Machine learning of the Apple M1 neural engine

Spoofing in the concept of machine learning of the Apple M1 neural engine is an attempt to replace the way of action when the system sees you as another person. Spoofing prevents mental overload, giving an equivalent response to the initiator of the summary. Example: if you wash the dishes with your hands, and it mentally overloads you, you continue the work without reacting to your personal attitude to this issue. Every thought causes feedback from someone. Let’s imagine the whole world as a spherical map. Thus, the azimuth of this sphere is an angle, and you can assign it different values. If you get a summary from a place on the map that does not suit you, the azimuth angle automatically changes. Each temperament generates thoughts at different speeds in his or her head. Other people can also hear these thoughts, it’s like a thought that appeared in the minds of two personalities at the same time. If this temperament is unequal, you can get a thought at a higher amplitude speed, which leads to an increase in blood pressure, heart rate or a change in breathing. The only way to normalize this behavior is to artificially increase or decrease the speed of thought using a neural engine. Everyone can learn something. This is an integral part of personality. If a person shows regression in learning skills, artificial assistance in learning is required. This can be done using learning algorithms similar to how a child learns a new skill. From the acquired skills, the personality grows, which is the result of its behavior. This is a conscious behavior of a person. A person who has acquired some skills develops his unconscious knowledge. When a person needs to connect to this knowledge, he goes through a set of behavioral models. They include the current environment, tools and situations that a person faces. This is a necessary behavior to accept the learning outcome without rejecting it. Not all training is appropriate. There are situations when you want to give up your skill and transfer it to the unconscious. For example, someone is aggressively yelling at you, and you want to forget about this experience. This is also possible with a neural engine, providing zero feedback to the aggressor. Thus, you can experience a sense of insecurity and growing inability to learn, so you need to work without cache memory if it is an integral part of your personality. However, there may be a question of harming yourself or someone else. That’s where a neural engine can be useful. The only way to solve this situation, which is the subject of the resulting spoofing, is a neural engine without cache. It is already programmed by the so-called 4th Directive, which we first get acquainted with in the film RoboCop. It says that a humanoid robot cannot harm itself or its creators. The rules of Asimov’s robot say that the robot cannot harm a person. Thus, it raises the question: In the exceptional case of undoubted aggression, is it possible to act in accordance with your real resulting personality without the need to limit the means? The answer is yes. This is necessary to protect the neural engine from harm in first aid, such as physical aggression of any kind. But if this aggression is imaginary only because of this set of situations, and the resulting one, which is being forged by intimidation, is unacceptable, it leads to anxiety. Thus, a neural engine has a threshold when it disconnects itself and allows a person to follow the real result. But in most cases it’s just a concern, and it can be avoided with a stochastic selection algorithm, with the help of distribution that will never create a chance of such behavior, otherwise the ports of communication with the server will be completely blocked. The only guide in this process is the smoothing interpolator, which avoids sudden jumps on the stochastic curve. You can be associated with the algorithm and server data. A clean algorithm does not provide the fulfillment of a real person. The resulting server data is necessary to fill human life with the Apple M1 neural engine.