Xueba's computing system

Chapter 253 The Continuing Storm

What surprised Lin Yuan even more was yet to come. His move to open source all of Tesla's food delivery algorithms was so shocking that he not only gave up huge business interests, but also completely offended all foreign investors.

Tesla is an overseas company after all. Although Tesla food delivery was started by Lin Yuan, and Musk had promised him that everything about Tesla food delivery would be decided by Lin Yuan.

However, neither Musk nor Lin Yuan anticipated that Tesla's food delivery business would achieve its current scale and influence. For the overseas capital behind Tesla, it was natural for them to regard Tesla's food delivery business as something that could be easily accomplished.

Therefore, Lin Yuan's sudden opening of the source of income has become a major international business dispute that is difficult to explain, and it is likely to be involved in the level of state relations, because overseas investors are worried that the Dragon Country authorities are interfering behind this.

But Lin Yuan was actually very naive. He just wanted to break the barriers of the food delivery industry, but he accidentally got involved in an international dispute.

After Zhang Yan's retelling, Lin Yuan finally understood the core of this international dispute. Many people were worried that the business rules between Dragon Eagle were being broken. Even though there had been constant disputes in the field of commerce in recent years, unlike the stupid bear in the north, the conflict between Dragon Eagle was based on rules.

The contradiction between Longying and the United States is manifested in a trade war. What is a trade war? It is a war in the field of trade when both sides do not want to completely overturn the table. Even if this dispute seems fierce, behind it is the mentality of both sides who do not want to completely tear each other apart for the time being.

On the other hand, there is no trade war on the side of the bear. The eagle and the bear directly confiscate each other's assets. The dispute between the two is a matter of no rules and the truth is revealed.

Precisely because of this, Lin Yuan’s move can easily be interpreted by some people as a precursor to intervention in trade disputes, which will naturally make many foreign investors tremble with fear.

Only then did Lin Yuan understand why he had to go to such great lengths to protect himself and at the same time give himself such a great honorary title.

After a thorough investigation, it became clear that the technology used by Tesla Takeaway had nothing to do with Tesla, or even foreign capital. In other words, Tesla Takeaway was just using the Tesla name, and the actual technical work was completely led by Lin Yuan.

But the most troublesome thing here is that Lin Yuan had already transferred the intellectual property rights of Tesla's core "AI manager" algorithm for food delivery to Musk. In fact, Lin Yuan open-sourced an algorithm that does not legally belong to him.

This operation is a complete leak of information in business, but Lin Yuan really didn't think much about it. Because for him, transferring the ownership of the algorithm to Musk was a gentleman's promise, and he and Musk both knew that the algorithm was actually created by Lin Yuan alone.

Therefore, Lin Yuan had no psychological burden about open source. He even discussed it with Musk in advance, and the latter was very supportive of him.

Because now this algorithm ostensibly belongs to openai, and openai is going further and further away from its original purpose due to its complex equity structure, so much so that it is nicknamed "closeai" because it is not openai at all.

Lin Yuan could sense some of Musk's frustration, because this was increasingly contrary to his original intention of founding companies such as Tesla and SpaceX, but he could do nothing about it.

Therefore, Musk was very happy to see Lin Yuan's determination to open source the algorithm, and he also paved the legal way for Lin Yuan to open source it.

Musk asked Tesla's legal department to prepare sufficient documents to prove that the "AI manager" algorithm actually uses and borrows a lot of open source software. In view of the license pollution of open source software - those who use open source must also follow open source, so it is legally justified to open source this algorithm.

In Musk's own words, "OpenAI has spent $200 billion, and I don't know how much more it will cost to see profitability. Everything here is too inefficient, Lin, you know, although the flash of inspiration from 0 to 1 is rare. But we don't have the ability to 1 to 100 here, which is really frustrating.

I increasingly find that no matter how good the design is, it seems that we cannot solve the production problems here.

So I've had enough. I wanted to convince these people here with your Tesla food delivery success story, but they are completely obsessed with pure software products. They still like to play with concepts with light assets. I don't know what the future will be like.

Our financial strategy dragged everything down. When huge profits can be made by relying on financial products that do not generate value, the threshold is raised. The top profits in other industries must also reach the level of the financial industry. Otherwise, why don’t the smartest people go into finance? "

Lin Yuan understands Musk's helplessness. The smartest minds on the other side of the strait have plunged into the financial industry. What's more frightening is that after the profit margins of the financial industry spread to other industries, the executives in the AI field will also have to compare their salaries with those in the financial industry.

If the income gap between the two industries is too large, people can't help but think about a question - why bother with general AI, why not develop specific quantitative trading AI software around financial transactions.

However, this type of AI tool specifically used in the financial field is obviously not enough to tell stories, nor can it support a huge trillion-level industrial chain in the future.

So in the end, they had to accompany the crown prince to study, and other high-end industries also raised their labor costs. As a result, OpenAI has spent 200 billion dollars and has not seen any hope of profit.

If Tesla can no longer catch up with the latecomers in the electric car field, it at least retains the title of a pioneer. In the field of AI, openai, a flower bud that has not yet borne fruit, makes Musk feel a sense of crisis that it may wither at any time.

Because the efficiency of the Eagle Country is too low, and the AI big model is an emerging field that does not require a huge industrial chain.

Manufacturing electric cars requires a large number of supporting companies in the upstream and downstream supply chains. It is impossible to establish all these companies before starting to manufacture cars. This also involves a lot of problems such as the cost issues brought about by economies of scale.

However, there is no huge supply chain system in the AI field. At most, there are GPU computing cards plus a large number of algorithm engineers. Although NVDIA is far ahead in GPU computing cards, there has never been a precedent in human industrial history where a competitor was blocked by a single type of equipment.

To give a very simple example, the total market value of companies in all links of the electric vehicle supply chain is definitely much larger than that of the giant NVIDA.

Scaling and cost control are much more difficult to solve than one or two technical problems. This is counterintuitive. People often think that the jewel in the crown of industry is so dazzling, but making a lighter at the lowest cost is itself a very powerful art.

When this scale and cost-effectiveness advantages are reflected in all links of the manufacturing industry, the cumulative advantages far exceed those of one or two high-tech technologies.

Especially for the field of AI, the updates and changes in this field are too fast and the variables are too great.

Even though Dragon Eagle has a gap of two or three years in the field of AI, everyone knows that even if Eagle Country is given thirty years, it will not be able to rebuild its manufacturing system.

A sharp sword cannot defeat a well-organized army. That's the reality.

This is also where Musk is helpless.

In fact, Musk already understood it the moment Tesla rose to prominence relying on China's energy production.

The storm stirred up by Lin Yuan is still continuing.

(End of this chapter)