293 In front of pseudo-strong artificial intelligence, there are paper tigers!(1/5)

Wang Yufei talked eloquently, in exchange for Ge Lingyue's more complicated expression.

Purely from the demand level, if Wang Yufei said that these can be realized, although Changxiang Technology is still very weak, it can be the ultimate in grasping the psychological and physiological needs of customers.

This does have the capital to fight against those large enterprises for a long time.

The reason is simple.

When all electronic devices are not equipped with the brain-computer chips and corresponding software of Changxiang Technology, they cannot meet the needs of social interaction, whether it is for system vendors or hardware vendors, it will form a kind of reverse coercion.

This is like if Penguin Group, Xiaoliba and even more software providers announce at the same time that Alipay, Penguin Chat, WeChat, Big Cat, and Mibao are not supporting the IOS system, can Apple still maintain its existing sales in China?

Disputes can then be resolved through negotiations.

Even in a sense, we can only watch Changxiang Technology grow all the way.

But the crux of the matter is ......

Why do Wang Yufei confidently say these functions, in Ge Lingyue's view, are tantamount to telling about the possible living conditions of people in science fiction a hundred years later?

The brain-computer chip alone had already surprised her.

The initial function of co-production has already made her feel that the future potential of Changxiang Technology is limitless.

If it can still achieve what Wang Yufei said.

This can no longer be described as leading scientific and technological progress, it can be said to have subverted an era.

Let the electronic products that accompany people directly progress from artificial intelligence disability to the era of medium or even strong artificial intelligence.

And this is actually what world-class technology companies including Apple, Google, Microsoft, Weihua and other world-class technology companies have been hoping to do, and have been working hard, but have not been able to do.

So when Wang Yufei stopped to introduce, Ge Lingyue did not continue to discuss whether Changxiang Technology had the confidence to declare war on companies like Intel and AMD, but asked directly: "Boss, are you confident that you can make Hepao achieve the functions mentioned above?"

Wang Yufei nodded and said, "Of course, I have this confidence." The framework of co-production, as I mentioned before, first relies on the triggering function of the brain-computer chip, and then has its specific algorithm. ”

"Actually, when I proposed to develop this software, Yu Xin suggested that I add the machine chat function to the software, and an idea had already germinated in my mind. That's why we can't give machines personality traits and emotional traits. ”

This also involves the question of how human emotions of love and hatred and acquired personality are generated, which can be said to be a problem of brain growth and functioning, but it can also be reduced to a problem of machine simulation and deep learning. ”

"And then I thought, is it possible for us to personalize machines through a technology? The answer is yes! Actually, Google has gone to the front in this regard, but their deep learning theory is used in playing chess with people, which is a branch of deep learning, allowing machines to give full play to their own computing and logical sorting capabilities. It's not about emotional ability. ”

"So I took my thinking to the other side, how to make machines emotionally capable through deep learning, and when machines are really emotionally capable, what can they do?"

"After simplifying my thinking, I found that this contradiction can actually be solved through a mathematical theory. Well, by the way, Mr. Ge, do you know Hilbert's tenth question?"

Ge Lingyue nodded blankly and shook her head again.

In fact, from conceiving the function of a software to a mathematical problem, the logical line in the middle has made Ge Lingyue, who is from a technical background, feel that his brain is a little insufficient.

Although she had an impression of Hilbert's twenty-seven questions, it would be really out of her mind to recall the specific questions involved in the tenth question in this case.

"The tenth question is the solvability of the infinitive equation, which is simply described as an integer coefficient indefinite equation with any number of unknowns, and requires a feasible method to be used to determine whether the equation has an integer solution through finite operations. ”

"To solve this problem, we need to study mathematical logic and computable theory, as well as algorithm precision. Of course, this problem has proven to be unsolvable. ”

"But I want to extend this new problem, if a machine will judge a mathematical problem under hypothetical non-human manipulation and cannot be solved by exhausting computing power, but it has a reason to solve this problem, when faced with a dilemma, what choice will it make, and what is the logical basis?"

"If it has to be more true, this will lead to another math problem, the NP complete problem!"

"Is it possible to break down a known problem into a number of simple steps in any case, so that you can get a quick answer? ”

"Fortunately, with the help of Yu Xin, I have done a lot of research on these mathematical problems, and even more fortunately, although I can't solve this ultimate mathematical problem, but by thinking about these problems, I have developed an algorithm that can be multi-dimensional selective, which I will call the machine selection uncertainty algorithm or chaos algorithm, which will be the core part of the co-production software and even the next generation of brain-computer chips. ”

"I won't elaborate on the specific theory, the significance of the existence of this algorithm is that it can be used with the help of deep neural network learning algorithms, through the uncertainty of choice, and with the help of brain-computer chips, by collecting and learning the brainwave fluctuation characteristics of human beings in different emotional states, simulating the character and emotion with human characteristics, and after enriching its language function, it is enough to realize the human-computer barrier-free emotional communication I described. ”

"You can think of it as a technology that sits somewhere between strong AI and intermediate AI. Because with this algorithm, all the emotional output of the machine is simulated. ”

In other words, it is a chat mode of different people through mobile phone co-production, as well as evolution through machine-machine data exchange, which is essentially a product of the big data model, although it looks very smart, but there is still a gap with the definition of strong artificial intelligence that is truly self-aware, but this gap is no longer perceptible to ordinary people, and it can perfectly pass the Turing test. ”

"That's the basis for what I say is the ability to achieve all of the above. If Mr. Ge still has doubts, at the latest in a week, I will be able to make a simple small program through this algorithm for you to experience first. Of course, because it is a small program, the growth is naturally not comparable to that of the co-production, but it is enough to convince you. So Mr. Ge, do you have the confidence to lead Changxiang Technology to continue to follow our strategic goals?"