Go led to speculation that Ai was cheating.
Human beings not only need to adapt to AI, but also need to learn from AI. This is the reality that human beings, especially chess players, must accept in the face of the new technological revolution . A huge turning point for
AI occurred in 2016. That year, the AlphaGo program developed by DeepMind, a London-based AI startup, defeated Go world champion Lee Sedol in the Go Challenge with a total score of 4:1. Humanity's last chess bastion has been conquered. Compared with chess, Go is countless times more complex. Players not only need to have brainpower and wisdom, but also need to have a certain degree of Zen thinking. The moment AlphaGo defeated the human Go world champion, someone shed tears.
In the past 5 years alone, AI has defeated human world champions in Go, poker, and the e-sports game Dota2. Artificial intelligence no longer needs to learn from humans. It only needs to be told the rules, and it can learn chess independently from scratch within 4 hours, and then defeat all human players. In 2020, people used AI to overcome a biology problem that has been in the past 50 years-protein folding. Today, the potential of AI is not limited to the field of game competition. Its capabilities in speech recognition and image recognition also surpass humans. Based on AI technology, it can also build a " digital human " that looks and sounds quite realistic.
The same is true for Go. Human beings can only play tens of thousands of games in a lifetime, but artificial intelligence can play tens of thousands of games in a few hours by practicing with itself by playing left and right. These chess games and the many Go formulas that have been circulated for hundreds of years, including negation calculations, have brought Go into new skies.
Based on the improvement of massive data and computing power, as automation technology and perception technology gradually mature, various types of data-driven, autonomous decision-making robots, driverless transportation and other business practices will be launched one after another. I also inferred that AI will be applied in many fields such as industrial digitization, manufacturing, finance, retail, and transportation. These advances will create huge economic value for human society, but at the same time, they will also face the transformation challenge of the upcoming wave of unemployment.
Among all enterprises in various industries, less than 10% have applied AI technology, and more AI technology needs to be used to empower innovation. There are still many opportunities ahead for us to seize together.
Faced with the huge potential of AI, some people may embrace it enthusiastically, some may use it maliciously, some may choose to surrender in the face of cold technology, and some may eventually become a phoenix after being baptized by technology.
And Li Xuanhao, whose Go game is in the spotlight, we hope he is the phoenix in the fire of artificial intelligence.
