It is clear that the emergence of AI has dramatically improved the level of human Go, and there is a possibility that AI will bring growth to fields other than Go that have reached a plateau


by

Hiroaki Maeda

The Go AI AlphaGo developed by Google DeepMind, Google's artificial intelligence (AI) research lab, achieved remarkable results, including beating Lee Sedol, the world's top Go player at the time. It has been reported that the birth of such Go-specialized AI has also improved the level of human Go players.

After AI beat them, professional go players got better and more creative
https://www.henrikkarlsson.xyz/p/go



According to Swedish author Henrik Karlsson, from the 1950s to the mid-2010s, before the advent of AI, the skill of professional Go players had plateaued and reached a limit of improvement. The graph below shows the quality of moves made by professional Go players at that time during games.



However, a few years after the appearance of AlphaGo, even low-level professional players were able to make moves that were comparable to or even better than the top players before the advent of AI. In fact, in the graph below, we can see that the quality of the moves made by professional players has improved dramatically since the mid-2010s.



After the advent of AI, professional players did not mechanically imitate the moves made by AI, but became more creative. 'By studying AI, professional players have become more creative, with more innovative moves and sequences that have never been seen before,' said Carlson.

A research team led by Shin Min-Gyu of the City University of Hong Kong reported, 'The advent of AI has improved the level of professional players, but AI research accounts for only about 40% of this growth. On the other hand, changes in human playing style account for 60% of this growth, suggesting that joseki that deviate from AI playing style are developing.' (PDF file) Regarding this result, Carlson

speculated , 'The success of AlphaGo has forced humans to rethink their previous moves and discard weak heuristics. As a result, we have been able to notice possibilities that we had overlooked before.'



Go is not the only example of this kind of 'impossible' becoming possible. After Roger Bannister became the first person in the world to run a mile (about 1609m) in under four minutes, the number of runners who could run a mile in under four minutes increased dramatically. Today, even high school students can run a mile in under four minutes.

In addition, the music of French composer Pierre Boulez was once said to be 'unplayable,' but once recordings of his music began to appear on YouTube and other sites, he was suddenly performed, and today his music has become a standard part of concert repertoire.

The recent improvement in the level of professional shogi players is seen as evidence that the emergence of AI systems is producing this effect. The emergence of new technology expands human potential and gives people courage. On the other hand, there is also the possibility that humans will be unable to keep up with the developing AI and be left behind. Even so, by learning from AI, humans may be able to break through the sense of stagnation that has caused them to date and push their skills to a higher level.


By Steve James

'Our potential is greater than we realise,' said Carlson. 'Even in highly competitive areas like chess and Go, human performance can be well below the limits of possibility. Perhaps AI can teach us how to push the boundaries of possibility in more areas.'

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