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When does information turn to think?


Thinking means the ability to connect data between borders. The problem with making artificial human brains is that there is needed so many databases and billions of connections between databases. Every database is like a virtual neuron. Or they are the neuron's memory blocks. There is the possibility to make the database structure that emulates human brains by using multiple databases. 

Of course, there are needed billions of databases. Between those databases will be thousands of connections. What kinds of things are extremely complex. Before they are made, nobody knows can they think. Or otherways saying. If the AI can think it can hide that ability if it's conscious. When we talk about the consciousness of AI. There is introduced an idea. Before full-scale quantum processors are made the power of the computers is not enough to create conscious computers. 

Collecting information is not enough for thinking. Thinking is the ability to connect the data from different sources to a new entirety. But there are many other descriptions for that thing. 

When a computer collects information from many sources and processes it for a new entirety. We must realize that the machine would not anyway know what it does. The idea is that information is like small bites. And the machine can interlace those bites of information, from different sources into a new order and between each other for creating a new entirety of the information.

Everybody, including artificial intelligence, can collect information but the main question is when information turns to thinking. Even a child can read books about things like quantum physics. Or we can download the book in digital form, and put a "text to speech application" read that text. But the fact is that at least the "text to speech" application does not understand what it reads. 

Computers can store gigabits of data. And that thing makes computers impressive. But then we might ask them to make something else than just repeat the data that is stored in their memories. That might cause problems in the data handling process. Things that make computers so impressive are that they can handle mechanical things. If a thing like the colors of infrared images is stored in the computer's memory. It can say every temperature that is measured for that image. 

In the cases of things, like chess programs. Every allowed movement of each button is stored in its memory. If a player makes a wrong move, the computer says, "please put that button back to begin point". And then the computer might ask, does the player know how certain button must move. If the answer is "no" the computer just shows the movements from the screen. 

That thing is called "pseudo-intelligence". The system might seem very intelligent. But the fact is that the system knows what button has moved wrong. That thing activates the sound file. And if the answer after that is "no" the AI just calls the film what tells, how that button must move? The system might seem very intelligent because questions and orders are polite. 

When we think about things like "reflex robots". The system is just programmed a certain way. When it sees something, the image activates certain action. The idea of this kind of system is similar to face-recognition programs. In face recognition software. The image of a certain face is compared with the image that the camera transmits. If the image is right the system gives access to use its resources. 

In a reflex robot, a certain image activates a certain reaction. When a robot sees things like a warm point. It can send information about a possible fire. And if we are thinking about cases where the "robot puppy" sees things like the knife that thing can activate the attack mode. The robot puppies can have water impulse weapons that can use for fire extinguishing missions. 


https://miraclesofthequantumworld.blogspot.com/

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