In a separate thread, it was asserted that “What the AI says is the best winrate should define what is Joseki”.
This has been a topic of intense debate amongst the contributors to the Joseki Explorer.
I would welcome more well considered input.
One specific reason why the AI’s highest win rate is not automatically and obviously “joseki” is because the AI’s highest win rate is for that specific position, with the rest of the board specifically empty.
Joseki is defined as the optimal play when all other things are equal on the rest of the board.
“When all other things are equal” is a loose English phrase which means more along the lines of “if there aren’t significant considerations” rather than “precisely equal”.
This is a very loose definition, if you poke at it, which is one source of debate.
However, there is an important sense in which it transcends this looseness. Humans are looking for advice about what is the best thing to play given that we can’t take into account the rest of the board in a deep way. AI is telling us what is the best winrate move given that the rest of the board is empty, and it has analysed that in a deep way. These are two different things.
It may be that nonetheless “if the AI says its best then it is”, but it’s worth discussion to validate that this will result in useful content.
(Right now the gold standard for “what is Joseki” in Joseki Explorer is “does a pro tell us that it is?”, and “have they said so recently”. We aim to have Joseki sourced from a credible source. We do have AI sequences, but they don’t have the same credibility at present).