Skip to main content

Where would you put the artificial intelligence, what can threaten all the World, if that would be released?

Illustrial photo (RTG of ALSEP)
http://large.stanford.edu/courses/2012/ph241/kumar1/images/f2big.jpg
https://kirjabloggaus.blogspot.com/

Kimmo Huosionmaa

The supercomputers of tomorrow might be not bigger than the RTG of ALSEP, what is for the illustration purpose on the top of the test. People are afraid of the artificial intelligence, and that very understandable. We are all afraid of new things. And the artificial intelligence, that would be more intelligent than human is the very frightening thing.  But if this machine can create new things it would be the threat for many people, who have thought that nothing can threaten their position.


That is a very good question because many people would not even believe, that what kind of artificial intelligence could be the threat for the human race. The computer, what is imitating the human brains is very easy to produce in theory. There would be needed two microchips. Another is working as the Neuron, and another one plays the mirror neuron. That system could possible the spontaneous thinking process.


But there will be another one way to make the computer, what can think creatively.  Here we are thinking about the bio-processors. The supercomputers, what uses the living neurons for making the thoughts. The neuro-computers, what those bio-computers can be might be extremely small size, and the computer itself is actually the superconducting magnet, that would be installed around the cylinder, what is filled with the neurons.


That kind of computer can also give information on those cells by using magnet fields. The systems bases in the method, that the neurons, what take from bugs can be observed by using MEG ( Magnetoencephalography). That technology would allow communicating with those neurons by using magnet fields. And those cells must be feed by giving them sugars. If we would make that kind of computer, that system could be extremely dangerous. The most effective computer, that people can imagine, is the bio- or neurocomputer, that is connected to the quantum computer. That would give it the superior way to calculate and think without limits.


If it would connect to the Internet, the results could be devastating, if that system hacks some missile computers. The system, that is used could contain two tanks, where the neurons are. One tank is for the neuron, and another tank is for mirror neuron. That kind of machine would be used in the extreme long logic thinking. But the reason for that is very dangerous, the system must locate to the moon or somewhere where it could be controlled in a safe position. The results if that kind of computer would be making something unpredictable would be very dramatic. That is the reason, why the access to that kind of system must be limited. And if the computer would go unstable, that would cause the reason for eliminating that machine.

Comments

Popular posts from this blog

New AI-based operating systems revolutionize drone technology.

"University of Missouri researchers are advancing drone autonomy using AI, focusing on navigation and environmental interaction without GPS reliance. Credit: SciTechDaily.com" (ScitechDaily, AI Unleashed: Revolutionizing Autonomous Drone Navigation) The GPS is an effective navigation system. But the problem is, how to operate that system when somebody jams it? The GPS is a problematic system. Its signal is quite easy to cut. And otherwise, if the enemy gets the GPS systems in their hands, they can get GPS frequencies. That helps to make the jammer algorithms against those drones. The simple GPS is a very vulnerable thing.  Done swarms are effective tools when researchers want to control large areas. The drone swarm's power base is in a non-centralized calculation methodology. In that model, drones share their CPU power with other swarm members. This structure allows us to drive complicated AI-based solutions. And in drone swarms, the swarm operates as an entirety. That ca

Hydrogen is one of the most promising aircraft fuels.

Aircraft can use hydrogen in fuel cells. Fuel cells can give electricity to the electric engines that rotate propellers. Or they can give electricity to electric jet engines. In electric jet engines. Electric arcs heat air, and the expansion of air or some propellant pushes aircraft forward. Or, the aircraft can use hydrogen in its turbines or some more exotic engines like ramjets. Aircraft companies like Airbus and some other aircraft manufacturers test hydrogen as the turbine fuel.  Hydrogen is one of the most interesting fuels for next-generation aircraft that travel faster than ever. Hydrogen fuel is the key element in the new scramjet and ramjet-driven aircraft. Futuristic hypersonic systems can reach speeds over Mach 20.  Today the safe top speed of those aircraft that use air-breathe hypersonic aircraft is about Mach 5-6.   Hydrogen is easy to get, and the way to produce hydrogen determines how ecological that fuel can be. The electrolytic systems require electricity, and electr

The neuroscientists get a new tool, the 1400 terabyte model of human brains.

"Six layers of excitatory neurons color-coded by depth. Credit: Google Research and Lichtman Lab" (SciteechDaily, Harvard and Google Neuroscience Breakthrough: Intricately Detailed 1,400 Terabyte 3D Brain Map) Harvard and Google created the first comprehensive model of human brains. The new computer model consists of 1400 terabytes of data. That thing would be the model. That consists comprehensive dataset about axons and their connections. And that model is the path to the new models or the human brain's digital twins.  The digital twin of human brains can mean the AI-based digital model. That consists of data about the blood vessels and neural connections. However, the more advanced models can simulate electric and chemical interactions in the human brain.  This project was impossible without AI. That can collect the dataset for that model. The human brain is one of the most complicated structures and interactions between neurotransmitters, axons, and the electrochemica