As a mage, I just want to pursue the truth

Chapter 101 Optimization of Heber's Algorithm

Li Miaomiao continued: "Being a beggar? Being a homeless person is also a life experience. Why don't you experience it?"

Zheng Li explained: "What you said can be collectively referred to as a lack of resources from a logical level, and the difference is only the degree of lightness and severity."

"And how do you know I haven't experienced it?"

When he just graduated from the Mage Academy, Zheng Li only got a salary of a dozen magic stones, and it would take more than half to buy basic research materials, let alone magic experiment materials.

Fortunately, the mage alliance covers the basic survival needs of all registered mages, which can support Zheng Li's early accumulation of knowledge.

Li Miaomiao asked: "You received an investment of 5000 million before you graduated, and you are worth more than [-] million. When you were in college, you made tens of thousands by teaching others, and you are basically the richest group of people in your age group." .”

"If that's resource starvation, it's a bit of a Versailles."

Zheng Li showed nostalgia, "That was a long time ago."

In fact, your sense of accomplishment and satisfaction will be stronger in the stage of primitive accumulation of capital than in the subsequent snowballing period. 1 becomes 2, and the growth rate is 100%, while 110 becomes [-], and the growth rate is only [-]%.

It’s like the fact that the older you are, the faster time passes. When you are young, the year you grow up to be one year old is a fraction of your life span, and when you grow up to one year old, the year you grow up to be one year old is a few tens of your life span. one-third.

Li Miaomiao couldn't understand Zheng Li's pretended deepness: "You never suffered when you were young, right? Your parents are civil servants and you are the only child, so they will definitely not treat you badly."

"I went to your house during Chinese New Year last year, and expressed condolences to your parents on behalf of the company." Li Miaomiao quickly explained.

Zheng Li changed the subject and said, "How many days do you plan to stay in Lion City this time?"

Li Miaomiao: "I'm going to sort out the company's structure until I stay a few years ago."

Zheng Li: "Okay, you can consider whether our AI R&D center should be located in England or the Lion City. At least there must be an office in England in the early stage. If we can't acquire it, we will recruit people."

Li Miaomiao nodded: "I feel that our acquisition this time should have been leaked."

"Although the company's valuation and profitability are high, the composition of its members is still too complicated. It is only now that we really realize what is the foundation. Our talent source relies heavily on rice and social recruitment."

"At first, I thought that the news leaked this time had something to do with rice, but it was IDG and Goldman Sachs who participated in secondmind, which dispelled my doubts."

"In the past few years, we have to cultivate a group of talents who have grown up from school recruitment, and gradually replace the previous middle-level and even executives."

"This incident made me realize that our actions need to be concealed as much as possible, and then we will build a separate company through a multi-layer structure to poach people, not directly in the name of science and technology."

Zheng Li nodded: "I believe in you, just do what you need to do to train and recruit talents. In addition, it is not easy to find people with a start-up company. High-end talents depend on the background of the company. It is difficult to find high-end talents if it is just a start-up company. .”

Li Miaomiao: "Then we can recruit people from colleges and universities with high prices, and we can properly disclose the company's background when we recruit people."

"My dad has been a teacher for so many years, and at least he has some contacts. I can find some trustworthy people through him. The office in England is completely composed of newcomers."

"Before this incident, I didn't want to involve my dad's relationship. After all, the company is your company, but now I can only recruit talents through my dad's contacts for a mid-term transition."

Zheng Li doesn't care. To him, the science and technology innovation is just a tool to mobilize social resources, not his wealth: "Okay, you can try it."

Li Miaomiao asked: "When will you return to China?"

Zheng Li: "Probably still a while, about a year."

The distance from Kuala Lumpur to Huaguo is too far. If you want to control the physical body far away in Gusu, there will be a delay. Even a delay of tens of milliseconds will look strange to the naked eye.

Li Miaomiao's tone dropped: "Okay."

There was joy in a building in faraway California. Simmons had been working on the optimization of the Haibo algorithm during this time, in addition to assisting Pfizer in the screening of specific drugs.

The Magic Brain optimized Simmons' logical thinking and the associative ability of the underlying neurons.

The most important thing in mathematics research is the association ability in the subconscious mind. Can the methods you have seen be connected in the subconscious mind to form a new method to solve mathematical problems in the subconscious mind.

(The mathematical problems here refer to the problems in the field of basic mathematics at the doctoral level. High school mathematics and college mathematics can completely form a set of methods in the brain through practice.)
It can be said that Simmons alone can also say that he led the team to solve the Haibo algorithm (the solution here refers to optimization).

"The professor's demeanor has not diminished in the past. I can vaguely see how you were able to answer all the questions at Stony Brook." The researchers around Simmons were his students when he was teaching at Stony Brook.

Simmons is also not humble: "It's still old. If I had a magic brain when I was young, it wouldn't bother me for almost a year."

"If it is changed to the current year, it will take half a year at most."

The researcher licked wildly: "In fact, it only took ten months. You must know that you have been engaged in quantitative investment in the financial world for so many years, and you have to pick up cutting-edge mathematics research again, which is equivalent to starting to learn again. This time is already amazing!"

"You must know that people like Terence Tao and Wei Teng are not progressing as fast as you."

Simmons served the officials, and they were the best informed.

Simmons proudly said: "After all, I am also their predecessor. The body can be old but the mind cannot be old."

"What we can do has been done, and the rest is left to astronomers and computer scientists. They need to find suitable galaxies and develop suitable algorithms to calculate."

The optimized Haibo algorithm is equivalent to only observing galaxies that may have life, and then substituting the galaxies into the optimized Haibo algorithm for calculation, and judging the results obtained, whether the galaxy has a cosmic coordinate system that meets the conditions .

That is to say, each planetary system is regarded as a mine, and the optimized Haibo algorithm judges whether gold can be dug in the mine.

If the galaxy meets the conditions, then the planets in this galaxy can be calculated one by one, and the coordinates that specifically satisfy the Heber algorithm can be calculated.

As for whether the exact coordinate system of the planet can be found, it depends on the ability of astronomical observation and the distance of the galaxy from the blue star.

That is to say, the country that develops the optimized Haibo algorithm first can dig mines closer to Blue Star, and the country that develops the Haibo algorithm later can only dig mines farther away.

Mines with far distances may have to be verified through calculations one by one, and mining will only become more and more difficult.

(End of this chapter)