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The development of AI is faster than anytime before.


The investments in AI development are very big. And that accelerates its development. Those new companies can buy high-power supercomputers. And they have money to hire highly trained specialists to make the new and more powerful algorithms. 

Big and well-funded companies like Google and Elon Musk's startup X.AI are challenging OpenAI and Microsoft in AI development. And the thing is that the development of AI follows a similar route to the development of quantum systems like quantum computers. 

Today, AI will participate in its development. So the next-generation AI can be the creature of other AI algorithms. That means the AI can make it automatic. The AI doesn't make errors. And that makes the new systems more effective than old-fashion human operating systems. 

The AI can create very complicated codes without errors. There is a possibility that some system can translate the GPT-* code platform to the PHP etc. code platforms.  Also, new algorithms can control quantum computers more effectively than ever before. No human can make a couple of billions of Python, PHP, or C++ lines without errors. 



The new types of systems make it possible to translate complicated programming languages to some more limited language structures. So at least theoretically is possible that the system can translate the GPT-X program to Python, PHP, C++, or Java. That thing requires billions of lines of code. But ultra-fast computers could make that in minutes. And maybe somebody already made that thing by giving the AI the command "make the C++ copy of your code platform". 

Modern computers also can drive more complicated code than ever before. And that makes the systems and AI more effective and multi-use than ever before. The fact is that. We are close to the common-, or general  AI the system that can handle things like humans. 

The OI (Organoid intelligence) Is the most powerful tool in the world of AI. That thing means that the cloned neurons are connected with microchips. The OI can learn in a similar way as humans. But, in that kind of system, the data can be driven to the microchips. And then those microchips transfer data to those neurons. 

This thing makes the OI an effective learner. The OI can have a similar number of neurons as the human brain. And then, the system drives data into those living neurons from the microchips. So that kind of system can be the same way intelligent as humans, but it can learn faster than humans. 

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