But thankfully, there's still a lot of time left for people to really make a big difference, and there's a gap of years for them to learn a new skill.

As for why there is a window period?

The reason is that the computing power required for artificial intelligence is seriously insufficient, which eventually leads to the problem that related robots cannot be really rolled out on a large scale.

After all, artificial intelligence from text to pictures to video, the demand for computing power is increased geometrically, and the big problem you have to face is that artificial intelligence controls countless engineering robots at the same time......

Therefore, the most fundamental problem that restricts the development of artificial intelligence and even enters the field of industrial engineering production is the problem of computing power!

If the computing power problem cannot be solved, it is almost impossible to eliminate human labor on a large scale.

However, Lin Chen is not pretending to be stupid and not seeing the problem of increasing demand for computing power, in fact, Lin Chen is also prepared at present.

As for how to solve the problem of computing power demand?

At present, Lin Chen has mainly set up three R&D teams and developed three projects at the same time.

The first of these projects is the research and development of the integrated storage and computing chip, which is not a new concept, and the earliest theory can even be traced back to the 70s.

However, due to the three major problems of production cost, too complex production process, and too complex design of the integrated storage and computing chip, the integrated storage and computing chip has not been implemented until 2007.

In the previous life, after the process technology was reduced to a few nanometers, it was more and more difficult for the process technology to continue, and the cost of R&D and construction became higher and higher.

Therefore, at that time, enterprises could only think of ways to solve the endless needs of human beings for computing power.

In this case, the memory-computing integrated chip, which can be compatible with the existing semiconductor system, but can reduce energy consumption and improve efficiency through architecture change design, has entered everyone's eyes.

Among them, this integrated storage and computing chip technology is mainly to break through the limitations of von Neumann's architecture, integrate the operation memory and computing unit through innovative design, and make it a chip with integrated storage and computing, so as to solve the problems of "storage wall" and "power consumption wall".

At this time, Sugon Technology is developing this integrated memory and computing chip technology line, and if this storage and computing integrated chip technology is successfully developed.

So theoretically speaking, if this integrated memory and computing chip can be developed, the energy efficiency ratio will have 10 times the advantage and area efficiency advantage compared with the chips on the market!

And after that, it's the second research project, which is actually a memory-computing integrated chip.

However, this integrated storage and computing chip is a real integrated storage and computing chip, not the product of the above compromise of the current semiconductor industry, and the actual real effect is not up to the 10% efficiency of the real integrated storage and computing chip.

As for why do you say that?

Because the real memory and computing integrated chip is a memory that uses special components, which can both store and calculate, which is similar to the memory of human brain neurons, to build a real memory and computing integrated chip!

Among them, this resistor chip will be jokingly called by netizens in 2023 the foundation of the birth of "Skynet", allowing artificial intelligence to give birth to a black technology of real "consciousness".

For this reason, in 2023, Qinghua University successfully developed the world's first memristor chip, proving the power and prospect of memristor chips, which immediately caused a controversy on the global Internet and many people's worries.

Because the melostat chip is really similar to the synapses of the human brain, and has the same ability to store and compute as the synapses of the human brain.

It is suitable for running an SNN pulsed neural network technology that is exactly the same as the human brain, which is naturally one step closer to the similarity of the human brain, after all, the operation mode of the human brain is the principle of SNN pulsed neural network!

So this memristor chip is really very similar to the human brain, and it can even be said that it is exactly the same, except that one is organic and the other is inorganic.

In this case, using this memristor chip with artificial intelligence technology, it is really possible for artificial intelligence to be self-aware.

After all, the use of a memristor chip is essentially a simulated human brain built from a physical level, which is exactly the same as the operation mode of the human brain.

In this case, adding an artificial intelligence is naturally equivalent to allowing the brain to have a soul, and when the two are combined, it seems possible that it will give birth to self-consciousness.

As for why Lin Chen claimed in the media that the "dawn" of artificial intelligence has no possibility of giving birth to self-consciousness, but now he thinks that the use of memristor chips has the conclusion that artificial intelligence can give birth to self-consciousness.

The reason is that the previous artificial intelligence "dawn", which is essentially an artificial intelligence technology realized through the algorithm level.

No matter how simulated the artificial intelligence built using this algorithm level is, its essence is still 0 and 1 calculated by chips.

At this time, the "silicon brain" and artificial intelligence algorithm were created through the physical level, and the combination of the two naturally had the possibility of giving birth to self-awareness.

Of course, this is only a possibility, in fact, whether Lin Chen can give birth to self-consciousness is not sure, it can only mean that there is a certain probability.

After all, the human brain and even more mysterious consciousness are secrets that humans have not been able to crack for thousands of years, and it is not easy to create an artificial intelligence with self-awareness.

As for whether Lin Chen would destroy the world if he really created an artificial intelligence with self-awareness, Lin Chen still believed in his own control methods.

After this memristor chip R&D project, the next step is the R&D project that really solves the bottleneck of computing power, that is, the quantum computer R&D project.

If the previous integrated memory and computing chip is to solve the short-term computing power demand, then the memristor chip is to solve the medium-term computing power demand, then the quantum chip is to solve the computing power demand in the later stage and even the later stage.

After all, people's demand for computing power is endless, in the era of artificial intelligence and computer development in the previous life.

According to the statistics of relevant authoritative institutions, the demand for computing power of human beings is increasing by 3 times every year, but in fact, with the breakthrough of manufacturing technology, the annual growth of chip computing power is only 1.5 times.

The more serious problem is that with the rapid increase in human demand for computing power, it is estimated that by 2030, 50% of the electricity of the world's power plants will be used for computing power!

In this case, the problem of insufficient computing power and excessive computing power consumption was particularly prominent in the previous life, so the world naturally focused on other lines to solve the increasing demand for computing power.

In the end, memristor chips, storage and computing integrated chips, graphene chips, carbon nanotube chips, biological DNA chips, optical quantum computers, superconducting quantum computers, and ion trap quantum computers have made great progress with the help of those funds and scientific researchers. (End of chapter)