Data centers cause worries.

The data center is the toolbox that can do anything. Data centers are systems that run invisible programs. Intelligence officials can use them as a gateway for cyber attacks. This means that the innocent-looking systems. They can run Trojan horses. And that is one of the threats. We must be concerned. In the world of espionage. Things that people tell are not important. Things that they don’t tell are even more important than people think. An innocent-looking data center. It can offer a platform for hackers. They can use it for their operations. 

A hacker operating from Russia. Can take a VPN connection to a Chinese data center. And then make the run. In this case, the Russian connection. It can be hidden by using the VPN. All data seems to come from the data center. And if the attackers. 

They are made virtual servers. That makes things seem like the data center owners have no connection with those attacks. The problem is that. Even if. We see that the attack comes from a certain country. We cannot be sure that the attacker is in that place. Remote use of the systems makes it possible to sit anywhere. I often mention countries like North Korea and Russia. Because. Those countries can act as a shield. Real hackers. They can sit in Beijing or even in Berlin or Stockholm. Signals that travel in the VPN network. They can travel many times around the world. There can be multiple remotely used servers. That act as a platform for attackers. 

Western hackers may cooperate with Beijing and Pyongyang. This means that the Chinese operators offer their AI tools to those actors. The North Koreans and Russians can act as a shield. That prevents investigators from connecting attacks with China. That makes it harder to close the socket. The model is this. Western hackers, ordinary criminals. They can use Chinese AI as hacking tools. Their contacts sometimes give them interesting targets. And they can copy data. That is handled by those AI’s to the Chinese servers. 

The problem with Chinese AI is similar to the problems with Chinese social media. Those services entice users with the promise that many things are possible there. Things that are prohibited on Western social media platforms. In the same way. Hackers are interested in Chinese AI. That AI might allow them to make things. That are not possible for Western AI. 

So, the AI that operates from China. It can cause data security problems. The Chinese authorities. They have access to all data on the net. This means. They can use social media platforms and AI as surveillance tools. And if Western hackers who want money use those Chinese tools for penetration. That causes very dangerous situations. The main goal of perfect intelligence work is to make somebody else steal things. 

When a Western hacker makes the run. The Chinese server. It can make a copy of the data. That is driven through it. Banking and financial institutions involve lots of interesting data. They involve information about the funding of certain laboratories. And that kind of data is always interesting. 

While hackers scan the system. 

A server would copy that data to authorities. The problem is that. This kind of use of AI and social media could be prohibited in the West. 

When we protect data, we face a very big problem. The problem is that. Our society runs on data. That data is important. It should make our lives better and safer. Our health data is always in use. When we are identified. Doctors know. What medical. And what blood they can give us. But at the same time, we face a problem. 

If. We don’t protect that data. That data. It is a weapon against us. The same data that saves our lives. It can kill us. If. somebody changes our medical information. That can cause a horrible situation. 

When we see a hacker. Who operates from North Korea. We don’t really know who that person is. And where that person really sits. The server. It can be in North Korea. But the actor can sit in the same house as we sit. There is a possibility that Chinese students. They can open Western email addresses. Those things are opened from Western countries. So they cannot be connected to Chinese authorities. Or Russians and North Koreans can act as middlemen. Those actors. They can also use narcotic addicts for those operations. This means that those people. Act for the bigger thing. Than they even realize. 

Hackers don’t need big things to access the system. Only one computer is enough. That computer can be hidden in some basement. Or it can be a small tabletop. That is on a table. The hacker must only get access to that building or space. And then the server. Or the “horse” is ready. This system has one purpose. Hide the hacker’s own IP address. Powerful systems with LLMs. They can automate the attack. The hacker must only find the AI that allows the attack. And that is the reason. Why some AIs cause more problems than Google. 

The AI requires a kill switch.

When OpenAI’s language model escaped from its test environment. The U.S. lawmakers woke up to demand a “kill switch” for LLMs. This kill switch is meant to fight against the threat. Somebody uses the AI agents to spy on the U.S. and its allies. The situation is simple. The hostile actor will use it. The U.S. made AI to spy on the U.S. government. And that means a hostile actor can turn its own AI against its creators. The problem with AI limitations is this. 

The limits against U.S. made AIs. They can be circumvented by using Chinese AI. When we read stories about how the AI can be used as hacking tools. We forget that somebody can follow those news. And use them as a guide to select the AI. That fits for cyber attacks. 

And in the worst case. That AI can, of course, make work easier. But at the same time, that AI can make a copy of that data. This means that the use of AI requires some rules. At the same time, the use of AI expands. But those rules must be universal. The problem is that. Everybody doesn’t follow the law. And AI is an ultimate tool for hacking and cyber operations. 

And things like network management. And vulnerability check tools. They are perfect tools for hackers. This is why those scanners should report those vulnerabilities to some independent actors. If only one actor knows that vulnerability. That thing can be used to exploit those vulnerabilities for hacking operations. The problem is that. The maker of the system. They must fix those vulnerabilities in a very short time. And if system makers don’t know them. That means they cannot make those fixes. Fixing those problems. It requires knowledge that they exist. 

We read stories of AI. We will find how those models failed. And that means those models seem useless. And that is the problem. We underestimate AI. We underestimate its capacity because its grammar is not good. The AI and morphing neural networks. They are next-generation tools for spying and espionage. AI-controlled. Morphing neural networks. They can perform many actions at the same time. In those networks, the AI-based network control forms a layer. 

That shares resources between workstations and their applications. All applications don’t need the same resources. When. A person locks the screen. The computer doesn’t need all its resources. With an intelligent network architecture, the AI can guide those resources to other applications until the user returns. The Trojan horse. That can control the network. It can also form an attack layer in the network. The innocent network. A network that is not handling important data can be used as a Trojan horse. This means that a small Trojan horse forms the bigger Trojan horse. 

First, malware software. Opens a gate to the system. Then the AI creates the attacking layer. Hacker or hackers. They can use that stealth layer as an attacking platform. In this case, those hackers can ride the innocent-looking system. They turn an innocent network into a Trojan horse. The attackers can train their AI agents to operate in the network. That has no connection with them. The AI agent. It can operate independently. 

And that makes it difficult to track those hackers. An AI agent can download data to that Trojan horse network. And then hackers can download data from the server to their own network. In this case, those servers. They can have two IPs. And when the download is done. The server can remove the other IP. Or the hackers. They can use portable hard disks and USB sticks. 

If hackers. They have access to the server room. They can put that data storage in their pocket and walk away. 

In the worst case, the server is connected to the network; there it copies all data into those systems. The morphing ability means the network can share and limit its resources. Between many applications. At the same time. In this kind of environment, the attacking AI. It can operate backstage. That kind of “Evil LLM”. It makes it possible to use other networks to attack other environments. This means that the “trojan horse” creates a network that can run AI invisibly. These kinds of attack tools can cause very big problems. The answer is not to deny the use of AI. The answer is not to repeat how bad the AI is. 

Those cases form situations that make the situation even worse than it is. We know that AI exists. We must accept that thing. If. We don't use AI openly. And develop it openly. That means somebody does. And that somebody might have different morals and ethics than we have. We should encourage people to report cases. If. Somebody suggests. Hacking sessions. Or other illegal actions in the field of AI. Those actions could be open access to the AI agents for Russians or North Korean citizens. Or weird questions. 

https://www.bbc.com/news/articles/cx2vqj2e9x8o

https://futurism.com/artificial-intelligence/open-source-ai-model-scary-mythos

Basics of thermodynamic processors.

Thermodynamic binary computers use two states: one and zero (1,0). 

Like a regular computer. The biggest differences. Between regular and thermodynamic computers. It is Thermodynamic computers. They use natural electromagnetic noise for computing. Those systems. They could bring quantum computers to our desks. 

Thermodynamic computer model. It could be two windmills. Those two windmills are one and two in the binary system. While the windmill. One spins. It sends one. And when windmill two spins, it sends zero. We could try. To break those windmills when we want to send one or zero. We could pull them down. If. We want to use another windmill to send another number. One or zero.  And those things require energy. 

In this case. We want to control the transmitter. But if we want to control the data flow. Everything becomes easier. We could use a switch that connects and disconnects those windmills. If. The system sends one. We separate the zero windmill from the line. And when the system sends one, we separate the line that sends zero from the main line. 

Thermodynamic computers could be the next step for computing. Traditional computers try to eliminate electromagnetic noise. Thermodynamic computers. They benefit from the natural electromagnetic noise. 

In this case. The computer uses electromagnetic noise as a signal carrier. The system acts similarly. Like a person yells into a tailwind. The natural wave carries information. The only problem is how to make the binary system separate one and zero. 

This decreases the energy use of that system. The natural electromagnetic wave acts as a carrier wave. That wave acts as a carrier that transports information. But this is only one of the models of thermodynamic computers. Another version is to create a photonic computer that uses natural light. The model is like this. The electromagnetic radiation is like wind. 

The light travels in a tube. And the brightness determines how the photovoltaic cells and their computers read that signal. Dimmer light means zero, and brighter means one.  The lightweight version is that those systems use a dimmer. There, the system dims the light route by using a dimmer. When it needs to transmit zero. The dimmer is turned off. The system transmits one.  

There is a possibility. To transform those routes into energy flows by using two flaps. Infrared. Or visible light travels in the channel. The system closes the route when it must send one. Which. Means zero. And when the system sends zero. It closes the route that sends one. This wild vision could also work by using natural light and two tubes. There. The system can close the route from a number that is not sent. 

Another model is like a mechanical computer that uses water flow. There are two layers; the system conducts water. The first layer is one, and the second layer is zero. A mark itself. It can require brackets. That tells when the next mark begins. This is important for cases. There, the system must send two zeros or two ones in a row. Those brackets. They are not important for the paper. But in digital transmission, the system must know. If. There are two zeros in a row. 

There are multiple versions of that mechanical water computer. The system can use two routes. Route one. It is one, and route 2 is zero. When the first layer moves, it can write a line on the paper. And the second one writes a point. This helps to detect which mark is one. And which is zero. This is a model. We could replace that paper with laser beams. Or we can replace those channels by using different information carriers. 

The third thing that the system must know is this. When. the system is shutting down. The system must get a warning. The answer could be the digital button. That button activates the program. That activates the switch-off routine.  

https://www.quantamagazine.org/thermodynamic-computers-go-with-the-energy-flow-20260715/

Cyber warfare is a new dimension in warfare.

Above: Su-57. 

Did Ukrainian cyber warriors cause the crash of the Su-57? 

Russian stealth interceptor, the Su-57, crashed near Moscow. There is suspicion that a Ukrainian cyber attack caused the destruction. In some rumors, the Ukrainian “keyboard killers” programmed some of the AA systems to shoot down the Su-57. There were no missile launches in Moscow at that time. This means that some hijacked gun systems are targeting that aircraft. One possibility is that some hijacked anti-drone systems attacked that fighter. But when we think about the possible points. There, the cyber attacks can be targeted. We might see many possibilities. The next four possibilities. They are the first. That came to my mind. 

1) Some automatic gun systems shot that aircraft down. 

2) Because the IFF is switched off. 

3) Or the IFF database was erased from fire control computers. That makes the system treat all targets as enemy. 

4) The “keyboard killers” switch off the HOTAS and FBW (fly-by-wire) control. Or format the flight control computers. 

There are many automated systems. And if the cyber attacker can hijack those systems. The result can be devastating. If. The hacker switches the fuel that is meant for the aircraft to regular gasoline. That can cause destruction. This means that the hackers. They can cause very large-scale destruction. 

Cyberwarfare is the next dimension in warfare. Those attacks can cause large-scale damage at a minimum cost. The operator can shut down radars and communication tools in a critical moment. Or a cyber spy can search for critical information about enemy plans. Here we must realize. That cyber warriors are part of the military. They operate along with other intelligence, reconnaissance, and attack teams. Even if. We say. That things like missile control systems are safe. Those targets are still “worth a try”. If the missile fire control and flight control database is erased. That can make the aircraft and all other targets vulnerable. 

Sting interceptor (Wikipedia) 

Worst-case scenario. Hackers can theoretically jam nuclear weapons. 

There is also little possibility. Some hackers can deny the launch of nuclear missiles. By changing those launch codes in certain databases. That makes. The real launch codes. Unable to work. But in the worst-case scenario. The hacker has access to the database. And fire control. 

That makes it possible to make even.  An unauthorized launch. The latter happens by switching the information in the computers that host those databases. If. A hacker can switch those codes. That gives the possibility for an unauthorized use of fire control systems. The hacker can switch code in the database. And then input it into the fire control. Or the hacker can switch the transmitter frequency. That denies the launch of the missiles. 

And then the anti-drone drone hired in the Moscow region. It could also destroy the patrolling Su-57. 

But there are many other ways to destroy those jet fighters. One of them is the anti-drone system. It waits for the target near the airfield. The small-sized drone has a speed of about 300 km/h. It can wait anywhere. When. The operator or AI sees the slowly flying jet fighter. The drone can attack that target. The high-tech stealth fighter is vulnerable to shell damage. And if the aircraft searches for drones. This kind of drone. It can hide anywhere. 

The controller needs only an internet connection to control the remote control station. Those small drones are dangerous because they can hide almost anywhere. They can fly near airfields. And sit there. Those small drones can also be equipped with HEAT or side mine-type warheads. The latter sends a melted metal beam to the target. That metal beam is dangerous even for main battle tanks. There are also hybrid HEAT warheads. These send metal balls in their hypersonic jet to the target. This boosts the warhead power. 

https://en.defence-ua.com/news/how_ukrainian_cyber_operation_may_have_led_to_downing_of_russian_su_57_near_moscow-19248.html

https://english.nv.ua/nation/su-57-crashes-in-moscow-oblast-media-report-possible-cause-of-crash-50626803.html

https://www.msn.com/en-us/news/world/pro-ukraine-group-claims-it-helped-hack-russian-drone-air-defence-system-shooting-down-su-57/ar-AA28F2Or?ocid=BingNewsSerp

https://en.wikipedia.org/wiki/Fly-by-wire

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

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

The new 3D structure can be a breakthrough in thermal control and stealth technology.

The new 3D material can act as a thermal cloak. For high-thermal materials. Those materials can transfer heat into that new material. Then that thing can transfer thermal energy into structures. That transports it away. This thing can control temperatures in high-temperature materials, such as those used in hypersonic flight. The material can dump its energy into that new structure. So, it can open a path to higher speed. That new material can also act as a fire shield for the structures. And that makes it possible to create the systems. That can resist higher temperatures than before. But that material. It can be even more fundamental than researchers even thought.  

The energy cloak. It can transfer heat energy from laser beams and other directed energy weapons. 

Into the wanted direction. This makes it possible to use materials that absorb more thermal energy than other materials. The “absolute black” materials have one problem. They must dump their heat energy somewhere. The absolute black materials with minimum reflection could deny the use of laser pointers to point rockets at stealth structures. The absolute black material that absorbs all light has a problem. Without. An energy cloak. That material will melt. And a new 3D energy cloak. It can be an answer for that problem. 

In stealth technology, this material. It can be the new fundamental advance. When. We think about RAM (Radiation-Absorbent Material). Those highly advanced materials transform radio waves into thermal energy. And if that thermal energy. It can be sucked away. That system can make stealth technology more effective. The problem with RAM materials. It is this. Those materials. They will take heat from radio waves. Sooner or later, that can turn dangerous. If an aircraft travels near its material’s heat limit. 

The small boost in temperature. It can turn dangerous. The material can turn too weak. Or. It can start to turn the aircraft. Into. The object. That is an easy target for the IR-seeking missiles. Aircraft like the B-2 and B-24 Raider. Their form makes radio waves slide over the structure. Those aircraft have a structure that divides the radiation. The problem is that. Those structures are very vulnerable. If something hits them. And. Changes their shape. 

“U. of I. engineers introduce a 3D-printed, hybrid aluminum-and-rubber cloaking device that blocks an object’s thermal signature by guiding heat around it, rendering it invisible to infrared cameras. Credit: Shelly Zhang/MISSION LAB” (ScitechDaily, Scientists Build the First 3D Cloak That Makes Objects Invisible To Heat)

So, if a B-2 is detected. By an enemy fighter. That fighter. It can try to attack the B-2 by using cannons or laser-guided rockets. Those rockets. They can at least damage the stealth shell. By. Using a combination of the RAM materials and the shape of the plane. The plane will become more stealthy. There is a small vulnerability in the aircraft. It uses only the shape-based systems. The problem is the scattering effect. The radar satellite searches for stealth aircraft. It can see the scattering from above against the ground. The RAM material turns the aircraft into a shadow that travels over the ground. The radar can see the aircraft as a point. There is no reflection from the ground. But the scattering effect is more dangerous. 

Some non-stealth aircraft can find stealth aircraft. Using AI-controlled camera systems. That system uses IR, UV, and visible light. The Su-35 could find the B-2 and use laser-guided rockets and cannons to destroy its stealth structures. Another system. It could use an AI-based image recognition system. 

If. The enemy has an image of that aircraft. That kind of system. They can detect the target and shoot it down. The system could use similar algorithms. That are used in GSM image recognition.

That means the stealth bomber is invisible. Only. If its stealth structures are not damaged. The combination of the RAM materials and stealth shape. can decrease the ability to detect those aircraft. But as I wrote earlier. The new thermal cloak could protect aircraft and satellites against things like laser weapons. The energy cloak transfers the thermal energy from the structures. And that makes the stealth aircraft less vulnerable to laser beams. 

https://scitechdaily.com/scientists-build-the-first-3d-cloak-that-makes-objects-invisible-to-heat/

https://en.wikipedia.org/wiki/Radiation-absorbent_material

New micro-drones can revolutionize everything.

“Chen’s group has been building robotic insects for more than five years. Credit: Courtesy of the Soft and Micro Robotics Laboratory.” (ScitechDaily, MIT’s Tiny Flying Robot Just Learned To Move Like a Real Insect)

New MIT microdrones move like insects. They are about the size of a sugar bite. And as large as larger drones. Those systems can form a neural network.  This means those drones can act as swarms. The hivemind technology allows them to create independently operating drone swarms. Those drones. They can use laser-LEDs to communicate. And that kind of optical communication. It’s the tool that allows them to deny the ECM systems. 

The operator can use LiDAR-based technology to transmit information into the drone swarm. Those small insect-drones. They can search for people in rescue missions.  They can also assist SWAT and special forces teams. And people like military intelligence. They can use those drones in their own missions. Those drones can act as eavesdropping tools. But intelligent technology makes them very hard to detect.  The miniature drone can observe network communication. 

The problem with this kind of system is simple. The drone can transmit data to a relay drone by using laser beams. That means the drone is invisible to radio-wave detectors. 

“A time-lapse photo shows a flying microrobot performing a flip. Credit: Courtesy of the Soft and Micro Robotics Laboratory” (ScitechDaily, MIT’s Tiny Flying Robot Just Learned To Move Like a Real Insect)

“Now, with our bio-inspired control framework, the flight performance of our robot is comparable to insects in terms of speed, acceleration, and the pitching angle,” says Kevin Chen. Credit: Courtesy of the Soft and Micro Robotics Laboratory. “(ScitechDaily, MIT’s Tiny Flying Robot Just Learned To Move Like a Real Insect)

The Ingenuity Mars-helicopter

There are two films. The film below. It’s 11 years old. That means that those systems already exist. The upper film introduces hor recon and attack drones. They can wait in boxes. And when they see a target or suspected target. They can react immediately. 

If the system. It uses UV lasers to communicate. That system is also invisible to IR detectors. The system. That is used in that kind of operation. It can see everything. That happens on the screens. 

The main problem with intelligent eavesdropping and surveillance tools is that. The reconnaissance plane or some other system. It can activate the transmitter by using radio signals. So, normally those systems just record information. When they are outside. The system gets a signal to send a so-called data burst. This means that. If those systems are hidden in somebody’s briefcase or clothes. 

The detectors and Faraday cages are helpless against those systems. When a person is in a secure space. The system just records data. But when a person steps out of the building. The surveillance operator can give an order to send data. 

A small-sized drone. It can also mark positions for smart bombs. Those drones can use an advanced power supply. Bigger drones. They can act as loading stations for those small drones. They can use wireless battery charging. Developed for mobile telephones. They can also use the same batteries that were developed for pacemakers. And those kinds of drones. They can fly at very high altitudes. So we can think of the cigarette-box-sized drone that uses the same technology as the Ingenuity helicopter. That operated. In Mars’s atmosphere. 

Microdrones can operate. Along with bigger drones. The combat drones. They can form similar teams. To Ingenuity and Curiosity. The bigger drones and rovers. They can be the ultimate team. Microdrones can also  act as advanced elimination systems. The drone can carry stun grenades or some deadly detonators. The system. It can cut wires and damage surveillance cameras.  They can also cause critical damage to electronic systems. And mark the enemy positions. But those systems are the ultimate elimination systems. 

Microdrones. They can slip into houses and then search their targets. The  microdrone can use its ammunition to eliminate targets. They can be delivered from helicopters, aircraft, and even from satellites and ballistic missiles. The AI-based systems enable them to find targets with pinpoint accuracy. If those systems. They have an image of the target. They can land in the area. And when they detect their target. Those drones activate their attack mode. 

https://scitechdaily.com/mits-tiny-flying-robot-just-learned-to-move-like-a-real-insect/

https://scitechupdates.com/nasas-ingenuity-helicopter-dropped-on-mars-surface-ahead-of-flight/

https://en.wikipedia.org/wiki/Ingenuity_(helicopter)

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

Can AI reach human intelligence?

“A leading computer scientist says AI may never reach human-level intelligence because it cannot acquire the tacit knowledge that underlies common sense, intuition, and culture. He argues that this limitation could make advanced AI both fundamentally different from humans and difficult to align with human goals. Credit: Shutterstock (ScitechDaily, Why AI May Never Reach Human Intelligence)

“A new analysis argues that AI may never truly think like humans because the most important parts of human intelligence cannot be programmed into machines.” (ScitechDaily, Why AI May Never Reach Human Intelligence)

The biggest difference between AI and human intelligence is this. AI simply collects and connects information. Human intelligence is deeper. There are more connections with data than AI. Human intelligence. It is connected with culture, intuition, and social behavior. 

Can AI reach human intelligence? That is a good question. The second big, and maybe interesting, question is this: do we want a computer that is as intelligent as we are? But before we start thinking about AI. And its intelligence level. We must understand that there are no humans. Who can do everything. Every single person has limits. And even if we are the greatest mathematicians or engineers. We might not be the best chefs in the world. This means that it might be impossible. To create AI that makes everything. We have different professions and different work. When we want to build a house. We call the construction worker.

And then we need an electrician and a plumber. Those three people could theoretically make a house. But here we see that in those everyday projects. We need three different people. So here is the thing. That we must realize. What one individual person can do is more limited than the skills of the entire human race. We can create AI that does everything.  

That humans can as a species. But that kind of AGI (Artificial General Intelligence) requires that the entire human population will be put in singularity with the AI. The AGI is the system. There is the central AI. That central AI shares missions with AI agents. And each AI agent is a tool that has specific functions. This makes it possible to create modular AI that can connect. New skills. Into it. This thing. Is the main element of the AI. 

When we think of thinking. That means the ability to connect data from different sources. We can say that the AI. It's like a savant. It can have a very good knowledge of things in a thin sector. In a thin sector. AI can beat humans. But other things, outside that real thin focus. They are far below average. This means that in certain areas. The AI. It can be better than humans. But those skills are more limited than humans'. The AI's ability to process. Preprocessed and sorted data is incredible. But otherwise, AI has its limits. 

But then we must ask one thing. Do we require too much from the AI? AI is not like a human. It has imagination. That is based on data. It can get and connect data. The simulation is based on natural laws. And data that is stored in the AI's memory. So, AI cannot imagine things like Superman. Who flies faster than light. Humans don’t fly. Except if they have an airplane. But the AI’s imagination is more limited than human imagination. So the AI cannot think abstractly. It can simulate things. But it cannot create abstraction. All AI’s imagination. It happens by connecting data from databases. 

The worst case is ot system. That makes errors. The worst case is the system. That believes that it's right. Even if the answer is wrong. The ability to operate without errors doesn’t make anything intelligent. Intelligence is how the system detects and fixes its mistakes. Same way. As a professional electrician. Is not a person who doesn’t make mistakes. The professional detects and fixes mistakes faster than a non-professional. 

The big thing is that. AI can connect information from different sources. But AI doesn’t think. This makes AI a problematic thing. If some hacker breaks into the AI’s database. And puts the data that Superman is real into that database. The AI thinks that Superman is real. The AI can double-check all data that is loaded into it during the training period. That happens by using two or three sources. Or, simply by asking the trainer. But when data is checked. And it's in a trusted database. That. Can mean. That the system will not make a new check. And that makes it possible that the data that the system uses is corrupted. Same way. If the trainer makes a wrong decision. That can turn fact into fiction. And fiction into fact. 

So. Is AI smarter than we are? The fact is this. AI can be a better chess player. Than humans. The AI can mimic humans. It can give impressive answers. But the fact is this. All those answers that AI gives. They are formed when the AI connects information. The difference between AI and human brains is that every neuron is like a miniature brain. When AI drives information through the system. There is no need to analyze data that travels in the AI. In natural brains. The brain can analyze data. It can make that analysis. When information. It travels between neurons. That makes error detection easier. 

When data travels through a computer. The system. It makes error detection easier. But only. When the information travels through the entire system. Then the error detector. Makes all calculations backward. So, it drives information in the opposite direction. If the value after that process. Is the same. As  the starting value. The calculation should be right. If. human brains make that thing. Every process in the brain takes a very long time. But. Because brains can make. error detection before the end of the process. And without stopping the main cycle. That can make them more effective. 

https://scitechdaily.com/why-ai-may-never-reach-human-intelligence/