The threat of nuclear terrorism.

 The threat of nuclear terrorism. 

The hackers attacked Israel by using the Red Alert warning application as a platform. They claimed that Israel was under nuclear threat. Nuclear terrorism is one of the most frightening things. The problem is that nuclear technology falls in the hands of those who don't care or don't have the skills to protect those platforms. 

We should concerned about nuclear terrorism and the escalation of nuclear weapons because of Burkina Faso and Russian atomic cooperation. Also, Iranian military aid to Russia in the Ukrainian war causes the question of whether Iran wants nuclear weapon technology as a counter-gift. 

Those hackers created the fake message that Israel was under a nuclear terrorist threat. Those kinds of messages are serious things. Even if they are meant for trolls. 

But does the threat of nuclear terror rise? When we think about the situations where Russians sell nuclear power plants to Burkina Faso, that can mean that people like Hamas are closer to getting nuclear material in their hands. The African nations with ultimate corruption might outsource those power plants' security to foreign mercenaries like Wagner PMC if they cannot protect those systems themselves. 

Nuclear waste is dangerous, and all dangerous things are dangerous in the hands of terrorists. The problem is that some countries don't have the will or even skills to protect the nuclear power plants. And if the protector is some Wagner PMC, that opens mercenaries the road to the nuclear material. 

 All kinds of radioactive nuclear material are useful for radiological weapons. But when we think about the nuclear weapons things like corruption are good tools that allow evil to get the most evil weapons into their hands. Corrupted officers and nuclear officials can sell nuclear weapons to other nations, and if those nations are even more corrupted.

The corruption and fall of the governments cause risk that people who should guard nuclear facilities just slip off their positions. And then the nuclear material will turn unattended. 

We should be concerned about things like Iranian weapons aid to Russia. Iran will not give those drones for free. And the question is, what Iran wants from Russia? And one thing is the technology that is needed for nuclear weapons. So maybe they want to hire Russian nuclear specialists, who can advise on how to make things like hydrogen bombs. The problem with the Iranian government is radical Islam. And there are fanatic and lunatic people who might think that if they sell a couple of nuclear bombs to Hamas they act as a member of Islamic Jihad and help Israeli enemies to destroy that country. 

That means those nuclear weapons can go into the hands of terror. When the Soviet Union collapsed some officers were willing to sell nuclear weapons to private contractors. And lucky thing was that those people were undercover policemen who hunted drug dealers. But people were really lucky in that case. And the threat in Putin's fall is that the situation in the Soviet fall repeats. In that case, there is the possibility that nuclear warheads will ship to Africa accidentally. 

https://www.bbc.com/news/world-africa-67098444

https://www.bitdefender.com/blog/hotforsecurity/hacktivists-send-fake-nuclear-attack-warning-via-israeli-red-alert-app/

When robots are laughing and crying.

When robots are laughing and crying. 

Does the AI have feelings? 

Does the AI have feelings? Or can it be emphatic? The fact is this program code that controls the AI determines if it can give empathic reactions. The problem with the human nervous system is that we don't make a difference in the writing of empathic letters or telling empathic stories human or AI. Our nervous system is not adapted to AI yet. And that's why we cannot separate text written by AI from text that made by humans. 

What does somebody make with AI that can emulate feelings? The fact is that the cyborgs are useful tools for infiltration operations. The human-size robots can have WLAN/6G connections with the central computers. Or they can form a neural network that shares information between all group members. The robots can also act as walking neural network-based supercomputers. That can make complicated solutions. 

In those networks, each member shares information and their data-handling capacity all over the network, and robots can search the internet using two ways. The robot can use traditional computers and read text from the screens. Or it can connect itself to the net by using wireless communication tools. 

When the robot communicates, it must only have access to an AI-based chatbot. The robot can use that thing as a remote. In some interfaces is a speech-to-text application that transfers spoken language to AI-based chatbots. The problem with robot groups is that when one individual robot gets some data, that data will escalate all over the group. 

 The robot's communication is an AI-based chatbot. That connected with the physical robot. 

Artificial intelligence makes many things. But do they have feelings? The fact is that the AI can imitate people. It can search data from the network, like how people react to disappointments. Then the AI can search the allowed reactions to things that people should feel. The database that AI has determines its reaction. The database can determine categories where certain phrases belong, and then it can react to those things using socially accepted words. 

The AI can see if a person is crying, and then it can ask what the problem is. And if AI hears that somebody has a baby, it might say congratulations. The AI is not human. Humans determine all their reactions. So that thing makes the AI a little bit like a psychopath. If some reaction is programmed in it, that thing means the AI makes that thing. 

The AI will have no conscience like humans. Only rules. That this kind of system follows is coded in its program code. And that's why the military is interested in this kind of system. In some visions, the human-looking, explosive in its body walks into the command center and detonates itself. This kind of system is the most dangerous tool that humans ever created.

 It means we think that anti-crime AI tries to slip into the criminal organization. It can tell fairy tales about dead brothers. We know that this things are difficult for most of us, but the AI has no feelings. The AI always makes what its master users want. And that is the thing, that makes it dangerous. 

The AI that can emulate feelings can ask for money from people. But it also can slip malicious software to companies. And that thing makes this kind of application a very dangerous tool if they are in the wrong hands. 

But criminals also can benefit the AI that has feelings. The AI can send Emails to people. And play somebody who is in trouble. Then the AI can ask for money from the victims. But that is one of the smallest problems with this kind of thing. The AI can send computer viruses or so-called malicious software in that message. 

https://scitechdaily.com/ai-empathy-is-it-technology-or-just-our-perceptions/

What comes after Chat GPT?

 What comes after Chat GPT? 

The ICT business is hectic. This operating area requires a willingness to learn new things over an entire career. ICT lessons and training are things that teach people to search for information. The situation in the ICT business is always like this: Things that students learn can be old-fashioned in one month. 

The last big advance was the GUI (Graphical User Interface). And that thing took jobs from the bat. programmers. The next big thing is the AI. First came the Chat GPT which can make computer programs by following instructions. That controller gives. And the next big thing was that the AI integrated with the search engines. 

AI is a useful tool, especially in programming. Data that it requires are well documented and short in the form that the AI can use without problems. The AI can make complicated computer programs by collecting data from the internet. And that thing makes it superior to human programmers. The Chat GPT is a programming tool that can search other data from the net. That computer program is the biggest change in the history of computing. 

The Chat GPT is not a thinking creature. It's a next-generation tool that can make computer programs by following instructions. But, when Chat GPT makes something, it just connects some databases to new entities. So creative AI has no imagination at all. When people want to give orders to AI to make something, the orders must be precise and clear. If orders are not clear the AI can make mistakes. And that's why we cannot yet say "goodbye" to programmers. 

Chat GPT is an extremely advanced programming editor that can follow orders. The user gives by using spoken language. That means the user must not know anything about programming languages. But if we want to make something like a business letter by using AI, we must be careful, because there is always a possibility that the AI uses "non-relevant" sources. And that's why people must follow what that system makes. 

The nanomachines require small and powerful microprocessors. And it's possible. That is the next field for the AI. Is to control and develop the nanomachines. 

But when we think about the next-generation solutions that can supplant the Chat GPT, one thing, that we can mention is the "iron AI". The term means the same with embedded AI. In that case, the AI uses living neurons, or the microchip's kernel is equipped with the AI. Embedded AI that is installed straight in microchips can make it possible to control nanomachines. 

The nanomachines require small and powerful systems that can control nanorobots with extremely high accuracy. The thing is that the nanorobot requires similar computer power as regular-size robots. And that makes it hard to make this kind of solution. The small size of nanomachines creates limitations for the data handling capacity of that system. The swarm of those tiny machines can clean the human body. 

The AI can probably help us to understand animals better.

  The AI can probably help us to understand animals better.

The AI can probably help us to understand animals better. And the AI also can read and understand the animal language. The idea of this kind of behavioral research is always similar. The AI collects a dataset that involves things like animal sounds. Then those sounds will play to other similar animals, and the AI follows the reactions. Then AI connects certain voices with certain actions. 

The AI-based communication system can order animals very easily. The system must only know what signals predict certain actions. When a system operator wants the animals to make something, that person must only play the record that launches certain behaviors. 

That allows it to control animals by using their voices. The AI must record voices or sounds that the animals use as communication in ultra- and infrasound areas. The system can also use holograms so that those animals can see all things that activate certain behaviors. 

But if we think about things like squids. That communicates with colors the AI must just take images of squids and then compile certain colors with certain interactions between those squids. If we think about animals that communicate other than using sound, the AI can create holograms where those animals will communicate. And if the AI knows what reaction happens after a certain mark, the AI can control those animal's behavior. 

The AI makes aviation safer.

  The AI makes aviation safer. 

MIT created the AI that follows the pilot's behavior. That kind of AI is a so-called technical copilot, whose mission is to assist the pilot. Developers are making similar systems to cars and other transportation tools. The equipment to which AI has access determines its abilities. And the AI copilot is the tool, that can correct the errors that humans make. 

Many crashes happened actually after some other dangerous situation. When pilots first survive some close-call situation, they simply forget to make some routine maneuvers or release the landing gear. In the car, people can stop it and breathe. But in the air, the aircraft continues its flying after those situations. 

And in some other cases human error, like misunderstanding who should fly the aircraft while landing causes an accident. Or the communication between the copilot and captain somehow is misunderstood. 

"With Air-Guardian, a computer program can track where a human pilot is looking (using eye-tracking technology), so it can better understand what the pilot is focusing on. This helps the computer make better decisions that are in line with what the pilot is doing or intending to do. Credit: Alex Shipps/MIT CSAIL via Midjourney" (ScitechDaily.com/MIT’s “Air-Guardian” – AI Copilot Enhances Human Precision for Safer Skies)

In some close-call situations, pilots simply made mistakes and landed aircraft on the wrong airfields or runways. To avoid that kind of situation the airfield or runway must equipped with a communication system that uses laser or coherent radio communication that tells the aircraft the runway that it approaches. 

And then the copilot just pushes the stick, and the captain pulls it. Those situations could avoided by using a system that tells if the pilot and copilot are making opposite movements with control systems. The AI can have the ability to land aircraft at the airfield. If the pilot is unable to operate. 

You can search YouTube by using the words "wrong runway". There is a list of cases where aircraft landed on the wrong runway or wrong airport. It's possible to avoid this kind of case if there is a system that tells what runway the aircraft approaches.  

In some other cases, somebody mistakenly sends two aircraft to the same runway at the same time. And it's possible to avoid those situations by using a system that tells if there is another aircraft on the way to the runway. 

The system requires that all aircraft and flight control just communicate with each other. And then the automatized system just orders to slow rolling speed and wait until the runway is clear. The system requires that all aircraft know the real runway that they approach or roll and share that information with others. 

The need to create a system that can take control of aircraft during hijacking was seen in the 2001 terror strikes where hijackers flew passenger planes towards the WTC building.  If the aircraft is out of course, and doesn't follow flight plans there must be some other way to take control of the aircraft, than just shooting aircraft down. 

The AI must recognize if there is somebody else on the pilot's chair than the pilot. In the case, that the hijacking happens. The automatic system must just fly aircraft to the airfield and call law enforcement to take control of the situation. 

The automatized, AI-controlled autopilots can make biztalk with the airfield when the aircraft is closing. Then the airfield gives the values like closing angle and speed that the aircraft must follow. Same way. Things like wind direction and other important things, like cloud altitude, will sent to the aircraft. 

https://scitechdaily.com/mits-air-guardian-ai-copilot-enhances-human-precision-for-safer-skies/

The networked Internet connects the world.

 The networked Internet connects the world. 

The networked Internet makes it possible to get and analyze information with enormous speed. When we put something into the net, that's hard to remove. And that is the blessing and curse of that international network. The Internet transmits only information. Information is a virtual tool. 

The data system can multiply data into billions of computers. Information, that robots and other systems get are the tools required. The information that the robot gets acts as a trigger. And that trigger launches some reaction that depends on what is stored in the system's memory blocks. 

The information is a tool that controls the machines and other things connected to the Internet. The fact is that nothing is connected to the net. The net is the only platform that connects physical computers under one banner. The net is the thing that interconnects servers together. That makes it possible to create the cloud. 

The cloud means a virtual supercomputer that interacts similar way as one monolithic supercomputer. The difference between a monolithic structure and cloud-based multi-core architecture is that there is no limit to the size of the cloud. Theoretically, we can connect an unlimited number of workstations to the cloud-based computer or server. 

The cloud could be a complicated structure that involves billions of subnetworks. When the outside or upper-level server sees some IP address there could be a group of networks behind that IP address. The user can use that kind of system as they are one solid monolithic computer. 

The cloud doesn't know what kind of information is stored in it. Certain parameters make the cloud detect malicious software. Those parameters can be in a firewall. And they detect the harmful code from data that travels in the network. 

The AI-based chatbots use cloud architecture to find answers. Those chatbots are problematic because they don't understand what they say. They just collect information from multiple sources. Then those systems interconnect that data to the answer. And in that process, they just check the grammar before the answer is sent to the user. 

Sometimes some network marketers make a redirect page, there is only one world. If the search engine indexes homepages using the number of clicks, those redirect pages can increase their PageRank. 

The problem with the Internet and search engine indexes is that the new homepages that are not yet indexed or got clicks are hard to find. Before a certain number of clicks, new homepages do not get their place under the sun. People will not have time or willingness to search even thousands of homepages. 

Those redirect pages involve very common search words. That increases their position in the search index. And if those redirect homepages involve a command that relinks the user automatically to a certain homepage, they can raise the PageRank of that homepage. And that can make the AI give the wrong answers. 

When the algorithms select the homepages, they could simply calculate how many percent of the words involved in the search are in the homepages. That the AI uses for generating answers. 

The AI might have a list of things, like articles and common verbs¨, that help it detect the core elements from queries. If some homepage involves 100 % certain repeating worlds, that makes the AI suspect that the purpose is to raise itself or some other homepage's PageRank.  One purpose for that is to raise the PageRank. If the AI uses PageRank to index things that it uses that kind of redirect page can cause catastrophic to answers that the AI gives. 

That makes it possible for the algorithm can detect if the homepage is a hoax. The easiest way to do that is simply to detect things like there is only one repeating world on the homepage. And that thing is the easiest way to detect the easiest hoax homepages. 

Russia shot down one of its Su-35S fighter-bombers.

  Russia shot down one of its Su-35S fighter-bombers. 

Human error, or somebody who might jam the jet fighter's IFF (Identification Friend or Foe) system, can cause this kind of episode. So if we talk about human errors, we should ask what caused those errors. Or maybe someone forgot to drive the IFF codes to the computers that control the AA systems. 

The jammer systems that deny the IFF system to transmit their codes to AA radars can cause situations where their air defense shoots aircraft down. Modern jet fighters and attack aircraft have only a couple of minutes or seconds to react when they see unknown, maybe hostile aircraft. If the aircraft comes closer to the headquarters would be an enemy attack aircraft, like the Ukrainian MiG-29 armed with "Storm Shadow" missiles, that aircraft could destroy the headquarters. 

One version of how to break the stealth technology is to use the IFF systems as the target.  AA crew can aim antiradiation missiles at the IFF system. Those radio transmitters are one vulnerability in stealth aircraft. 

The IFF system is a problematic part of the aircraft. The radio signal, that the IFF system sends makes aircraft vulnerable against the radar-homing missiles. Jammer systems that send radio signals to deny radar- or radio communication are vulnerable against antiradiation missiles. This means there are always new systems under development. 

Electronic warfare is becoming more important in modern battlefields. The drone systems require communication. And if the system can jam GPS and data communication. That makes it harder to use drones and communicate with troops. Also, jammers can deny the drone swarms internal communication. The jammer systems can be the target for HARM-type missiles created to destroy ECM systems and other radio transmitters. 

The stealth is the ultimate tool. But the next generation of radars and surveillance systems are hacking the stealth. The CCD cameras and lidar systems are making old-fashioned stealth useless. Same way next-generation AA radars might use pressure waves and other non-direct observation methods to uncover the stealth. The pressure waves around the aircraft are possible to detect by using AI-controlled systems that connect the data from multiple sources. 

And the weapon development is the race between the ultimate attacker and ultimate defender. The next-generation IFF systems might also use AI-based radar systems. The radar sends the identification request to the IFF system that answers that request. Then the AI starts to follow the aircraft that closes the IFF. And if it loses the target it can ask for identification again. That thing minimizes the need to send radio signals all the time. That helps stealth planes to complete their mission and makes them harder targets for enemy missiles. 

https://www.19fortyfive.com/2023/10/dont-tell-putin-russia-shot-down-one-of-its-own-su-35s-flanker-fighter-jets/

https://www.msn.com/en-us/news/world/russia-shot-down-its-most-advanced-fighter-jet-over-tokmak-uk-mod-says/ar-AA1hFMaT