Meng Fanqi had fantasized several times about scenes related to rebirth, and the first step was to release the residual network and come to this venue.

In his imagination, this moment was the true beginning of his career.

But what he didn't expect was that the tech giants' sense of smell was much sharper than his imagination.

Before the report on December 7th, Google and Baidu had already signed contracts with him separately.

When Jeff, representing Google, finally signed the contract with Meng Fanqi, he also felt a burst of pain.

This was considered a generous contract in Google's history of talent poaching.

The final distribution ratio was mostly set at the highest 30%, 1-2 years, and then 10% for three years.

All of these were the most extreme treatment in the draft contract provided by Jeff.

"Now, we might have to give away nearly a billion US dollars every year." This was the worst-case scenario in Jeff and the board members' minds.

They couldn't have anticipated that Meng Fanqi would take away profits from Google several tens of times larger within just 2-3 years.

And based on that, he became the youngest and fastest self-made billionaire in history through investments and entrepreneurship.

This made him stand out among a group of old men in their fifties and sixties.

Without relying on anyone's investment, this was the value and power of technology.

"I have to say, you are the first person to make me so conflicted." On the day of the meeting, Jeff finally signed the contract with Meng Fanqi at the Sydney venue.

He smiled bitterly and shook hands with Meng Fanqi. Usually, he would rather give up than reach this point.

But Hinton convinced him to believe that Meng Fanqi's talent and academic taste in AI research were unprecedented.

For the future of the company in the field of AI, he used his position at Google to guarantee it to the board of directors.

"Now that the contract has been signed, I am ready to start the relevant research." Meng Fanqi was satisfied with this final version, although his skills were strong, there was no better platform in the world than Google at this time.

If he really messed up, it would be a very passive situation for him.

"Although it will take me a few more months to arrive in the United States, my willingness to cooperate with Google is very strong. I already have some ideas and need your relevant data and materials to verify them."

Meng Fanqi was not very familiar with Google's advanced recommendation advertising algorithm after 2020, but he had read the classic papers from 2016 to 2019.

These technologies required Google's internal customer behavior data to train the models well.

This was also why as AI developed further, it became more like a monopolistic industry. The barrier was not the technology, but the high-quality massive data and the required computing power.

"That's not a problem. Now that the contract has been signed, we will give you the corresponding permissions for the internal account. You will have access to the relevant internal data and materials, but be careful about leaks." Jeff reminded.

Once these internal things were leaked, the compensation required by the contract would be substantial.

"There are relevant onboarding documents and guidelines for common questions. If you need any help, you can discuss it with my students, Alex and Ilya, at any time." Hinton still had high hopes for Meng Fanqi.

Alex and Ilya? Starting to work with the Chief Technology Officer of ChatGPT?

This felt really good.

The graduation of an American doctorate was relatively long, so the ages of Alex and Ilya were not much different from Meng Fanqi's before his rebirth, making communication smooth.

Especially Ilya, he was currently focused on research related to seq-to-seq problems, which involved tasks like translation and conversation.

Since ChatGPT in the future was the most widely used and impactful product in the history of AI, all major companies in China were trying to replicate this technology.

Therefore, in the field of natural language, Ilya was the most familiar path for Meng Fanqi.

In their brief exchanges before, whenever Ilya felt confused, Meng Fanqi was always able to enlighten him, which made him admire Meng Fanqi.

"Genius is indeed a genius, completely unreasonable." Ilya was considered a genius himself. "He mainly researches in the field of vision, but he understands natural language problems even more deeply than I do."

Ilya was quickly convinced and made up his mind to communicate and collaborate more with Meng Fanqi.

"Then, can I conveniently learn about Google's current internal iteration process and validation metrics for recommendation and advertising algorithms?"

Google had already prepared the internal account, and after Meng Fanqi logged in and looked around, he was familiar with many things.

For example, Google's code standards, which served as the blueprint for many code standards in major Chinese companies later on, so Meng Fanqi was basically familiar with them.

As for some internal tools, although Meng Fanqi hadn't used many of them, their reputation was well-known.

Therefore, he quickly got the hang of most of the functions.

In the code management repository, most of the content unrelated to him was not accessible, but that didn't matter. Even if it was accessible, he wouldn't understand it.For instance, the source code of Google's browser has been open-sourced for a long time, but most people simply don't have the ability to understand it.

The code is vast and complex, and even the summaries written by others are hard for Meng Fanqi to comprehend.

His main focus is still on several AI-related algorithmic directions. The progress within Google is quite rapid, so he needs to hurry up and work on some technologies that can be monetized quickly.

Then, he can slowly make breakthroughs in the field of AI.

"Advertising algorithms and recommendation algorithms?" Jeff and Hinton both looked puzzled.

If image algorithms and language algorithms have a lot in common, then recommendation and advertising are vastly different fields.

In the past two years, the most rapid breakthroughs have been in the field of image processing, followed by language.

Meng Fanqi himself has made three significant achievements in image processing in the past few months.

Jeff was hoping that he would continue to make great strides in Google Brain, but why did the young man suddenly shift his focus to advertising recommendations?

Was it all for the money?

Yes, it was all for the money, there was no other reason.

A breakthrough in this area of algorithms could directly drain over 80% of Google's revenue. This attraction was far greater than other AI technologies.

"Aren't you planning to continue working on image algorithms?" Hinton was somewhat worried. He was a relatively pure scholar. Although he was troubled by money in the early days, after he had tens of millions, he no longer cared about money and focused on academia.

However, it seemed that Meng Fanqi was not such a person. He was heading straight for the most lucrative advertising business. This utilitarian attitude made Hinton somewhat worried.

"Not exactly, I have a slight idea about recommendation algorithms, but I didn't have the data support before. My focus is still on image and language."

It can be hard to make great work when its stolen from "pawread.com".

Meng Fanqi only remembered a few recommendation algorithms, and he needed to quickly monetize them. In a few years, his skills in this area would not be able to keep up, and he wouldn't be able to continue even if he wanted to.

Hearing this, Hinton felt slightly relieved.