Artificial intelligence or artificial retardation?

this is a problem.

In the past two decades, artificial intelligence technology has gradually been deeply integrated with computer technology and the Internet.

Thanks to the development of the four major catalysts of large-scale parallel computing, big data, deep learning algorithms and human brain chips, as well as the reduction of computing costs, artificial intelligence technology has advanced by leaps and bounds.

It takes advantage of the development opportunities of computers and the Internet, aliased as business intelligence, data analysis, informatization, automation, etc., and penetrates into every corner of social development.

On the one hand, the promotion of the Internet has created many application scenarios for artificial intelligence, reflecting its real value.

On the other hand, the upgrade of computer software and hardware has provided artificial intelligence with powerful computing power. Algorithms that could only be realized in theory before have been implemented, allowing artificial intelligence to create miracles in more and more events, even surpassing humans.

But in practical applications, the most criticized aspect of artificial intelligence is that it cannot reflect intelligence.

Many people have divided perceptions of artificial intelligence.

On the one hand, the media continues to report on what new achievements artificial intelligence has achieved. Various foreign celebrities have warned people to be wary of the development of artificial intelligence. Artificial intelligence has been included in my country's development plan and other big news.

On the other hand, there are always reports of autonomous driving accidents in the news, smart furniture at home acting like retarded people, and information platforms always stupidly pushing the same type of news...

These phenomena make people wonder, where is the intelligence of artificial intelligence?

Just like the incident where a driverless car accelerated and crashed into an overturned large truck.

Because the truck roof reflects white light, causing the unmanned vehicle's camera to have a blinding reaction. Without any information, the AI ​​​​will not react. It may even give a wrong conclusion, mistaking it for a smooth road, and an accelerating attack.

Go up.

Moreover, "reflective" things are inferred based on the accident process after the traffic accident, rather than conclusions drawn directly by AI.

AI will not tell you, "The reason why I bumped into you was because I was careless and didn't dodge."

There is also artificial intelligence in transportation, which can only accurately identify traffic lights, but cannot identify advertising posters on buses. It directly frames the celebrities on the posters, thinking that they ran a red light.

There is also a website whose smart recognition pictures directly identified black people as gorillas. They were sued for racial discrimination and almost triggered a zero-dollar shopping campaign.

The working principle of this image recognition technology is to turn patterns into digital codes, then find features from these digital codes, search the "dictionary", find the corresponding explanation and then display it.

In fact, the computer has no idea whether it is a black person or a gorilla. It is just that the "dictionary" tells it that this feature has a high probability of corresponding to the word "gorilla".

Most algorithms are essentially playing probability games. The only difference is the information required during model training and the calculation method of determining the corresponding "gorilla".

All currently widely used well-known models obtain a certain probability distribution through matrix operations on training data.

The probability distribution of complex models is usually high-dimensional, and various mathematical methods will be extended here, but the essential idea is still to describe the characteristics of the training data through probability distribution.

With these, the same probability distribution can be used to describe similar data, thereby achieving the so-called "identification" or "prediction".

In fact, it is not that the model really understands what a "gorilla" is like humans do, but in this way, the model can recognize pictures that look like certain targets with a high probability.

Many people now divide artificial intelligence into strong artificial intelligence and weak artificial intelligence.

Among them, strong artificial intelligence is the "legendary" artificial intelligence. Many people even pursue the idea of ​​​​making computers possess human minds and consciousness, and have autonomous choices.

However, the research of strong artificial intelligence is difficult, and there are no mature applications on the market.

Weak artificial intelligence is more like a tool to solve specific problems.

The characteristic of this type of problem is that experience can be summarized and solutions can be formed through statistics, and this method of solving problems is called "machine learning".

And the more accurate the data, the better, and the simpler the data, the better. Once the data becomes fuzzy and the complexity increases, it will immediately change from weak artificial intelligence to artificial retardation.

For example, quantitative trading, facial recognition and AlphaGo are all machine learning models that are good at a single aspect.

When training the model, technicians only taught Alpha Dog the skills to play Go, so it could only play Go.

If you throw a math problem to it, it will immediately become confused.

Just like the current visiting delegation members, they are also a little confused.

Most of the visiting group are technicians. Even those who are not technicians have carefully studied practical technology information. Some technicians' research fields are somewhat intertwined with artificial intelligence, and they all know some knowledge about artificial intelligence.

They have never seen such awesome artificial intelligence.

Intelligence comes... It's not a question of whether it's strong or not, but it's very special. Anyway, it's not weak at all. I haven't heard of it being mentally retarded so far.

Li Wei just said to prepare a vehicle, but did not say how many people there were. Yulai actually prepared such accurate vehicles. How did the company's management AI determine the number of people in the corridor?

Why are the employees passing by not included?

However, there weren’t enough people with relevant majors this time, and this was still a topic for next time’s cooperation, so they didn’t say much.

However, when the vehicle was moving, Li Wei gave a brief introduction.

"There are not many auxiliary management AI functions at the company level, but it is like the lubricant in the machine. It can fully lubricate the various joints of the huge machine and make the machine run more smoothly."

"For example, the cars we are riding in now were originally just ordinary park patrol cars. We have modified them, but they are still regular unmanned cars, even simpler than the unmanned cars in the world."

"But it doesn't matter, it doesn't have enough capabilities on its own. We can add the assistance of Yulai. Yulai controls all the company's cameras, so the unmanned vehicle can not only identify the route by itself, but Yulai can also use the company's cameras to help it provide additional information."

information."

"Look at the screen on the car," Li Wei pointed to the screen on the car and said, "The picture here was taken by the vehicle itself, and the picture next to it was provided by Yu Lai."

"There is a corner in front, and many employees are walking towards it. For the vehicle, the employees at the corner appear suddenly, which is a great test of the emergency handling ability of the vehicle AI. If it is not handled well, a car accident will occur."

"But with the help of artificial intelligence, the vehicle already knows that someone is coming, so it can make the correct response one step in advance to avoid a car accident."

"It is very helpful for overall coordination within the company..."

While talking, the electric car took them to the R&D department, and as soon as they entered the R&D department, they saw Li Future directing an "Iron Warrior" to walk.

"Don't move anything. Just treat it as paralyzed and let the machine take you away."

"But I left involuntarily! Consultant Li, I'm not paralyzed, but my legs just don't obey the instructions of my brain. He has his own ideas."
Chapter completed!