On March 15th, Google's artificial intelligence Go software AlphaGo and the former World Go first, South Korea's nine-segment Li Shishi's fifth game ended, AlphaGo beat Li Shishi with a total score of 4:1. At this point, this man-machine war with a wide impact has come to an end. Many people think that this is an epoch-making thing for the AI ​​world and the world of chess, and it will even change the fate of human beings in some sense. But in addition to the carnival, we seem to be more concerned: Can AlphaGO really take on the full meaning of humanity?
One,
When all the dust settles, we may be able to re-examine this "human-machine war."
The development of the event was like a film concocted by a mediocre scriptwriter: the parties actively erected "Flag" (the game language saying, the necessary predecessor of an event, editor's note), and then quickly turned to the opposite of expectations. The direction of development, the unexpected reversal in the intraday, and finally presented a final and meaningful ending.
But what's interesting is that when the Hollywood-style assembly line story turns into reality, “nothing new†turns into a “shocking heartâ€.
Whether it is from the amount of news reading at home and abroad, the amount of video playback, or from the fierce voices of the world of chess, science and technology, and the media, this is a standard national carnival. Go, the sport that has never really moved to the mainstream society in the past few decades, was once regarded as "the jewel of human wisdom" and "the last bastion of human wisdom"; tens of millions of viewers watched live video Even the vast majority of them do not understand the most basic rules of Go.
In their cognition, these scenes are: AlphaGo is labeled with artificial intelligence, Li Shishi is labeled as “human representationâ€, and the two sides fight, called Go, one is labeled as human supreme wisdom. The movement of the label.
Success or failure is here. People seem to have been beaten with chicken blood. After all, nothing is more exciting than witnessing a big event that can be written into a textbook, and it is human beings who are defeated.
But it seems that something is wrong.
two,
In the middle school age, many people were forced to recite many "signs": the invention of the Jane spinning machine marked the beginning of the first industrial revolution; the hereditary system replaced the chanting system as the beginning of the slave society and so on.
In textbooks, history seems to be disconnected by a single logo. A major historical event, as long as the influence of public opinion is large enough, will be put on the "epoch-making" hat; it is also very interesting to be in such a historical node, which is estimated to be a fantasy of many people when they are young.
Possibly, this is also a potential reason why we are faced with an unclear, but will be excited when we think of it as a historical node under the guidance of public opinion.
But unfortunately, the flow of time is full of coherence. Before the arrival of the node, the change did not come at a very slow speed; after the arrival of the node, it did not mean that the change would start the sprint at an unusual speed.
The people who write history books are always descendants, and the eras that the authors have personally cut off are full of inextricable relationships. Even if the historical changes are big, the changes between the two days may be much smaller; in them, It may not be considered to be so large that it can be called a "node."
We think we are witnessing history, but history has been slowly witnessed in the past few days. The next node we are looking for may also have begun to happen now.
The times have been slowly advancing. When we look at life with the attitude of writing a history book, there may be a lot of things that are exciting and shocking.
three,
Back to the topic.
Human beings are a kind of animal that is labelled. This may be the most direct reason why the AlphaGo event has become so much of a concern. Under the labeling paradox, a more important battle of Go has become an extremely important battle for human glory, and the lack of logic is worth pondering:
1. Is AlphaGo qualified as a representative of artificial intelligence?
2. Is Li Shishi qualified as a representative of human wisdom?
3. Can Go represent the last position to hold human wisdom?
If only one of these three issues is not established, the "significant historical significance" that this man-machine war is being promoted seems to be untenable.
The first question is quite technical. Although the media is one-sided for artificial intelligence (AI), the academic community does not sound as much as AlphaGo. A Microsoft expert wrote in a blog that the AI ​​level represented by AlphaGo is still a weak AI level, far from actual use. Going out to ask the engineer Li Li is the author of the detailed discussion of AlphaGo's deep learning is not self-thinking, just use a new way to recombine several algorithms and achieve better deep learning.
Specifically, the neural network used by AlphaGo is not fundamentally different from Skype's translation tool and Twitter's pornographic content recognition system. Through the analysis of existing data and certain algorithms, imitating the partial reaction mechanism of the human brain, the machine has deep learning ability.
It should be noted that the content of learning here is only deeper and deeper along the existing direction set by human beings, and it is not really thinking; for example, AlphaGo cannot think about anything other than Go. This "passive" mode of operation is fundamentally different from the brains of human beings with active and innovative consciousness.
Even though AlphaGo added "two-level deep learning" in addition to the neural network, it did not jump out of the current level of AI. This addition includes a relatively core but relatively old technology such as Monte Carlo search. What Google does is to build a better long-term prediction system with new algorithms, so that AlphaGo has the right to play Go. This movement, which was difficult to measure the "value system," became relatively easy to measure.
But the fact is that this series of innovations makes AlphaGo significantly better than the contemporary Go AI. Well, we need to add the prefix "Go"; however, this is likely to still "have no use."
The second and third questions are easier to answer. On the one hand, Li Shishi has long been out of the peak of his career. Even if he is still at the peak of his career, it is really no problem to let Go, a small number of participants, and the Western countries and even long-term niche sports to raise the banner of human wisdom.
Even Ke Jie, who is currently ranked first in the world of chess, seems to be a little less appropriate to let him represent the highest wisdom of mankind. But this series is not appropriate, in this multi-labeled incident, but did not cause a lot of people to have obvious discomfort.
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Of course, we have no intention to deny the impact of this incident on all walks of life, or that after the man-machine war, there will be more win-win situations. But this is not just a technical victory.
1. Impact of AI industry. As mentioned above, AlphaGo may not lead the entire AI community too much, saying that "epoch-making" may not be able to talk about it, but the impact of its public opinion is enough to make the entire scientific community again to increase the research on AI. In the foreseeable years, we can see more technology companies publishing their AI research results, and the investment in related industries may also increase. This series of forces will eventually make the AI ​​"singularity" that human beings promote themselves more and more fast.
2. The influence of the world of chess. If you do not zoom in on the public opinion, the most influential after this battle should be the world of Go. The world of Go, which has been solidified by human thinking, has been subverted by the values ​​of this battle. The questioning of the AlphaGo line in the career of the nine paragraphs may eventually turn into a reflection on the movement. Such a scene is no stranger to those familiar with the history of Go. In the 1940s and 1950s, "Showa Chess" Wu Qingyuan once dominated the Japanese Go game, its strange chess style and the proposed new Go layout theory. The order of the order, etc., has greatly broadened the chess path of the Go players.
3. Participants take their needs. We can hardly find the "loser" of this man-machine war: Google’s market value has risen by 10 billion U.S. dollars in a few days, and the gains in the brand are even more impossible. The evangelism of the scientific and technological circles has become more recognized by the mainstream society. The advertising fees of the technology companies are also unmeasurable; the popular Go game; the popular Ke Jie; the Jinli mobile phone that sponsors the Go game; the media and advertising practitioners. .. ..
As for Li Shishi, who is at the forefront of the storm, it has nothing to do with "sadness." If AI transcends humanity is a fact that will be realized sooner or later, Li Shishi is a piece that happens to be chosen as a deductive history; to be sure, no one remembers Li Shishi after decades of accustomed to the fact that AI surpasses human beings. The humiliation - just like no one now thinks that Bolt can't run the plane is a very "humiliating" thing.
The most important thing is that Li Shishi, who is at the end of his career, is in any sense.
This is a paradox and marketing victory. Technology is just an introduction.
Fives,
However, as previously stated, even though the historical significance of AlphaGo is a bit of a misnomer, the history of slow advancement is also getting closer and closer to the "singularity" of AI. On the other hand, people's unusual attention to man-machine wars, using only illusions and tagged explanations, seems to be not comprehensive enough.
In fact, the most powerful thing that has been fermented throughout the incident is the “AI Threat Theoryâ€. The sub-hands are happy to edit AlphaGo's intentional loss of a game. Musk and Hawking's AI threat theory is repeatedly mentioned; obviously, AlphaGo, which is better than the same-generation AI, has successfully assumed the argument that AI will be crushed. The best argument for human arguments.
Reminiscent of the past Hollywood AI end-of-day themes, the panic of people's hearts is further stimulated. Perhaps this is the most essential reason behind this incident.
So, we saw another rather strange picture: white-collar workers who have not yet quit their jobs are beginning to worry about whether AI will replace their own work; people who don’t know when they work overtime begin to fear when AI will let humans go to the end. - These fears seem to make sense at first glance, after all, no one can know what the future will look like.
However, if the ancestors of the pre-industrial revolution knew the technology of the world today, would they have similar concerns?
we do not know. The only thing we know is that a high degree of automation has not caused most of the people to lose their jobs, and the world has not been dragged into destruction by new technologies.
People in the previous era will always be more or less fearful of the next era of the unknown. At least for now, these fears have not become a reality at one time.
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