198. Layout

It is now clear that the two sides are about to reach an agreement.

The two Geoffrey students "stopped" him.

At their suggestion, Geoffrey realized that Superman was clearly more likely to pay more for the acquisition of a company than it was to hire "three new employees."

Although he has been living in an ivory tower, it does not mean that Professor G is innocent and kind.

Geoffrey turned to Superman and asked, "Can you evaluate the other offers?" ”

And Li Shicai, who was already close to the negotiation, agreed without much thought.

In his opinion, it was no big deal.

How can there be a change in something that has almost been negotiated between the two sides?

Besides, the mainstream is deep learning now.

On the other hand, Geoffrey got his consent and immediately created DNA, a start-up with just him and the two students.

The subsequent development caught people off guard.

Guan Huang gave Xu Nan an apologetic look, walked not far away, and asked, "How does Google know?" ”

Li Shicai said embarrassedly: "I was careless, Professor Geoffrey is well-known in the industry, and he took the initiative to invite Google to join the auction ......"

“…… I previously published a 9-page paper with my students, "ImageNet Classification with Deep Convolutional Neural Networks......"

"Alexnet, mentioned in this paper, introduces a new structure and dropout method, which is able to increase the error rate of image recognition from more than 25% to 15% ......"

In Li Shicai's account, after the establishment of the company, Professor Geoffrey did not stop.

Ask a lawyer in Toronto how you can maximize the value of a startup with just three employees, no product, and little to no history?

The lawyer gave two options: hire a professional negotiator, but at the risk of angering the buyer.

Or, run an auction.

It is clear that the professor chose the latter.

Google saw the results of the other party's research and was very interested, so they joined the competition.

After listening to Li Shicai's answer, Guan Huang's annoyance swept by.

He's a little too underestimated.

I only think that Li Shi is an industry insider, and he has a common language with Geoffrey.

It's easy to negotiate.

Didn't take into account that the essence of this matter is business.

Business is competition.

"Well, what are we going to do now?"

Li Shicai was embarrassed: "Let's increase the price?" ”

"How much?"

"Sixty million?" Li Shicai swallowed.

Thirty million business talks about sixty million, and it's a shame.

It also made him completely sober.

I am not the material for business, but I still have a future in research.

Guan Huang pondered: "Professor G, is it worth the price?" ”

When it comes to professional questions, Li Shicai immediately answered:

"The two of us met at an academic seminar, since Professor Hinton proposed deep learning, the entire artificial intelligence market is about to be monopolized by deep learning, but deep learning is not a single bridge of artificial intelligence, and its level is not invincible, because this system has obvious flaws, that is, its process cannot be described."

Guan Huang "um" for a moment.

Deep learning is a flaw that resembles a black box.

People have absolutely no idea how the inside of the black box works.

Enter something in and get a result.

Li Shicai continued, "Relatively speaking, the memory prediction model invented by Professor Geoffrey is actually more in line with the characteristics of human thinking, and he is also one of the inventors of PALM, the earliest mobile computing system in the United States. ”

"So powerful, then how can he still ......"

Li Shicai smiled bitterly: "It's still deep learning, and now everyone is looking after Professor Hinton, and the artificial intelligence system built by Professor Geoffrey is not good enough, so it will inevitably be left out." ”

Guan Huang exhaled.

He basically figured out the whole context.

Although Professor G's resume is very good, in the current environment, it is not the mainstream.

The founder of deep learning is Professor Hinton.

For his outstanding contributions to deep learning, he won the Turing Award next year or the year after (I can't remember).

He is a pivotal figure in the field of AI.

The Chinese Internet calls him the "Godfather of AI" and "the Father of Deep Learning".

In 2013, the year of Guan Huang's rebirth, Google brought Professor Hinton under his umbrella.

It's because of Hinton that Google is one of the best companies in AI technology.

It's a pity to say that if Guan Huang is reborn as a billionaire, he may lay out in advance and cut off Hu once.

But at that time, in 2013, he was fighting for the first pot of gold, and he was completely unqualified to catch up with the other party.

Moreover, if you want to recruit such top scientists, you can't just have money.

Guan Huang remembers that there were four companies competing for Professor Hinton — Google, Microsoft, Deep Mind and Baidu.

Baidu was the first to discover the value of Hinton, the earliest offer, and the highest offer.

However, it still lost to Google.

Manpower is sometimes poor.

Of course, the vision of the traverser breaks through the limits of manpower.

Power to itself.

"Can Professor Geoffrey's AI system surpass the capabilities of today's deep learning systems?"

After Guan Huang asked, he realized that he had asked a stupid question.

Sure enough, Li Shicai replied: "Boss, I don't know." ”

Guan Huang nodded.

The outcome is certainly unknown.

If Professor Geoffrey is convinced of victory, he may not be able to take 60 million.

600 million?

Six billion?

Or not allow foreign capital access at all.

It is precisely because of the unknown future that there is room for him to intervene.

Guan Huang: "That's good, the price is 60 million." ”

Li Shicai got a positive answer and was very happy, "Boss, don't worry, you won't mess up this time." ”

Guan Huang hung up the phone.

He thought about it with a frown.

Supporting new research directions?

It was a big gamble.

The deep learning model monopolizes the entire market for two to three years.

At this time, it seems a bit stupid to choose Professor G's future memory prediction model.

In particular, Superman's "mastery" and "scholar" intelligence shined, and it was vaguely known as the "No. 1 artificial intelligence enterprise" in China.

A lot of aura.

……

But Guan Huang's own family knows about his own family.

Superman has invested heavily in artificial intelligence, barely being the first echelon in the field of artificial intelligence.

But compared to an established empire like Google, the gap is still obvious.

On the one hand, waging an arms race in this area is too much money-burning.

On the other hand, there is little hope of victory.

Although the vision of the traverser can avoid many mistakes, in terms of technology, more precipitation is needed.

Supporting Professor G's research is not a common direction.

Moreover, Guan Huang knows that in the next ten years, there will be no revolutionary breakthroughs in deep learning.

Perhaps, this also says something.

……

"David."

Xu Nan's voice interrupted his thoughts.

Guan Huang smiled, "It's here." ”

Why make a choice?

Adults naturally want both.

As a representative of deep learning in China, Superman must continue to work this and contribute to the soaring market value.

At the same time, it can also contribute money to support Professor G's research and lay out the future.

Two do not affect.