ring laser. Credit: Joshua Mornhinweg" . "The ring design has potential applications in telecommunications, medicine, and other fields." (ScitechDaily, Harvard Scientists Unveil Tiny Ring Laser With Giant Potential) A ring laser can be used as a photonic box wrench. That can adjust photons' and atoms' energy levels. 

The other way to solve the temperature problems is simply. Create photonic processors where photons replace electricity as data transporters. Laser rays can transmit data between microchips, and in that model, the microchip itself is traditional. And the wires that connect microprocessors in one entirety are replaced by laser rays. The laser rays transmit data to the processor through the photovoltaic cells. Or certain wavelengths or colors in laser rays, like green and red, can mean zero and one. 

"Schematic of tailoring the resonant reflection via radiation directionality in misaligned metagratings. The novel bilayer metagratings selects only a single angle and a single wavelength under incidence with broadband spectrum and wide angles. This is achieved through a “directional eraser”, that precisely suppresses light’s spectral signature along a dispersion curve. Credit: Ze-Peng Zhuang, Xin Zhou et al." (ScitechDaily, One Tiny Structure Just Broke a Fundamental Rule of Optics)

Fully photonic processors require new ways to control light and optics. The new materials allow the closure of the route of light. And then open that route. When light travels through a material, it gives value one for a microchip. And when material blocks light, the value is zero. 

In quantum systems, each color can mean each quantum state. There is also the possibility of sending laser rays through the nanotube that is used for electric transmission. That laser ray acts like a thermal pump. The fully photonic system, where all data travels in photonic form, can also have the ability to use the ion flow as a cooler. The ion system can transport ions through components. But the problem is that those systems disturb the electricity in the microchip. 

The 2D materials allow the system to transport heat out of the system. That makes it possible to create smaller and more effective processors. Those systems, like tiny ring lasers, can transport data to those 2D structures. The 2D network can have the silicone base photovoltaic points where the laser systems transport information. 

The idea is that those photovoltaic cells transform photonic information into electrical impulses. And that can make the system more effective. There is a possibility to use laser light as a thermal pump. An extremely thin laser ray travels between those layers and transports thermal energy out from the processor. 

https://scitechdaily.com/harvard-scientists-unveil-tiny-ring-laser-with-giant-potential/

https://scitechdaily.com/one-tiny-structure-just-broke-a-fundamental-rule-of-optics/

https://scitechdaily.com/researchers-solve-long-standing-magnetic-problem-with-atom-thin-semiconductor/

Is AI a black box?

In the black box model, the only thing that means is the thing that the outside observer sees. That thing was the primary element in early 20th-century psychology. And the most modern observation tools are changing that thing. But in the early 20th century the brains were totally unknown. There was no change to research living brains. When EEG systems developed researchers could investigate the brain shell electricity. 

But things like PET and MEG scanners open new ways to see how brains work. But if we think of brain research as the box model, the early 20th-century models were black box models. The modern scanners brought the glass box or white box model to brain research. And the AI brought the grey box to neurology. That means the brain-computer interfaces, BCI, where researchers use brain electricity to control computers and soon read thoughts. 

When developers use the black box method to test programs they simply test that the program works. When we make the black box model for psychological learning methods, we can think about some 9-year-old child. That child can read almost everything and we can put that person to read even complicated scientific articles. The child can read those words but that person doesn’t understand what those things mean. The black box means that the actor can make many things, but the action is the only thing that the outside observer sees. That means that black box applications are not as safe as they could be. 

And most of the computer applications are black boxes for users. A regular user sees the interface and that’s enough.  In the white box or glass box application test, the tester tests the code. In the grey box, the test unit tests the functionality and code in the case of programming. The fact is that the AIs that we see are black-box applications. We see only the command line and the answer or thing that the AI makes. We don’t actually know even if the images and texts that we order the AI to make are made by some humans. 

In the case of the black box, the only thing that matters is that the system gives the right answer. The way the system makes that answer doesn’t matter. The only thing that the user sees means something. 

Is AI a black box? The idea of AI intelligence is something that is handled very little. We know that AI can solve many problems independently, but AI doesn’t know what it really makes. The AI can know many things, but it cannot have deep knowledge about those things. The model is taken from the black box psychology. In black box psychology, the key element is that the behavior that an outsider observer sees is something that we can accept. That means the AI just mimics human intelligence. The black box model means that the AI can give the right answers for some mathematical problems. 

But the same AI cannot make anything else. That is the idea of the black box. In the black box model, the thing that the AI gives the right answer is enough. The AI must do only things that the operator orders. So when the operator asks about the uranium enrichments and something like that the AI must give the answer. It must not make its own connections to things like weapon development. There can be things that deny the AI to give orders that can cause damage to operators or their environment. But those orders are in the AI’s code. The AI doesn't make those orders itself. 

The AI is sliding to the grey box application. For making autonomous learning the AI must have access to its source code. And the second thing is that the AI must have the ability to test the code. The AI can involve three parts. The system that creates the code. Another system that tests and accepts the code. And the last system that keeps the backup copy of the AI source code. A backup is needed for the errors. The system should have the ability to reject the code that is not functional. 

Quantum entanglements and human consciousness.

Researchers noticed that human brains emit light. That very weak light that very sensitive sensors see is the thing that causes interesting ideas and thoughts. The fact is that we know that there is nothing meaningless in human brains. And that strange light must have some connection to brain activity. The question is can part of our thoughts be based on quantum entanglement between some electric or photonic field in human brains? 

The human brains have the capacity to feel magnetic fields because axons transport electric signals. The question is what parts in our brain make that entanglement? Do neurons trap ions like protons into the ion pumps and then make quantum entanglement with them? There is suspicion that the myelin cylinders are the key element in the brain's quantum entanglement. 

If that structure is the thing, that is behind the human brain's superiority it would be the ultimate boost for quantum computing. Researchers can copy that structure into the quantum processors. And make room-temperature quantum computers possible. 

The quantum entanglement can be made between axons or electric fields around axons. We know that human brains will not make anything that it doesn’t need. And the thing is that the very weak light in brains can have its purpose in the thinking process. There is also another interesting thing that researchers noticed. The human brain cells are growing in old age. The memory cells make new neurons all the time. The reason why our cognitive abilities decrease when we turn older is that our brains lose more neurons than they can replace. 

"Liu et al., Physical Review E, 2024

"A closer look at myelin cylinders and its location along the neuron’s axon." (Popular mechanics, Quantum Entanglement in Your Brain Is What Generates Consciousness, Radical Study Suggests)

The finding of the thing. That makes superposition in human brains. Can uncover and supercharge the quantum computer's advance. 

Or neurons start to remove connections faster than before. The destructive thing is that the number of axon connections will decrease so fast that brains cannot adapt to that situation. Our brains simply don't have time to transport memories to the next neuron generation. So do we use our brains less in middle age than in young ages? Do our brains cut so many useless axon connections that they cannot save memories? 

But the problem with alcoholism and some other brain damage caused is that those things destroy brain cells faster than the new brain cells can form. When the memory cell creates a new brain cell, that cell is meaningless without its memories. Brain damage sometimes means that the brain memory neurons have no time to send the memories to those cells. That makes them "empty". 

If those neurons exist they cannot perform the same duties as their precursors can. The cell loses its instructions on how it must make those things. Without those memory units, the neuron cannot do anything. The ability to create new neurons in the old ages makes it theoretically possible to input data, or “train” those new cells and then inject them into human brains. 

The big question is does AI make us less intelligent than our precursors were? The thing is that if a person uses lots of AI the person uses less brain capacity than a person who uses less AI if we think about the neurological aspect, if brains do not use some neural tracks that means that neurons remove those tracks. So if a person writes all texts and draws all things using the AI that can decrease the use of axons and that can decrease the IQ if that happens over a long period. When a person doesn’t use neural tracks that means brains will remove those tracks. 

When people use artificial intelligence for essays they must not think. They must not collect information and the main thing is that they must not process that data. The AI will give them a correct set. And that doesn't give them a chance to process and taste information. In the worst case, the student simply copy-paste the test task to AI. And that makes the essay for them. That doesn't require very much thinking. And in that version, the student cannot advance very much. 

So that means that it’s necessary that people use their brains for thinking. Without thinking, brains disconnect their connections. People say that we should read books and advance our way of thinking. But the problem is this: we have no time to read. 

https://www.euronews.com/next/2025/06/21/using-ai-bots-like-chatgptcould-be-causing-cognitive-decline-new-study-shows

https://www.laptopmag.com/ai/chatgpt-study-by-mit

https://www.popularmechanics.com/science/a65368553/quantum-entanglement-in-brain-consciousness/

 https://www.sciencealert.com/your-brain-emits-a-secret-light-that-scientists-are-trying-to-read

B https://scitechdaily.com/brain-cells-keep-growing-even-in-old-age-study-finds/

Green energy and hydrogen economy.

Things like windmills or wind generators can bring energy to systems that separate hydrogen from seawater. The same electrolytic system that breaks water molecules can also form chlorine and sodium. The other thing that the windmills or wind generators can involve is the radar system. The radar system can also be installed in the wing of the wind generators. That system can have some civil and military applications. 

And in the most futuristic visions, sea-based wind generators can also operate as laser stations. The laser system can be at the foot of the wind generator. And that kind of system can be a very powerful tool. The large carbon dioxide laser that is hidden in the wind generator can be used to destroy even ships by cutting their hulls. 

The hydrogen economy should be the goal for energy. Hydrogen is a fuel that can use existing energy infrastructure.  We all know that hydrogen is easy to get. The green energy and nuclear power can be used to create electrolysis that splits water molecules. But the fact is this. The main problem is the energy that splits water molecules. And another thing is that hydrogen that is created or separated from water doesn’t help with things like greenhouse gasses. 

There are two ways to make pure hydrogen. 

1) The most well-known thing is to separate it from water. The electrolytic system just splits water molecules. 

2) The other way is to split hydrocarbon molecules into carbon and hydrogen. 

If the system filters or otherwise breaks the methane molecules into hydrogen and carbon that removes the greenhouse gas from air. And that decreases methane emissions. The first way to remove carbon is simply to use an active carbon filter. And the other one is to use IR light that gives resonance to the methane molecule. 

The system can simply use centrifugal separation to separate hydrogen and carbon from each other after the system splits the hydrocarbon molecule. In the same way, IR light can separate and break the carbon dioxide molecules. The active carbon filter should also remove oxygen from carbon dioxide molecules. 

The main problem with hydrogen production is that these kinds of systems require money. Another thing is that those windmills and other things change the landscape. And the third thing is that some eagles fly into the wind generators' wings. An interesting thing is that no eagle ever flew in the aircraft's turbine. But because people see that one eagle flies against the wind generator's wings. 

That makes them resist the wind energy. People don't see that thousands of eagle chicks die because of thirst and heat in forests.  They see that the one eagle smashed into the wings of the wind generator. And that makes that system dangerous. The fact is that if we think about how the electricity should be pumped to the electric network we should never put electricity straight into those electric networks. 

The system requires a battery system. That helps to keep the voltage stable on cloudy days if the system uses solar panels. Or calm, in the case of wind energy. And another thing is that. The system must not be based on one monolith solution. The system should have multiple systems. That produces electricity even if there are calm days. The battery platforms between the power unit and network help to avoid situations that cause electric cuts in southern Europe. 

The worst possible situation could be that the solar panels will not produce enough energy. That means that other systems must increase their power to maintain the voltage. Then if energy production suddenly starts again. That causes an overload in the network. That is more dangerous than the low voltage situations. 

Mathematics, geometry, and quantum.

In the image in this text is an image of lupine and image of a quantum experiment there is tested Landrauer's principle. “Landauer's principle is a physical principle pertaining to a lower theoretical limit of energy consumption of computation. It holds that an irreversible change in information stored in a computer, such as merging two computational paths, dissipates a minimum amount of heat to its surroundings. It is hypothesized that energy consumption below this lower bound would require the development of reversible computing. The principle was first proposed by Rolf Landauer in 1961.” (Wikipedia, Landauer's principle)

Both the flower and those quantum fields form the tower. And the remarkable thing is that those quantum fields form a similar structure as a series of coils that send radiation from their sides. That kind of quantum tower can send information to the receiving coils or layers if they are against each other. Same way a radio antenna transmits information from the points where the Hall effect forms the plate-shaped expansion into the electromagnetic (quantum) field between atoms. 

"Quantum magnetometers are breaking barriers in magnetic sensing — but are they really quantum? A new study digs into how far these devices can go and what defines their quantum nature. Credit: SciTechDaily.com"(ScitechDaily, Quantum Sensors That Hear Magnetic Whispers – And Push Physics to Its Limit). Those sensors could form a tower that can scan quite a large area. 

Quantum magnetometers can detect incredibly small changes in magnetic fields by tapping into the strange and powerful features of quantum physics. These devices rely on the discrete nature and coherence of quantum particles—behaviors that give them a major edge over classical sensors. But how far can their sensitivity go? And what actually makes a magnetometer “quantum?” (ScitechDaily, Quantum Sensors That Hear Magnetic Whispers – And Push Physics to Its Limit)

Those fields form when an electromagnetic wave travels between atoms.  When that wave hits an atom's quantum field it causes a wave. That wave or resistance makes it possible that the system can press information into the sides of the antenna.  When we think about those Hall fields and those flowers, we can imagine a situation where those flowers could send chemical signals from their flowers to another flower. That thing is not proven. But the lupine flowers can act as models for directed radio transmitters that send coherent radio signals to the receiver. 

The second image introduces the model of the quantum fields around quantum sensors. Those quantum fields allow those sensors to sense things that were unable to detect before. When we think about things like quantum computers, erasing information is also important. If we can trap wave movement into the bubble, we can erase that information by pressing wave movement into a straight position. 

We can see that the same forms repeat in nature. The image from the Landrauer’s principle has a similar form with flowering plants. And that causes an interesting question. Can we someday calculate things like quantum fields' form in situations where some high-power energy impulse hits them. If we think that the quantum tower is similar in all sizes of quantum systems, we can make the new types of quantum systems that are more sensitive than ever before.  

There is a possibility that the quantum sensor looks like the quantum tower where the electrons or photons hover between objects and those quantum fields. When we make superposition and entanglement we must know everything from the system. We must predict things like FRBs and other changes in the power of electromagnetic fields. 

https://phys.org/news/2025-06-approach-probing-landauer-principle-quantum.html

https://scitechdaily.com/quantum-sensors-that-hear-magnetic-whispers-and-push-physics-to-its-limit/

https://scitechdaily.com/the-quantum-price-of-forgetting-scientists-finally-measure-the-energy-cost-of-deleting-information/

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

Can the fifth force hide in neutrons?

 

"In physics, a fifth force refers to a hypothetical fundamental interaction (also known as fundamental force) beyond the four known interactions in nature: gravitational, electromagnetic, strong nuclear, and weak nuclear forces. Some speculative theories have proposed a fifth force to explain various anomalous observations that do not fit existing theories. The specific characteristics of a putative fifth force depend on which hypothesis is being advanced. No evidence to support these models has been found." (Wikipedia, Fifth force)

The Muon g-2 anomaly in Fermilab does not prove the fifth force's existence. But the anomaly or wobbling trajectory in those muons means that something brought unexpected energy into the particle accelerator. And one explanation can be that some neutrons decay in the particle accelerator. When neutrons or some other particle decay. 

That releases energy. Sometimes it is suggested that maybe those muons hit the neutrinos. Or some other muon or some other short-term particle released an unexpected photon into the particle accelerator. The fact is that the Muon g-2 anomaly didn’t rewrite physics. But it restarted discussions of the fifth force. 

There are four other fundamental interactions. 

-gravity

-electromagnetism

-weak interaction

-strong interaction

All other than gravity have pushing and pulling effects. So, could the hypothetical fifth force have only a pushing effect? 

There are theoretical models. That there is a fifth force in nature. That force closes all other fundamental forces or fundamental interactions inside it. 

If we consider that the fifth force arises within the neutron, could the rotation of two quarks around one quark generate that force? So those three quarks absorb a quantum field from the spin axis and throw it onto the neutron's equator. At that moment, a quantum shadow is created at the points of the surfaces of the neutron's whisk-like structure. In other words, the shadow enters the neutron from the direction of the spin axis and exits from its equator. 

In that model quarks that orbit each other and the quark middle of the system form the electromagnetic, or quantum point that puts two down quarks to orbit one up quark. In that model, the lower energy up quark makes an electromagnetic, or quantum vacuum in the neutron. Those two up quarks form the quantum field that hits the up quark. The up quark forms an energy beam that transports energy out from that structure. That energy transfer forms energy at low pressure that keeps neutrons in their form. 

The orbiting quarks harness energy from the quantum field inside the neutron. That keeps the neutron in its form. But sooner or later, the neutron will decay. The existence of a neutron remains for about 18 seconds if it comes out from an atom. And there is a possibility that neutron decay is caused by the fifth force. We know that if a fifth force exists, that force is wave movement. And the thing that determines the fifth force wavelength is the size of the structure that sends that wave movement. 

That thing means that the fifth force can be the force between electron shells, or orbitals and neutrons. The key element in the fish force is this: there is something that researchers have not noticed before. One possibility is that the force between proton and electron is different from the force between neutron and electron. That means the fifth force can be the force that has only a pushing effect. And there are models where there is only one natural force in the universe. 

The Grand Unified Theory, GUT theory suggests that all four fundamental interactions are the same. In the same way, all elementary particles are the same. And the thing that differentiates the electron from the quarks is the energy level. And in that model bosons are only wave movement. The size of the particles determines the wavelength of wave movement. So all bosons are virtual particles, and the only thing that moves is wave movement. That theory is one of the most fascinating models that is made of the universe. 

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

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

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

https://en.wikipedia.org/wiki/Muon_g-2

Fiber drones are deadly tools.

FPV drones are deadly tools in the Ukrainian war. The Russian-developed optical drone is a fiber controlled which makes it immune to regular ECM systems. The control transmission travels through optical fibers, allowing the drone to operate in heavy jamming environments. Thin optical fiber makes it possible for a drone can operate 20-30 kilometers away from the operator. Dropping drones with regular ECM is not possible. So they can beat any jamming. 

But things like higher-power radio and microwave systems that burn those drone’s electrics can be the answer. The fiber-controlled drone is theoretically easy to destroy if somebody finds the control fiber and cuts it. If the defender finds the fiber normal scissors would be enough to cut the fiber. And one answer for that deadly problem can be a drone that is equipped with wire cutters. 

But the real answer can be the laser system that engineers can mount to cars and other vehicles. The laser ray can cut the optical fiber quite easily. The industrial laser can just grope the drone and its environment. And if the optical fiber is cut the control signals cannot reach the drone. The laser system can include lidar and weapon systems, or modes. When the system is in a surveillance model, it uses a large cone. And when the system cuts those optical fibers and destroys drones it uses the cutting laser beam. 

There is a theoretical possibility that if the opponent system can search and locate the command wire benefiting the light that is leaked from that fiber, that system can follow the optical fiber using a light amplifier. That leaked light can make it possible for the counter system to send drones to locate the operators or the drone support station where the optical signal has its origin. But that requires quite expensive tools. And the optical fiber must also leak light. 

Drones are a good example of how the improved weapon faces an improved defender. In early war large-size drones that were like remote-controlled combat aircraft ruled the battlefield. But the R&D work brought smaller, and cheaper FPV-kamikaze drones to the battlefield. The ECM, or electronic countermeasure signals made those drones useless. And the remote-control systems are easy targets for artillery that can locate them using their radio signals. The ECM can cut those signals easily. 

So the answer was the wire-controlled drones that were and are immune against ECM. The new solution could be a laser weapon that cuts those command wires. The next step is the independently operating drones that can search and attack targets independently. Those drones are tools that are cheap. And cheap prices make their advance fast. Drones along with the AI will revolutionize warfare. AI is cheap to use. If the algorithm is well done, operators must only load necessary programs to them. 

https://www.ga.com/advanced-weapons-technology/laser-weapon-systems

https://kyivindependent.com/as-russias-fiber-optic-drones-flood-the-battlefield-ukraine-is-racing-to-catch-up/

https://www.sustainability-times.com/energy/laser-powered-weapons-are-here-u-s-military-abandons-cables-in-radical-shift-that-could-revolutionize-battlefield-tech-forever/

https://www.twz.com/news-features/inside-ukraines-fiber-optic-drone-war

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

Do it Yourself, DIY hobbyist-made homemade, portable lasers that can melt even steel.

Illustration of a groundbreaking 250-watt handheld laser device created by YouTuber Styropyro. Image generated by AI. (SustainAbility Times, “I Built a Laser from Hell”: YouTuber Unleashes World’s Strongest Handheld Beam That Instantly Melts Metal and Ignites Anything)

Above: (SustainAbility Times, “I Built a Laser from Hell”: YouTuber Unleashes World’s Strongest Handheld Beam That Instantly Melts Metal and Ignites Anything)

Laser is not a toy. One single laser LED can burn the paper. In the second film, you see that the 1W laser LED can put newspaper on fire. But, the most powerful hand-held, homemade laser can make much more. The YouTuber named Drake Anthony made that thing. And its introduced in many media pages. The first film is about that, the most powerful hand-held laser. 

The 250 W laser uses LED-based technology. That makes it possible to make portable lightweight, high-power laser systems. That laser can melt steel and those things make them very dangerous in the wrong hands. The laser system that shoots a laser beam through the laser lead-made laser beams binds that energy into those beams. This effect is known as the maser effect. 

The requirement for that thing is that laser rays that come from the bottom of the system are stronger than beams that come from its sides. Another way to make that system is to use high-power holograms. Those high-power or high-energy holograms inject energy into that laser beam. And that can raise its energy level to higher than the creator predicts. Another way is to aim multiple laser- LEDs at the same point. 

In the wrong hands, those portable systems can be dangerous. They can be used to cut electric wires. And if they are aimed at things like aircraft. They can scratch to the wing. That means those systems can be dangerous and at this time dangerous means both purpose and non-purpose damages that the high-power laser rays can cause. A single laser LED that injects energy into organs like eyes or skin can cause deep burning injuries. And that makes those systems dangerous.

Above: The most powerful hand-held laser.  

Above: 1W laser LED burns newspaper. 

When we think about military applications, high-power portable lasers can make a similar revolution as drones. The ability to interconnect laser communication lasers and laser weapons makes it possible to create systems. They can also destroy drones and other targets. Laser systems can drill holes in cannons and engines. And that makes them ideal for sabotage. 

If multiple drones aim laser beams at one point, that can destroy even large, and well-armored targets. Those lasers can cooperate with drones. If the drone has a mirror and the laser beam is aimed at it, that system makes it possible to shoot laser beams around the corner. The mirror drone that hovers above the battlefield can aim those laser beams over the hills and other blockage. 

The fact is that laser weapons are also deadly tools. If somebody uses a laser rifle as an assassination tool, there is no bullet that nobody can compare like police normally make in gunshot cases.  High-power laser rays that are shot at the water balloon can cause extremely powerful explosions when they cause sudden vaporization of water. 

The power of that explosion depends on how powerful that laser ray is. And how fast it can transfer its energy to that water. If that evaporation happens very fast. That can create a powerful pressure effect that can damage things. That is around it. So that makes it an effective stun gun. 

https://www.sustainability-times.com/energy/i-built-a-laser-from-hell-youtuber-unleashes-worlds-strongest-handheld-beam-that-instantly-melts-metal-and-ignites-anything/

What happens when we get AGI?

What does AGI (Artificial General Intelligence) mean? That is the extension of the large language models, LLMs, that can control every data network in the world. Or the system can control physical tools that are connected under their dome. Normal LLM has its domain. The domain is like a state that involves certain actions. Drone control is one domain, and home appliances are one domain. Those domains can have multiple subdomains. The AGI interconnects those domains under one dome or one entirety. So how far are we from that model? 

The answer is more complicated than we can imagine. We can think that the LLM can control things like microwave ovens, but for controlling those tools the LLM requires a socket that it can use to adjust microwave ovens. So the man-shaped robot can use a microwave oven, or the other version is that the home appliances are equipped with a control system that the AI can use to command it. 

When we connect new things under AI control we can face the same thing as when we try to learn to use some new systems. When we buy something new like a microwave oven, we must learn how to use it. In the same way, the AI must learn to use those equipment. And we have two versions for making that thing. 

To use any tool the AI requires a model that it can use in that operation. The model can be in the central server that runs the AI. But where does that server get the model? That is the point. The operator can teach the AI to use the microwave oven as well as the drone. But the system that is connected to the AI can also involve that model. Things like quadcopters must involve programs that control the rotor’s positions. In those cases the operative model is in the robot, or some other thing. The LLM gives orders to robots where they must travel. 

Then the robot can use its internal systems to navigate and move to the location. But orders for autonomic operations are coming from the central systems. This kind of network-based solution is easier for programmers. In those solutions, every single machine that is connected under the LLM domain has its own operational model. The system is modular and each module is independently programmed. 

Basically, if we think that AGI is the tool that just connects multiple devices under one domain, we could do that thing immediately. We can use man-shaped robots that can do almost everything. But the key word is “almost”. 

 Let’s return to the microwave oven. The reason why it’s hard to make that precise thing is the lack of standard user interfaces. The robot must learn to use every single microwave oven independently. That means it must make an independent model for each microwave oven. If there is a system where we can put seconds and minutes separately, the systems where there are only minutes in the timer are not the same. We learn that difference in minutes. But for robots, we must make an independent model of how to adjust the timer. 

Many systems in the world are so easy to use that nobody has wasted time creating standards for them. Easy systems are easy for people, but then we must think about things like the microwave oven. There are button- or toggle timers and that makes them hard to learn. For robots and AI the difficulty is this in the fact all microwave oven models require their independent model of how to use them. 

The robot must connect images from the user manual to the microwave oven’s interface. There is a possibility that if the system does not learn independently the “teacher” or programmer takes an image of the front panel, and then puts the buttons in the right places. Then the AI can learn the rest of the task from the user manual.