Chapter 311 The Starting Point of Mechanical Life
“The perceptual level is difficult to measure. If we start with data, this question has been answered a long time ago.
I think the reason why you came to me is With the theme of answering Qian Lao's question, this interview program should also be done from a perceptual level.
If we said this in the past, everyone lacked perceptual understanding, and the number and quality of papers were far from ordinary people. Life is too far away, and the daily news is often about technology blockade.
From time to time, I see news mentioning that we need to achieve independence in key technology fields. Doesn’t this mean that we are not yet in these key technology fields. Achieve independence?
This kind of perceptual understanding makes us afraid to talk about how we have answered Qian Lao's question.
Actually in my opinion, I think we solved this problem a long time ago.
At least from a long time ago, in the field of scientific research, I would not say that we have surpassed developed countries in the traditional sense, but at least we have kept pace with them. "
Chen Yuanguang didn't want to talk too much, so he kept it tight and left himself some room. It's not a bad thing after all.
The host's eyes lit up after hearing this, because the interview was The matter itself needs to have room for further discussion. If the interviewee stops talking, it will be difficult to continue with the topic. This interview itself left enough time for them. , it can even be said that there is no time limit.
If Chen Yuanguang said that we are number one and have already caught up with the Premier League and the United States, and then used the data in the paper as an argument, then this topic would be dead.
Therefore, within Yangma, the hosts like to interview Chen Yuanguang, because there is a lot of room for free expression, and he can often make headlines, not to mention that it is also an exposure for himself in terms of national attention.
Everyone needs to fight for opportunities like interviewing Chen Yuanguang.
“Guangshen just mentioned that we have actually caught up with developed countries in this regard very early, and there is a disconnect between catching up and public perception. This is the first time I have heard this view.
Can we start a chat?" the host said.
Chen Yuanguang paused for a moment, considered the language and then said:
“Simply in terms of the capabilities of scientific researchers, scientific research results, and scientific research content, there is no essential difference between us and developed countries except Amerikan.< br>
Our gap lies more in the fact that in modern times, whether it is science, engineering or liberal arts, they all developed from the West, so their biggest advantage lies in this aspect
There are too many. Problems in subdivided fields were pioneered by Western scientists, and the gap between domestic scientific researchers in this field is the largest.
Even if scientists from Dongda University had similar ideas, we lacked resources in the past. To realize the idea
Let’s take a very simple example. Everyone knows that Gao Kun is a senior in our scientific community and won the Nobel Prize in Physics for his pioneering achievements in the field of optical fibers.
His main contribution is to prove the feasibility of optical fiber from a theoretical level and actually promote the development of optical fiber in the field of communication in the future. He is definitely a pioneer in this field.
If he was in China at that time, China would not have the conditions to judge whether his research direction was feasible at that time, because the country was very poor at that time. In the 1960s, if you did these cutting-edge research, you would not see any return. , and I can’t tell exactly what it is used for.
Because even when Mr. Gao Kun was in Amerikan at that time, he was lobbying these glass manufacturers around the world to sponsor his research on new materials for communications.
Even though it took a lot of effort to obtain resources abroad, it was even impossible to do so in China where resources were scarce at the time.
In the early days, the domestic academic field was relatively closed, and it was difficult to have the opportunity to participate in a large number of international academic conferences.
So like Mr. Qian’s question, I think it is fundamentally caused by the lack of resources. Lack of resources means that you have no trial and error costs. Without trial and error costs, innovation is impossible.
I think the fundamental reason lies in resources.
We can draw a formula. Talents need to be cultivated, and innovative achievements require resource investment.
Results are equal to resource investment and innovation model multiplied according to a certain coefficient. When resource investment is insufficient, no matter how efficient the innovation model is or how large the coefficient is, there will be no results.
Talent is also equal to population multiplied by proportion and multiplied by talent training model. The talent training model here will be linked to per capita investment in educational resources, the efficiency of training and screening mechanisms, etc.
The proportion refers to the proportion of the population of appropriate age who are suitable for R&D. It is impossible for everyone to do R&D. Not everyone has the ability and interest in this area.
This is roughly the case, and whether it is the innovation model or the talent training model, these two aspects of our country are learned from foreign countries, and localized transformations have been made based on foreign training models.
If it is really changed to coefficients, there will be no essential difference from foreign countries.
If we stand at today's historical node and ask future generations, it is how to transform this model to make the coefficients of our two areas even greater.
Because resource input will definitely continue to grow with productivity growth, at this time, the growth of other factors becomes crucial. ”
The host is already confused. To be honest, the host who is a liberal arts student only wants to talk from a perceptual perspective. It is best to reflect on why it didn’t work in the past and why it works now.
< br>The narrative logic that Chen Yuanguang breaks down bit by bit is a bit too hard-core, and the host doesn't know how to handle it.
Because to be honest, he has never thought about this development in the past. Asking this country how is their way of thinking
"Then God of Light, what do you think we should do? "The host asked.
Chen Yuanguang shook his head: "It's because I don't know that I hope someone can help me answer it in the future.
How can we improve this talent training model and innovative R&D mechanism so that the coefficients of these two areas can be improved Bring it up?
This is a question I leave to future people.
The current talent training model of the college entrance examination is very fair. I don’t have the ability to come up with a set of principles that does not hinder fairness. , and can achieve a more accurate model of selecting talents.”
The college entrance examination is the most recognized selection method by the people of Dongda.
"As for the innovative selection mechanism, didn't I become a special adviser to the Natural Science Foundation of China in the past and have some power?
I have been criticized by netizens in the past. Some of the projects we sponsored have recently joined forces. A very, very remarkable thing has been made.
Of course, individual cases cannot represent the whole, but it also proves that this kind of research matrix under the leadership of individuals is also effective.
I hope that with the economic development of Dongda University, we can do more model exploration in the future.”
These are too abstract. The host feels that there is no room for him to play, and the audience does not like to watch them. Chen Yuanguang just mentioned. aroused his interest: "Can you briefly tell us what the project is?"
Chen Yuanguang said: "It is a project surrounding artificial intelligence. It is a more subversive discovery than AlphaGo and ChatGPT.
It will greatly change people's understanding of artificial intelligence. I can only reveal There are so many, and you will naturally know more in the follow-up.”
The host is even more curious now. Artificial intelligence is increasingly affecting individual lives nowadays.
It’s quite funny to say that China is a producing country and has no way to stimulate consumption, and the United States is a consuming country and has no way to restore productivity. However, these two most suitable countries are trying to break up.
"Guangshen said that, and now I want to know what it is." The host said.
Because both AlphaGo and ChatGPT have led people into a new era of artificial intelligence. If it is a brand-new technology this time, he is really curious about where human society will be taken.
Obviously, after Chen Yuanguang finished speaking, the number of barrages in the live broadcast rooms of major platforms was growing rapidly.
“Fuck, I’m not going to lose my job, right?”
“I wonder if I haven’t seen the Longyin Party come out to raise their heads on Zhihu recently?”
"Goodbye, our company hasn't even used generative artificial intelligence yet. You have come up with a whole new direction, and the book is about to be opened again."
This is how domestic companies are, what's new? They all rush into hot spots and promote them on the market regardless of whether the technology is mature or not.
It has not undergone strict internal review at all.
"Will it have a greater impact on human society than Malaysia's Hornbill?" the host asked curiously.
Chen Yuanguang thought for a while: "If it is just from a technical perspective, obviously it will, because Malaysia's Hornbill is still essentially an integration of existing technologies.
The project we are doing is a complete subversion of the past from a technical perspective.
It is also a subversion of the scientific research model in the computer field. In the past, there were theories first and then results.
After the results are obtained, there will be more discoveries and some more theories will be derived.
This time we only had a very abstract theory, and then we achieved completely incredible results.
Do you believe in Qigong? "Chen Yuanguang changed the subject.
The host asked: "What kind of qigong are you referring to?"
"It's the kind of qigong that has the same supernormal abilities after being practiced." Chen Yuanguang said.
“Of course I don’t believe it.” The vast majority of people in Dongda are atheists. Even theists rarely believe in this, and the host is no exception.
Chen Yuanguang smiled and said: "What if someone tells you now that he knows Qigong, and shows you how to move objects with your mind in front of you?"
The host said: "I I will suspect that something has been done.”
Chen Yuanguang asked: "What if you check repeatedly and find no signs of his tampering?"
The host guessed what Chen Yuanguang wanted to express: "I will still doubt that this type of qigong exists. , but I will wonder if there is an mechanism that I have not discovered."
Chen Yuanguang stopped and asked: "This discovery is roughly similar to this. Even if we witness the discovery of this type of artificial intelligence, it will still be different. It has been extensively tested and even a physical object has been launched, but the scholars involved still do not believe that it really exists.
The meaning behind it means that we humans will be able to develop real machines in the future. Life.”
Chen Yuanguang’s words shocked the host and the audience watching the live broadcast.
"???" Question marks filled the screen of users watching the live broadcast.
The same goes for the host: "God of Light, mechanical life?"
Chen Yuanguang quickly explained: "I just said that maybe we have found a way to create a true silicon-based life. It does not mean that we have created silicon-based life now.
Perhaps it may take as long as paramecium to evolve from our current starting point to human life.”
After the whole live broadcast ended, Qian Laozhi asked not many people to discuss it, and everyone was discussing what the project was.
Not only were the domestic media sensational, but foreign media were also sensational.
The big guys doing artificial intelligence related research on Twitter rioted after seeing the news reports from the mainstream media.
“Can anyone tell me what exactly Wright discovered?”
“Wright has never published a paper in the field of artificial intelligence before. Can his words really be trusted?”
"Although Wright has not published any papers related to artificial intelligence, judging from the prediction model he constructed for the properties of small chemical molecules, he has considerable attainments in the field of artificial intelligence."
Chen Yuanguang's previously published paper in Nature has been picked up by everyone, trying to pry into the breakthroughs in artificial intelligence technology revealed in his interview this time.
“Hornbill has shocked us enough. Can anyone tell us what Wright did?”
Chen Yuanguang’s credibility is determined. Foreign academic circles generally believe that he really What an amazing thing you made.
Musk’s tweets all asked him to find Chen Yuanguang to find out what the technological breakthrough was.
"Sorry, Wright said we need to wait a little longer to find out what it is."
On Zhihu, computer-related issues are one of the few topics on Zhihu that can still maintain professionalism.
“Does anyone know what the breakthrough in artificial intelligence technology that Guangshen talked about in Yangma’s interview is?”
“Laxative, where is the Longyin Party? You don’t need to come out. When you all come out to say something, please listen to the dragon chant, otherwise you will show up.
When you need to be effective this time, why doesn't anyone from the dragon chant party show up? >
I have been browsing Zhihu and Weibo for two hours, but no one with inside information has come forward to say anything
Can Zhihu restore the anonymity function? You are so scared that the Longyin Party dare not come out. ”
(End of this chapter)