Gu Wan, in principle, does not want to cooperate deeply with people in the capital world.

But since I can't finish it, I'm not interested, and I want to build an artificial intelligence open-source algorithm that benefits all mankind by the way, then cooperation is inevitable.

In this case, he must give priority to choosing an entrepreneur who has a dream and a sense of social responsibility, but is not interested in money itself, to cooperate.

Jackhouse is such an entrepreneur, so after the two got to know each other a little better, they had a good chat.

Gu Play directly offered the price.

"To work with me, I have three conditions. If you can't do it, then I'll let everyone do their own thing, who thinks that the field of artificial intelligence is worth smashing resources, smashing it yourself, how much can be done, I will stay out of it, my biggest shortcoming is not greedy. Gu Play said it very bluntly.

"Tell me about your conditions. "Jack House didn't overwhelm people because his net worth was at least dozens of times more than Gu Play.

Gu Wan: "First of all, I need 2 billion yuan, not debt financing, nor technology shares, what I want is the payment of technology transfer fees." ”

Jackhouse: "However, in the field of artificial intelligence, you don't currently have the technology that you can 'transfer'. Some of the technologies are either applied in the field of autonomous navigation and autonomous driving, and we don't need them.

Or, even if I pay for the algorithms and ideological achievements that are not protected by the law, any other third party can directly plagiarize them, and if I go to the lawsuit, the third party is not afraid of me. ”

Gu Yu waved his hand: "I know, I don't have anything to transfer, I just mean this, I don't know so much French and French." ”

Ma Yiyi, who was assisting in the negotiation on the side, hurriedly spoke up and took over the problem that was stiffened by her husband with low emotional intelligence: "Mr. House, don't worry, what we Gu Dong is talking about is actually 'scientific research commission fee'. In other words, how many follow-up R&D tasks in artificial intelligence can be outsourced to us.

We can also provide you with a talent training program for artificial intelligence engineers, which is also included in this fee. Although the law does not protect ideas and algorithms, the speed of division and multiplication of talents is restricted by the speed of education and research. We estimate that in the next 5 years, qualified AI development talents will still be very scarce. It's entirely possible to control the global pace of technology by controlling the source of talent. ”

Although people can't buy and sell, they can sign high confidentiality clauses and sky-high liquidated damages for job hopping, as long as the division and proliferation of skills has not spread to the number of artificial intelligence engineers in the world, then it is possible to control it before.

Therefore, although people cannot buy or sell, they can "deliver".

Outsourcing scientific research commissions and exclusive limited-time talent training in exchange for a large amount of cash flow seems much more reliable.

Jack House thought for a moment: "Isn't there a legal risk in this matter? How high is the 'transfer fee' that you have signed? Can you suppress the proliferation of job hopping? Why do I think it won't work?"

Ma Yiyi smiled: "Mr. House must have stayed in Silicon Valley for a long time, and he has confused the laws of Oceania with the domestic situation." China's law allows the signing of ultra-high 'transfer fees' and confidentiality penalty clauses, and there is no upper limit. Moreover, all our procedures have been moved to China. ”

On the planet, the reason why Google did not control the division and proliferation of talents very thoroughly back then was the damn law of the Yankees.

In California, in order to encourage technological competition and prevent monopolies, California law provides that non-compete penalties that in fact result in restricting the spread of technological progress are invalid.

Google has been involved in this law many times, citing many of Google's ultra-high non-compete penalty contracts, which restrict the flow of talent in Silicon Valley.

So, in the United States on Earth, even if you find a new field where "when I define this science and technology discipline, all the people in the world who know this skill are my students or employees, and they have signed a high enough non-compete fine", you can't eat alone for three or five years by keeping people captive to death.

This additional California law specifically states: "If a person has only one craft to earn a living, he must be allowed to use that craft to earn a living." In the judicial practice of this law in California, the legal interest level is higher than the legal interest level of non-competition.

In reality, in 2012, Google's machine vision engineer violated the non-compete agreement and jumped to the point where he had to do face recognition. Later, the engineer's lawyer helped him prove in court that "he doesn't know anything other than machine vision" and escaped Google's lawsuit. Of course, in practice, you must hire a good lawyer to help you prove this. The details of the specific legal sophistry are very professional, so I won't say much about it.

In addition, California law not only makes it easier for tech bulls to change jobs at the labor-law level, but it also actively encourages scientists to betray.

For example, in 2011, the California government personally sued Apple, Google, Intel and Adobe on the grounds that the four companies secretly formed a tacit understanding and did not poach each other's technical personnel, resulting in the salary level of technical personnel not being fully evaluated, affecting the income of workers.

The lawsuit lasted for 3 years, and in 2014, Google officially lost the lawsuit, and the four companies were of course not satisfied, and filed an appeal on the grounds that "the treatment and options for scientific and technological personnel are high enough", but the result was even worse At the first trial, the four companies were originally sentenced to pay $324 million in compensation, and after the appeal, they lost again, and the compensation reached $415 million

(The compensation is in the form of benefits and funds, and is distributed/apportioned to all skilled people in the relevant field in Silicon Valley, because the cause of action in this case is considered a labor tort.) The reason why the California government came forward to find trouble was that you didn't dig each other tacitly, which led to inadequate salary increases for employees. Therefore, the government has no right to use the money from the fines, and can only spend it on the labor security of scientific and technological personnel. ）

In good conscience, Gu Yu has always felt that this law of the Yankees on the earth is not good.

The good thing about it is that all new ideas and explosive technologies can be developed as quickly as possible, rather than eating alone and studying them behind closed doors. (This is also to lure start-up companies with good ideas and good technologies to accept venture capital in order to run faster, otherwise if they can slowly develop on their own funds, financial capital will not penetrate the stage where the value-added growth is the fastest.) ）

But it has also led to the evil result of Silicon Valley culture, "what humans want is a flying car, but Silicon Valley only gives people 140 characters". Because we can't eat alone very poisonously, it is impossible to engage in the ultimate super-large innovation that destroys the world, but only engage in micro-innovation.

At this point, the eastern country on the blue hole star is very good, the non-compete penalty clause here is very serious, at least it can give people who create a new scientific discipline the opportunity to eat alone, so everyone is willing to engage in super innovation, not to force technology to be a dog for capital.

Therefore, the cooperation between Gu Play and Jack House is not only to do what Google has done in the field of artificial intelligence over the years.

He even asked to do better than Google.

Because the system of the Eastern countries is much superior to that of the Oceanic countries.

Oceania is not a science and technology-based law, but a financial law, and Oceania is just a financial dog. No matter how well Oceania whitewashes its own dishes, it is still just a financial dog country.

From the very beginning of Hamilton's establishment, every pore has flowed with the sordid black blood of protecting the vested interests of finance.

"Well, in principle, I accept an offer of $2 billion. After all, Jackhouse is a socially responsible entrepreneur, and after weighing it, he feels that this one-time payment is still more reasonable.

Don't look at the business that Gu plays, the capital that has been smashed so far is only forty or fifty million US dollars, but these results, according to the valuation of technology venture capital, a navigation company alone, worth hundreds of millions of US dollars, there must be, and other AMS businesses are not very valuable, but the drone business is worth at least two or three billion US dollars.

That is to say, if Gu Play accepts venture capital, someone will throw 2 billion US dollars at him, and according to the current scale and achievements, at most about 30% of the equity of Hanhe Technology after the capital increase.

The value that artificial intelligence can create in the next five years in other applications other than the field of autonomous driving and automatic control will definitely be more valuable than the current drone company of Guwan, and it may be worth several times.

The $2 billion negotiation is all that remains for the latter two conditions.

Gu Wan continued: "Second, I ask your company to fully devote itself to the research of general algorithms for machine learning, including the optimization of algorithm efficiency, and open source this part of the general algorithms in the future. This part is because there is no financial interest, so I don't want shares.

In addition, in order to ensure that early adopters have enough computing power to train machine learning capabilities, we should establish a joint venture cloud computing company to provide the world's first computing power outsourcing. This cloud computing company, we want to have a percentage of the technology in it. ”

Jack House didn't think much of this and agreed in principle.

Open source is not open source, in fact, it is a generous gesture, even if he wants not to open source, the law does not support it.

If the supply of talent can be controlled for at least five years, then spending money on algorithmic efficiency can at least ensure that the first five years are benefiting him.

After five years, let your followers and peers have some soup, and forget it.

Gu Wan put forward the last request: "My wife and I hope that in your head office, a total of 2% of the shares, and other early artificial intelligence technology backbones, a total of 1% of your company's total equity." This 3% will be used as your company's subsequent leadership in the field of artificial intelligence to bring all the value-added returns. ”

Jackhouse felt that Gu Wan had a great appetite: "You want the equity of our company instead? This is a listed company with tens of billions of dollars or nearly 100 billion US dollars! I don't count this matter, we have to hold a board of directors or even a general meeting of shareholders, which is equivalent to a capital increase of a listed company." It is impossible for any of our shareholders to give you 3% of the shares, and I myself am only 8%. ”

"The amount can be negotiated, you can also have a meeting slowly, anyway, at least in the next three or four years, only I can guarantee whether deep learning will spread in this world, whether it will spread exclusively. I believe that the benefits after you promise will be at least several times greater than the pay. ”