The new Python profiler increases the power of Python very much.

 The new Python profiler increases the power of Python very much. 

The Python language is an effective but slow programming tool. Python is a very popular tool in network programming. But because it's slow it is problematic in complicated solutions that run on network-based decentralized platforms. Things like AI-based Bing and Chat GPT are making programming very easy, and they can create very complicated solutions in any public and open programming language. However, those programming tools do not remove the limits of the programming language itself. 

In complex and complicated solutions the program is divided into cells. Each of those cells involves different types of information. And each of those cells is responsible for certain reactions. Another reason for cell-based programming is simple. If one of those cells is corrupt that minimizes damage. 

The problem with AI is how it can select the right cell. If AI selects a cell from an interface that controls the physical machines that thing can cause catastrophe if the selected cell is wrong. That means there must be something. That simulates the reaction before the AI makes anything. This means the AI should have layers written with different programming languages. That it can pre-process information before reactions. 

"Researchers from the University of Massachusetts Amherst introduced Scalene, a cutting-edge Python profiler. Unlike traditional profilers, Scalene uses AI to both identify and suggest fixes for code inefficiencies. This development gains significance as the future leans towards better programming for speed improvements". (ScitechDaily.com/Turbocharged Python: AI Accelerates Computing Speed by Thousands of Times)

All of those cells handle one type of situation. And if the system must react fast, that means it needs multi-level programming architecture. The AI-based applications involve extremely complicated and large code structures with even millions or billions of databases and database connections. 

If the AI must go through all that code it takes too long. But if the AI has some kind of profiler that profiles the situations that the AI sees. That helps it to select the right cells from its structure. The faster structure below the Python level makes it possible to pre-select cells. The difference between AI solutions and regular computer programs is that AI is a non-linear tool. It requires the possibility to jump back and forth in the code. 

The faster C++ core under Python makes profiles about situations. That sensor gives it. Then that C++ layer selects the right Python cell. The C++ layer simulates the sensorimotor cortex. And Python layer is like the cerebral cortex. 

So there is a possibility that Python requires some other interface that runs below Python code. That other interface might written by using some other programming language like C++. That is faster than Python. The idea is that the inner code analyzes reactions that the Python interface makes in certain situations. The C++ interface under Python can jump into Python code and pre-select the program modules suitable for a certain situation. 

That kind of faster structure below the Python interface makes the structure look like a brain. The Python structure is like a cerebral cortex, and the C++ layer is like sub-consciousness. The faster C++ can also act as a reflex layer that reacts to fast situations. The Python layer can give observations into that C++ layer, that profiles the situation. And then that faster layer will select the right cell from the Python layer. 

The neuron densities in the cortex area follow a consistent distribution pattern.

 The neuron densities in the cortex area follow a consistent distribution pattern.

The consistent distribution pattern, or Gaussian pattern, is the key element of modern mathematics. The consistent distribution model of neuron distribution in the cortex determines everything our brain can do. The cortex is the key element in productive thinking. And the distribution of cell types determines what our cortex can do. Some skills that neurons have are determined by their genomes.

Researchers have noticed that fruit flies have extraordinary numerical abilities. That thing means that the DNA determines what skills neurons have. All neurons are not similar. And when we are learning something, we transport that information to our neurons.

But then all of us realized that we don't learn all skills in the same way. Some of us learn math easily, but things like languages are harder to learn. And that means we are learning things differently. That thing causes the idea that we can teach any skill to our neurons, but some neurons receive some skills more easily than others. 

"Neuron densities in cortical areas in the mammalian brain follow a consistent distribution pattern. This finding that has profound implications for brain modeling and the development of brain-inspired technologies. Credit: Morales-Gregorio" (ScitechDaily/Mind-Blown: Mathematical Rule Discovered Behind the Distribution of Neurons in Our Brains)

What if we have only one neuron type in our cortex? What if we only have "math neurons" or musical neurons in our cortex? Could that thing cause the phenomenon called "savant"? 

That means some neurons are "math neurons" because they receive mathematical information better than others. Some neurons are "musical neurons" because they learn or receive information that is required for music. 

If we think that we have math neurons, linguistic neurons, and drawing neurons, we might uncover the mystery of the Savant. What if a person has only math neurons? Or what if we only have musical neurons? 

Neuron-type distribution in the cortex might uncover things like autism and savants. A savant is a person who is very good in a very narrow skill area, like math or drawing. But otherwise, those people might have no other skills at all. That leads to the idea that maybe the reason for Savant is that there is only one kind of neuron in the cortex. In that case, extraordinary distribution in neuron types causes a situation where a person has one extraordinary but very narrow skill. 

https://scitechdaily.com/does-a-childs-math-skills-have-a-genetic-basis/

https://scitechdaily.com/mind-blown-mathematical-rule-discovered-behind-the-distribution-of-neurons-in-our-brains/?expand_article=1

https://scitechdaily.com/perceiving-quantities-fruit-flies-astonishing-numerical-abilities/

The new waves about the mobile technology

http://crisisofdemocracticstates.blogspot.fi/p/the-new-waves-about-mobile-technology.html

http://crisisofdemocracticstates.blogspot.fi/p/the-new-waves-about-mobile-technology.html