In order to live in seclusion, I tricked my roommate into falling in love

Chapter 708 Look at this double-edged sword.

Capital is not charity.

Brother Qiang also explained to Zi Xiaowei that China actually started planning in this area very early, and had already caught up with the international pace in discipline construction in the 1950s.

Therefore, there is no such thing as overtaking on a curve. All current achievements are actually the result of years of accumulation of research and development in various disciplines.

Scientific research is a real waste of money, and after many years, some scraps may be used in practical areas.

Of course, starting early means having a high academic status and a lot of influence, and even if you invest a lot of R&D capital, you won't get any good results.

Therefore, while the overall situation is good, Jiangzhou, as the country's largest intelligent new energy vehicle production base, is used as a practical field testing site.

Jiangzhou University, which ranks around 30th in the country, also excels in the field of industrial automation, so it has a corresponding foundation.

Brother Qiang chose the United Nations to invest heavily, and with Zi Xiaowei's previous foundation in the Automotive College and other areas, it would be easier to attract talents from all walks of life.

Sixty percent of Jingxi Industry's shares are in Chang Yueling's hands. In fact, it is the sales of Zi Xiaowei and the production scale of Lao Chang, plus the various industrial talents in production line management, product design, etc. trained by Jiang'an, Gaohe and even Dream Auto to form an "expert team".

Manufacturers and enterprises in any industrial field can be transformed and upgraded using a consulting approach.

The 40% stake held by Brother Qiang, in addition to his own intelligent warehousing and robot manufacturing team, is used for capital operations. He can empower the company when necessary and inject capital to revitalize it.

But in fact, his real share is less than 40%.

Just as Dai Anni said casually, funding is not a big problem for the top internet celebrity team, not to mention there is a super cash cow like Changjiang Automobile.

The peak turnover of Jingxi Mall was one trillion yuan, but its actual profit margin was only two or three percentage points, relying on the capital market to bring in large amounts of funds.

On the other hand, the internet celebrity media organizations here seem to have a turnover of hundreds of billions, but it’s basically all profit!
On the other hand, it is not restricted by the capital market and people can spend money more freely.

Therefore, the better this situation is, the less say Brother Qiang has.

Because the value and experience of Zi Xiaowei and his expert team will increase rapidly with each fierce battle.

This time, among the dozens of external teams of Dream Car, only seven or eight people were sent by Brother Qiang, and they could basically not get involved.

After all, his intelligent warehousing system can only be used to undertake the entire spare parts system of Dream Car. Applying it to the production lines of a few sub-brand models is simply an overkill.

Therefore, Brother Qiang is still very keen to improve his technical content to ensure that he accounts for 40% of the four links of "sales + production + technology + capital" of Jingxi Industry.

Otherwise, you will be left behind and squeezed out sooner or later.

That's why I spend so much money.

Zi Xiaowei, of course, welcomed it with open arms. He first passed the news to the school leaders in person, and immediately contacted the leaders of various majors in the School of Engineering and Technology to set up a group. He also asked Zhou Linpeng to go over and help set up a foundation office.

It was at this time that I saw that the self-media group, Totoro Auto, and Dream Auto R&D group were all @historically saying that Leading Auto had a series of accidents.

Zi Xiaowei did not feel any gloating mood, he just frowned as he read the news.

Every car company will have car accidents, but mechanical problems can be solved with sufficient testing. This is why it used to take two or three years to develop a new car. Only after accumulating enough tests and debugging can they dare to launch it into the market.

But with the involvement of modern technology, a large number of tests can be put into computers. The consequences of the current high-speed operation of this mechanical combination and continuous operation under complex road conditions can be calculated using servers.

For example, in the past, the wear and tear of a certain part would only occur after tens of thousands of kilometers, causing a major disaster. Now, a bunch of high-computing servers can calculate the result in a few days.

Not to mention chassis tuning, which is a highly technical job for veteran craftsmen. Using a computer to calculate is much more reliable than experience.

But smart driving cannot be calculated in this way.

Although both are in Pengzhen, the engineers of Dream Car are exposed to different things than Zi Xiaowei and his colleagues.

Someone mentioned in the group that in fact, several domestic companies that emphasize intelligent driving technology currently have this mapping problem.

Simply put, it means that a certain test road section is first modeled and mapped using various high-intensity technologies in advance, and then the car is put in to drive, and no matter how complex it is, it can be handled with ease.

It’s almost like marking the key points before the exam... No, it’s more like letting the AI ​​memorize the answers directly.

Of course I hope I did well in the exam.

Therefore, many public demonstrations of intelligent driving, advertising campaigns, and media coverage are based on pre-built maps. A certain brand in Pengzhen also does this.

Even before the media test, they would ask where the test would be conducted and then scan the entire surrounding area first.

Then some people joked about the entire Greater Bay Area. Two areas were unlucky: Hong Kong was too narrow, and then there was Xiangshan. The crazy road construction and the crazy electric motorcycles there were simply the nemesis of intelligent driving.

Therefore, accidents often occur when temporary construction on the road destroys the "answer", or when there are sudden and unruly situations around.

Everyone in the industry knows what's going on.

When the technology that works in a local test area is expanded to the vast and ever-changing real world, there will definitely be various unexpected situations that do not follow the rules.

No matter how powerful the intelligent driving is, it must have a sensitive and quick response process, but too sensitive a response may lead to misjudgment.

In short, there are still many problems, which require a lot of research.

Either AI technology continues to accumulate and learn, and technology also improves the response speed of equipment, or the thinking is changed, indicating that the current idea of ​​intelligent driving is wrong.

This is typical Internet thinking.

But we choose to push it directly to the market in large quantities so that consumers can help AI accumulate and learn.

The results will appear before your eyes.

Brother Qiang exchanged a few pleasantries with the school leaders in the group. Noticing Zi Xiaowei's stunned expression, he took the phone and immediately understood: "There's a high probability that their technology will have a major flaw..."

Zi Xiaowei immediately came closer to ask for advice.

Brother Qiang has been dealing with Cheng Dazui for many years. He started out by selling digital products, and all of Cheng Dazui's peak achievements were basically achieved in Jingxi. After all, it is far ahead of the most expensive mobile phone in the country, so it is definitely more reassuring to buy it in Jingxi.

"They lead the nation in annual research investment and possess the largest and strongest research capabilities. So, their plan is essentially just a bunch of engineers and rules..."

He used his phone to simulate on the coffee table in front of him, "The principles of autonomous driving are nothing more than three modules: environmental perception, decision-making and planning, and control execution. Whether using a laser sensor, camera, or radar, it all starts with seeing, then calculating and deciding on acceleration, deceleration, avoidance, or braking, and finally execution. It's like seeing, thinking, and doing for us humans. Which one is the most critical and the most challenging?"

Zi Xiaowei must be a top student: "Of course it's decision-making and planning. This is the core of intelligence. How to collect and execute it is actually very simple."

"Yes, that's the problem. First, can the car computer react quickly? If there's even a slight delay between the three steps, a car accident will occur. These reactions are all within milliseconds, and there will always be a delay in the transmission of information between the three modules. There's also the possibility of data loss during the transmission process, which can pose some safety risks."

Brother Qiang is indeed an expert in this area: "Secondly, the environment is changing rapidly and the amount of computing required is enormous."

He pointed to the photo of the car accident on his phone and said, "If you're in industrial manufacturing, you know that early automated factory material carts followed control lines on the ground. This was very basic and simple because the environment was simple. But radar detection, laser head detection, and camera detection on the road collected a huge amount of information. The most important thing is that lane markings, traffic lights, and traffic regulations all have to be integrated into the calculation. The entire process becomes increasingly complex, and the thinking and decision-making becomes increasingly complex."

Zi Xiaowei could hear it all: "So their method of constantly piling on rules is to add water when there's too much flour, and add flour when there's too much water?"

Brother Qiang picked up his phone again. "I've been to Citibank frequently over the past six months. Tesla has changed its approach. Instead of going so complicated, it uses large-scale modeling technology to learn how people drive from vast amounts of driving data, identifying driving patterns and directly applying AI learning technology. For example, I'll drive the same way you did last time. If you slow down at an intersection, I'll slow down too. I'm simply learning how experienced drivers drive, rather than relying on a set of rules. Whether this technology is effective remains to be seen, but at least it's opened up a new path in traditional thinking."

But here comes the key point, his capitalist side comes out: "Why waste money on scientific research? If you make a mistake, just change your thinking and treat the previous investment as a lesson. But businesses can't do that. With so much investment up front, the products, equipment, and system buses are all based on this idea. Should we recall everything and replace the hardware? The greater the initial investment, the higher the hardware cost. The better the product, the more difficult it is to do. What can we do? Most companies can only choose to bite the bullet and continue because they can't afford to start all over again."

Zi Xiaowei could understand, just like he had never taken Wei Lai seriously when it came to several new car manufacturers. Even the first new energy vehicle that Dai Anni parked on the ridge was the Wei Lai, which sparked Zi Xiaowei's interest in new energy.

But it was put on the market in 18. The battery swap technology, which was probably finalized ten years ago, was a good idea because there were not many charging piles at that time, the charging time was too long, and the battery capacity was insufficient.

It has become useless now, and it makes less and less sense for consumers to pay for the huge cost of the battery swap network.

Companies still have to bite the bullet and move forward.

The joke of telling stories to beg for food at the end of each year has spread throughout the industry.

"But... Old Cheng and his team can still handle it with their technical strength, right?"

Brother Qiang thought about it and nodded: "I also believe they have the ability, but the prerequisite is to do a lot of testing and improvement."

That's a lot of traffic accidents accumulated.

Because the tests that should have been done within the company are now being strongly promoted for listing, they have to bear the lethality of this double-edged sword.

(End of this chapter)