"the adversarial policy works by first staking claim to a small corner of the board. He provided a link to an example <https://goattack.alignmentfund.org/?row=0#no_search-board> in which the adversary, controlling the black stones, plays largely in the top-right of the board. The adversary allows KataGo (playing white) to lay claim to the rest of the board, while the adversary plays a few easy-to-capture stones in that territory."
This sounds oddly reminiscent of the vs-computer RISK strategy of taking over Australia, and ceding the rest of the board until you suddenly come out and win. Which no half-decent human opponent would ever let you do, but the computer AI make totally viable. On Thu, Nov 10, 2022 at 1:24 PM Roger Frye <[email protected]> wrote: > > https://arstechnica.com/information-technology/2022/11/new-go-playing-trick-defeats-world-class-go-ai-but-loses-to-human-amateurs/ > > -. --- - / ...- .- .-.. .. -.. / -- --- .-. ... . / -.-. --- -.. . > FRIAM Applied Complexity Group listserv > Fridays 9a-12p Friday St. Johns Cafe / Thursdays 9a-12p Zoom > https://bit.ly/virtualfriam > to (un)subscribe http://redfish.com/mailman/listinfo/friam_redfish.com > FRIAM-COMIC http://friam-comic.blogspot.com/ > archives: 5/2017 thru present > https://redfish.com/pipermail/friam_redfish.com/ > 1/2003 thru 6/2021 http://friam.383.s1.nabble.com/ >
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