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Strong amateur player go defeated the system artificial intelligence high ranking after exploiting a vulnerability discovered by a second computer.
As reported Financial Timestaking advantage of the disadvantage, the American player Kellin Pelrin decisively beat the system Kata Gowinning 14 out of 15 games without the help of a computer.
By using?
The victory is one of the greatest human vs machine achievements since 2016 AlphaGo He will defeat the professionals of this game, marking his leadership.
Pelrin’s victory was made possible by a research company called FAR AIwhich developed a program to study the weaknesses Kata Go.
After playing over a million games, he was able to find a weak spot that a decent amateur player could exploit. “It’s not exactly trivial, but it’s also not very hard” to learn, Pelrin said. He used the same method to win Leela Zero, another one of the best artificial intelligence games.
According to the computer, the best way to defeat the AI is to create a large “loop” of rocks to surround the enemy group and then distract them by making moves in other areas of the board.
Even when his group was almost surrounded, the computer didn’t understand the strategy. “As a human, it would be pretty easy to spot,” Pelrin said, as the rocks around him stood out clearly on the board.
System failures
The flaw demonstrates that AI systems cannot actually “think” beyond their learning.
Lightvector (developer Kata Go) is probably aware of this issue that players have been experiencing for months now. In a GitHub post, he said that he is working on fixing various types of attacks using the exploit.
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Source: RPP

I am Ben Stock, a passionate and experienced digital journalist working in the news industry. At the Buna Times, I write articles covering technology developments and related topics. I strive to provide reliable information that my readers can trust. My research skills are top-notch, as well as my ability to craft engaging stories on timely topics with clarity and accuracy.