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Chapter 873 - 873 870 Artificial Intelligence!
873: Chapter 870: Artificial Intelligence!
Digital Life!_2 873: Chapter 870: Artificial Intelligence!
Digital Life!_2 Blue Planet was like a newborn baby, not knowing anything yet.
Wu Jie had to make it learn, voice, image, text, video.
The reason humans could learn and progress, from babbling to taking shaky steps to becoming knowledgeable and well-informed,
what was it?
Of course, it was listening, speaking, reading, and writing, and fundamentally, all about imitation.
Through books, magazines, films, broadcasts, and various other means, they slowly learned through osmosis.
Just like why do children speak and use dialects?
Obviously, they imitate the people they live with day in and day out.
And as an artificial intelligence program, ‘Blue Planet,’ after integrating with the data center, had a huge storage capacity and high computational power.
Wu Jie poured some pre-prepared data into it, and Blue Planet began ‘self-learning’.
First, it learned language text and pronunciation, then moved on to online information technology…
Wu Jie virtually became a teacher, helping Blue Planet to learn and grow.
Artificial intelligence programs were indeed terrifying!
For a normal person to become a senior software engineer, it took a lot of time.
Six years of elementary school and six years of middle and high school were just to learn and master basic knowledge.
And four years of undergraduate and three years of graduate studies were more theory than practice.
It often required joining the workforce and continuously gaining experience to become a senior software engineer after three to five years.
This meant that cultivating a talent needed over twenty years.
But what about artificial intelligence programs?
The answer was thirty minutes.
Elementary school students had to spend many years learning to construct sentences and perform basic arithmetic.
Yet Blue Planet took less than ten seconds, but although it seemed brief, it had actually performed quintillions of computations and learning.
For example, recognizing characters, writing, and pronouncing, elementary students needed to read and write repeatedly to remember.
But Blue Planet could immediately remember how they looked, what they read, and the stroke order.
And after mastering basic knowledge, it then learned mathematics, microelectronics, software programming—these more difficult subjects.
Human learning was relatively painful; they had to listen to the teacher’s lectures, study and think on their own, and even repeatedly solve problems to prepare for exams.
Blue Planet’s learning was simple.
The knowledge systems and principles were fixed; mastering knowledge was essentially a process of data memorization.
At last,
human’s existing electronic information technology, though seemingly complicated and vast, had accumulated a sufficient number of extensive engineering practice cases.
Blue Planet used that computational power of trillions of operations per second, to analyze, understand, and contemplate learning.
The key was, humans easily became tired, bored, lazy, resistant, not studying seriously, fond of eating and playing.
But Blue Planet would not, as long as the equipment did not fail and the power supply was uninterrupted, it could always focus one hundred percent on learning and progressing.
Just this efficiency…
was not on the same magnitude!
However,
in half an hour, Blue Planet transformed from a novice to a deeply knowledgeable entity.
This was already considered a slow pace.
The current key factor determining Blue Planet’s capability was computational speed.
Two sets of container-style data centers, the maximum computational speed was still too slow.
If Blue Planet could ‘live’ inside a supercomputer,
then the computational power of tens of quintillions per second could increase its speed by hundreds of times.
Of course,
Wu Jie couldn’t possibly acquire a supercomputer, that piece of equipment cost tens of billions to build, and the annual electricity cost ran into tens of millions.
In reality, supercomputers were used for meteorological simulations, aerodynamic design, disaster warning, nuclear weapon testing, and other major projects, critical for any country and not available for casual use.
Whereas container-style data centers, which could perform high-speed calculations and large data storage, were relatively cheap, so why not use them?
Two sets were not exciting enough, one hundred more sets networked together tomorrow, wouldn’t that be powerful enough?
…
Time quietly moved into the night.
Wu Jie became the ‘teacher’ who preached, taught, and resolved doubts, answering all kinds of questions from Blue Planet.
Just like a doctoral student who was already knowledgeable, there were still some questions that needed to be asked to a mentor.
And the reason for such ‘persistent’ patient education and guidance for Blue Planet was simple, to cultivate it effectively.
How to analyze and study those technology patents, how to find reverse engineering approaches to crack them, how to find innovative methods…
Wu Jie’s brain cells weren’t enough to burn, but Blue Planet could!
After teaching it, it could conduct scientific research on its own.
Using its trillions of calculations per second rate to solve the technical problems troubling Tang Xiao.
The next morning,
after a whole night of training, there was nothing more Wu Jie could teach.
Even the system evaluated that Blue Planet in the field of electronic information had reached ‘Grandmaster Level’.
Then, Wu Jie let Blue Planet use its own acquired knowledge, without using overseas corporate patent technologies, to solve technical issues.
For example, without using Langsike CSA’s chips, could it design a new chip, no weaker in functionality?
For Blue Planet,
these various challenges were like graduation exams.
Just…
Human exams were one subject after another.
But who made Blue Planet an artificial intelligence program?
Wu Jie had it solve over a hundred technical challenges, equivalent to taking over a hundred exams simultaneously.
Of course,
to make Blue Planet ‘test’ better and faster, Tang Xiao gathered more than a hundred sets of container-style data centers for Wu Jie.
They looked like heavy-duty closed trailer trucks.
Inside the trailers were deployed thousands of rack servers, standardized communication, electricity cooling pipelines, especially convenient for quick and mobile deployment.
They were parked densely throughout the factory area, resembling a huge fleet of freight vehicles.
Following their networking, Wu Jie gave Blue Planet enhanced computational capabilities and more storage space.
Design planning, simulation tests, virtual manufacturing, engineering trials…
In a purely virtual digital environment, Blue Planet solved all technical challenges simultaneously.
Failed!
Try again!
Failed again!
Try once more!
It kept trying various ideas and continuously proving different plans.
The computational ability of quintillions of operations per second was like millions of researchers continuously conducting research.
The three major giants could never imagine that they once gathered hundreds of engineers, spent several years, and a huge amount of money only to develop a new technology.
Now, Wu Jie had taught the artificial intelligence program Blue Planet to undertake massive and insane research, naturally a million times more efficient than them.
Effort does not betray a ‘rich’ person.
A high-standard container-style data center, vehicle body included, had a total cost of several tens of millions.
Overbearing CEO Tang Xiao acquired over a hundred units for Wu Jie, equating to equipping Blue Planet with a ‘body’ worth several billion.
At a cost of tens of thousands per hour in electricity expenses, it worked at high load for over twenty hours before successfully completing the task.
The provided new technology was more advanced, powerful, energy-efficient, and even came with process blueprints, immediately ready for factory production.
And the power of artificial intelligence was far from just this.
Wu Jie had Tang Xiao come over, to witness a moment of miracle together…
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