CHAPTER 661: AI LOGIC MODEL.

As his mind dived into the lake of information within the crystal ball, a large amount of information surged into his mind. This made it unclear if his mind was the one descending to meet the information within the crystal ball or if it was the information that was coming up to meet his mind.

His mind is already powerful enough not to forget whatever he has learned, but in order not to waste this precious information, he had the five virtual copies in his mind pause what they were doing to help him distill the information into a mental construct.

The virtual copies in his mind don’t need to focus on the vessel sigil techniques all day without interruption because he has learned them. He can afford to divert his mental capabilities elsewhere without jeopardizing anything.

Once his powerful mind and the virtual copies got to work, they began to create a large mental structure of the logic model in his mental space. This mental structure resembled the structure of spell models. But this was only an external similarity.

Spell models were rigid and had clearly defined paths. They didn’t change, and one had to stick to their specific structure if one was to make them work.

But the logic model was a structure capable of change. It was made of tiny components capable of interacting with each other in various ways.

Crystalizing the structure of the logic model in his mind took him 8 days of work. This was despite the help of the five virtual copies. Without them, it would have taken him 48 days to do this.

But this was only the first step in learning how logic models work. He still had to get books about logic models and use them to understand the intricacies of the logic model in his mind.

This was what he spent his time doing next. He was learning and he enjoyed doing it.

His days were spent burying his head in books or going through memory crystals. As he did so, his knowledge of the logic model increased rapidly.

He learned that each component of the logic model was called a thought unit. The thought unit is a 3-dimensional structure made out of divine sense.

The fact that it is made of divine sense makes the thought component capable of carrying information, but it is the 3-dimensional structure that makes this information capable of undergoing changes and transformation.

This thought unit could be small or large. The smaller the thought component is, the faster it is to transform information and the weaker it would be. And the bigger it is, the slower it is to transform information.

This wasn’t difficult for him to understand because he was able to liken the size of thought units to the size of transistors in computing units. The smaller the size of transistors, the more of them can be packed in the same space, and the more efficient they are at processing information.

But the thought component can also be a simple 3-dimensional object or a complicated one. It could be a simple triangular prism with 5 faces and 8 edges, or it could be a complicated icosahedron with 20 faces and 30 edges.

In general, the more faces a thought unit has, the more possible transformations information within it can transform into and the more possible combinations the information within a thought unit can have with the surrounding thought units.

The faces of thought units are like the dendrites and nerve endings of nerve cells. The more faces there are, the more a thought unit can interact and communicate with other thought units.

But creating thought units with a lot of faces while keeping them small is a difficult job. This is because the more edges the 3-dimensional structure of a thought unit has, the more divine sense has to be used to make it, and the bigger it will be.

At the end of the day, the size and the complexity of a thought component work together to determine the power and efficiency of a logic model. The size is the factor that mostly determines the power of a thought unit, while the complexity determines the efficiency of the thought unit.

For example, a very small triangular prism can process information in a second. And since it has 5 faces, it can produce 5 transformations of information in that one second. So its power will be rated at 5 transformations per second.

On the other hand, a large isocahedron can process information in two seconds. This is twice as long as the small triangular prism, but since it has 20 faces, it can produce 20 transformations of information in 2 seconds. This puts its power at 10 transformations per second.

This shows that sometimes, the advantage in size can be forgone for an advantage in complexity. But while the power of two thought components is easy to compare, the efficiency of the two thought components is more difficult to compare.

The efficiency of the two thought units is not set in stone. Their efficiency entirely depends on the work that they are doing.

If the two thought units are made to work on sorting out the age of every member of the sect, the small thought component will come out on top in terms of efficiency and speed because the work they are doing is simple and straightforward.

The possible transformations for the age of someone are few in number because age is very easy to calculate. Even if the small thought unit makes mistakes, it has five chances to get the right outcome.

Unless the small thought unit makes a wrong information transformation five times in a row, it will be able to get the right outcome in one second. The larger thought unit won’t be so lucky.

No matter how simple the task is, the larger thought unit will require two seconds to produce an outcome, and it will also consume the same amount of energy regardless of the simplicity of the task.