metaverse evolution.
Chapter 159 Upgrade
Chapter 159 Upgrade
The study of mental models is still a process of squeezing toothpaste.
It is necessary to constantly replace formulas, correct parameters, find problems, and solve problems.
This is a process that requires patience, and it also requires huge computing power, not only the computing power of the computer, but also Chu Fei's own thinking ability.
In the virtual space, four thinking models are calculated at the same time; and Chu Fei also needs to observe the four models at the same time and constantly correct them.
This is also a research that requires a solid foundation of knowledge - what kind of formula is needed, how to replace the formula, what parameters to substitute, etc., all require rich knowledge.
Similarly, in this kind of research process, it is also a process of continuous practice, testing one's own knowledge system in practice.
With the calculation, data is continuously screened out and entered into the database.
With the accumulation of databases, the empirical formulas have become more perfect, and even the topological structure has become more abundant.
The entire empirical formula gradually forms a trunk and branches, and the crossing of branches gradually forms a network.
A topological network is gradually formed.
Until now, Chu Fei was startled by the change:
"This is the intelligent neural network system, at least the prototype of a neural network."
After discovering this, Chu Fei looked back to find related technologies and structures of artificial intelligence, and continued to substitute them for calculations.At the same time, we are also looking for similar AI structure references, and even excerpted part of the code to embed in our own system.
The calculation speed of the four thinking models increased sharply, the database accelerated and enriched, and the elementary neural network system spread at an accelerated rate, and began to transform from a flat structure to a three-dimensional structure.
An AI structure is rapidly taking shape.
With the formation of AI, it in turn advances the calculation of the mental model.
The calculation of the mental model also began to accelerate.
After two days in this way, a new and stable mental model structure was established, and the computer completed a verification work spontaneously.
So far, the structure of the fourth generation thinking model has been determined.This is a finer, but more delicate structure.
In the mental model, logical chains and topological structures are criss-crossed. Although it is essentially the core of Euclidean geometric space, the large space is surrounded by small spaces, interlocking and embedded in each other.
The primary thinking model is essentially a regular tetrahedron structure, and each small regular tetrahedron is like a small calculation unit.Numerous regular tetrahedron units are stacked continuously, eventually forming a complex thinking structure.
But this time the behavior of the computer is different from before: Although the fourth generation is confirmed, the computer is still running, and is spontaneously calculating the fifth generation thinking structure.
After glancing at the spontaneously running and initially formed AI network, Chu Fei exited the virtual space, formatted his third-generation thinking model again, and began to build the fourth-generation thinking model.
It still has a dual-core and four-thread structure, but because the structure is more delicate, it took Chu Fei seven hours to construct the mental model, consuming one super potion, four barrels of meat porridge, and one pack of nutritional supplements.
After opening his eyes, a flash of hope flashed in Chu Fei's eyes - the thinking structure should be better this time, after all, AI deduction is used!
Run points to try!
A few minutes later, the running score was dozens of times, and the final running score was stable at: 14077 times/second!
Compared with the 11056 operations per second of the third-generation mental model, the computing power has increased by 27.3%!
Chu Fei really wanted to cheer and scream.
What is exciting is not only the results of the fourth-generation thinking architecture, but more importantly, the technology has begun to enter a state of accelerated iteration.
Chu Fei once knew such a saying: there is an essential difference between the era of computer technology and the era of mechanical technology in the past.
In the era of mechanical technology, a technology needs ten years or even decades of pondering and research before it can be perfected little by little.
But in the era of computer technology, computing power is king. As long as there is enough computing power, technology can be iterated rapidly.Sometimes it can be iterated dozens of times in three to five years, and the technology will be reborn.
Now, I seem to have stepped on the fast train of computer technology with one foot.
After completing the construction of the fourth-generation thinking model, Chu Fei rested overnight, or in the middle of the night after resting, and went out for a run and exercise the next morning, said hello to everyone, checked the inventory, and entered the virtual space again Check progress.
But I found that in just one night, 22% of the deduction of the fifth-generation thinking structure was carried out!
In the thinking space, a progress bar unexpectedly appeared.
This progress bar is derived according to the empirical formula. Although it may not be accurate, it can still be used as a reference.
Chu Fei carefully checked the progress and reviewed the calculation process, and found that there was still a small problem in the automatic deduction of AI, but it was enough to manually adjust the parameters.
Then, continue to substitute more scientific knowledge, mature model structure as a reference, and some experience summaries, etc.
There is also a small problem with the current AI, it does not actively search for relevant knowledge, even if it is in the database.Chu Fei still needs to input manually.
In addition, as the input data increases, the efficiency of the computer begins to decrease.Previously, four mental models were deduced at the same time, but now due to the limitation of computing power, one mental model has to be cut off, leaving only three.
Even so, it still only took five days to determine the fifth-generation mental model structure.
Compared with the fourth generation, the fifth generation is mainly an optimized and streamlined architecture.
Solved the small problems that could not be solved in the fourth-generation research and development process, replaced some additions with multiplications, replaced some complex number sets with combination curves, differentials, probability formulas, or rearranged some messy distribution data , into small data packets.
Under the guidance of this streamlined thinking, the fifth-generation thinking architecture is much simpler than the fourth-generation architecture, but the computing speed has increased a lot.
Chu Fei took a break, formatted his thinking model again, and built the fifth generation thinking model.
Because the fifth-generation architecture was simplified on the basis of the fourth-generation architecture, it only took Chu Fei four hours to build the fifth-generation architecture.
The final running test: 15859 times per second, the computing power increased by 12.66%.
Feeling the continuous increase of computing power, Chu Fei's heart is full of satisfaction, and there is even greater desire:
Is this the thrill of upgrading?
Don't know if you can continue to iterate?
But after logging into the virtual space, I found that the sixth generation thinking structure has only progressed by 2%!
"It's the limit!" Chu Fei understood, "Without the reference of external technology and the input of more technology, the sixth generation of technology will be difficult to produce."
With a sigh, Chu Fei became excited again. "The current mental model is already very good, if such a huge computing power is used to drive spells, what will happen?
I want to rebuild the Wind of Perception, Butterfly Transformation, and Refining Magical Artifacts! "
(End of this chapter)
The study of mental models is still a process of squeezing toothpaste.
It is necessary to constantly replace formulas, correct parameters, find problems, and solve problems.
This is a process that requires patience, and it also requires huge computing power, not only the computing power of the computer, but also Chu Fei's own thinking ability.
In the virtual space, four thinking models are calculated at the same time; and Chu Fei also needs to observe the four models at the same time and constantly correct them.
This is also a research that requires a solid foundation of knowledge - what kind of formula is needed, how to replace the formula, what parameters to substitute, etc., all require rich knowledge.
Similarly, in this kind of research process, it is also a process of continuous practice, testing one's own knowledge system in practice.
With the calculation, data is continuously screened out and entered into the database.
With the accumulation of databases, the empirical formulas have become more perfect, and even the topological structure has become more abundant.
The entire empirical formula gradually forms a trunk and branches, and the crossing of branches gradually forms a network.
A topological network is gradually formed.
Until now, Chu Fei was startled by the change:
"This is the intelligent neural network system, at least the prototype of a neural network."
After discovering this, Chu Fei looked back to find related technologies and structures of artificial intelligence, and continued to substitute them for calculations.At the same time, we are also looking for similar AI structure references, and even excerpted part of the code to embed in our own system.
The calculation speed of the four thinking models increased sharply, the database accelerated and enriched, and the elementary neural network system spread at an accelerated rate, and began to transform from a flat structure to a three-dimensional structure.
An AI structure is rapidly taking shape.
With the formation of AI, it in turn advances the calculation of the mental model.
The calculation of the mental model also began to accelerate.
After two days in this way, a new and stable mental model structure was established, and the computer completed a verification work spontaneously.
So far, the structure of the fourth generation thinking model has been determined.This is a finer, but more delicate structure.
In the mental model, logical chains and topological structures are criss-crossed. Although it is essentially the core of Euclidean geometric space, the large space is surrounded by small spaces, interlocking and embedded in each other.
The primary thinking model is essentially a regular tetrahedron structure, and each small regular tetrahedron is like a small calculation unit.Numerous regular tetrahedron units are stacked continuously, eventually forming a complex thinking structure.
But this time the behavior of the computer is different from before: Although the fourth generation is confirmed, the computer is still running, and is spontaneously calculating the fifth generation thinking structure.
After glancing at the spontaneously running and initially formed AI network, Chu Fei exited the virtual space, formatted his third-generation thinking model again, and began to build the fourth-generation thinking model.
It still has a dual-core and four-thread structure, but because the structure is more delicate, it took Chu Fei seven hours to construct the mental model, consuming one super potion, four barrels of meat porridge, and one pack of nutritional supplements.
After opening his eyes, a flash of hope flashed in Chu Fei's eyes - the thinking structure should be better this time, after all, AI deduction is used!
Run points to try!
A few minutes later, the running score was dozens of times, and the final running score was stable at: 14077 times/second!
Compared with the 11056 operations per second of the third-generation mental model, the computing power has increased by 27.3%!
Chu Fei really wanted to cheer and scream.
What is exciting is not only the results of the fourth-generation thinking architecture, but more importantly, the technology has begun to enter a state of accelerated iteration.
Chu Fei once knew such a saying: there is an essential difference between the era of computer technology and the era of mechanical technology in the past.
In the era of mechanical technology, a technology needs ten years or even decades of pondering and research before it can be perfected little by little.
But in the era of computer technology, computing power is king. As long as there is enough computing power, technology can be iterated rapidly.Sometimes it can be iterated dozens of times in three to five years, and the technology will be reborn.
Now, I seem to have stepped on the fast train of computer technology with one foot.
After completing the construction of the fourth-generation thinking model, Chu Fei rested overnight, or in the middle of the night after resting, and went out for a run and exercise the next morning, said hello to everyone, checked the inventory, and entered the virtual space again Check progress.
But I found that in just one night, 22% of the deduction of the fifth-generation thinking structure was carried out!
In the thinking space, a progress bar unexpectedly appeared.
This progress bar is derived according to the empirical formula. Although it may not be accurate, it can still be used as a reference.
Chu Fei carefully checked the progress and reviewed the calculation process, and found that there was still a small problem in the automatic deduction of AI, but it was enough to manually adjust the parameters.
Then, continue to substitute more scientific knowledge, mature model structure as a reference, and some experience summaries, etc.
There is also a small problem with the current AI, it does not actively search for relevant knowledge, even if it is in the database.Chu Fei still needs to input manually.
In addition, as the input data increases, the efficiency of the computer begins to decrease.Previously, four mental models were deduced at the same time, but now due to the limitation of computing power, one mental model has to be cut off, leaving only three.
Even so, it still only took five days to determine the fifth-generation mental model structure.
Compared with the fourth generation, the fifth generation is mainly an optimized and streamlined architecture.
Solved the small problems that could not be solved in the fourth-generation research and development process, replaced some additions with multiplications, replaced some complex number sets with combination curves, differentials, probability formulas, or rearranged some messy distribution data , into small data packets.
Under the guidance of this streamlined thinking, the fifth-generation thinking architecture is much simpler than the fourth-generation architecture, but the computing speed has increased a lot.
Chu Fei took a break, formatted his thinking model again, and built the fifth generation thinking model.
Because the fifth-generation architecture was simplified on the basis of the fourth-generation architecture, it only took Chu Fei four hours to build the fifth-generation architecture.
The final running test: 15859 times per second, the computing power increased by 12.66%.
Feeling the continuous increase of computing power, Chu Fei's heart is full of satisfaction, and there is even greater desire:
Is this the thrill of upgrading?
Don't know if you can continue to iterate?
But after logging into the virtual space, I found that the sixth generation thinking structure has only progressed by 2%!
"It's the limit!" Chu Fei understood, "Without the reference of external technology and the input of more technology, the sixth generation of technology will be difficult to produce."
With a sigh, Chu Fei became excited again. "The current mental model is already very good, if such a huge computing power is used to drive spells, what will happen?
I want to rebuild the Wind of Perception, Butterfly Transformation, and Refining Magical Artifacts! "
(End of this chapter)
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