Code breaking catastrophe.

AI can be a new Turing. 

AI can make many things. And one thing that it makes better than nobody else, is to connect data from different sources into new entirety. The best place, where users can use AI is the environment where certain rules and interactions dominate. That means the AI can make new physics and mathematical theories. 

The morphing neural network can share reading lines in bites. Then the system can share each bite to different workstations. That means the system can create the numbers for reading lines using Riemann's conjecture. 

The ability to share missions makes AI a more powerful code breaker than we ever imagined. The AI can share the missions with multiple central processing units. And that means the system can make extremely long calculations.

But the other thing that the AI can do is to search how long the system processes Riemann's conjecture. The system can store those numbers, that it generates. Then it can create the matrix about those numbers. We can think that those binary numbers that the system generates are like balls or some physical things. The system can share those numbers like balls into the boxes or number matrixes. And then it can share those matrixes with different supercomputers or workstations. 

That means. The system can act as a virtual quantum computer with those number matrixes. That thing makes the code-breaking machines more effective than ever before. The morphing neural network can share missions with multiple subnetworks. And when it creates numbers using Riemann's conjecture, that AI-based morphing neural network can make in the same time multiple missions. 

The system can make intermediate recordings when somebody gives it a new mission. And then those systems can return to the first mission. Or it can share its resources that some of its workstations operate backward when others work with the new mission. This is the thing in AI-based morphing neural networks. The only thing that can win the morphing neural network is the morphing neural network of quantum computers. 

That's why also other types of data security tools are needed. The simplest way to protect data physically is to share it with multiple wires and routes. If hackers can put an antenna in another information route. Half of the information is missing. The system can radiowaves and data cables to that mission. Half of the message or bits travel through satellite. And half of them travel in data cable. 

Or the system can send those bits using different wavelengths. And it can use mixed orders. In that case, the system must put the number in every data package so that the receiving system can sort it in the right order. 

Quantum security tools protect data in data channels in other ways. They pack data in physical carriers like photons or electrons. If somebody steals data from those data carriers. The data is also gone. The system sees that data is stolen. And it makes an alarm. 

And that means the system detects if some of those message carriers are stolen. Those systems send data in the middle of meaningless information carriers. But those information carriers are numbered like billiard balls. If one of them is missing, the system sees that somebody stole them. And that causes alarm.