Before Meng Fanqi's rebirth, under the pressure of OpenAI's ChatGPT and Microsoft's Bing, the [Google Brain] team and the [DeepMind] team merged two major artificial intelligence organizations.

After the merger, the CEO of [Google DeepMind] was Demis, and Jeff instead moved to a vacant position as the team's chief scientist.

As the founder of a small company that was acquired, Demis was able to surpass Google's veteran Jeff in the position of artificial intelligence, an area that Google is very concerned about, after the merger, which shows that Demis himself has some means and talents.

But that's ten years later, and now that Demies has just had a new owner, and he wants to open his mouth to share the resources of the Google Brain team, he is still quite nervous when facing Jeff.

Fortunately, Jeff is still a technical manager after all, and he appreciates the achievements of the DeepMind team.

The communication between the two sides was smooth and pleasant.

It's just that when talking about the Google Brain team member, Meng Fanqi, Jeff said that he can't make a decision.

"He's a privileged celebrity now, if you need his help and involvement, you might as well contact him directly."

This answer surprised Damith a little.

It's hard to imagine that Meng Fanqi has such a high status even before he officially joins Google.

After DeepMind was acquired, in addition to the computing resources just needed, the first thing that caught the attention was Meng Fanqi of Google Brain.

This is the idea that Dr. Huang Shijie strongly advocates.

From his point of view, Meng Fanqi is likely to be the most needed resource for DeepMind right now, a brilliant and creative brain.

And being both Chinese, Meng Fanqi is naturally more able to understand the cultural heritage of Go than European and American scholars.

Meng Fanqi, who received Dr. Huang's call, was confused, but fortunately, Dr. Huang acted as the spokesperson of Alpha Dog in his previous life, and instead of Alpha Dog, he played against Lee Sedol and Ke Jie.

As soon as Meng Fanqi connected to the video, although he looked a little different, he still recognized him immediately.

After some introductions and greetings, Meng Fanqi went straight to the point.

"Dr. Huang contacted me suddenly, what's the matter?"

"It's not important, the main thing is that we have a large-scale project of smart chess, I don't know if you are interested in participating. The goal is the most difficult board game in human history, Go, and we hope that AI programs can truly defeat professional Go players in the world's most difficult board game. ”

Of course, Huang Shijie didn't want Meng Fanqi to join in full-time to work as a day job, he knew that Meng Fanqi was at the peak of his technology, and releasing new methods was as fast as laying eggs.

There is no reason or qualification to ask such a rising star to join the team to work for himself.

All he asked for was for Meng Fanqi to intermittently participate in the discussion and provide them with some opinions and opinions.

Many of Meng Fanqi's thoughts have played an important role in the construction of the basic framework of Alpha Dog.

"Used your residual thinking some time ago and helped us a lot with our performance. Your generative confrontation ideas are also inspiring to us. Dr. Huang is not complimentary, and the idea of residuals is basically helpful for all algorithms that require a certain scale of deep networking.

In addition, Dr. Huang's work on optimizers, normalization, and other aspects is also refreshing.

It can be said that every time I read Meng Fanqi's article, there are some new ideas and inspirations, and since both of them are Chinese, Dr. Huang is very hopeful that Meng Fanqi can participate in this project.

For the matter of Go, after all, it is the Chinese people who can better understand the feelings in his heart.

However, the only thing to worry about is that Go AI is not a direction with great commercial value or industrial landing prospects.

To put it bluntly, this thing, it doesn't make much money.

The project is done like a pixiu, only seeing the money go in, but not seeing the things out.

As a rapidly rising star in the field of artificial intelligence, Meng Fanqi has made many breakthroughs in detection-related algorithms.

The conditions for the implementation of many technologies related to detection are ripe, and the research in this area must be fruitful.

In contrast, he may not be able to look at this Go AI project, and even if he does, he may not have the time to participate.

Still, Dr. Huang made an effort and tried to invite.

"It just so happened that DeepMind had just been acquired by Google, so I went to ask Jeff about you to see if there was any chance of working together. Jeff and Hinton said that although you are now a researcher at Google Brain, you have a lot of autonomy, and they don't have any restrictions on you, and they don't know your schedule very well, so let me contact you directly. ”

When Dr. Huang said this, he was actually a little curious.

The position of researcher does have a certain degree of autonomy, and he can make some choices and trade-offs in research directions according to his own strengths and preferences.

But like Meng Fanqi, it is really rare for the two big leaders to show the attitude of "let him go" and "I can't control this guy".

"I mainly generated a little bit of revenue for Google, and that's 100 million points." Meng Fanqi laughed, he talked to him about this matter last time.

Since Meng Fanqi generated one-third of Google's advertising revenue, the privilege of the entire department of Google's brain has been completely established.

Money money money is the lifeblood of all directors.

Whoever can generate income so strongly will enjoy unlimited privileges.

As soon as Meng Fanqi generated income, the entire department followed suit.

As a result, Google has thoroughly established its AI-first corporate purpose, and the position of Google's brain is naturally extremely transcendent.

And Meng Fanqi, the biggest contributor to all this, of course, no one can take care of it.

People just didn't obey the instructions, which made so much revenue.

What, you want to take care of him? How much revenue do you generate for Google?

"I'll tell you the truth, I'm actually quite interested in Go AI, if it's convenient, let's talk about the current progress today?"

Meng Fanqi is not like Dr. Huang, his chess skills are very high, and he almost has the level of amateur sixth.

His level is basically the level of those who have just read the basic rules of Go and have never played well with anyone once.

I also watched a few basic teaching videos of War Eagle and Ice Cream, and I still didn't pay too much attention to it.

But this did not affect his interest in Go AI, which he focused on was much larger than Go.

Meng Fanqi has focused on accumulating raw capital and cashing in the visual technology he is most familiar with over the past year, almost forgetting some basic life pursuits.

Visual algorithms, especially this series of operations in detection, YOLO-multi-target-face, are all Meng Fanqi's comfort zone in his previous life.

All kinds of skills and source code are well cooked, and it can be completely formed by one person, and the whole set of functions is developed without lag.

These are the most mature technologies for monetization in previous lives, and the processes and principles are not so troublesome.

And a complex system like Alpha Dog is not something that Meng Fanqi can reproduce by patting his head alone.

Among them, there is a large amount of game data, input methods, scoring criteria, the principle of search confrontation and screening strategies.

Meng Fanqi is basically not familiar with this part of the content, who makes the technology that cannot be realized, and the interview is too few.