It's interesting that while standard chess engines have essentially perfect "sight" of the board in both its present and future state, the AI models play like a human playing blindfolded for the first time. A lot of their moves make some kind of sense, but the mistakes are really glaring.
The fact that it can find ...Rxe3!! is amazing. Though it also played ...Qxh2?? and ...Rxe2?? so maybe there's some pattern recognition around capturing things that is causing both brilliancies and blunders.
I think that it's similar to my rationale. Assessing their chess can help reveal weaknesses that may apply in other areas. Those weaknesses can be more obvious in a perfect information game. This is important since so many people are relying them more and more and even sometimes for tasks they're ill suited for.
It's interesting that while standard chess engines have essentially perfect "sight" of the board in both its present and future state, the AI models play like a human playing blindfolded for the first time. A lot of their moves make some kind of sense, but the mistakes are really glaring.
The fact that it can find ...Rxe3!! is amazing. Though it also played ...Qxh2?? and ...Rxe2?? so maybe there's some pattern recognition around capturing things that is causing both brilliancies and blunders.
Broken clocks and all that, I suspect.
"Yes, Qxh2 --- I get to play mate in one with an extra tempo!"
now that's a way to look at it!
I can't believe there was actual money and resources spent on a tournament held between entities that can't even be counted on to play legal moves.
I think that it's similar to my rationale. Assessing their chess can help reveal weaknesses that may apply in other areas. Those weaknesses can be more obvious in a perfect information game. This is important since so many people are relying them more and more and even sometimes for tasks they're ill suited for.