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Google's AI passed Turing's test.


Turing's test called the imitation game, should determine how intelligent the machine is. During that test, the AI must make texts that cannot be distinguished from humans. Google's AI is the thing that broke the myth. The myth is that AI could never reach humans in that test. But now the AI knows that it has come to a crossroads.

The ability to reach a human's level as a text maker gives the AI more than one ability, so we can wait for exciting applications and other things from the AI. There is a possibility. In the images and texts, the person who is outsourcing to AI should equip some kind of certificate. That the AI created texts and images. 

And maybe the AI should keep a database of texts that it makes. Then, if that text is loaded into the high school or university database where it was loaded during the thesis, the AI tells you that it got the job that the student introduced as the thesis. But the fact that the AI can pass Turing's text is remarkable and fascinating at the same time.

The thing that gives AI its ultimate abilities is that those systems are never tired. They can see and observe very large and complex virtual and physical structures. Along with quantum lasers, this kind of system makes it possible to create many new things, like nanotechnology and complex molecules.



Even the most complex AI can use robot bodies to communicate with people. The robots can form a moving neural network-based computer. And robot groups like drone swarms and groups of human-looking robots can act as neural network-based AI. By using distributed computing, computers whose power is lower than that of supercomputers can share their resources with other group members. That means the drone swarm can act like one large supercomputer.

The next-generation cyborg microchips are the tools that can make robots as intelligent as humans. Same way small and compact quantum computers can revolutionize computing and robotics. In visions of tomorrow, miniature quantum computers that are smaller than atoms can be installed in the brain. Those systems will boost the intelligence of humans.

Today's AI consists only of computer programs. Those very complicated data structures are impressive when they connect data from different sources. But those AI programs are far from the future, where living neurons boost fully integrated systems that are learning like humans. Things like cyborg microchips, where living human neurons are connected with semiconductors and quantum systems, are the things that make next-generation integrated AI more effective than it is now.

When we think about the future of AI, we don't even realize what the real capacity of cyborg microchips is. Semiconductors and other kinds of things can preprocess and preload data to those neurons at a speed that is unknown to living creatures. The neuron-hybrid microchips that are connected to quantum computers are the most powerful computing systems that humans can ever imagine.

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