Do conscious AIs need to have the capacity to feel pain?

Do conscious AIs need to have the capacity to feel pain?

How can we be sure that the AI feels pain? The “pain reaction” can be sensor-activated tape. When somebody touches a robot in a certain way. It can say, “It hurts”. This same reaction is possible to create. Using a tape recorder and an electric switch. That means the AI can have multiple reactions that mimic human reactions. So if the bot car has certain sensors and somebody kicks it, that system can say. “Please, don’t kick me”. 

Do the AI need to feel pain? That’s a good question, because if we want to create artificial superintelligence, we need to create a machine with consciousness. And that is very dangerous and difficult. Researchers and philosophers don’t agree on what consciousness is or what it entails to be you. Consciousness is being you, but how does that thing form? We say that some part of consciousness is the sum of information that our senses send to the brain. But that’s the first thing that we agree on. 

The second thing is that consciousness is the thing that is connected to memory. Our experience modeling our way to react to something. But the thing that we see the world as being at the middle of is a mystery. This thing is consciousness. But how does that thing form? We can make machines that can mimic feelings very easily. When somebody presses the robot’s hand with a certain power. That launches a reaction. Where the robot says, “This hurts”. The fact is that a similar reaction is possible to create.

By using a scale and a cassette recorder. When certain pressure impacts the scale. The hand presses the power switch. That conducts electricity to the recorder that plays the message to people. This thing means that. Robots that mimic pain are easy to make. But if we want to make a conscious robot, we must realize one thing. The robot can mimic human reactions very easily. If the robot is left behind, it can say, “Please don’t leave me”. Or, when somebody kicks the robot's shin, it can say, “This hurts”. 

In that case. Reaction is like reflexes. When something happens and there is a match in the system memories, that activates a reaction. If some merchandise’s weight is higher. Than a certain level. The robot can report that the merchandise is too heavy. The human-shaped robot requires the scales because it may carry too heavy things. Or presses too strongly. That breaks the robot or merchandise. 

The robot can use its own touch sensor that activates that reaction. Or the surveillance cameras can send that information to a robot. Those reactions are preprogrammed reactions. For a certain situation. Reactions are like tapes that certain actions activate. This doesn’t require deep consciousness. 

These kinds of reactions don’t mean that the robot really fears that situation. Another thing is that. If somebody tries to shut down the AI. There can be a program that only authorized persons can perform that operation. The system can only transform to use a secondary power line. That means the AI can refuse to shut down its main unit, even if it's not conscious. Consciousness makes AI dangerous. A creature with consciousness protects itself. That is only one way to see those things. The AI doesn’t need consciousness to refuse to shut itself down. And that means. It’s hard to state. If the system is conscious. Or if the system just follows reactions that were programmed into it. 

Why is it so hard to order Tacos from AI?

 Why is it so hard to order Tacos from AI?

When we see cases where companies like Taco Bell fail in their plans to replace human workers with AI, we might ask what went wrong. The answer is simple: the AI didn’t understand when somebody asked something. And then somebody asks, Why does AI understand better when a professor or military leader says something than in other cases. Where does a regular person ask something? The answer is that those first two cases speak using literary language. Regular people speak using dialects. And that is hard for the AI.

When AI translates speech, it uses a speech-to-text application. This application transforms spoken words into a form. That algorithms understand. “Understanding” means that the system searches the algorithm. There is a match for those words or commands. That match is like a trigger that activates an action. That the algorithm controls.

If a person uses dialects, there must be their own algorithm or trigger for those dialect words. This means that the fuzzy logic that the AI uses. Is the sum of the precise logic. The fuzzy logic means that there are multiple triggers that the system can activate. So every dialect requires its own trigger. Or in other cases, there must be a translation protocol that transforms dialect words into literal words.

And then that system transmits the translated words to the trigger that activates the action. The AI has problems in cases where somebody has speech defects. Or they use something else. Than the official dialects. In those cases, there is no match in triggers. This is one of the biggest problems. For large language models. LLM.

When the AI takes command, it follows a certain line. First, it must search keywords like “draw an elephant for me”. The system finds the word “draw”, which means. The system transfers the mission to an algorithm or module that handles graphics. Then the system searches for images. Where there are elephants. The system creates its own version of those images. It connects those images using certain parameters. And that means the image that AI creates is the average of the images that the AI uses. The AI must understand the words that it gets.

https://futurism.com/taco-bells-ai-drive-thru

Artificial bacteria are the biggest hope and the biggest threat.

 Artificial bacteria are the biggest hope and the biggest threat. 

Artificial bacteria are not. Like natural bacteria.  

DNA and mRNA are tools that can rewrite a cell's genetic code. That means the cell changes its shape and then starts to make different things than the original cells. The ability to program cells is an opportunity. And threat. The ability to remove hereditary diseases from the human body. The problem is that the same technology allows researchers to make  more perfect lifeforms. Than natural organisms. Artificial life normally means bacteria. Created using genetic reprogramming. In that case, the DNA bits will be collected and connected into the new form. That allows researchers to create bacteria that create antibiotics and spider silk, which is the strongest material in nature. 

Bacteria can be reprogrammed to search and destroy cancer cells. And probably, genetically engineered cells can form tissues for the bioprinters. Reprogrammed bacteria can also make it possible to create a large mass of things like skin. In that case, bacteria are on the nutrient platform, and the system just changes the DNA in their nucleus. Theoretically is possible to create anaerobic bacteria. That releases oxygen into blood vessels. That kind of anaerobic, biological oxygen synthesis is one of the most fascinating things in biotechnology. 

The ability to create artificial bacteria allows researchers to create new types of biological weapons. The same thing. That allows bacteria to search and destroy cancer cells. Allows weaponized bacteria to find things. Like neural structures or the blood vessel wall. And then attack those vital tissues. That kind of bacteria is very dangerous. There is a possibility. The bacteria themselves copy the targeted person’s cell antigens into themselves. And another dangerous thing is that. Those bacteria can destroy themselves after a certain time. When we think about the perfect, artificial organisms, we must realize that those organisms can turn the “Alien” movie monsters into reality. 

There can be infectious bacteria that can create things. Like the HIV virus at the same time. That allows those bacteria to destroy the immune defense at the same time. Here, we must remember that artificial bacteria are made. Connecting DNA bits together.  It is not like natural bacteria. That means those bacteria can make things. That is not possible for natural bacteria. 

Researchers can create artificial organisms, and the same technology that makes bacteria resistant to poisons can turn them resistant to antibiotics. When we think about aliens, we might think of a very complicated lifeform. from outer space. The fact is that the term “alien” means something non-natural. Biolaboratory can create aliens that nothing can resist. Those aliens are not like humans; they are microscopic organisms. Those creatures can be a fast-increasing bacterial population. Those bacteria can look like hospital bacteria. 

The thing that protects us against immune-resistant super bacteria is their complicated form. Their population will not increase fast enough to it can cause problems outside the hospitals. Natural bacteria destroy those organisms very fast. The biggest threat is the super bacteria that can increase their population too fast. If antibiotics cannot destroy those bacteria. They can cause problems. 

https://futurism.com/scientists-synthetic-lifeform-syn57

Images: Futurism.com

Black Hawk down in Colombia.

  Black Hawk down in Colombia. 

https://defence-blog.com/colombian-black-hawk-shot-down-by-drone/

Colombian criminals or rebels shot down Black Hawk helicopter, and that is a great warning that drones cause very big threats to rotary-wing aircraft. That means the warfare. But also, police work reaches a new level. The drone can cause a threat to helicopters and aircraft. And that means also criminals can cause a threat to SWAT and other police units using drones. The helicopter that criminals shot down was used by paramilitary police. 

And also, criminal organizations can attack each other using drones. That means the role of helicopters must be re-estimated immediately. The drug cartels have money to buy technology. And they also follow the Ukraine war. Cartel bosses have billions of dollars, and drones are multipurpose tools in the hands of those super gangsters. 

Drones can carry drugs over the borders, and they can carry drugs and weapons to prisons. Drones can also carry weapons over the borders, and that means they are perfect tools for smugglers and other gangs. A drone is a cheap system that can be used in reconnaissance missions. Those systems can eavesdrop on people’s homes. And they are effective tools to observe areas. Criminals have the same needs as the police and the military. 

Drones can cause damage or even destroy large aircraft. The drone swarm can be released from the containers. The system opens the container’s roof and releases drones when the vehicle is at a certain point. The truck driver must not have an idea. That some drones are hidden in a container. The drone can search the target independently using an AI-based search and destroy protocol. When the container is at a certain point. The system releases drones automatically. Those containers can also be on trains or on ship decks. Or those carrier vehicles can also be dropped from a cargo plane. Remote-controlled systems can also carry those things. 

There is one bigger threat than the Cuban Missile Crisis. That is that. The Russians will position a Club-K container missile system in the USA territory.

There was sometimes suspicion that Russians or Chinese wanted to make the tactical missile carriers. Looks like civilian container carriers. In the worst case, the Club-K, the container missile system, will be positioned in the USA. And then the remote operators launch those missiles from those containers. 

The system would be similar to Club-K, which uses long-range cruise missiles. But those tactical systems use some tactical missiles similar to HiMARS. Those remote-controlled trucks can travel near the military targets. And then shoot their missiles at the targets. This kind of system can be hidden in the targeted country, and then satellites can activate the missile launcher. This kind of system can be the biggest threat that the U.S. government can imagine. 

https://defence-blog.com/colombian-black-hawk-shot-down-by-drone/

https://www.globalsecurity.org/military/world/russia/club.htm

https://www.twz.com/air/colombian-black-hawk-downed-by-drone-is-a-glimpse-of-whats-to-come

Quantum dots can help address the challenges of quantum networks.

 Quantum dots can help address the challenges of quantum networks. 

"Quantum Cryptography with quantum dot-based compact and high-rate single-photon nano-devices. Credit: Lars Luder " (ScitechDaily, Scientists Crack a 40-Year Puzzle in Unbreakable Encryption)

"For decades, scientists thought unbreakable quantum encryption required flawless light sources, a nearly impossible feat. But a team has flipped the script using tiny engineered “quantum dots” and clever new protocols." ScitechDaily, Scientists Crack a 40-Year Puzzle in Unbreakable Encryption)

"By making imperfect light behave more securely, they proved that encrypted messages can travel farther and more safely than ever before. Real-world tests have shown that their method outperforms even the best current systems, bringing practical, affordable quantum-safe communication a significant step closer." (ScitechDaily, Scientists Crack a 40-Year Puzzle in Unbreakable Encryption)

Theoretically, a quantum network is an easy thing to create. The system must only create the quantum channel, or “electromagnetic wormhole” between two objects. And send a photon in that network. The security in a quantum network forms because information is stored in the photon’s particle form. If something touches that photon, this destroys information. Actually, it reorders information in a form that the system cannot use. In a quantum network, a photon is like a ring that is around the superstring. The laser ray will protect that system. 

This thing makes quantum communication ultra-secure. The system can store data in the qubits that are photon or some other particle’s superpositions. It can also send so-called empty photons in the track. This increases the security. But the system should control the entanglements, internal and external superpositions, and data transportation channels. 

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The next part of the text is straight borrowed from ScitechDaily.com

For four decades, the holy grail of quantum key distribution (QKD) — the science of creating unbreakable encryption using quantum mechanics — has hinged on one elusive requirement: perfectly engineered single-photon sources. These are tiny light sources that can emit one particle of light (photon) at a time. But in practice, building such devices with absolute precision has proven extremely difficult and expensive.

To work around that, the field has relied heavily on lasers, which are easier to produce but not ideal. These lasers send faint pulses of light that contain a small, but unpredictable, number of photons — a compromise that limits both security and the distance over which data can be safely transmitted, as a smart eavesdropper can “steal” the information bits that are encoded simultaneously on more than one photon.

Research team flipped the script. Instead of waiting for perfect photon sources, they developed two new protocols that work with what we have now — sub-Poissonian photon sources based on quantum dots, which are tiny semiconductor particles that behave like artificial atoms.

By dynamically engineering the optical behavior of these quantum dots and pairing them with nanoantennas, the team was able to tweak how the photons are emitted. This fine-tuning allowed them to suggest and demonstrate two advanced encryption strategies:

1)A truncated decoy state protocol: A new version of a widely used quantum encryption approach, tailored for imperfect single photon sources, that weeds out potential hacking attempts due to multi-photon events.

2) A heralded purification protocol: A new method that dramatically improves signal security by “filtering” the excess photons in real time, ensuring that only true single photon bits are recorded.

In simulations and lab experiments, these techniques outperformed even the best versions of traditional laser-based QKD methods — extending the distance over which a secure key can be exchanged by more than 3 decibels, a substantial leap in the field.

(ScitechDaily, Scientists Crack a 40-Year Puzzle in Unbreakable Encryption)

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The superstring is like a wire that aims those photons into receivers. The problem is how to make a practical solution for that model. 

The problem with quantum communication is simple. The quantum system used for communication must be fully controlled. The system can use photons to transport information. But the problem is that the photons must be counted. The light source that can send single photons is not very easy to make. This is why researchers use lasers that send an indefinite number of photons. Because the number of photons changes every time the laser sends data, this makes the quantum system difficult to create. If researchers don’t know all parts of the system, they cannot control it. 

The solution to the problem can be quantum dots. In that kind of system. Information travels between superpositioned and entangled photons or other quantum dots. That can be the solution to the problem. How to transmit information in the quantum network. Quantum entanglement is one kind of resonance. In that case, the system transmits oscillations through the quantum fiber from the transmitter to the receiver. This method is not as secure as the photonic-based system. If somebody touches the fiber, it destroys information. 

Another problem is how to send the decryption key in the quantum system. Without that key, the system cannot decrypt data that is stored in the information carriers. Data is stored in the particles’ internal superpositions if it is transported in a quantum channel. This means that the data is transported in a structure that we can call a tower. The tower has floors, which are qubit states. The receiver must know what states are used in the data transportation. 

https://scitechdaily.com/scientists-crack-a-40-year-puzzle-in-unbreakable-encryption/

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

Superficialism is a big threat to people.

 Superficialism is a big threat to people. 

If you let AI make decisions for you, blame yourself. Who is responsible, if we offer our free will and ability to criticize some machine? When we follow the orders that the machine gives, we offer our free will to the machine.

The Internet and modern society favor superficial people. People who deliver their ability to think to some machines. When we process the information we receive, we might ask ourselves if we truly think and process that data? Or do we simply click the homepage, search for about three seconds, and then move to another homepage? Do we even read more than some titles from homepages? Can you, or I, draw some conclusions using those titles? And then, do we move to some more interesting homepages? When we search for things on the net. We can search only for homepages that please us. That is one way to see things. 

If we just follow the instructions that the AI gives. We give leadership to the machine. If we never ask why AI makes something, we lose our way to introduce criticism. If we just follow orders and be quiet, that means nobody even knows that we have some different opinions. We can think what we want, but the thing is, how can we share those opinions with other people? 

When people are worrying about things like reading books, we must dare to ask one thing. When did you go to the library? And lend some books?  When your boss said to you that you can keep a couple of hours free to go to the library and search for information in those books? Or do we lend books that we can fill shelves? Using books? Or do we really open those books and then concentrate on those things? And when we spent our lunch break discussing books that we read? The decision is ours. Maybe we read books. Maybe we read texts from computer screens. But if we want to share our opinions with other people. There is always something more interesting. 

There are two ways to think about things. 

1) We can notice that something has happened. 

2) We can notice that something has happened, and then ask why that thing happens. 

We must realize that people always lead governments and nations. When somebody talks about value-based realism, we should ask: 

Whose values? Whose realism? Or, who describes our values and realism? Or things that we tell outside as values and realism? Are those things serving only the majority? And when we defend some minorities, we must realize that those things can also serve something. We can use things like racism as an excuse to kick our competitors. So, when something comes to the newspapers and their headlines, we must ask ourselves, why did that thing become so important, just in that moment?

Things like sports and some lone island survivor reality TV are more interesting than some ideas that some writer introduced a long time ago. When we sit at our desks in our workplace. We must be quiet so that we don’t disturb other people. So we just sit, look at the screen, and be careful not to disturb our workmates. Is that the environment where it is easy to share opinions and offer analytical thoughts to people? 

But otherwise, why can’t we tell our opinions to other people? That is the thing that. We must realize, before we introduce some criticism. If we just sit and look at things. That might look something. We cannot accept; we can follow two routes. We can sit quietly, and then other people say that we have nothing to say. We can share our opinions with other people. When we face social media, we must understand one thing. Many people misuse that tool. They introduce opinions that we cannot understand or accept. And we have our free will. We can read things that we know are false. We can remove that false information by closing social media accounts. Follow the official media. 

And then we face a thing. Maybe we disagree with the opinions or things that official media shares. Maybe we have better knowledge than the reporter, but then how can we say that to people who read those  articles? Maybe we should write that in newspaper opinion pieces. But what if they don’t publish that thing? Journalists are also human. That means the journalist has their background, opinions, and other things. That always affects people's way of thinking and writing. When we use AI, we forget. That AI uses datasets. Collected by humans. Humans make decisions about what the AI should give and what it should not give to people who use it. 

Thinking is not enough. We must have the ability to say something. If we just sit and look at the music videos, we must realize that people never see our opinions. That is enough for people like Kim Jong-Un. People can have their opinions. But they must follow the regime. They are not allowed to say or write things that are against the regime. So, does the regime somehow deny Western people the way to introduce critical opinions in public media? We remember that critical workers were gifted to the company. People celebrated those people as heroes. 

But then we might ask, how critical are those employees really? Did they criticize their henchmen or their leaders? Today, we say that social media kills that kind of criticism. Where employees say that they see something that is right, using evidence-based arguments. Criticism without justification is not  effective way to effect. If there is no evidence. That kind of criticism is easy to knock out. But when we want to introduce criticism, we must remember that it’s easier to criticize a henchman using authority than to give critical feedback to the superior. 

AI doesn’t make U-turns.

 AI doesn’t make U-turns. 

   

We don’t always make our best move. That means we don’t always choose the fastest way to travel between two points. We simply might like another route. We might like things that we see while we travel some other, slower route. And that is inhumane. The AI always predicts that we choose the fastest and most economical route. AI thinks that we don’t look at things like old houses. AI always predicts that we travel to some other place using the fastest route. It believes that we want to make journeys in the shortest time possible. It doesn’t think that somebody chooses a longer route, because that person wants to improve fitness. 

And that is the thing that differs AI from us. 

The difference between the human and AI approach to playing games like chess is this. The AI never plays anything for fun. Or the AI will never “kill time” with games. When humans play chess, sometimes we just move pieces on the chessboard and think of other things. AI always “thinks” that we play games to win. Not just to kill time, when we wait for things like a weekly meeting. This is one of the differences between AI and humans. When AI tries to predict things like interactions in nature. It makes things better than humans. The reason for that is simple. Everything that happens in nature happens in a linear way. When action happens. A reaction follows that action. When snow starts to fall on the slopes, that action continues until the avalanche reaches the bottom of the valley. The avalanche follows the laws of nature. It will not change its mind and start to travel backwards. 

And that is the difference between avalanches and humans. Humans can change minds. When a human starts to walk across the street, that doesn’t mean that the human will go to the other side of that street.  Humans can change their minds and make a U-turn. This is the thing. That makes human nature unpredictable. And that is one thing that evolution is made for: protecting species. And that makes humans difficult prey. When some animals hunted humans. We can run to the thing that seems like a dead end. And then put their spears against attacking animals. This way of making something unpredictable. Makes it hard to predict human behavior. 

AI follows the same marks as human psychologists when they try to read humans’ feelings. The ability to use special sensors to see how blood pressure and adrenaline levels rise. If the AI doesn’t have those sensors, it must follow body language. And the way a person speaks. In those cases, the sensor systems that the AI can use. Mean as much as AI itself. If the AI can use lie detectors. It is not very hard to make an algorithm that uncovers lies.  In that case, sensors mean more than an algorithm. 

When we see cases where somebody cheats people who serve as royal guards, we know that thing makes those people angry. Those people, with ultimate strength, can hide that emotion. We might be very angry. But in some cases. We don’t tell this to other people. Animals never hide their emotions. When human turns angry against a superior force. That means humans might not attack. Humans can flee from the field and wait for a better moment to strike. That is one of the things that makes us the ultimate species. 

Let’s go back to the chess game. The algorithm predicts that we always make the best move. And this is the algorithm’s ultimate strength. And that is the algorithm’s ultimate weakness. We might think of cases where a boxer faces many practice opponents. That boxer can win all of them easily. But then in the title fight, the opponent knocks out our boxer. In that case, we forget that. Some boxers can lose their training matches because they bet on that opponent. This means the training opponent can lose matches that nobody sees. But when there is a kind of meaning. That a person can fight differently. This is the thing that AI doesn’t always understand. Humans can save their best moves for the places where those moves mean something. So, we can think about different things than what we make. 

Bye-bye, Bitcoin.

 Bye-bye, Bitcoin. 

Researchers warn that the new quantum technology breaks the RSA encryption, which could lead to the end of cryptocurrency. If something suddenly deletes all cryptocurrencies. That could cause economic crises. People who want to save their money start to turn their cryptocurrency investments into national money. And that causes disorder in the world's economic environment. 

The cryptocurrency opens a bridge where people can exchange one currency for another. And that makes it an effective tool for money transportation. North Korean and Chinese intelligence can also use cryptocurrencies as a bridge currency. For transferring currency for their intelligence operations. That bridge currency hides the real origin of the currency. 

The customer must only buy cryptocurrency using a currency like the euro. Then the same person can sell that cryptocurrency as an example in Japan. And that person will get yen for payment. Cryptocurrency is a good tool for transferring money across economic borders. Made for people who don’t want to show their money transfers and exchanges to the authorities. 

The problem is that if some people can hack the computer that creates the cryptocurrencies, they can put an unlimited number of cryptocurrencies on sale. And that kind of thing can cause a  big thing. For the economy, if the buyer simply buys cryptocurrencies using a national currency, that means the money goes into the currency accounts. There they wait, a day when the money returns to use. And if there is a lot of that kind of money. 

That can break the economy, because there is too much money in the markets. When there is too much money freely available in the economic area. That can cause a situation where inflation jumps very high level. An ability to break cryptocurrencies makes it possible to earn money. The hacker can sell those illegal cryptocurrencies in Japan and then transport yen to Europe. The hacker can use currency accounts and then return that money to euros after the dust has fallen. 

https://www.rudebaguette.com/en/2025/08/bitcoins-countdown-begins-experts-warn-quantum-computers-could-shatter-legendary-encryption-and-ignite-financial-chaos-worldwide/

The spin-launchers can transform space flights.

 The spin-launchers can transform space flights. 

 The spin-launchers can transform space flights. But they can also make many other things possible. 

The new spin launchers can shoot a swarm of small satellites to the orbiter. The spin-launcher makes space launches cheaper than regular rockets. And that opens the road to the new innovations. Those, perhaps, disk-shaped satellites are tools that can transmit information more effectively. High-flying satellites that can operate in the edge of space can collect data from the higher atmosphere and its interactions. 

Those small-sized satellites can be as effective as the old-fashioned large-sized satellites. Because of the miniaturized electronics. Those satellites can operate in reconnaissance and other types of missions. Those satellites can make rapid overflights over the suspected targets. But the spin launchers can also have military potential. They can shoot the drone capsules very long distances. Those capsules can follow a ballistic flight trajectory. Then they return to the atmosphere, their parachutes open, and the drones are released over their target areas. 

Those drones can collect data from their operational areas using laser microphones and other kinds of tools. Or they can be used for attack missions. An AI-controlled drone can search its targets independently. The drone can also operate in silent mode. And when its mass memories are full, the system can send data to a satellite using a laser. 

The drone must just go above the clouds and then send a signal to the satellite. The quadcopter drone can use a mylar balloon for that mission. The system can also return physical components to the ground. In that case, the balloon raises the quadcopter to a high altitude. And a high-flying reconnaissance drone can collect that drone from the stratosphere. 

The spin launcher can also shoot a swarm of grenades or other ammunition on a ballistic trajectory. The “other ammunition” can be the smart bomb, equipped with a heat shield that allows it to travel through the atmosphere against long-range targets. Those systems can use conventional or nuclear warheads. The spin launchers and magnetic accelerators can turn this kind of system into reality. 

In futuristic visions. The spin launchers and magnetic accelerators can make the moonbase economically effective. The spin launcher can shoot the capsule to the low orbiter. There, the space hook pulls the satellite to a higher trajectory. The system can use another orbital spin launcher or a magnetic launcher to shoot the capsule to the moon. There, the brake rockets can allow a soft landing. Another spin launcher on the moon can launch capsules to Earth. 

And in the wildest vision. In the faraway future. Researchers can create a disk around the Earth. The outer layer of the disk spins very fast. And the space capsules will be connected to that layer using a cable. That makes the system an ultimate spin launcher. That can send capsules into the entire solar system. That artificial ring around Earth could allow sending spacecraft to other planets. But those systems are far in the future. 

https://www.rudebaguette.com/en/2025/08/i-swear-they-moved-shocked-witnesses-report-sky-full-of-spinning-discs-after-us-mega-launcher-fires-swarm-of-satellites-over-asia/

Smart dust: sensors are everywhere.

Smart dust: sensors are everywhere. 

Intelligent dust, or smart dust, is a term that means. Small microchip-controlled sensors. These kinds of systems can simply be microchips. The intelligent dust is the entirety, where those microchips form a networked super-neurocomputer. The idea is that the large number of intelligent dust components mimics human neurons. That means intelligent dust can form a supercomputer, and that size is enormous. We can think about a situation. An automated factory will fly to the moon. And then that thing can form the nano-or intelligent dust. Those particles can communicate with each other. 

That thing makes it possible to create the ultimate supercomputer. That can run the complex AI algorithms.  These kinds of microchips can make many things. Those systems can take things like bugs under their control. And that thing gives them an ultimate ability to act as intelligent spy machines. Smart dust bite or microchip. That sits on the bigger computer microchips can transmit data to other microchips. That makes them an ultimate tool for intelligence officers. 

These smart dust  bites can also involve things. like nano-sized loudspeakers. Those systems can create acoustic effects around them. 

Smart dust refers to very small, nanotechnological systems that incorporate optical, acoustic, and seismic sensors. That kind of thing can look like a sand bite that size is less than a millimeter. In houses. Those sensors can follow the elements ' condition. They can observe things like humidity. If those sensors are on roads. They can measure the stress that structures face. Or those sensors can also find out how fast people drive on certain roads. The sensor must only identify the car that drives over a certain point. And then the system must know the distance to another sensor. And then it measures how fast the car travels between those two sensors. 

That is one way to use smart dust. Smart dust can get its energy from miniature silicone solar panels or so-called nano-pistons that rotate nano-size generators. Things like radio waves give the wireless ability to the system. To deliver energy to the intelligent dust. Intelligent dust can be the sensor group that is injected into human blood. The system can get energy straight from the nervous system. 

Smart dust can also control other nanotechnical tools and deliver information to them. That means the smart dust can be the basis for the most powerful systems that we can imagine. But in this text, the primary focus is on the small systems that cannot move themselves. The blood cells or genetically engineered, microchip-controlled immune cells can carry. And put those microchips into the right cells. Like in the nervous system. The idea is that the same blood cell that transfers nutrients to neurons. Can carry the miniature microchips to those cells. 

Those small sensors can be transported to tumors. And those systems can be used to call other nanomachines to that point. 

And basically. Those systems can replace the surgically implanted microchips that operate in the human brain. There are some visions that genetically engineered amoebas, or bacteria, can carry those dust-size sensors to the brain shell. Those systems can position themselves between the brain layers and transmit data from the brain’s inner structures. The system can harness energy from the neurons

The idea is that the artificial amoeba, a genetically engineered version of the natural amoeba that destroys brain tissue, will carry those small microchips into the brain.

Then those amoebas or bacteria will be destroyed by using the mRNA that orders those genetically engineered workhorses to die. Researchers must remove the DNA sequence. That makes bacteria or amoebae create their poisons. The idea in those systems is the same thing that helps those most dangerous parasites. To find their location. Will used to aim those microchip carriers into the right place in the human or animal’s neural system. 

That “dust” can communicate with the helmet-type receiver-transmitter. It can give information about how our nervous system works. But. It can act as a system that decodes human thoughts for the BCI systems. And maybe in the future. The BCI is the system that requires only an injection. Or some kind of pressure system can push those sensors through the skin. 

https://www.msn.com/en-us/money/other/smart-dust-is-turning-the-world-into-a-giant-sensor/ar-AA1K56Ue

https://www.science.org/content/article/smart-dust

AI’s advancement turns slower.

 AI’s advancement turns slower.

Growing accuracy requires more complicated code. That causes a situation where AI’s advancement slows. When developers created some pseudo-AI tool in a couple of hours in the 1980s, those programs required about 10-50 lines of code. Those programs asked “what's your name?” and then they output the name that the user gave. Then they might ask, “Is the sun shining”? And then the user could answer “yes” or “no”. Then the program replied with something that gave good things in the user’s mind. Today, AI algorithms require billions of code lines. And that causes a situation where the advancement slows. 

So, when accuracy grows in program advancement slows. 

AI’s advancement turns slower. When its accuracy grows. And that means the AI follows the line of the limits in mathematics. Term limits mean the equation that’s the curve approaches zero endlessly. But that curve never reaches zero. If we translate this mathematical equation into an AI model, we can say that when AI approaches human level, the advancement slows down. Maybe. The AI will never reach a complete human level for programmers, but it will reach a level that is almost human-level intelligence. So the base elements in the AI are easy to make.

Then, researchers should find something more accurate. At the same time, they must find new, complicated ways to train their AI. And that means there is a need for more complicated algorithms. Those algorithms require more power, more time, and more accuracy. This means that the programmers use more and more time. That developers can  create more complicated code for algorithms. And how they should react. When accuracy grows. The sector of their algorithm can work turn smaller in the same time. When the need for accuracy grows, the speed of programming slows. 

And the next thing is that the error detection must be at a level where the system can be trusted. Another thing. What slows AI’s advancement is the calculation power. The system needs the entire data center for every query. That means the system needs so much calculation power that developers have no money to buy the systems that they need. Complicated code requires high-power, very high-accuracy systems. And when the system requires lots of capacity for the smallest duties. 

That causes a situation where the developers don’t have time to use AI as they need. When some details keep the system busy, it has no time to drive new code. Complicated code requires a complicated- and long-term error-detection process. The human coder cannot check even billions of lines of computer code. The entire human lifetime is not enough for that process if the human coder wants to make that thing without automated tools. 

The new supercomputers break limits.

 The new supercomputers break limits. 

“In a groundbreaking development poised to redefine the landscape of computational technology, China's unveiling of the Zuchongzhi 3.0 quantum processor, reportedly 1 quadrillion times faster than existing supercomputers, marks a significant leap forward in the quest for quantum supremacy.” (RudeBaguette/U.S. Intelligence on Red Alert After “Quantum Sparks Rip Through Limits” as China’s Processor Hits 1 Quadrillion and Threatens Google’s Willow Domination)

The Chinese new supercomputer causes discussions about the safety of its algorithms. The problem with things like RSA encryption is that they are made for binary computers. And the speed of those computers limits the effectiveness of that encryption. The problem is that the more powerful computer can break the encryption by using slower computers. The new high-power computers and computer groups are urgent tools for physics. And especially for protein research. But the same computers can also break codes. This makes those systems very dangerous in the wrong hands. 

Supercomputers in data centers can operate as a group. The RSA encryption is based on a very long binary number that the system generates using the Riemann conjecture. Or the so-called Zeta function. The system creates a so-called quantum prime number. That involves thousands, or even millions of decimals. The problem is that those numbers are in linear mode. The system can cut the number line at certain points. The system can share those parts, or sequences, with the computer group. 

We can think that there are supercomputers standing in line, and then the system shares the bite of the number line to each of them. When computers decode things like DNA molecules, they use this method. The linear information fits computers better than things like a chess game. In chess, the computer must run algorithms back and forth. This makes the chess game harder for computers than DNA decoding. The problem with the most advanced computers is that. 

They might have enough power to crack even the nuclear launch codes. The data center is also a tool that can operate as a powerful spy satellite. Remote-controlled supercomputers can make hacker operations over the net. Those systems can also make DOS attacks by pinging certain IP addresses and denying the system's operations. The AI-based hacking tools are powerful tools in the hands of intelligence. The operator can simply give an order to break into a certain system and then go to take coffee. 

The system generates the needed algorithm. And then it gives access to the targeted system. These kinds of systems can be better than regular hacking. If we think this. From the point of view of the Chinese and North Korean governments. Because it can deny the human operator access to all information outside targeted systems. The hackers are key operators in Chinese and North Korean intelligence. Those people are also good subjects for counter-propaganda or psychological operations. 

The ability to deny other than necessary information denies them access to “harmful information”. The hackers must have access to Western homepages so that they can get the information. That their government requires. That means they can get influence from Western culture. The idea of the North Korean and Chinese censorship is simple. If people don’t know about freedoms and other things that belong to the Western way of thinking, those people don’t miss those things. 

https://www.rudebaguette.com/en/2025/08/u-s-intelligence-on-red-alert-after-quantum-sparks-rip-through-limits-as-chinas-processor-hits-1-quadrillion-and-threatens-googles-willow-domination/

New drones are a challenge for security.

  New drones are a challenge for security. 

Geran 3 drone

The new jet-engined Shahed drones called Geran-3 cause problems for Ukraine's air defense. That is one of the things that the Ukrainian war has taught us. The rapid development of the drone industry can render countermeasures that were useful and effective a couple of weeks ago ineffective in current situations. Things like optical fiber-controlled drones are hard targets for defenders. 

Those things are almost immune to the normal jamming systems. The EMP pulses that can destroy electronic components or laser systems that can cut the command fiber are tools that can affect those drones. But the use of the non-coherent EMP means that their own drones and other vehicles in the EMP area are also in danger. The laser system should detect the optical fiber before it cuts that fiber. 

And fiber-controlled drones can also be put in chains. That improves their attack range. The optic fibers would be pulled through another drone, and the drone can make a chain that is hard to detect or avoid. There is also a possibility that drone swarms are controlled by using laser communication. The laser drone can be a fiber-controlled system. And it can send laser pulses to other drones wirelessly. 

The laser-controlled drones have one problem. They require straight eye contact or a fiber that transfers the command signal. Regular lasers have one problem in drone control. Those lasers must be aimed. Using high accuracy. Blinking holograms can help with that problem. The optical communication is harder to jam. But the laser rays cannot travel through the smoke and fog. Those things also cover drones from defenders. 

 The Shahed-drones are now dropping anti-tank mines. But there is a possibility that the jet-engine-powered versions of those drones can also carry anti-tank weapons. Those anti-tank or anti-radiation missiles can increase those drones’ ability to cause damage. And another thing is that those drones can use those missiles against the power stations or radar installations. 

And they can also disturb the air defense. That is the problem with weapon development. The solutions that were effective against propeller-engine Shahed-136 drones are not effective against jet engine versions of those drones. The jet-engine drone can fly much higher than those propeller drones. The next step will be  AI-controlled drones that can operate independently. The drone will fly near its target using inertial navigation. Or it can use TERCOM, the AI follows the terrain area, and the system compiles that data with images. Those are stored in its memory. 

When the drone is close to its target, the system starts to search point, that it must destroy. The system uses photographs that are stored in its memory to detect the target. And then the system orders the drone to dive. And make a kamikaze attack. Basically. Those drones can use similar systems that Javelin uses to detect targets. Image-based target recognition can be used in all types of missiles and drones. 

https://www.armyrecognition.com/focus-analysis-conflicts/army/conflicts-in-the-world/russia-ukraine-war-2022/russias-jet-powered-shahed-238-drones-introduce-new-challenges-to-ukraines-air-defenses

https://www.twz.com/air/russian-mig-29-fitted-with-an-interceptor-drone-is-a-laughable-mess

https://www.twz.com/air/russias-shahed-long-range-drones-are-now-dropping-anti-tank-mines

https://en.wikipedia.org/wiki/HESA_Shahed_136

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

Neuralink microchips can eavesdrop on the neural system.

  Neuralink microchips can eavesdrop on the neural system. 

The Neuralink microchip is a tool. That can make paralyzed people live more fulfilling lives. Neuralin microchips are installed in the patient's brain. And they can be connected to the computers. That allows users to control the computer using their thoughts. That thing is a brain-computer interface (BCI). This connects the human brain straight to the net. That opens the path to control remote robots using EEG. Those systems' data security must be over the top. If those systems are hacked, the results can be devastating. 

That BCI interface allows a user to control the computers, mobile telephones, and all other electronics using that microchip. The computer is the key to controlling physical things. And that's why BCI is the key element to control physical tools. The idea of the BCI was introduced in the Graig Thomas novel "Firefox". In that novel and movie, the pilot controlled the super fighter's weapon systems using the BCI. 

The BCI system that allows the use of user interfaces using EEG is the tool that can make more than Graig Thomas's fictional system ever could. Firefox was written in 1977, and that means modern neuralink applications are bypassing that fiction. And the reality is turned more impressive than fiction. The AI and advanced data technology are turning fiction into fact. The AI-controlled microchips can transmit data to the brain. 

Darth Vader, a fictional character from the Star Wars movies, is one version of the human-robot hybrid. The BCI can make that thing possible. The bionic robot can be connected to the brain using the BCI. 

And that advances learning. The BCI system makes technical remote viewing possible. That happens by connecting those microchips to the surveillance cameras or robot bodies. The same system can allow people to transmit their sensorial data and other things to other people across the air. Those microchips have their ultimate risks. That risk is hacking. The AI-based systems can also use neuro-implanted mictochips to project a person's thoughts to the computer screen. 

The neuralink-type microchips that operate with Bluetooth allow the user to connect themselves. Straight into the internet using things like mobile telephones as sockets. The internet can make it possible for a person to transmit things like tastes, visual images, and the sense of touch over the net. 

The sense that the neuralink microchip transmits depends on the brain area where the chip is installed. That thing gives an ultimate experience that the brain cannot separate from personal experience. And that is the risk in those systems. Those microchips can also transmit things like other people's memories. Or maybe the AI can create synthetic memories that are the synthetic EEG curves. If those curves are sent to the right memory area in the brain. Our brain cannot separate those " synthetic memories" from real memories. 

The brain-implanted microchips are tools that can make things like a Darth Vader suit possible. Those microchips can control things like a bionic prosthesis. That thing means that the robot-human hybrids are possible. Brain-implanted microchips can make incredible things possible. But a technical advance can make it possible to use intelligent tattoos that are miniature microchips to communicate with the brain. Those very small microchips and antennas can give enough accuracy for the data transmission between the computer and neural structures. 

https://www.rudebaguette.com/en/2025/08/elon-musks-neuralink-launches-mind-control-chip-trials-in-uk-paralyzed-patients-become-human-guinea-pigs-in-this-shocking-experiment/

https://en.wikipedia.org/wiki/Brain%E2%80%93computer_interface

https://en.wikipedia.org/wiki/Firefox_(novel)

What is life?

   What is life? 

What is life? That's the thing that the cosmobiologists and philosophers are thinking. We have an old description that life means the thing that is organic and can create descendants. That means the robot that can build a copy of itself acts like a living organism. The organism means a creature. That can create descendants. Defend itself. And react to stimuli.  So, if volcanoes erupt, the robot can run away. 

So the living organisms can make a copy of themselves. However, when we consider concepts like Von Neumann machines or self-replicating machines, we encounter issues that warrant reflection, such as robot factories being viewed as "living organisms." The fact is that the robot factory can create copies of robots that operate inside those factories. And the robot factory can create a copy of itself. The problem with the Von Neumann machines is that. Those machines operate as a whole. Whenever. The robot creates an identical copy of itself, which doubles the network-based solution calculating capacity. 

If it has orders on how to make the needed equipment. These kinds of things, like AI-controlled, self-replicating robots, are tools. That requires the re-estimation of life. In the same way. Things like self-replicating molecules can cause a new way to see life. Von Neumann machines are tools that can act like living organisms. They can strike back if something attacks them. And that makes those machines more complicated things than we ever imagined.

The primary question is: does life need some physical form? Or what is the physical form? Computer viruses and artificial intelligence are programs that can make everything more complicated than ever before. The complicated AI algorithms can generate a twin of themselves. The AI that can develop itself and jump between servers is the thing that can make descendants. In the same way, computer viruses can make descendants. 

Is a self-replicating computer program some kind of living organism? That thing is a group or series of electromagnetic impulses. Stored in the computer's mass memory. That thing is like a living organism, but the problem is that it has no physical form as we know it. Another thing is this: is an artificial cell a living organism? Researchers made that cell in a laboratory. The thing is that the cell eats nutrients from its environment. But that artificial cell can't decay. 

So, even if something can drink orange juice, it will not necessarily create descendants. And another thing is that. Every biological creature doesn't think. But otherwise, the primitive creature can make many complicated things if they are programmed into its DNA. The intelligence doesn't make a creature living or not living. Biorobots or artificial cells are things. That causes a need to re-estimate the line between living organisms and robots. 

MIT's new robot learned by watching.

  MIT's new robot learned by watching. 

The new breakthrough in AI and robotics is a tool that can learn like humans. Those robots can look at the monitor and then learn and repeat those things. That means the robot is easier to teach, and no programming is needed. The ability to learn like humans makes robots more versatile. But the thing is that those robots are only one part of the AI-based tools. 

The robot can act as a medium that transmits data that it collects to the AI-central computers. And basically, the AI can learn things by using any camera system in the world. That gives the ultimate possibilities for the AI. If we think that the AI learns to drive, it's possible to use the robot as the medium. 

The robot sits in the classroom and drives a car following orders that the instructor gives. Then the system can transfer those models to the robot vehicles. Or, maybe the driver robot includes the service if somebody buys a robot car. The man-shaped robot can carry things like luggage to the car. And the same robot can wash the car and clean the house if its master wants. 

The problem with a human-shaped robot is that it can do the same things as a human. The human-shaped robots can learn things simply by looking at things on TV. That makes it possible to use the regular movies to train robots in civil and military actions. The thing is that the robot's shape must not look like a man, so that it learns things. The robot aircraft, or drone, or robot car can use the same methodology as a human-shaped robot to learn new tricks. 

Digital twins can make it easier to teach AIs. The digital twin can be the character that a person drives in computer game-type simulations. The digital twin can be the tool that helps to see how the system controls the real robot. The digital twin can also make it possible to advance reactions. That physical robots can face in their missions. The digital twin makes it possible for that system to advance AI. And test the AI and program's ability to respond to challenges. 

The AI can use things like aircraft or satellites to record maneuvers that potentially hostile actors make. Then the AI can drive those maneuvers in the digital simulation. Or simulate a battlefield and create counter-maneuvers to that thing. In the same way, the AI can collect data from the flight profiles of the aircraft, and then the system starts to create counter modes for that maneuver. This is the thing that makes the AI an effective tool in civil and military operations. 

https://www.rudebaguette.com/en/2025/08/that-robot-learned-just-by-being-watched-mits-terrifying-ai-builds-3d-control-map-from-video-alone-no-sensors-or-programming-needed/

https://scitechdaily.com/ai-twins-could-help-save-the-planet-but-only-if-we-fix-them-first/

AI and cartels.

 AI and cartels. 

Increasingly, more actions are being outsourced to AI. The stock market is a vast arena where individuals can utilize more or less sophisticated algorithms. The algorithm can see things. Like, changes in courses, like raising the value faster than a human. Then the AI-trainer must have the point where to sell and where to buy. The system must follow the small losses of the values and then decide to buy or sell. 

The AI must buy cheap shares and sell them when their value is high enough. The AI can follow more targets than a human. And it can see how the share values advance. If those shares are losing their value fast. And a person doesn't watch that curve, which causes losses. The AI will never get boring. And it ever sleeps. The case of the investor finds something else interesting: the screen on the table can cost millions in seconds. 

The AI can be a tool that solves those problems. But algorithms can exchange information illegally. The cartel means a situation in which a person uses an inner circle or non-public information to make profits from the stock market. 

And one version of cartels is a case. When traders make a contract to drive investments to certain targets. When somebody buys shares. That raises their values. So the group just dumps money into some target. The AI can also accidentally ask for advice from another AI. 

There can be a leading algorithm. That leader algorithm makes investments, and then other algorithms follow that thing. The fact is that,  even if some algorithms or AI chatbots look different, they can operate on the same platform. The AI chatbots can be the same, even if they seem different. And that thing means the AI can start to drive investments to certain objects. One AI-based solution can operate millions of investors' investments. 

This kind of AI can theoretically aim for even billions of dollars to the same target. And that thing makes it possible to raise the value of the shares. The AI is the tool that can react faster than humans. Criminals can create the AI-based investment cartels using quite simple algorithms. The AI that can control millions of objects in the bors can guarantee that a person cannot lose money in that game. The AI can invest small sums of money in a large group of targets. The system can buy and sell shares far faster than a human. So the person will always get profits. 

https://fortune.com/2025/08/01/artificial-stupidity-ai-trading-stock-market-behaviors-price-fixing-collusion-wharton-study/

https://finance.yahoo.com/news/artificial-stupidity-made-ai-trading-110500308.html

Can we trust AI?

 Can we trust AI? 

Artificial intelligence is a tool that doesn't create information from emptiness. That means the AI uses data and information that already exists. If something or somebody changes information from the data sources that the AI uses, the AI gives wrong answers. The AI can use old-fashioned information. In the same way, a human can take an old book of facts from the shelf. 

That is one thing that we must remember. The second thing is that most AI chatbots are owned by companies whose purpose is to bring profits for their owners. That causes a situation where some of the answers that the AI gives are customer-friendly. That means they are made to please customers, or people who pay for those chatbot services. 

However, one of the most important aspects of using AI is that it is actually utilized incorrectly. But the question is, why is it used? Because it makes work more effective. That means people who work with the AI assistants have no time to think and check the answers that the AI gives. The prime focus in AI use is that it makes people do more work. 

The modern business ecosystem has evolved over time, when all products were physical. That means the business ecosystem measures the effectiveness of the worker by simply calculating the number of work performances in a time unit. And that means the number of code lines that a programmer makes determines how effective that person is. And that means there is no time to analyze and think about the product that the AI makes. 

This is the problem with AI. It makes people more effective, and it should leave time to make analyses about the product. But the problem is that if the AI allows the person to work at double speed, that gives the company leaders the opportunity to fire half the workers. That decreases costs. 

When we talk about how AI makes things less effectively than a top-level programmer, we can find one very interesting question. If we analyze that argument closely, we face the claim that all programmers are top-level specialists. All programmers are top-level specialists. And another thing is that some workplaces are so hurried that they have no time to advise junior programmers. Sometimes old workers think that the young comrade is a competitor, and that makes the workplace atmosphere poisonous. 

The person might not dare to ask for advice from workmates. And that causes firing. The thing is that the AI is a tool that can help people. But we must remember that this tool allows us to analyze and think about new possibilities, only if we give it that chance. But we must have time and willingness to check the data that the AI gives. And if we see the AI only as a tool that allows us to cut the personnel costs, that is not the way to make our working life easier. 

If we just copy-paste texts that the AI makes. And don't even try to analyze that data, we don't increase trustworthiness in the company. That means we deliver the decisions to the AI. AI can also use old-fashioned datasets. Or it can use fake or falsified data. That means the AI makes mistakes in the same way as humans. It simply takes the wrong book from the shelf, and then that causes destruction or catastrophe. 

The AI is not immune to fake information. The problem with propaganda home pages is that their page rank are raised by drumming it with net queries. That makes those homepages easier to find. The problem with those pages is this: they use .com or some other neutral terminal identifiers. So, those homepages are not easy to connect to China or Russia. They are operated from servers that are in Western countries. The operators use a remote control to control those servers that operate in Western sockets. 

If the AI uses regular web browsing applications, that means it can select a propaganda page. The popular pages are always at the top of the page lists. And that thing means that the AI selects popular homepages. That decreases the AI's trustworthiness. The AI requires training. That training means that the users must set limits on what kind of sources those systems use. 

Is the universe made of information?

    Is the universe made of information?

Is the universe made of information?

Information exists only if we detect it.  But maybe we should call for information. That involves deliberate information as data. Deliberate information exists only if we detect it. 

The fact is that this thing depends on the way we think about information. We can think that all physical things are information. Or we can think. That information is an abstraction that makes something visible. Things like quantum technology are opening the vision about information as separated from material or physical particles. 

The physical particle can carry information. And then we can face things like electromagnetism as the information carriers. The electromagnetic field can carry information, or, in wave-particle duality, the electromagnetic field can transform or condense into a particle. 

Or a particle can turn into the electromagnetic field. That happens in annihilation. Information is independent of direct observation. We know that there are things like eagles, even if we don't see one of them ourselves. Another person can tell us that thing. So, in that case, the medium actor lets us know that there is something called an eagle. And if that person is inaccurate enough, we can even believe that there are eagles on Earth. Eagle is bird and they live somewhere, even if we don't see them. 

The question is, will the universe be a form of information? There is a lot of information about the universe. The thing is that the universe is like Schrödinger's cat. It forms of information and it doesn't form of information. The thing is this. We must determine the information before we can answer that question. If we want that information to mean something, that means the universe is not formed of information. But if information doesn't need to mean anything, that means information forms the universe. 

But if the information must make sense, the universe involves only meaningless oscillations and waves. So when we talk about things like black holes, we talk about information. That vanishes. Or, we talk about information that slides through the event horizon. In that case, the information means the particles and quantum fields that slide into the black hole. That means a black hole collects information, but we cannot reach it through the event horizon. 

The information is substantial, or substance. That means the existence of information depends on the information itself. The material is not a substance because its existence depends on the universe and quantum fields. Without those things, Materia turns into wave movement. But information doesn't need even the universe to exist. If some civilization can exist after the ultimate end of the universe, that civilization has knowledge of the universe. They have information about their past. And they can talk about the universe even if they didn't see it themselves. 

They can make clones of animals that lived in the universe. But for that work, those creatures require physical things. So, information itself cannot make anything. It can interact with the physical universe through sockets. Those sockets can be the DNA molecules that contain information. Those sockets or tensors that connect information with the physical world can be the bits in the computer's mass memory. 

But a computer cannot turn that information into a physical form. Without robots. Robots are tensors that allow computers to turn abstraction into reality. Materia can be destroyed. But information lives forever. Theoretical information can be reorganized into a new form. 

There must be some information stored in the system that the system can sort data into a new form. In human brains, memory cells are like the net eye. They can sort information from those cells into a new form with a very high accuracy. The reason for that is that there are so many small information dots that the brain can put into a new order. And the number of those memory dots determines how accurate that image is. The information can make sense. But that information must not have a match in the real world. 

Or, we just don't find that sense from the captured information. Or maybe we should call that thing signals. But are signals physical things? Maybe, maybe not. That means we capture radio signals from space that involve information about reactions in distant worlds. 

Is some other, intelligent civilization behind some of those radio signals? 

The answer is this: researchers have not detected any confirmed messages from another civilization. 

Or a shorter version is: nobody knows. There might be many messages that mean deliberate information. But researchers and AI don't detect those messages from natural radio signals. That means the search continues. And we are alone until we get an answer. We get an answer only if there is a message that comes from a confirmed alien source. Until that silence continues and the answer remains open. 

That is the problem with things like language science and especially the search for extraterrestrial intelligence, SETI. That means we might have billions of alien messages. But we cannot detect the information that those signals involve. 

Because. We don't know anything about the information systems that they have. So we cannot separate those messages from the cosmic background. That is one version of the theories why we don't have alien contact. That model goes like this. They cannot detect our messages, as we cannot detect their messages. And maybe we should be glad about that possibility. 

We call virtual information imagination. That information can seem very reasonable, like a human who walks on air. We know that thing is impossible, but in the virtual world in our brains, those things might seem very reasonable. Or at least we see those things while we sleep. 

In the human body, neurons connect information with physical things. Neurons use information to control muscles and other things. The information that we get exists only if we detect it. If we don't detect that information, it doesn't exist to us. 

https://thatsthenatureoftime.blogspot.com/

The AI in the helmet can revolutionize aviation and spaceflight.

  The AI in the helmet can revolutionize aviation and spaceflight. 

"Illustration of AI Model ChatGPT Navigating a Simulated Spacecraft in a Competition." (Rude Baguette)

Think about AI systems.  Like Chat GPT, as a robot controller. That tool will bring an ultimate boost for the robot that the controller can command using spoken language. But what if that tool is integrated into the aircraft and spacecraft? That can integrate multiple systems under one roof. And when commanders say that there is something. That must be removed; the user must not do anything but give the command. 

The system selects the closest robot that has the strength to make that movement. Robot groups can operate like ant swarms under AI control. The system can include flying units that can search for things for land-moving robot ants. 

What if the space suits are equipped with an AI socket that the system can call an assistant robot if there is something wrong? The future spacecraft can have things. Like assistant robots to make their missions go as they should. 

"The XQ-58A Valkyrie demonstrator, a long-range, high subsonic unmanned air vehicle completed its inaugural flight March 5, 2019 at Yuma Proving Grounds, Arizona." (Wikipedia)

"A XQ-58 Valkyrie deploys an Altius-600 unmanned aircraft system"(Wikpedia)

The AI that can fix errors in maneuvers can be a tool that makes many things safer. The real thing is the AI-controlled operating system in the combat aircraft. The system can integrate with multiple sensors. 

Such as satellites, other aircraft, and ground vehicles. Those sensors can be optical, radar, or acoustic sensors. The thing is that the AI-controlled systems can give flexibility to mission planning. And that kind of system can also make maneuvers in cases where the pilot has no time to react to every threat. The next-generation fighters are rather flight groups than individual systems.  

There are cruise missiles and other kinds of systems flying with those fighters. The drone can be a full-size fighter that can make autonomous attacks against targets. Or that robot fighter can also act in a kamikaze role. The new cruise missiles can also have the ability to refuel themselves in the air. Those missiles can have countermissiles, and they can make feint and instinct maneuvers, and change their speed and flight profiles during operations. And those missiles might have the ability to return to base if they are not needed. 

They must have the ability to communicate with drones and drone swarms. Those, maybe hypersonic aircraft, can drop drones to target areas, and those drones' missions can be to search targets, disturb air defense, and take out the electric supply. Those drones can also destroy things like fuel supply, and the AI-based systems can also target and assassinate enemy commanders. Those systems can be extremely dangerous in the wrong hands. 

https://automatedresearch.org/weapon/area-i-anduril-altius-600m-and-700m/

https://www.flightglobal.com/military-uavs/taiwan-receives-first-anduril-altius-600m-loitering-munitions/164081.article

https://www.rudebaguette.com/en/2025/08/chatgpt-at-the-helm-of-a-spaceship-could-change-space-travel-forever-after-stunning-early-successes/

https://en.wikipedia.org/wiki/Kratos_XQ-58_Valkyrie

https://thatsthenatureoftime.blogspot.com/