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. 

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

Combat and law-enforcement terminators, the real-life skinwalkers.

Above is an image of Robot Janus. Janus was a Roman god who guarded entrances. That god was also the god of beginning. And Janus was the god of the end. Janus was the god of changes, like the god of beginning years. The remarkable detail in Janus was two faces. When another face smiles, the other face grimaces. His two faces represent vigilance and the ability to see both forward and backward. They can also symbolize good and evil, or the transitions between war and peace.

Man-shaped combat and surveillance robots can already be true. 

In 1984, James Cameron introduced Terminator, the killer robot that was eliminating enemies of the Skynet computer. In that time, the Terminator was the Sci-Fi tool that could not be dangerous. But things like large language models, LLMs that control robots, can turn Terminators into reality. The Terminator is one of the examples of what militarized AI can do, if it controls robots. When we talk about risks of AI, we always forget that in the cases of militarized AI, the AI is meant to harm people. When AI-controlled robots operate on the battlefield, that system is made for harming people on purpose. 

And that causes risks. The human-shaped robots that work in warehouses are things that might look cute. The problem is that human-shaped robots can operate with every tool that humans can. That means the same robot that operates in warehouses can also operate on battlefields. Another thing that can be interesting about the human-shaped robots is law enforcement. The law enforcement might want to use AI-controlled robots for cover-up missions like intercepting criminal organizations. Those robots will not change their sides. 

The robot can look like a mannequin. That system can stand in the window and wait for something to happen. When the system sees risky things, the robot can activate its combat mode. The problem is that the robot doesn’t think. Those security androids follow their programs. And in the cases of the robots, it is possible that somebody, like hostile hackers, can rig the operating system. That means when that kind of robot sees things like a targeted person, that kind of robot can attack that person immediately. And that is the risk in robotics. In the wrong hands, those systems are not toys. 

Robots don’t rebel. People rebel. That means it’s possible that some hostile actor buys warehouse robots and puts them to make crimes, like acting as assassins. The human-shaped robot can act as a surgeon, gardener, or security guard. But the same system can act as an illegal actor. The robot can have so-called ghost- or shadow protocol. The shadow protocol, or shadow program, means that there are people who are targeted by robots. When a robot recognizes the targeted person, it can make an attack. And those things might look like accidents. The warehouse robot can make a simple mistake and drop some boxes on the targeted person. Or a robot car can push the gas pedal at the wrong moment. When a robot completes its mission, the ghost protocol can be erased. 

They can transmit all data that they collect to the police HQ, and that decreases risks of those operations. There is a possibility that people can have a cyborg twin who goes on dangerous missions instead of humans. That kind of system makes scenarios where the system operators can replace a person with a robot. The robot operator can be a real-life skin walker. The system can mimic anything from humans to dogs. And the robot dogs and other robots can be very dangerous tools in the hands of psychological warfare specialists. Those systems can involve things like infra- and ultrasound systems that can be used to transmit subliminal messages to the people. The robot animal can slip past the system that uses ultra- and infrasound at the same time to the enemy camp. That system can deny the enemy sleep. 

But robot animals can do many things that humans cannot do. They can observe animals in their natural environment without disturbing them. Robot animals can also search for things like illegal hunting, and they can be used as area surveillance tools. But the problem is that robot animals can handle things that real animals cannot. The thing is that those systems that might look like monkeys can cut the network wires and use weapons. 

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. 

The future AI cognition mimics humans.

The AI can have a physical body. The robot body communicates with supercomputers. And it makes them more flexibility. 

AI learns the same way as humans. The learning process and its power depend on the diversity of the information. AI requires versatile information from multiple sources. And when we think about AI. And its ability to learn things. 

We must think about it. Why and where we learn. We can try everything ourselves. But there is another way. We can network with other people who do similar things. And then we can share our experiences and thoughts with other people in that network. 

We might have a good education. But we go to learning meetings. We learn from other people's experiences. Sharing information makes networks effective tools to learn things. In that model, the single actor must not make and know everything. 

When we talk with other people we can expand our view of things. We get more ideas when we meet other people and share our thoughts. 

We can work with those ideas. And mix them with our environment. That thing extends our corridors and predisposes us to new information. Information plays a vital role in the learning process. If some actor in the network, which can be human or some server faces something. That thing can be shared with another network. If the server is under network attack the system can collect all data from that event into its memories. Then it can share that data all over the network. And other actors can mimic that server to defend themselves against similar attacks. 

Similar way. AI should talk about other things. If the AI is just a language model. It has limited ways to learn things. Mainly large language model learns in a verbal way. And that is a very limited way. It's easy to write things to LLM and order it to do something when something happens. This can be enough in cases where the AI should detect and defend against network attacks. 

In second image is the vision of a robot that operates in the Kuiper Belt. Those robots can have quantum computer brains. The Kuiper Belt is a good place for compact quantum computers. 

That program creates a reflex to the system. When something happens that system reacts like it is programmed. Think about a case in which you should explain everything using words. That thing is possible. But it's more limited than if the AI can use images or films in the learning process. 

That means the AI can learn things from the homepages. And maybe from surveillance cameras. But if the AI has a physical form like a robot that interacts with a server, that runs the AI that extends its ability to learn things. The AI learns things visually. By connecting certain images or things with certain actions. That is a more versatile and easier way to teach things to AI. The physical body that communicates with the server can be discussed with people. 

The robot body can keep in contact with the LLM. The system can operate remotely. The LLM works in servers or in morphing neural networks. Those servers can be in the bunker. Or the system can use non-centralized computing. That means the system can share responsibilities all around the robot groups. The system just connects robots computers into entireties. 

In some futuristic visions, humans will fly to the Kuiper Belt to make quantum computers in that cold and stable environment. In the Kuiper Belt, every metal is in superconducting condition. So that means even human-size robots can have quantum brains. That gives them extremely powerful computing capacity. The low temperature with a static environment makes the Kuiper Belt a promising place to make quantum computers. 

 https://bigthink.com/the-future/ai-cognition-and-the-road-to-meaning/

Biomimetics makes Star Wars-type robot hands and terminators real.

Bio-hybrid robot means a system, covered by human tissue if the system is human-shaped. The biohybrid system can mimic animals. Those biomimetic systems can look like real humans or animals, but they are robots. 

New technology makes things like Star Wars-style prostheses possible. The system takes the commands from the neural tracks. Living human tissue covers those prostheses. That tissue can also made of fungus. The new hydrogel material can also mimic living tissues. 

And the robot arm can also have a chamber for the bone marrow. That helps to feed the tissue and saves a person from anemia. 

Robot arms can have bio-printed muscles. And they can also have servo-systems in their angles. 

Those prostheses communicate with neural systems using microchips that will decrypt human nervous signals for computers. Those artificial limbs are impossible to separate from real limbs. 

But basically, the Terminator-shaped robots from Terminator movies can turn into reality in a couple of years. Those cyborgs can be covered by living tissues. They can eat the same food as we do because those tissues need nutrients. The system can use fuel cells, nuclear batteries, or regular electricity to keep its computers on run. 

The system can communicate with the central computers using the Internet. The large language model, LLM is the thing that allows its operators to command it. Those kinds of robots can act as recon tools under the control of remote operators. Those operators can load different types of modules to those systems. 

The new neuro-implanted microchips and the living tissues make it possible to create new and powerful robots and prostheses. The living-self healing materials that cover robots or robot arms can make human-like cyborgs possible. Those tissues can be living human skin, or it can be some kind of fungus. The cyborg can make many things that are too risky for law enforcement and intelligence work.  In undercover missions. Human-shaped cyborgs can replace humans.

Operators command those AI-controlled robots through the large language models, LLM. Those robots will not change their sides. And it makes them useful in undercover missions that are effective against the drug cartels. Those cartels can be very dangerous. And those missions are very dangerous for their operators. 

The robot as intelligent as humans can be closer than we dare to think.

Artificial muscles and synthetic organic intelligence can be tools that make it possible to create robots. More intelligent than humans. The artificial muscles are tools that mimic human body movements. Those muscles can be protein fibers that are made to mimic the muscles. Those fibers can change their length. When something like electric impulses impacts those fibers. 

Those systems are called "dry" solutions. The wet solution includes small bags, filled with electrolytes.  When electricity is conducted to electrodes that are at both ends of the bag,  electricity pulls electrolytes to that side of the structure. Another way is to use cloned muscle tissue and 3D printers to make that kind of muscle. 

When we think about computers and computer-controlled systems those artificial muscles require nutrients. Those muscles can be put on the metallic- or carbon fiber skeleton. There must be some kind of bone marrow. That makes blood to those artificial muscles. The brains for that kind of system can be computers. Or they can be so-called synthetic organic intelligence. Synthetic tissues require nutrients. 

Synthetic organic intelligence means the cloned neurons. These are 3D bioprinted things that can think like human brains. Researchers hacked the DNA that makes our brains unique. Then the system injects this special DNA into the mini-brains that are created for medical research. The system can grow those brains under the class domes where the system feeds those cells. 

Then the system can drive memories to those cells using the microchip and then the brain and its substitence will transfer to a robot body. That kind of robot can be our worst nightmare or our salvation. The robot that is more intelligent than humans was theory a couple of years ago. But bio- and genetic engineering and highly advanced AI-based computing are making those visions closer than ever before.

https://scitechdaily.com/the-secret-to-human-intelligence-scientists-uncover-dna-that-supercharged-our-brains/ 

Researchers connected catfish and alligator genomes.

Above is the portrait of Digenes the Sinope. Philosopher. Who sends his dogs to shop for him. This story from ancient Greece inspired researchers to create the hybrid species. Those hybris species are made for researching the behavior of the individuals, but sometimes people are talking about things like intelligent pets, that purpose is to serve humans like dogs served Diogenes the Sinope. 

The military is, of course, interested in genetically engineered animals and hybrid animals like wolf-dog hybrids. Hybrid animals are not interested in other animals and especially opposite genders. 

That makes them safe for their operators. Those hybrid animals will not make things like start to bark in the patrol and alarm the entire enemy troops. 

The database collected in CRISPR and nanotechnology is the ultimate combination. If we want to transform certain abilities from one species to another, we must precisely know the DNA sequence where that certain ability is. By using genetic engineering is possible to make many things that were impossible before. And that thing is the ultimate opportunity and ultimate threat. 

Researchers can make things like intelligent pets, that are making services to us. And if we have things like genetically engineered dogs, we could send those dogs to shops. 

There are no limits to the genetic engineering and development of new species. The only thing that limits this research is the genetic material that the researcher can use.  

Using the well-equipped laboratories. Researchers can make organisms that die at a certain moment. And that kinds of things are fascinating and at the same time frightening examples that science can make. 

And more about hybrid species. 

There is a simple explanation for Big Foot. And that thing is the bear that walks in an upright position. So how do some bears choose that position rather than walking on four feet? The fact is that bears very often rise to that position when they hunt or mark trees. And this special bear was injured to the front feet. But does that thing explain all BigFoot observations? 

By the way, there is a story about BigFoot on ScienceAlert.com. That article claims that the BigFoot is the bear that walks in an upright position.  And that causes very interesting ideas in my mind. Is it possible that BigFoot is a hybrid species? 

Maybe, it's the hybridization of the bear and some other animal like a monkey. But there is, of course, possible that the Big Foot is the bear that just wants to walk in an upright position. There is the possibility that BigFoot is some kind of hybrid. But that is only speculation. The question is how bears learned to walk mainly in an upright position.

https://bigthink.com/life/crispr-alligator-gene-catfish/

https://www.sciencealert.com/bigfoot-has-a-very-simple-explanation-scientist-says

https://webelieveinabrightfuture.blogspot.com/

A tsunami of pessimism is ruling headlines.

Robots are many times causing negative feelings because negative things like robot weapons are ruling headlines. Most robots are not weapons. These robots are delivering food to customers in Espoo, Finland. 

Those robots should have a manipulator. If food delivery robots have flexible manipulator arms. This allows robots to push traffic-light buttons, open doors, and even use elevators. Or if the elevators and code-locks are equipped with remote control systems the robot can deliver food to upper floors. 

Pessimism or negative things are ruling headlines. There are been many predictions based on negative publicity. The most well-known case was "delete Facebook". And then all journalists repeated that mantra and again. 

Facebook is not the only social media application. And there are also many good things in this application. 

All social media applications are similar to Facebook. When something new is brought into the hands of people. The only thing that people first see is negative. 

When people are planning to use things like geothermal energy. That thing causes earthquakes. Same way things like taking oil and gas from the ground are creating earthquakes and falling the ground level. 

When wind generators are built the first thing that they cause is resistance. They destroy the horizon. And they are expensive. The writers are always forgetting that wind generators don't need fuel. 

Social media brought many things to the front of the public eye. Things like racism, cheating, and economical walls have risen in front of the eyes of regular people. 

Things like Artificial intelligence are seen only as things that are stealing works from humans. Did nobody ask what kind of jobs robots and AI are used for? Are they work where regular people want to get? 

When we are looking at things like drone swarms we must remember that without those systems Russia might already win in Ukraine. But the fact is that drone swarms can also search people and observe large areas. But the only remembered thing is their use as weapons. 

Connecting data from the surveillance cameras can use to track criminals from the streets. If the security cameras of shops are connected with street surveillance cameras, the system can take an image of them. And then the system can use face comparison to search where the thief goes. 

But the only thing remembered thing are the black people who are taken under search. Because the system has seen that they stole something. The question is how many black person police would check without those systems. 

When food delivery robots started their duties there was news that the student who sat in a wheelchair didn't get access over the road, because that robot didn't dodge that student. The interesting thing is that this case was not a typical incident. Mostly those robots are doing their work very well. 

There is one interesting error in those robots. They cannot push buttons like traffic light buttons. So if those robots have a system that pushes traffic light buttons, or even elevator buttons, that thing makes them even more flexible. 

That system can be the manipulator finger that could turn into a curve. And that allows the robot to open doors and drive in the stairwells, use elevators and even use door codes. 

Pessimism or negative things are ruling headlines. There are been many predictions based on negative publicity. The most well-known case was "delete Facebook". And then all journalists repeated that mantra and again. 

Facebook is not the only social media application. And there are also many good things in this application. 

All social media applications are similar to Facebook. When something new is brought into the hands of people. The only thing that people first see is negative. 

When people are planning to use things like geothermal energy. That thing causes earthquakes. Same way things like taking oil and gas from the ground are creating earthquakes and falling the ground level. 

When wind generators are built the first thing that they cause is resistance. They destroy the horizon. And they are expensive. The writers are always forgetting that wind generators don't need fuel. 

Social media brought many things to the front of the public eye. Things like racism, cheating, and economical walls have risen in front of the eyes of regular people. 

Things like artificial intelligence are seen only as things that are stealing works from humans. Did nobody ask what kind of jobs robots and AI are used for? Are they work where regular people want to get? 

When we are looking at things like drone swarms we must remember that without those systems Russia might already win in Ukraine. But the fact is that drone swarms can also search people and observe large areas. But the only remembered thing is their use as weapons. 

Connecting data from the surveillance cameras can use to track criminals from the streets. If the security cameras of shops are connected with street surveillance cameras, the system can take an image of them. And then the system can use face comparison to search where the thief goes. 

But the only thing remembered thing are the black people who are taken under search. Because the system has seen that they stole something. The question is how many black person police would check without those systems. 

When food delivery robots started their duties there was news that the student who sat in a wheelchair didn't get access over the road, because that robot didn't dodge that student. The interesting thing is that this case was not a typical incident. Mostly those robots are doing their work very well. 

There is one interesting error in those robots. They cannot push buttons like traffic light buttons. So if those robots have a system that pushes traffic light buttons, or even elevator buttons, that thing makes them even more flexible. 

That system can be the manipulator finger that could turn into a curve. And that allows the robot to open doors and drive in the stairwells, use elevators and even use door codes. 

https://bigthink.com/the-present/end-cynical-the-end-of-headlines/

Image:) https://www.mtvuutiset.fi/makuja/artikkeli/alepan-ruokarobotit-olivat-tyomatkalla-espoossa-kun-liikennevaloissa-iski-tenkkapoo-herkko-kuvasi-surkuhupaisan-tilanteen-se-pyysi-englannin-kielella-apua/8407184

The first-time robot learned to imagine itself.

For the first time in history, a robot imagined itself. It looked at itself from mirrors and made a copy of itself.  Of course, robots could make copies of themselves by using CAD drawings, stored inside their memories. But the ability to imagine themselves is fundamental. 

The ability to imagine themselves without the 3D images makes it possible that robot can fix their damages autonomously. That thing is necessary when the robot is operating in areas where they need to be extremely independent. 

The ability to imagine themself will work with the 3D models of the robot's surface layer and its system. The image tells what the structure should look like. And the cameras and other sensors are telling the real situation. The robot's core can contain sensors that are observing what its skeleton and hydraulics are looking like. And if there is some kind of warp or other damage. 

The inner core of the robot can have sensors that are observing the condition of its inner structure. Those sensors can be lasers that are following possible wraps and bricks in the structure of hydraulics or robot's other structures. The system knows, that it needs repair if it sees errors in those structures.  And then, it can start to create spare parts by using 3D printer technology. 

This ability makes it possible to create systems that are repairing the damages in manned systems. There is a possibility that the 3D printer systems are installed in the structure of the vehicles. And they can repair damages like holes in the core. Or those systems can create any part that the robot needs. 

Developers can install self-repairing systems in all kinds of vehicles or other systems. As an example, deep-space probes can repair their structures by using 3D-printer technology. 

The system can find needed minerals by using spectrometers. Then they can melt them by using lasers and microwaves. The probe can also use carbon asteroids for creating carbon fiber. The only problem is that melting carbon for fibers requires quite powerful lasers or electromagnetic systems. 

But a similar system can make repairings for tanks, armored vehicles, or even flying aircraft. The only thing that this kind of system needs is material that 3D printers can use when they do their jobs. 

https://scitechdaily.com/for-the-first-time-a-robot-has-learned-to-imagine-itself/

In the future, robots can call the emergency center when they need computer assistance, like new programs.

Even if spontaneously learning a computer or algorithm is hard to make it's possible, that in the central computer is the library of the computer codes made for different situations. The man-size robots have limited computer capacity. So for making databases and computer code lighter the robot can "forget" the unnecessary code. 

That means the computer deletes the databases after they are used. And then the robot can load the new algorithms into its memory. The ability to change code in the computer makes algorithms less complicated. And robots are more flexible when they can change the components of their program. 

There is an image, where the robot is using the computer. The technology where the programmer can program robots by sending the program code from the computer screens already exists. The system uses a camera or robot's eyes for reading programming code to the computer's memory. When artificial intelligence detects programming code it resends it to a programming tool. 

The new fast-learning algorithms are fascinating tools. A similar algorithm that is used to translate texts from digital images, can be used for programming robots and computers. There is the possibility that the system reads computer program code to a programming tool similar way texts are read to the translation program. So maybe in the future the robot can sit next to the human worker and read the code lines from the computer screen. 

Human size and human-form robots would be the most flexible tools than anything before. The human-looking robots can operate by using the same tools as humans. And the human-looking robot can turn any aircraft or tank in the world into a drone. But the problem is that those systems still have limited computing capacity. The complicated algorithms make it possible that the system can make many things. But what if the robot can ask for help by using regular mobile telephones or interacting with security cameras? 

In the last case, the robot can send a message to the surveillance camera, and then the system can send new instructions to it from the information screen. And in the first case, the robot can simply use the cell phone for asking new computer codes in the form of text messages. The fact is that the new programming code can send to the robot even in the form of a paper letter if the system uses the camera-based reading systems. A similar system makes it possible. That the translation application can read texts from digital images. 

And the computers can send programming code also to programming tools. There is also possible to create a translation program that translates the normally written orders into the form of programming languages. The system can also use speech through the speech-to-text application. And when the operator orders the robot to walk this message will be translated into the regular programming language. 

These kinds of abilities are making robots more powerful and flexible. The ability to send code lines to the robot in the form of text messages makes it possible that robots can operate almost without trouble in areas where internet connections are bad. 

There is the possibility that the robots of tomorrow can use similar mobile applications to a normal person. And if the robot will get in trouble it can send the text message to the central computer that sends the program code to it in the text message. This kind of system makes it possible that robots can interact with controlling systems in many ways. When robots are in trouble they can simply send a message about the situation in the form of laser rays to surveillance cameras. 

And then the local information screen can flash the needed program code to the robot. Those flashes can maintain less than half a second. And then the robot will resend the code to the system for making sure that is the right thing. Maybe that emergency center for robots is real in the world of the future. 

Making this kind of system effective requires the central computer must, of course, to know the mission. So when the master of the robot is giving orders about what the robot should do that person must just make a phone call to the computer center and say what the robot must do. 

Image:) https://www.dotmagazine.online/issues/ai-intelligence-in-the-digital-age/ai-changing-the-game-for-good/ai-for-network-infrastructure

New doctrine on the battlefield is rising.

One thing that we must realize is that combat drones are meant for operating with manned systems. That means the combat aircraft can drop quadcopters to the operational area. Or they can operate as mixed swarms where is manned and unmanned aircraft. Some people are saying that combat drones are non-humanitarian systems. But the fact is that they are effective. The combat drone and hybrid army where the man operates along with robots. Is one of the most terrifying things that we can imagine. 

The evolution of military systems is at crossroads. The next-generation systems might be a combination of extremely expensive multi-role combat aircraft. But those multi-role combat aircraft can drop the killer drones to the battlefield. And things like loyal wingman drones can operate along with manned systems. 

But the problem is that the purpose of the combat systems is to be terrifying. The mission of combat systems is to be afraid. Their purpose is to confess to other nations that are not acting against the state. And this is why the most of weapons are somehow nonhumanitarian. The purpose of military force is to be terrifying. Its purpose is to destroy and kill enemies. And that is the reason why the weapons are so frightening. 

And frightening weapons are effective weapons. Nuclear weapons are the most destructive things in the world. We all know what those weapons cause to people. But many nations are taking those weapons in their arsenal because they guarantee authority and respect for those countries and this is the reason why nuclear weapons are so wanted thing. And this is why other nations are criticizing those weapons. 

People are criticizing killer drones that they are non-humanitarian weapons. Same way cruise missiles, ICBM missiles machine guns, cannons, and other things like rocket launchers and mortars are not humanitarian weapons. Or are you ever heard of humanitarian weapons?

In the novel "The Naked Sun" novelist Isaac Asimov described one most terrifying things in the world. The mass-army of the robots. The man-shaped robots can easily handle all missions on the battlefield. The problem is the limit of their computing system. But times are changing and compact quantum computers can fix this problem. The power of quantum computers is making those systems unpredictable. And unpredictable robots are always dangerous. 

The robot armies are a terrifying thing. Commanders of robot armies must not care about losses. And robots are not excused orders. But there is one aspect that we must realize. There is one thing that is also causing criticism against robot soldiers. The robot armies can offer also small countries the conventional attack capacity that has been "reserved" for the largest militaries in the world. 

So if the country has a large-scale robot army. That system means. Even if a big arm attacks against that country. The result remains unknown. When we are thinking about traditional warfare the result of the war was easy to predict. A bigger nation always won the war. And other countries were easy to choose their side. The winner of the war was easy to predict. And that's why traditional armies were based the large groups of men and equipment. But then WMD (Weapons of Mass Destruction) took their place on the battlefield. 

The gas weapon was not effective against military groups who used gas masks and protective suits. Things like Chemical weapons were prohibited because they were not effective against combatants who use protective gear. But things like nuclear weapons are still in service. Nuclear weapons are easier to justify than some poison gasses.

Sometimes, somebody is said that the reason why aerosol or FAE explosives wanted to prohibit is not that the creators of those weapons are afraid that enemy snipers shoot at those bombs. The aerosol bomb is the propane tank where is detonator. If some sniper shoots at those tanks that can cause an explosion. 

Microchip-controlled robot fish is a pathfinder for robotics and organ transplants.

The autonomous biohybrid fish made by human cardiac cells is opening new roads to create new hybrid organisms and cyborgs. It opens the new visions for making artificial organs for an organ transplant. There is the possibility that the next generation organ transplant. Bases genetically engineered pigs where the organs are grown. Or researchers maybe clone organs. By using the own cells of the human. There is the possibility that the cancer cells can use as the base for that kind of thing. 

The genomes of the wanted organ are taken from the cells that are forming the organ. Then they are turned into viruses that are injected into those cancer cells. The artificial virus can equip with the genetic code that makes the cell destroy its DNA. And then the virus can replace the genome by using synthetic DNA that transforms the cell into a wanted cell. 

But in some visions, the genetically engineered cells are the next-generation doping. The cardiac cells are extremely strong and that thing makes the visions create normal muscles by using cardiac muscle cells. And that thing is possible by making the genome transplant to the regular muscles. Also, genomes from the gorillas and reptilians like Anacondas can connect with human muscles. And that thing makes those muscles stronger than anything before. 

The cloned organs and muscle cells can connect with robots. The living tissues allow making flexible structures. That makes it possible to create the cyborg animals like robot fishes and birds. Microchip-controlled animals can be the next-generation tools for research and intelligence work. Artificial muscles can be connected to the metal skeleton. But in the perfect models, the computers can control the cloned body. 

The use of living tissues allows robots to fix the damages themselves. The robot doesn't need powerful internal computer systems. The thing that robot needs are a powerful data connection. That connection allows the supercomputers that are in the data center to control robots. When the robot loses its connection it must just find the map of GSM connections and then walk to the area where the connection can be re-establish. 

That thing makes it possible to create a real-life cyborg. Those cyborgs can use the fuel cells for making electricity for their computers. That means the system can use any kind of hydrocarbon for making electricity. And in the most interesting visions, the cyborg could be the so-called "gastro-bot". 

What kinds of robots are eating the same things as humans. And that thing makes them useful for many types of operations from undercover actions to complicated research and development work. Maybe this kind of remote-control robot that is acting so-called "external bodies" and allows the enhanced reality experience are things that analyze the first samples from planet Mars. The operators can use those robots by using virtual reality tools. And maybe they can use the BCI (Brain-Computer Interface) for allowing borderless cooperation between robot and operator. 

https://arstechnica.com/science/2022/01/the-genetic-engineering-behind-pig-to-human-transplants/

https://scitechdaily.com/autonomous-biohybrid-fish-made-from-human-cardiac-cells-swims-like-the-heart-beats/

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

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

Image:)https://scitechdaily.com/images/Biohybrid-Fish-Swim.gif

https://thoughtsaboutsuperpositions.blogspot.com/

Digesting ducks and stomach robots

Digesting Duck of Jacques de Vaucanson

Gastrobots and fantasies 

Gastrobots or "stomach robots" or robots that eat normal food are interesting tools. Their origin is in the Digesting Duck of Jacques de Vaucanson (1709-1782). 

In some military visions, the "Digesting Duck" would equip with the plastic explosive wire that it can deliver after it. That means the robot would walk into the yard and leave the wire of plastic explosives after it. And then the operators must just push the detonator. 

There is created the version of that robot that drinks alcohol or gasoline. That means the system needs only refueling sometimes. There is introduced a system that uses compost. In that model, the robot eats normal food that is rotting in the chamber. That process creates methane. And that robot uses methane in its fuel cells. 

There is the possibility that an alcohol-using robot is also using bioreactors for making their fuel. The hive, sugar, and starch are turning 96% alcohol. That alcohol can use as fuel. 

But there is the possibility that the alimentary canal would install the "gastro-robot". There is a lot of rotten food. And the robot is easy to put into the alimentary channel. The robot's core can create by using silicone. And that makes the system can move in the stomach by using the remote control or independent control. 

And the robot tapeworm can take the food for its compost and that food can make methane inside the robot. The robot can also use the stomach acids for making electricity for that system. This kind of system can for removing tumors from the intestines. 

Cover art from Finnish translation of "Hardwired". (Pinterest)

The gastro-robot played a big role in the cyberpunk novel Hardwired. 

In that fictional book, there is the gastro-robot. Inside the body of one character. In that novel, the gastro-robot was the assassination tool. When the system locates the target. The gastro-robot will come out from the throat and then it destroys the veins of the victim. The thing is that this kind of system can operate by using implanted microchips. 

Or it can take its commands from the microchips that are in contact lenses or inside the eye. When the targeted person is in the right range. That face recognition would activate the attack program. The fact is that this kind of technology exists. And when we are making things like intelligent lenses that can communicate with other microchips. That system can also use for evil. In that novel, nobody told the person about that system. And that is the risk of the high-tech tools. 

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

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

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

https://writingsaboutmysteries.blogspot.com/

Maybe the human brains are the key to making a more energy-friendly and powerful quantum computer.

The researchers of Riken are testing the free-energy-based theories. For creating models for self-learning neural networks. There is a link to that article below this text. The energy-effective quantum computers are the key to self-operating robots. 

But when we want to make an effective self-learning quantum network. We can connect the energy to data that is driven in the system. And another thing that makes those neural networks effective is that every single part of the intelligent neural network would be intelligent. 

They can share the energy overdose. To other parts of the neural network. And that decreases the need to use electricity. That thing can make those quantum computers more energy-friendly. This makes it possible to make smaller quantum computers. 

In neural networks is many small components that are acting as an entirety. And the most well-known neural system is the human brain. One neuron might not very impressive. But 200 billion neurons are turning that neural system into the most powerful quantum computer in the world. 

https://scitechdaily.com/the-free-energy-principle-explains-the-brain-optimizing-neural-networks-for-efficiency/

Image: https://scitechdaily.com/the-free-energy-principle-explains-the-brain-optimizing-neural-networks-for-efficiency/

The principle of AI is that it must do only things made by programmers in purpose. 

The principle of the developers of the AI is that they don't want to make any kind of rebellious robots. Artificial intelligence must make things that programmers want without any nasty surprises. 

The AI must not have the power and abilities that are possible to make. Those systems must have only the wanted abilities. Same way nuclear weapons must not give the most powerful power that they can create. The nuclear weapon must give the wanted and needed power. The thing that makes AI's safe is that they can operate in limited areas. But self-learning platforms are the thing. That can make those systems the same way multipurpose. And able to operate the same way in the large sector as humans. 

This thing can move to the world of AI. The platforms of AI must do only things that are wanted. But if there is a possibility to make robots that can visit shops for people and paint their houses. That thing can seem very nice. But those robots must have limits. There must be a system that allows robots to resist and make a report if somebody orders it to make something illegal. 

The robot is not the same as the AI.

The AI is a computer program or algorithm that can do many things. The robot is that platform that is making physical operations under the control of the AI. So the robot body itself would not be independent. That physical system can cooperate with supercomputers by using the WLAN systems. 

When developers are creating the AI. They are creating systems that can make things what their controller wants. They are making the segment of which kinds of things the AI must do. There is no AI that can do all possible things. 

Modular AI can do many things. In modular AI many separated algorithms can operate independently. There might be different algorithms that are reserved for the military, law enforcement, and civil work. So the same robot body can make all missions that humans can. And the only limit is what skill segment it can use. 

The fact is that modular AI is making robots operate in many areas. One of the examples is the robot servant. There are certain rooms in the house. And there is a series of actions or certain modules for every room. When the robot is moving to the living room it downloads the module. In that module are the actions that are meant for the living room. 

When the robot moves to the kitchen there might be an electronic calendar. When the robot's owner stores some work in the calendar. That mission is transferred to the AI that controls the robot body. If the owner of the robots will give the order to make the certain food. 

At the first, the robot or controlling AI can search for the receipt of the food from the Internet. The robot would see the freezer if there is the needed raw material. If that raw material is not stored. That robot visits the shop. Putting the required algorithms in modules that denies that the AI's code will not grow too large. 

The metal-binding proteins might be the origin of the first lifeforms on Earth.

Image: ScitechDaily/Profound Discovery on Origins of Life on Earth – Evolution of Metal-Binding Proteins

The metal-binding proteins might be the origin of the first lifeforms on Earth. And those molecules can give new power to nanotechnology and medicines. 

The metal-binding proteins are the thing that can make the life of the first lifeforms possible. Those proteins give visions also for extraterrestrial lifeforms. And the protein that is a binding metal can play a key role in the new self-repairing nanostructures. If we think that the nanostructure is forming of carbon fiber. And then there would form the hole in the structure of the carbon chains there is the possibility that these kinds of proteins are playing a key role in self-repairment. 

Those proteins install to the end of that carbon fibers. And then those proteins can make contact with liquid there are metals. After that to the carbon chain will conduct electricity. Or the magnetic field will use to put those carbon chains in position. Also, there is the possibility. That in the future. Those metal-binding proteins will use to remove poisonous metals from the water and ground. 

The metal-binding proteins are also very dangerous if they are in the blood vessels. Those proteins can remove iron from the hemoglobin. And that thing causes death. So those proteins can use as the new type of chemical weapons. Or they can use as cytostatic. The idea is that those proteins will inject into veins that are transferring nutrients and oxygen to the tumors. That protein will deny the hemoglobin can transfer oxygen in that tumor. And it can destroy those cells. 

Nanomachines can give a cure for cancer. 

The origin of life on Earth will give ideas for modern nanomachines. When we are thinking possibility to produce the proteins that are binding metals by using biological components that things can use to give a cure for cancer. Genetically engineering can make it possible to create super immune cells that can destroy cancer cells that use nanotubes for sucking mitochondria from the immune cells. 

One of the versions is to connect the genome that makes ricin vegetable to create ricin in the immune cells. Those "tuned" immune cells can be microchip-controlled. This system can turn the cancer cell's ability to steal mitochondria from immune cells against it.  The idea is that the ricin molecule would be behind the pseudopods that the immune cell uses to detect the cancer cell. And when the nanotube is starting to pull the mitochondria in the cancer cell it would also get ricin molecules in it. 

There is the possibility that the ricin-creating genomes would connect the mitochondria of the immune cell. Then there is the suppressor that denies the ricing creation. The cell can create a protein that cuts ricin when it's in the immune cell  But when it will transfer to the cancer cell. That activates the creation of the ricin. 

That thing causes the death of cancer cells. Another version is to use the microchip-controlled basils or amoeba and then that amoeba can shoot the ricin or pepsin in the cancer cell. Nanotechnology makes it possible to create nanomachines that are sucking the cell organs out of the cancer cells. Or they can simply cut the membrane of the cancer cells open. 

https://scitechdaily.com/profound-discovery-on-origins-of-life-on-earth-evolution-of-metal-binding-proteins/

https://scitechdaily.com/cancer-cells-use-tiny-tentacles-to-suck-mitochondria-out-of-immune-cells/

https://thoughtsaboutsuperpositions.blogspot.com/

Self-repairing materials are closer than ever before

The waving carbon layer can be the first self-repairing material. The idea is that when the material is intact. It will be stiff. When the bite of that carbon layer is missing material is waving. That waving movement will make it possible that the bites of that material are finding themselves again. The structure can form fullerene molecules. 

And there is possible to connect those fullerene molecules by using the electromagnetic interaction. The fullerene molecules can load electricity. If every second of them is loaded with electricity the static load will pull the material together. There is also possible to put iron atoms or molecules to fullerene and magnetize those things. 

But the self-repairing materials and structures are researched for a long time.

The self-repairing structures and the self-building racks are possible to create. The system connects itself to one form automatically. It will look like a group of steel snakes or giant spanners. Each of those bites knows its place in its entirety. Then the other types of robots which form is like the caterpillar track will go in the structure. And then those robots act like the walking layers on the self-assembling rack. 

There is made researches on nanotubes that are normally laying as the layer. At the end of some nanotubes is the magnetic system that rises those nanotubes to 3D-box looking structure. That kind of thing can use in intelligent bullet-proof vests and intelligent armors. When the bullet touches the most out layer the magnets will pull those nanotubes to cell structure where are multiple layers of small boxes. That will pull kinetic energy to itself. 

There is the possibility to make layers that are repairing themselves. The systems that can make that thing might be like the combination of Legos and microchips. Every each of those bites knows its position in its entirety. In that kind of structure, the system is a small robot that is moving in its position automatically. But when we are thinking about nanotechnology and self-repairing materials. That might be elastic we are facing one thing. 

The nanotubes can equip with teeth that are touching together. That makes them act like some sea worms. And those robots can create large structures together. Those robot worms can also repair one member of the entirety if that thing is damaged. 

The needed technology is like small cables that are like velcro tapes. Those structures would move like snakes or millipedes. Every foot of those tiny robots is a manipulator that touches each other. 

The head and sides of those small wires would be strings that are turning into loops and hooks. Then those strings are touching each other they would connect themselves like velcros. Then if those structures are separated they would need to find themselves. And then the system will stabilize the connection. 

If one of those robots is damaged. The production unit will make the new robot. The thing that makes the new robot find its place is quite easy. The remaining robots are sending their ID code to the store or production unit and then the unit knows where the new robot should go. The thing is that the new types of technology might be even more fundamental like this. 

https://scitechdaily.com/self-healing-nanomaterials-self-repairing-electronics-are-on-the-way/

Image: https://scitechdaily.com/self-healing-nanomaterials-self-repairing-electronics-are-on-the-way/

https://thoughtsaboutsuperpositions.blogspot.com/

 

 Hacking the brains is needed for advanced robotics. 

Hacking the brains and creating synthetic memories is one of the biggest conspiracy theories in the world. The thing is that these kinds of things are under research and the purpose of that kind of technology, where brains are hacked or cracked is to fix brain damages. Hacking the brains is theoretically very simple. The researchers must only record the EEG from the brains and then connect that EEG signal to certain images. So this thing makes it possible to read dreams and affect them. 

The person would see images about things like animals or humans, and then the EEG will record while that process. Then the person looks at a longer film. And then the EEG that is recorded during that process. Will compile with the EEG records that are taken while the person looks at images. The problem is only if those EEG curves are unique. But if the EEG curves are similar there is the possibility to download things like dreams to the screen of computers. 

The thing is that hacking brains are giving the ultimate possibilities in many areas from science to the military. There is the possibility to educate people simply by inputting data into their brains. And the false memories are making it possible to give combat experience to soldiers before they even go to combat. But these kinds of systems are extremely dangerous in the wrong hands. 

There are visions of the external robot body. Brain hacking gives those systems the ability to communicate with the nervous system without borders. This kind of system requires brain hacking for working perfectly. 

Hacking the brain is needed for developing the prosthesis. That is reacting to nervous signals. The system must "only connect" certain EEG curves to certain movements. The same system can use to control robots and especially human-looking robots by using brain waves. The reason, why the human-shaped robot is easy to control by using the EEG. 

Is that the manipulators and the senses have the match in brains and robot body.  So that thing makes it possible to make a robot emulate the movements that the operator makes. If the system uses the signals taken from the brain areas. Which controls the person's movements the controlling that kind of system requires that person is moving. 

So the system that controls the EEG signal requires the brain tracks that are activating the neurons that are moving muscles. The problem with that kind of external body is that the person who is using them must move while using that robot. The system uses the signals that are taken from the movement centers. So making that kind of system using the system requires the data that activates the neurons that are moving muscles. 

The series of neuron activation while the person will move hands

1) Will to move hands will be sent 

X) To the transmitter-neuron sends that data to 

2) Neuron what is controlling muscles

So the series of actions that this kind of system needs to move robots. While a person sits on the chair is this:

1) Will to move hand or leg will be sent 

X)  to transmitter neurons

2) The robot control level

The problem is how to aim the signals of the transmitter neurons to the robot. That means that those signals must reroute to the robot without those signals can activate the neuron that controls muscles. But if the operator can move all the time. That thing is not the problem. 

Of course, muscles can be disabled, by using some medicals, but that thing is dangerous. And that means the system that controls the external bodies by using the EEG is a challenging but fascinating mission. 

The BCI (Brain-Computer Interfaces) are the key to BMI (Brain-Machine Interfaces). Those systems are control robots by using EEG. Normally the BCI is connected to the speech center in the human brain. And that thing transforms EEG to speech. The same system can use to control robots. The same signals that control the speech synthesizer can route to control robots. So when the operator thinks "robot move forward" the robot moves forward. 

The problem is. How the AI knows which commands are meant for the robot? The solution is taken from dog training. When trainers give commands to dogs they must separate the commands from common noise. 

Certain gestures or certain words predict those commands The purpose of those things is to tell the dog that commands are meant to it. The same problem is with robots. Robots must separate the commands that are given in purpose from other words. 

Before every command is a confirmation word. And the purpose of that prediction word is to route the command to the robot. 

Every order that is given to the robot is forwards the control word. That the AI recognizes that commands are meant for the robot. The same system can use voice commands. And the BCI is only the enhanced version of this system. 

The operator can use virtual reality sets and headphones to connect themselves to the robot. But there is the possibility to connect the robot to the body by using the neural connection that allows controlling robots straight with the EEG. 

https://futurism.com/could-we-hack-our-brains-to-gain-new-senses

https://scitechdaily.com/cracking-the-neural-code-to-the-brain-how-do-we-provide-meaning-to-our-environment/

Image: https://scitechdaily.com/cracking-the-neural-code-to-the-brain-how-do-we-provide-meaning-to-our-environment/

https://networkedinternet.blogspot.com/

 New robots bring new tricks.

Robots that emulate fish are more effective than robots that are using propellers. If the robot has similar fins and tails with fish. It won't get stuck to the algae and water vegetables so easily as propellers using robots. The problem with small-size robots is that they have limited power sources. The thing is that also larger nuclear-powered submarines can have fins and structures like pike fish that kind of submarine might have stealth drive along with propellers. 

Structures that are used and tested in miniature submarines. Can turn to use in larger-scale submarines. There is also tested the cuttlefish-looking submarine construction. Those kinds of systems can use water jets for driving fast underwater. 

Then the robot can use those fins in the area where the system needs to operate accurately. Those robots can be of various sizes. And they can use to recover the material from the bottom of the oceans by using manipulator's arms. 

Those little bit spider-looking machines can use to return things like nuclear reactors and secretive things like dropped nuclear bombs in secretive missions. As well as they can use to return chemical waste or something like that. 

The flying man-shaped robots can also be modern technology. The same technology that is created for those systems can also use to lift people. The man-looking flying robots can someday research planets like Venus and Saturn moon Titan. But they can also drop to research the jungles in Papua-New Guinea. 

New technology like large-size quadcopters can use to lift people from the ground. And sometimes is tested the backpack, that has a helicopter structure. The tail rotor would be at the end of the telescope tail. And the main rotor would be in the middle of the backpack. Those kinds of systems have problems with power supply. 

So the quadcopters are easier to control. And they can be connected to the wireless game control sticks. Those systems are almost safe. Because of the battery is ended. That robot can have autorotation mode. The autorotation guarantees that the system can return to the ground safely. 

The quadcopters that are lifting humans can use to land the special operations teams to the ground. And then fly back to VTOL aircraft. The same quadcopters can also rise window cleaners to the roof of buildings. But in the same way, things like burglars can use quadcopters to lift them and their equipment to the roofs of their targets. The fact is that this kind of technology is open source. Everybody can buy a quadcopter from shops. And then the person needs only the employment skills to enlarge that system. 

Italian "iron man robot". (https://www.engadget.com/)

https://interestingengineering.com/cuttlefish-like-robots-are-far-more-efficient-than-propeller-powered-machines

https://networkedinternet.blogspot.com/

The noise is a problem for voice commanding robots.

 The noise is a problem for voice commanding robots. 

Artificial intelligence and especially in voice commands is one problem. And the name of that problem is noise. When people are giving orders to robots the problem is how to filter those orders which given in purpose from the noise around the area. The selection is important when the orders are given to robots that operate in the middle of people. 

The voice commands what the robot that operates at the station can consist of things that "would you step away" or "help" which means some person needs help. But how to separate the ask for carrying packages from the cases where somebody drops on the railway? And of course, there are many commands that robots should not follow in every case. The thing is that if the robots would get command to hurt somebody. 

That robot should not follow it. But the problem is how the robot separates the orders from the "ducky talk". One version is, of course, following the way that is used in the training of dogs. In that method, there is the gesture. That is given before the command. And that gesture will prepare the robot for command. 

But there is a possibility that the gesture is connected to some mark. Like ring or jewelry that confirms robot that person is allowed to give such orders. There is the possibility that in the wristwatch or ring. Is hidden the QR-code that is telling that the person has certain rights to the system. That kind of system can use when some persons are giving special orders to robots. 

The thing is that if we think. That AI-controlled robot operates on the battlefield. Or at security missions. The robot must separate orders from the noise. There is the possibility. That in those areas robots are disturbed by using loudspeakers. By faked sounds like copied speech or speech images, there is possible that enemy operators are trying to turn robot attacks against their masters. 

The man-shaped robot is one of the things that is a very interesting tool. The robot itself is a multipurpose system. And the AI or operating system determines the things that robots can use. There is the possibility that cleaner or cargo robots have so-called "ghost protocol". That means that when a robot sees things like weapons it activates the protective model. Or if somebody is in danger, The sign that is given to the robot must be clear enough. 

There is an article below this text.  There is introduced how neuroscience is used to filter noise. From the orders which are given in purpose. But the thing is that there are many other ways to make the robot separate the noise or unauthorized commands from the commands that are given in purpose. And by people who have the authorization to give certain types of commands for robots. 

https://www.quantamagazine.org/ai-researchers-fight-noise-by-turning-to-biology-20211207/

Image 1)https://techbullion.com/machine-learning-market-profile-to-triumph-existing-processes-in-nearly-all-business-verticals-manifests-stupendous-growth/