

Language

English

News

Homepage

/

News Information

/

In this environment of survival of the fittest, AI companies should implement their own values in a down-to-earth manner.



Search

Confirm

Cancel

There is currently no information to display

In this environment of survival of the fittest, AI companies should implement their own values in a down-to-earth manner.

Categories:News Information
Author:
Origin:
Time of issue:2019-03-07 09:48
Views:

(Summary description)Making a car is a matter of burning money, especially unmanned vehicles. There are still many technical problems to be solved in order to be put into production. The scene is too complicated, and the

News_list





In this environment of survival of the fittest, AI companies should implement their own values in a down-to-earth manner.

(Summary description)Making a car is a matter of burning money, especially unmanned vehicles. There are still many technical problems to be solved in order to be put into production. The scene is too complicated, and the

Categories:News Information
Author:
Origin:
Time of issue:2019-03-07 09:48
Views:

Information

Making a car is a matter of burning money, especially unmanned vehicles. There are still many technical problems to be solved in order to be put into production. The scene is too complicated, and the current algorithm is not fully unmanned.

Although the machine is getting better and better on a specific task, it obviously does not produce general common sense reasoning ability. The machine doesn't reach the same level as humans, it only recognizes objects better and better, nothing more.

The machine is basically still under our control. Calculating “mistakes” may lead to death, just as people die in autonomous driving and medical automation.

Last year, Uber's self-driving car crashed into a woman crossing the road. Later investigations showed that the autopilot software first mistakenly identified the woman as an unknown object, then a car, and finally a bicycle. The woman was finally killed.

Waymo boss, the autopilot leader, personally admitted that autopilot cars will be popular on the road for decades, and Silicon Valley co-founder Steve Wozniak even more bluntly said, "Autonomous vehicles can't be realized in the near future, I don't believe it. Driving a car automatically."

Capital comes quickly and goes fast, and there is still a long way to go before it can be realized.

AI itself has no bubbles, AI ventures have bubbles

Today's new outlet artificial intelligence, the valuation of some startups has reached billions of dollars, the industry has already surpassed the original Internet.

Some insiders believe that at present, there are four major bubbles that affect the development of artificial intelligence:

Technical bubble: Artificial intelligence is a cross-disciplinary, applied-oriented discipline with high professional thresholds and few real knowledge.

Capital bubble: There are too many capitals, too many concepts, and the gulf can be seen, but everyone is watching.

Commercial bubble: Many artificial intelligences are now pseudo-intelligence. Most enterprises don't know how to use intelligence and data to serve customers and create value.

Valuation bubble: It is not difficult to estimate the value of hundreds of millions. The hard part is how to find profit points. Most of the artificial intelligence is still in the stage of technical tools, and there is still a distance from the platform and productization, and there is no revenue.

In view of the professional threshold, there are very few people in the field of artificial intelligence who understand both technology and industry, resulting in a generally high salary in the industry.

Recently, Hu Yu, president of the board of directors of the University of Science and Technology, said in an interview that the (industry) master's degree is 400,000 and the doctoral degree is 800,000. You have to work in the industry for 2 years and have worked for more than five years. Better, you can get 2 million annual salary. If it is the original dean of the Institute, the number of people is five or six million, and some of our company's salary is indeed higher than ours as the president.

Capital’s expectations for AI are too high, and the value of AI talents is bound to rise, and this part of the cost will be passed on to AI companies. Hu Yu said that some companies are thinking about how to cut these people because they are too expensive. .

If there is investment, there must be a return. Hu Yu said that the artificial intelligence company can't make money now. Everyone talks about making money and making less money. In fact, there are not many companies that make artificial intelligence companies can make money. It is a bubble.

Artificial intelligence companies under the capital bubble are moving forward. At present, the homogenization of artificial intelligence enterprises is serious. Some enterprises have no real innovation and just follow the trend blindly. “Squeezing the bubble and catching the pain point” is the only way out for AI enterprises.

In this environment of survival and the fittest, AI companies should be down-to-earth, cultivate internal strength, strive for progress, use data and use technology to find a better way to commercialize, better serve users and realize their own value.

Scan the QR code to read on your phone

Previous: In this environment of survival of the fittest, AI companies should implement their own values in a down-to-earth manner.

Next: None

Previous: In this environment of survival of the fittest, AI companies should implement their own values in a down-to-earth manner.

Next: None

There is currently no content to display