Or maybe it means we train the professional in the principles and heuristics that the bot knows.
Many Professional Go players are already using AI to help them study, including understanding the underlying technology and algorithms, with mixed results.
Humans have been playing Go for thousandsof years and there is already a long and respected tradition and cannon of literature with commentaries and human reasoning to pull from. Most human players have used human created rituals to study with,and see studying AI as just one tool among many. Some don’t give it much credence at all.
Another problem is that when you rely on Go to make a living, taking time to attempt to incorporate ML and AI concepts into your study and tournament schedule is a big risk. Because currently there’s no way to query the AI to understand why it made moves, much of what AI provides is essentially meaningless to human players.
The problem isn’t even necessarily because it’s an AI either; if you were trying to learn how to play Go from a Human teacher who won every game, but who couldn’t communicate with you or anyone else because of the language barrier, you would be better served finding a teacher you could talk with, even if they didn’t win as often as the ‘unbeatable idiot.’
Additionally though many Go players see Go as a human game too, and feel offended at the encroachment of technology into their domain.
Besides most of the development of the AI associated with the Alpha Go series has branched off into development of the AI into the domain of Protein Folding, which I personally think and feel is a much better use of the technology.
Many Professional Go players are already using AI to help them study, including understanding the underlying technology and algorithms, with mixed results.
Humans have been playing Go for thousands of years and there is already a long and respected tradition and cannon of literature with commentaries and human reasoning to pull from. Most human players have used human created rituals to study with,and see studying AI as just one tool among many. Some don’t give it much credence at all.
Another problem is that when you rely on Go to make a living, taking time to attempt to incorporate ML and AI concepts into your study and tournament schedule is a big risk. Because currently there’s no way to query the AI to understand why it made moves, much of what AI provides is essentially meaningless to human players.
The problem isn’t even necessarily because it’s an AI either; if you were trying to learn how to play Go from a Human teacher who won every game, but who couldn’t communicate with you or anyone else because of the language barrier, you would be better served finding a teacher you could talk with, even if they didn’t win as often as the ‘unbeatable idiot.’
Additionally though many Go players see Go as a human game too, and feel offended at the encroachment of technology into their domain.
Besides most of the development of the AI associated with the Alpha Go series has branched off into development of the AI into the domain of Protein Folding, which I personally think and feel is a much better use of the technology.