This article is just some gibberish about the motivation for the creation of this book, so I wrote it wherever I wanted.

Here's the point.

Flipping through a textbook published around 2000 about the history of computer development, Alan Turing's name is like a monument, as if the super terminal he defined is the final form of artificial intelligence that human beings should strive for.

The Turing Award, a variety of other memorials named after him, has brought Turing and his theories to the altar.

He can't be wrong about his assumption, after all, "what can't be done today doesn't mean it won't be possible in the future." However, as history enters the 2010s, the technological leaders in the Internet industry have reached at least a little consensus: Alan Turing's super terminal concept is not wrong, but it is at least not the first and easiest artificial intelligence for human beings to implement.

Because, in 2006, Professor Jeff Hinton of the University of Toronto, Canada, discovered and summarized the "deep learning algorithm". Since that moment, mankind's pursuit of artificial intelligence has shifted from a super terminal to a super network.

What the? Just an algorithm? Are you kidding me? What does it matter to us ordinary birds?

Countless readers outside the door will definitely think so, and feel that the author who paraphrases the previous paragraph is too unfriendly to the people, and likes to speak in a forced manner.

So, let's translate it in human terms.

After the advent of deep learning algorithms.

MORE RECENTLY, GOOGLE HAS COME UP WITH A PICTURE SEARCH ENGINE, FACEBOOK HAS COME UP WITH PORTRAIT RECOGNITION TECHNOLOGY, AND SOGOU HAS COME UP WITH AN INPUT METHOD THAT CAN LEARN FROM ITSELF.

Further, before the watershed of deep learning algorithms in 06, Google's industrial machine was still at the level of "human programmers help machines perceive and induct, while computers are only responsible for deducing human-defined program algorithms and automatically executing them". After the advent of this algorithm, it became possible for the machine to self-learn and actively "perceive the external world and self-correct the inductive principle of the algorithm according to human feedback".

As a result, in the 2010s, we saw that the industrial machine qì people needed programmers to program them according to the process flow as if they were controlling CNC machine tools, and then they could start work. When the robot arm is equipped with countless sensors and the process flow is adjusted, the action of the robotic arm can be corrected through the "hand-in-hand" feedback method of ordinary workers, and then the computer can "develop the correct operation stroke habit by itself".

Today, Amazon's "Tmall" (referring to Amazon's official direct stores similar to Taobao Tmall) has eliminated the positions of human storage and transportation workers and realized fully automatic delivery.

Hospitals in Silicon Valley and Los Angeles have realized that pharmacists can pick up drugs according to prescriptions and completely eliminate pharmacist positions.

Google's driverless cars have also evolved from a low-level form of "only unmanned cars can be driven together with unmanned vehicles" to an in-depth stress test stage where "unmanned vehicles can be put on the road with manned vehicles that may have abnormal conditions at any time".

The sweeper qì people who have entered thousands of households have also begun to have the ability to learn to correct the map route according to the layout of the user's house, which is far less stumbling than the early model a few years ago.

……

Perhaps, if we live to 2050, when humanity actually achieves a high degree of artificial intelligence from the super-network, we will see that in the history books of that time, Jeff Hinton will be written as a great man like Alan Turing.

Because since he began, computing has become a cloud, media has become a stream, and most of them are just the product of the integration of streaming media.

We can imagine if, in an era when the entire social elite is able to invoke the big number jù, there is really a reborn who returns to 2020 with decades of solidified "foresight". Then, he tried to make a profit with his prophet of "**", "stock market", "media product popular information", can he still succeed?

Perhaps, there can be a short-term success, but it will definitely not be as successful as when it was reborn back to the first decade, and it will definitely not be as successful as those who have traveled back to an era when information has not exploded into a cloud.

When you buy a stock that has been proven by "history" to skyrocket the next day, you may be able to reap the benefits of the first few percentage points, but unfortunately, as your butterfly effect variable is captured by large numbers and cloud computing in an instant, the rest of the world's investment elite instantly takes this variable into account, and then, history is changed in an instant. The stock market that the Reborn had hoarded for decades was suddenly in vain.

When you plagiarize a popular song that will be popular in the future, or a great god online article, the result is that because the big number jù instantly captures the trend of your popularity, and then before you have time to promote it, those great gods who are much more famous than you begin to imitate and divide your readership. Unless your work requires a deep foundation and is difficult to imitate, such a prophetic plagiarist will never be as successful as in the pre-Internet era.

Anyone who tries to make a profit from hoarded solid numbers in the era of flowing numbers is as stupid as the Iran-Iraq commander who held weapons from the 80s in the Iran-Iraq war and fought in the form of the 60s war. Even if they have F14 fighter jets, their hearts still only know how to make people go through the minefield.

This book will tell countless people who fantasize about the victory of the prophets, and the era of the victory of the prophets has passed.

If you have to be born again, you have to rely on foresight, then please pick a good time when you travel, it is best to continue to travel to the 80s, 90s, at least before the advent of the Internet+, to earn enough money and women.

The writer of the rebirth essay in 2010 wrote countless rebirths back to the ** decade. The rebirth text in 2020, if there is a rebirth text at that time, it will still be reborn back to the ** decade. Even in 2050, the end of the pre-Internet era seems to be a watershed moment of rebirth.

Because of Jeff Hinton's algorithm, rebirth has lost its meaning.

So, let the protagonist of this book be the last reborn person on earth, a reborn person who ends the rebirth value of a qiē reborn person, and a terminator who ends a qiē hoarding solid knowledge.

If you don't move towards connectivity, interconnection will come to you (handmade illustrations). With the B-52 bomb map that says "democracy will come to you". ）