After the layoffs, I became a tech godfather

Chapter 264 "Cloud Vaccine"

What can AI do? The person who proposed the concept didn't know. Just like the person who invented the internet couldn't have imagined the internet world we have today.

All these concepts, such as large models and intelligent agents, are confined to a limited framework, which can be summarized in one sentence: non-responsible agents.

However, Hao Cheng's statement about the new 3D chip and 3D data, combined with the distillation model of micro-consciousness, aims to break through this point.

Thinking of this, Cao Song's eyes became even more fixed, wishing he had two more pairs of eyes to watch every corner of Linzhou University—the "Responsibility Model," the word "responsibility" carries immense weight.

The responsibility here cannot be simply understood as who is responsible when problems occur.

For example, the responsibility for L3 and even L4 level conditional autonomous driving is clearly defined. Whether it is the driver, the OEM, or the operator of the driverless taxi, it is a completely different matter from the "responsibility" that Hao Cheng is talking about now.

Thinking of this, Cao Song sighed and glanced at Hao Cheng again: Give AI more power and let the AI ​​model take charge.

"This is the future of humanity, the future of ordinary humans." Cao Song tilted his head, and in just a short while, his understanding was overturned beyond recognition, no less than when he first saw Xiao Sha.

"So, this is the true meaning of delegating power!" As if seeing through Cao Song's thoughts, Hao Cheng also took a sip of water and concluded, "You should think about it carefully when you get back; this is also a kind of wisdom."

"Baiju Technology is getting bigger and bigger, and you are finding it increasingly difficult to manage the things you are in charge of now. Personally speaking, if there is an opportunity for advancement, I would definitely be on your side. So, you should move up."

Does Cao Song want to move up in rank?
If he hadn't met Hao Cheng in his life, at best he would have been a junior programmer, and whether he could even find a job after the age of 35 would have been a problem.

However, he has now reached the level of a prospective director at Baiju Technology.

Looking upwards, it's not true that I don't want to.

However, he knew his own limitations. Moving forward was no longer a matter of knowledge, skill, or ability, and Xiao Sha couldn't help him now.

To put it bluntly, Xiao Sha is currently just an AI that "solves problems," but it lacks "depth" and "big picture" perspectives.

Besides, he never intended for Xiao Sha to do these things—solving specific problems is fine, but expecting an AI to have a high level of understanding and a broad perspective is simply absurd.

Now, everyone says that Xiao Sha is very strong, extremely strong, the strongest in the world, but this is based on comparison with other AIs. If it is compared with humans, the comparison objects are the masses, the general public.

Even if Xiao Sha surpasses 80% of the people, it won't make a difference, because it is always the remaining 20% ​​that drive the world forward.

"Actually, the difference between people isn't that big; the difference lies in whether they get the opportunity," Hao Cheng said to Cao Song, taking a moment to speak as he watched Xiao Sha's test at Linzhou University proceed smoothly.

"The people who can govern a country are those who are talented enough to govern a county. Look at the Ming Dynasty, the people from the same hometown as Zhu Yuanzhang who started his career. And Huawei, when its revenue was 100 billion yuan, and now its revenue is over 1 trillion yuan, the top leaders are the same group of people."

"Who's better than whom? That's not true. As long as you put someone in that position, there's nothing they can't do."

Hao Cheng was obviously encouraging him by saying that it's impossible for everyone to be a hopeless case when given a job. There are indeed many people who are hopeless and can't do anything right, but he himself was certainly not one of them.

"Hmm." Cao Song nodded heavily, realizing that the company was dragging him down.

Talented individuals are rare, but reliable and trustworthy talent is even rarer. Baiju Technology will continue to expand its operations.

The application of the "responsibility model" is also developing in two extreme directions. One direction is the macro-level "overall situation" and "trend" decision-making direction that we see now.

Another direction is the "responsibility model" of microscopic, even cellular and molecular, nanoscale AI hardware. And right now, the Key Laboratory of Rheumatology and Immunology at the Affiliated Hospital of Linzhou University is conducting experiments in this other dimension.

The working mechanism of the immune system is actually quite simple.

Leaving aside non-specific immunity, it mainly comes from the rapid response of physical barriers such as skin and mucous membranes, which isolate external viruses, bacteria, etc.

What's being done in the lab is an artificial intelligence replacement program for specific immunity, also known as acquired immunity.

Even most people who don't understand medicine and have forgotten all their high school biology lessons know about "vaccines".

Its working mechanism is also very simple: after a virus invades the human body, the human immune system will work, and through lymphokines, macrophages, and cytotoxic T cells, it will work together to exert immune function.

However, this process is completed through three stages: sensing, reaction, and effect, which is relatively slow, and the human body will produce various symptoms of "illness".

However, during the entire reaction process of the first life, the immune system retains memories, and some lymphocytes are transformed into memory cells.

If the same virus (antigen) invades the human body a second time, these cells will activate all processes and directly produce antibodies to prevent the same disease from recurring.

The effect of vaccines is roughly the same, except that the virus in vaccines is inactivated. This tells the immune system that this is a "bad thing," allowing the immune system to form a memory, while at the same time avoiding the pathogenicity of live viruses.

At this very moment, an experiment is underway in this key laboratory, titled "A Cloud Vaccine Based on AI Dynamic Recognition of Universal Nanorobots."

In the past, a vaccine could only target one type of virus (antigen). Furthermore, RNA viruses are single-stranded and prone to mutation, so a vaccine that is effective today may become ineffective tomorrow.

Just like the novel coronavirus a few years ago, it can mutate into tens of thousands of branches of all sizes in a month.

The immune system remembers this one, so the infection next month might be a completely different version.

"Cloud Vaccine, what an interesting name!" Shi Na, the project leader, deputy director of the Key Laboratory of Biological Sciences at Linzhou University, and doctoral supervisor, looked at her work with great pride.

As the name suggests, a "cloud vaccine" means you don't need to actually get vaccinated.

For example, when various variants of the novel coronavirus, such as Delta Omega, appeared, Xiao Sha immediately became familiar with their characteristics.

When it invades your body, it will immediately notify nanobots to clean it up.

Previously, the steps for the human immune system to clear viruses were: invasion - incubation - infection - destruction - confrontation - clearance or death.

Now it has become a two-step process: infiltration - if it cannot hide, it will be directly eliminated by nanobots.

"Teacher, the topic we received is not this, but the complete replacement of the human immune system by the AI ​​immune system. In other words, any harmful thing that invades the human body must be reacted to and eliminated immediately."

"Now, the virus database also needs to be updated in the cloud. The AI ​​won't recognize the viruses from before the update."

"This is the next challenge: to give AI the ability to make rapid and accurate judgments."

(End of this chapter)