Because it uses a brain-computer interface chip that has both 'information input' and 'information output' functions.

The electrical signal information sent by the brain-computer interface chip through electrodes will be the same as the electrical signal information sent by human organs, making it impossible to distinguish between true and false.

Any movement in your brain will be fed back to the external computer in the form of brain waves. In this way, with the input and output of information, you can naturally construct an extremely realistic virtual world.

Even if it is further developed, Lin Feng can use this system to create terrifying knowledge indoctrination technology.

After all, the process of human learning knowledge is essentially the generation of electrical signals by neurons in organs such as eyes, ears, and mouth, which are then transmitted all the way to the neurons in the brain.

After receiving the corresponding electrical signals, the neurons in the brain will connect to other neurons through synapses, then transmit the electrical signals, and finally form a neural pathway.

These neural pathways, or short-term memories, will be stored in the hippocampus. If they are reviewed repeatedly in the future, the neural pathways will become more and more stable, and the brain will remember them for longer and longer periods of time.

So when humans learn a subject, a skill, or a field of knowledge.

In essence, it is about shaping neural pathways in the human brain, connecting different neural nodes together, and deepening and strengthening their connections through review.

In this case, since the brain-computer interface chip can generate electrical signals, the brain can see and hear virtual images, sounds and even five senses simulation.

Naturally, this technology can be used to repeatedly run the neural pathways generated by the brain, thereby achieving the effect of knowledge inculcation or repeated learning to enhance memory.

The difficulty of developing this knowledge infusion technology may actually be much easier than creating a virtual world and achieving the brain in a vat plan.

Because human senses can perceive so many details, the taste of food alone is too varied.

To achieve an effect that is exactly the same as reality, making people feel as if they are in a brain-in-a-vat state, completely unable to distinguish between the real and fake virtual worlds, this cannot be accomplished in a few years or even decades.

It can be said that this is a century-long project, because the world is so big, the electrical signals of just one food flavor are diverse, and how many flavors are there in the world?

It is too complicated to convert all the images, smells, tastes, sounds, touches, etc. of the world into virtual electrical signals.

Even if the technology for analyzing the electrical signals of human organs is developed, the huge electrical signals sensed by the body's organs can be analyzed and the same electrical signals can be repeated.

But the actual improvement will not be much faster. As I said before, the world is just too big.

So in reality, it is easier to develop knowledge infusion technology than to build a huge virtual world like a brain in a vat.

Of course, it is not enough to simply make the neural pathways of newly learned knowledge run repeatedly to achieve the goal of forcibly memorizing the newly learned knowledge.

Although this knowledge infusion technology can theoretically allow people to learn to read and write simple English in a week, some things cannot be memorized by force.

For example, many ordinary university and college students today may have university or college degrees, but in fact their work ability is quite worrying.

The reason is that they have only been instilled with a lot of theoretical knowledge, but they have not really mastered that knowledge.

The reason for this is not only the scarcity of teaching equipment per capita, but also their lack of practical experience.

When teaching, universities and technical colleges in the United States emphasize practical hands-on skills, and the things used in hands-on experiments are often the latest on the market.

Therefore, the practical ability of college students and junior college students in the United States is really strong. Although they may not have as comprehensive a grasp of theoretical knowledge as students in China, they are all experts in practical work. With the knowledge they have mastered, they can become high-quality industrial workers after entering the factory after graduating from university.

Unlike Daxia, who mastered a lot of theoretical knowledge and seemed to have comprehensive knowledge, but when he went out into the society to look for a job.

You will find that a lot of the knowledge you have learned is useless and the knowledge you have mastered is far behind the society. You need to relearn to make up for the shortcomings of insufficient practical hands-on experience.

As for which teaching model is better, each has its own advantages and disadvantages.

The American empire's practical teaching model allows students to quickly become high-quality workers or scientific research backbones after graduation.

The disadvantage is that because you specialize in one technology, you can only do this type of work in the future, unless you teach yourself other technical skills after graduation.

Daxia’s model focuses on comprehensive theoretical knowledge. If you don’t do this job, you can do other similar jobs after graduation.

Although your practical skills are poor, you can make up for it by learning practical experience from the company.

Some things sound good, but in reality many companies do not give you the opportunity to gain practical experience.

Because when they recruit fresh graduates, they actually prefer those who have stronger hands-on skills and more practical experience.

After all, such people can be hired to work as soon as they are hired, and because they are recent graduates, you can exploit their labor and pay them less.

Therefore, if companies are given the opportunity, they will naturally choose recent graduates with stronger practical skills.

Rather than those recent graduates who seem to have mastered a lot of theoretical knowledge, but look confused when it comes to actually putting their hands into practice.

Of course, if you ask Raymond Lam which one he wants?

Lin Feng’s answer is definitely both. It is best for the fresh graduates to have rich and comprehensive theoretical knowledge and strong practical skills.

Today's knowledge infusion technology combined with the virtual world can achieve this.

Knowledge infusion technology can make the neural pathways of newly learned knowledge run repeatedly, achieving the special effect of photographic memory, thereby mastering vast and comprehensive theoretical knowledge in a short period of time.

The disadvantage is that although you have mastered a vast and comprehensive theoretical knowledge, theoretical knowledge is ultimately theoretical knowledge, not practical hands-on experience knowledge.

The virtual world can make up for this. After all, in reality, it is not easy for you to have a lot of practical opportunities to accumulate experience.

For example, if you are a student majoring in automobile maintenance, you have learned the knowledge about direct injection engines.

Because your future career direction is the automobile repair industry, after you have mastered the structural principles of the direct injection engine, you can roughly infer which part may be broken.

But this so-called rough inference is actually quite unreliable, because you don’t have that much time to dismantle them one by one and check them.

Moreover, it is not easy to dismantle the engine for parts inspection. The engine is so complicated that removing one part often requires removing a lot of other things, and some parts require the engine to be lifted off.

So you can't really dismantle all of them to check the parts. At this time, you need to rely on practical experience. You need to narrow down the scope of the faulty parts based on your practical experience. (End of this chapter)