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The AI requires a new processor architecture.

The AI participates in new microchip development. New large language models, LLM, require a new microchip architecture that can drive and handle bigger data masses. When the AI drives a large data mass, the AI compiles the input data with databases. There are descriptions of how the AI should react to some situations. If details or parameters match with some database, that database begins a reaction.  The problem is that things like machine view require that the system analyze lots of data in a short moment. If the system has a neural network in use, it can share data with lots of computers. Image 2 is the neural network model and every single point between lines can be the independently operating microchip. The problem with a 2D neural network is that the data begins to travel from machine view through the system. In this linear model, the system shares data with processors one after one.  That a kind of linear model. Where data travels in a system like a wave. That system is quite sl