Are computer games, and especially online games, so innocent as they should be?

  Are computer games, and especially online games, so innocent as they should be?

The thing is that there are many ways to use computer games for research, development, and intelligence work. Computer games or online games also offer online social media platforms. And there people can discuss and ask things from each other. When a person plays 1st. person action games. Some other person can ask, where other players learned some kind of tactics.

Or would some other player own some guns that are in those games? That thing allows intelligence officials to ask would some players be some kind of military officials. Or are the player's parents working in the military industry or other military work? 

"A study from Aalto University’s Department of Computer Science reveals concerning data collection practices within online games and highlights players’ misconceptions about privacy. The research identified manipulative design tactics that encourage data sharing and highlighted that players often remain unaware of the data collection extent. While players have adopted tactics to protect their privacy, such as preferring text chats over voice, the study concludes by stressing the need for games to prioritize transparency, safety, and player autonomy." (ScitechDaily.com/Billion-Dollar Secrets: What Your Video Games Aren’t Telling You)

The computer games can use as propaganda tools. Or they can use to practice drone operators cooperation. 

Criminals can ask where they can find things like guns using online computer games. We should have the same attitude to computer games as other social media. Computer games can be used to inject malware into computers or cheat money or identity. 

Another thing that social media and online computer games offer is a platform where the developers of AI can collect people's reactions. And then the AI tries to create counter-reactions for those actions. The AI or language models can move virtual characters that movements connected with virtual and augmented reality. 

When some character or group of actors are playing against AI-controlled virtual characters and then the AI uses compositional generalization to connect the best possible movement series by using a methodology that connects multiple databases. In that method, the AI uses the same models for multiple purposes. 

The AI uses ready-made templates that are like Legos in its entirety. The AI tries to reorder those ready-made templates. The AI can turn virtual actions straight into physical actions using the virtual models. Then it can transform that virtual model into a physical robot. 

But the AI requires information on which action series is the best. Computer games can teach AI which composition is the most suitable for some situations. For learning things the AI requires something, that it can use as simulation. Computer games can teach the AI how it must react. 

https://scitechdaily.com/billion-dollar-secrets-what-your-video-games-arent-telling-you/

 

Bionic limbs are a reality.

 Bionic limbs are a reality.

"This bionic hand is fused to a woman’s bones, muscles, and nerves" "The unique integration reduced her pain and gave her more control over the prosthetic." (FreeThink/This bionic hand is fused to a woman’s bones, muscles, and nerves)

The limits of innovation are on our minds. And new bionic prostheses are making the sci-fi tales true. The new bionic prostheses interact with the human nervous system, and they are just like real arms. The next-generation bionic prostheses are AI-controlled robot limbs that follow commands from the human nervous system. Those bionic prostheses are tools that can make people feel like robots.

Or those highly advanced bionic prostheses will bring people and machines together. The bionic arms and legs are stronger than natural ones. The same technology used in bionic systems can be used in many ways. And that thing brings sci-fi tales like "Star Wars" and "Dr. Adder" to reality.

The bionic prosthesis can make a person superhuman. In sci-fi tales like Star Wars, Darth Vader is the robot, a cyborg that has human brains that control the body. Another character, Luke Skywalker, also has a robot arm, which makes him stronger than regular humans. 

Fictional chracter Darth Vader with his bionic suit. 

And in some sci-fi tales, those bionic prostheses or robot arms and legs have acoustic weapons inside them. The weaponized bionic arm is introduced in the dark sci-fi novel "Dr. Adder". The nuclear-powered bionic prosthesis is equipped with a high-power sound or resonance weapon and infrared sensors that can search for people.

This thing has brought dark visions to the cyborg soldiers that have robot limbs. The fact is that modern surgery makes it possible to remove a natural limb and then replace it by using robot hands. The natural limbs will be put in the freezer or in the life support system that delivers blood to those limbs and keeps them alive.

When a soldier doesn't need robot limbs anymore, they will be removed. And then the natural limbs will reconnect with those people. The robot arm or bionic arm can be equipped with many things, like remote control systems. The fact is that prostheses that can send touch sense to the human brain and feel like a real arm are meant as an auxiliary tool for injured people. But if people have money, they can do almost anything they want.

https://www.freethink.com/hard-tech/bionic-hand-phantom-limb

https://en.wikipedia.org/wiki/Dr._Adder

Cosmobiology, vampires, and werewolves cause interesting theorems.

   Cosmobiology, vampires, and werewolves cause interesting theorems.

Could there be some mirror person of somebody? 

Researchers at the Chinese  Hangzhou University researched the DNA and RNA molecules cis-trans isomerism. Researchers created this work to investigate mirror lifeforms. The idea is that in the research the DNA will be injected into the cells in the opposite direction as it normally is. 

That thing makes it possible to research things like how the isomerism of the DNA and RNA molecules determines the creature's behavior. We know that things like cis-trans isomerism have an effect on protein behavior in ion pumps of the cells. And if some proteins oppositely go into the cells as it should that protein kills the cell. But what kind of effect does the DNA or RNA if it travels to the cell organelle in the wrong way? 

It's possible. That some kind of psychopathic persons were examples of the werewolf and vampire stories. And maybe those stories are told as a warning that the most innocent and nice-looking person can be the monster. So don't go with strangers or there could be trouble. But what kind of creatures could be the "real vampires and werewolves"? 

Cosmobiologists created the model of the vampires and werewolves that are fictional creatures or at least I hope so. In theories, vampires are parasites that can take their host's form. The idea is that the parasite can steal the DNA from its host and then replace the host's cells with its cells. And werewolves would be xenomorphs that can change their form.

In theories, it is possible to create creatures that involve cells. That act as DNA or RNA factories. Then some mark like a full moon activates the cell group creating the RNA viruses that transform the creature to wolf. And when the full moon is gone, another virus transforms the creature back into a human. 

The idea is taken from the malaria parasites that have a certain cycle. And then the full moon would be the time when the parasite multiplies itself. Those kinds of creatures are hopefully pure theories. There is the possibility that this kind of theoretical parasite can create poison needles that can inject zombie poison into the victim. 

The culture connects species to civilization. And we can say that the possibility to communicate between the solar systems is the thing that makes civilization. 

If we think that species send crews to other solar systems to establish bases. That automatically does not mean that the creature can cross the speed of light. Those one-way journeys can take thousands of years. And when those crews reach another solar system they need to adapt their bodies to the habitable planets. 

The crew might need to modify themselves by stealing the DNA from creatures that already live on that planet if there are some domestic life forms. Or if there are no habitable planets they must terraform some planet. And that thing can happen by using microbes. 

However, the AI must genetically modify those microbes to adapt them to the electromagnetic and chemical environment where they are released. And then the base makers must wait for the environment is change. During that time those living creatures must wait hundreds or even thousands of years. And that thing can done by using some kind of deep-frozen cell-level fetuses. 

When we think about cosmobiology we always think that this thing is the same as UFO and alien hunting. The fact is that cosmobiology is a little bit like alien hunting. But then we must realize one thing. '

1) Interplanetary civilization

2) Interstellar civilization 

3) Interstellar traveling 

4) And interstellar communication are not synonyms. 

The creatures that live around red dwarfs could travel between planets very easily. Those solar systems are not very big. And the red dwarf's planetary system could fit inside Mercury's trajectory. Those journeys can made by using regular chemical rockets. 

However interstellar traveling requires more advanced technology. But the ability to send crews to other solar systems doesn't mean that the crew will ever return. The spacecraft can use time dilation or civilization could send the fetuses that robots and interactive AI can grow to adults when the craft comes to another solar system. 

That means those crews would be on a one-way trip and they will not see their senders anymore. They will never see their home planets. And maybe the communication ability connects those creatures. The fact is that those hypothetical creatures require DNA and RNA modification before they create the base. The alien planets can host dangerous parasites and viruses. That's why those creatures require an immune system that can resist those viruses and bacteria. 

Also, things like different atmospheres and electromagnetic radiation from the central star require adaptation. The best way to adapt species to other planets and their environment is to steal the DNA of some other species that already live on that planet. 

An interstellar civilization can be a group of planets and solar systems that can communicate with each other. The idea for that model is taken from the Roman telegraphs. Those optical telegraphs connected the Roman state. The interstellar civilization can send information through the tiny wormholes by using quantum entanglement. That civilization could control robot factories by using quantum systems. But physical journeys between those bases take thousands or even millions of years. 

But why do cosmologists think and try to model things like vampires? 

That kind of thing is important when researchers are trying to imagine things like alien lifeforms. The fact is this: there is no confirmed evidence about the extraterrestrial lifeforms. But things like carbon dioxide in Europa moon causing the situation that we must carefully think about the form of alien lifeforms and alien intelligence. 

The cosmobiology is turned into real science. The idea of that science is to use Earth's lifeforms to model the living creatures that could live on another planet. There is the possibility that alien lifeforms are quite common in the universe. But alien intelligence is a very rare thing, and the thing that makes humans an intelligent species might connected with catastrophes on Earth. 

Catastrophes and suddenly changing climate caused situations that evolution started to benefit intelligence. But the human advancement or the evolutionary route that formed humans didn't begin in caves in an ice age. It began in the primordial sea. In the primordial sea was the beginning of the life. And the first predator cells formed. Those predator cells ate the first photosynthetic cells. And that thing formed the evolutionary tree where vegetarians separated from beasts. And then beasts separated into independent species. 

https://bigthink.com/life/dark-biosphere-mirror-image-lifeforms/

https://bigthink.com/13-8/little-book-aliens-golden-age-astrobiology/

https://en.wikipedia.org/wiki/Cis%E2%80%93trans_isomerism

Compositional generalization is the new method for machine learning.

  Compositional generalization is the new method for machine learning.

Compositional generalization means the ability to create new entities using existent particles. The idea is like making music by using the same notes but changing words. In the same way, if the system knows the words "walking" and "two times" it's possible to connect those terms and make the sentence "walking two times". This is the idea of compositional generalization.

The compositional generalization can extend to physical works. The system can connect certain movements with certain objects and orders that users give to robots. But the key element in that kind of robot is language modeling. The robot must "understand" the things that people want it to do when they say something. The compositional generalization means that a robot can connect some words that it hears to certain movement series.

"Researchers have developed a technique called Meta-learning for Compositionality (MLC) that enhances the ability of artificial intelligence systems to make “compositional generalizations.” This ability, which allows humans to relate and combine concepts, has been a debated topic in the AI field for decades. Through a unique learning procedure, MLC showed performance comparable to, and at times surpassing, human capabilities in experiments. This breakthrough suggests that traditional neural networks can indeed be trained to mimic human-like systematic generalization." (ScitechDaily.com/The Future of Machine Learning: A New Breakthrough Technique)

In a physical model, the system can learn by looking at things. When a robot or learning machine learns to walk, it can see how people walk. In this example, a robot looks like a human. Then it must combine things that it sees as the right things. The system must know what limbs are and what parts it must use for moving things, like the left arm.

The servo engines that move joints must be equipped with microchips. The system must know what is on the left side. And then it must know where that servo engine is. When operators teach which side is left, they can raise the left hand of the robot. Then they must make the robot connect that moving hand to the word "left side".

The microchips that are controlling the left side might have small computers that know if it needs to move its servo engine. In that case, the computer "brain" of robots can send commands by using a common address or common transportation address. In that case, the computers that control servo engines filter out unnecessary messages from the command line that the system gives to those servo engines.

Because robots use networked systems where intelligent systems control the joints, another neural structure is simpler to make. And that also makes operations lighter for the system's brain, which is the computer. In networked systems, there are multiple secondary computers in the robot's body. And the robot group can form a whole where each member shares their information and computing capacity.

https://scitechdaily.com/the-future-of-machine-learning-a-new-breakthrough-technique/

AI is a tool that requires understanding.

 AI is a tool that requires understanding. 

If we use AI, we must understand what we ask. And we must realize that even if the AI seems perfect. There is the possibility that there are errors in the source. Also, questions that we introduce to AI can involve things that make the AI search for wrong solutions. 

Another thing is that the AI can remove answers that might not please its users. In the case. Where the AI's purpose is to please its users. It might be useless to search for relevant and neutral information. Information collected from some sources serves somebody. And the minimum way to serve somebody is to please that actor. 

The AI means multiple applications in military and civil areas. The system can make decisions by following some route that seems reasonable. Or the system can take a series of actions that can benefit it and its users. 

The term Intelligence means a series of actions that seem functional and logical. Artificial intelligence is the thing that can network multiple applications together. The thing in the AI is that is not neutral. Or the AI itself can be as neutral as the people who programmed it are. 

 Humans made all the sources and algorithms that AI uses. Human programmers select what kind of answers the AI gives. 

And the problem with commercial AI is that its mission is to please people. Commercial AI has a mission to bring profits for its owners. And that means the commercial AI might give data that pleases people. Another thing is that the AI would give moralistic and ethically accepted answers to people who ask questions. The problem is that moral and ethics is not always true. The thing is that the language models just put the words one after one. 

The answer to the question: can AI cheat people to make things that do not benefit them? Or rather saying, the AI is not a cheater. The people who made the AI are cheaters.  Normally, the AI doesn't know if people like them or their answers. The AI uses certain algorithms like how long time each user spends with it. But the AI doesn't know: do people like it? 

The AI can search for things like what normally pleases people. And then it can send material to the net that pleases most of certain people types. Thins like TikTok are popular social media platforms. The problem is that those platforms operated from China. The AI can search for certain things from the rooms where people made videos. By using this data intelligence officials can select people, who they want to recruit. The AI can search for things that might interest Chinese intelligence. 

Can AI be dangerous for people? The fact is that things like misuse of AI are always dangerous, and other dangerous things are programming errors. Military solutions or militarized AI are also risks. The purpose of those solutions is to harm people or infrastructure. If we want to use AI as a weapon. It will become a weapon. If we deliver the free will to AI and follow everything that it says, we are under AI's command. 

If we sit behind the steering wheel of a self-driving car and sleep that thing can cause an accident. The other thing is this. If hackers put something like a ghost protocol into the car's control system. The car can turn into a dangerous thing. In the worst case, the ghost protocol can connect to the image recognition system. And if somebody is targeted for that system, the car can smash that person. 

The thing that makes this possible. AI doesn't understand that action.  It just follows the algorithms. That algorithm orders it to push the brake pedal at a certain moment. The problem is that it's very easy to crosslink the gas and brake pedal. That thing must realized when people think of things like self-driving cars. Errors make us humans. And in places like traffic is no place for errors or the destruction will be total. 

Race for next-generation internet is going on.

  Race for next-generation internet is going on. 

The next-generation Internet is more secure and more complicated than it is now. The series of quantum entanglements will transport information in the next generation Internet. 

The quantum-based security makes it impossible to hack into that net. And that means the highly secure quantum net is also more controlled than the net has ever been before. The quantum technology, along with deep learning security programs make the anonymous use of the net completely impossible. 

Otherwise, new applications like drone control, 3D printing, and banking require new encryption technology

But the fact is that things like general-purpose AI and Internet of Things like 3D printing systems require very high-level security because those systems are very destructive. NASA is planning to create rocket engines using 3D printing technology. And that thing means that maybe quite soon the cannons like 155mm. howitzer will create by using 3D printers.

And also things like assault rifles are easy to make by using 3D printers that can print metal parts and rocket engines. The metal-printing 3D printers can create any merchandise by using CAD 3D drawings. And that makes those systems very dangerous in the wrong hands. 

"Advancing quantum teleportation, researchers set a new speed record of 7.1 qubits per second, utilizing innovative technology and overcoming prior limitations, marking a pivotal stride toward an efficient, far-reaching quantum internet." (ScitechDaily.com/Quantum Breakthrough: Record-Breaking Quantum Teleportation Achieved Over Metropolitan Range)

The advance of that technology is very fast. Another thing is that the highly secured internet is required for filtering attempts to print illegal weapons using 3D printers. Officials say. That requirement for highly secured neet is for filtering attempts to create unauthorized weapons and make computer viruses, and other illegal malware by using general-purpose AI. That network will also filter hostile trolls and other things from the net. 

Quantum security makes old-fashioned internet crimes useless. People require hard identification when they login to the net. And the argument against that policy is that we don't want to control the government. But then we must realize that this day the fast internet makes it possible to use that thing for illegal activities. Computer criminals and other kinds of people who want to deliver malware that steals people's money must be put under control. 

Hacking is not the only problem that the Internet has. The big problem is hostile actors like criminals and hostile governments. Things like general AI are like nuclear weapons in the wrong hands. The data that GP AI creates can involve very complicated malware solutions. And control is important for avoiding misuse of those systems. Also, things like sensitive emotional AI can misused. 

The emotional AI imitates feelings and emotions. Those systems are easy to misuse. They can used to make letters or messages that make people send money. And that's why those system's use must happen only through a strong identity check. And emotional AI is a devastating tool in the hands of cheaters. The AI should have the ability to tell instances like universities and high schools if their students used the AI for fraud or some other illegal activities that thing should told to the controllers. 

So we must pay the price anyway. The net is the perfect tool for information operations from the Russians and BRICS coalition. The problem with psychological operations is that the highly secured net will not deny those operations if the operator owns and controls the net. The internet interconnects authorities together. But the net is the platform that connects underworld actors. If we keep our net too open that thing would be the tool that hostile operators can benefit from. 

https://cyprus-mail.com/2023/10/23/the-race-is-on-for-a-new-internet/

https://scitechdaily.com/quantum-breakthrough-record-breaking-quantum-teleportation-achieved-over-metropolitan-range/

Cognitive attacks against the VR and automatized computing systems are a real threat.

 Cognitive attacks against the VR and automatized computing systems are a real threat. 

Above: Ukranian drone operator uses VR glasses. Those systems are potential targets for cyber-attacks that can deliver propaganda or be used in other psychological or cognitive operations. 

The cognitive systems learn from their mistakes. And that thing makes cognitive systems more lethal than any other system. In this version of an essay that handles cognitive attacks, the perspective is on cyber attacks like AI-driven neural networks. Those neural networks operate as independent attackers. 

AI must not rest or keep breaks. That means it can attack against other systems 24/7. The attacker can give orders to an AI-based system. Then go to work. When the day is over, return to home or the hacking place. The hacker probably uses an attacking system by using a remote control. That denies the possibility of closing the hacker's internet by tracking the attacking computer. That can hidden in some offices or business hotels. 

The hacker can use one computer to pollute others with malicious software that turns the large computer's entirety into a zombie network. The hacker can select any computer in that network. And then give orders to the system to begin the attack. 

AI like Chat GPT, makes it possible to create complicated malicious tools that can infect multiple systems. The hacker can control millions of computers. That kind of malicious software is more complicated than ever before. They can avoid disturbing the computer's normal operations and remain in RAM (Read Access Memory). And write themselves to hard disk in pieces, which makes them hard to detect. 

The cognitive neural network can involve thousands or millions of computers. The system can share itself into components or segments. It can use each network segment or computer as an independent attacker.  In that model, the attacking system can change the attacking computer and IP address very fast. And that makes it hard to close those addresses. 

The cognitive attack can mean:

1) propaganda or some other thing. That can affect to target's cognitive abilities. 

2) The attack where an AI-based- system makes multiple different types of attacks against targeted systems. 

Then the AI learns what is the best way to break defense. Then the AI-based system can expand the operational sector. In that learning process, the AI selects the best results. That it gets from the other similar activities it uses that methodology for new systems. 

The attacking system uses some collected datasets that it uses for creating passwords. Those datasets can be information that connects to the operator's personal history and workplaces. Then the system searches people, who are working in targeted systems. Then the AI starts to test those companies with suspected usernames that are normally firstname dot lastname with company email address. 

The AI searches for the response times and tries to determine if the dataset involves the right and effective information. If the username is right, the response from the target system takes longer than if both, the username and password are wrong. Number of right letters and numbers determines the response time in the password.  

Even if the targeted system closes the access from a certain IP address. The cognitive AI-based neural network can simply change the computer or IP address. That is used in the attack. This kind of attack is a classic hacker attack whose purpose is to steal information. 

Cognitive attacks are dangerous tools. They can used to affect people. The civilians use the BlueTooth earphones. And the hacker who can break those BlueTooth identification codes can send information into those wireless systems. 

Modern warfare is full of technical solutions. The attack drones use VR headsets to communicate with their operators. The wireless earphones and radiocommunication with secured data transmissions are the best in business. But those systems involve threats. 

People trust those systems. And if those systems are fallen results can be devastating. The entire communication. Along with GPS data can get into the hands of the enemy.

When somebody can break the codes that those systems use. The cyber attacker can use that information to cut communication lines. In worst cases, the cyber attacker can delete codes from IFF systems that identify are some targets friendly or hostile.

Or if cyber sabotage is targeted to factories that build drones or some other high-tech military merchandise like missiles the system can simply deny to load operating systems to those smart weapons. Or send propaganda transmissions to the drone operators. The drone operators can attack accidentally against their troops if the cyber attacker can transmit disinformation to those systems. 

https://futurism.com/the-byte/darpa-vr-cognitive-attacks

https://www.reuters.com/world/europe/ukrainian-army-revamps-commercial-drones-attack-russian-tanks-trenches-2023-05-16/

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

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/

The general AI can be a networked cloud-based system.

 The general AI can be a networked cloud-based system. 

The general AI can be a cloud cloud-based system that connects sub-systems under one umbrella. Those sub-systems can be independently operating AIs that central AI can connect to work with the same solution. 

Every data system involves hardware and software. In cloud-based AI every part of that system can close the problem from different angles depending on what type of datasets each system can use. 

The problem with monolithic architecture is if the server falls the entire system stops its work. Web-based architecture with multiple cores guarantees that the AI works even if there is some kind of problem in one server. 

The cloud-based architecture makes the networked AI an ultimate power.  We can think that the future belongs to limited and precise AIs. The fact is that the AI-based chatbots can also interconnect those independently operating AIs under one umbrella. A limited AI could be the AI-based chatbots that collect data for some special missions, like stock marketing and financial investments. 

The thing that determines what purpose the AI has is the dataset that the AI uses. If the AI must only follow stock marketing homepages and compile numbers from those pages. That thing makes it very accurate. But it's possible to connect that limited AI with some other AI that can use open sources for searching data. 

That open source can be things like the Financial Times and some news pages. The AI can search for information from the net about those companies on the stock marketing pages. The reason for that is, big investors might want to see what their investment or "investment that they want" makes. If a company is on some kind of boycott list, that can cause problems that take a person into the courtroom.  

The open internet is problematic for the AI because it should select trusted sources. However, the human operators or creators can determine what pages the AI must use.

However, cloud-based AIs can be limited to AIs that are operating under one AI that acts like an umbrella that interconnects their abilities. The idea is like in all other cloud-based structures. 

The cloud-based AI can be networked servers, and each of those servers runs its own AI software. People can see network benefits from that thing. The AI software is a complicated tool. And in a networked solution where each server runs independent AI, there is no need for maximum capable servers. Each server shares responsibilities and resources over the network and that means those multi-core systems make the individual server's work lighter. 

The general AI can be networked precisely created limited AIs. In that version, the AI that we see from outside is an entirety of multiple networked AIs. This means that the networked AI can look like a cloud-based solution. 

From the outside, it looks like a monolithic structure, but that entirety is multiple independently operating AIs that can act as an entirety, or they can act as separated cells that can operate with different independent operations. This makes the cloud-type networked AI an interesting tool. Every part of that network can installed on their servers. In that case, the AI is the server network. Each of those servers runs an independent AI program, as I wrote before.