<div dir="ltr"><div dir="ltr"><span style="color:rgb(0,0,0);font-family:opensans;font-size:15px;background-color:rgb(240,241,242)">"the adversarial policy works by first staking claim to a small corner of the board. He provided a </span><a href="https://goattack.alignmentfund.org/?row=0#no_search-board" style="box-sizing:inherit;background-color:rgb(240,241,242);text-decoration-line:none;color:rgb(255,78,0);font-family:opensans;font-size:15px">link to an example</a><span style="color:rgb(0,0,0);font-family:opensans;font-size:15px;background-color:rgb(240,241,242)"> 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."</span><br clear="all"><div><div dir="ltr" class="gmail_signature"><div dir="ltr"><div dir="ltr"><div dir="ltr"><div dir="ltr"><br></div><div>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. </div><div dir="ltr"><br></div><div dir="ltr"><br></div></div></div></div></div></div></div></div><br><div class="gmail_quote"><div dir="ltr" class="gmail_attr">On Thu, Nov 10, 2022 at 1:24 PM Roger Frye <<a href="mailto:frye.roger@gmail.com">frye.roger@gmail.com</a>> wrote:<br></div><blockquote class="gmail_quote" style="margin:0px 0px 0px 0.8ex;border-left:1px solid rgb(204,204,204);padding-left:1ex"><a href="https://arstechnica.com/information-technology/2022/11/new-go-playing-trick-defeats-world-class-go-ai-but-loses-to-human-amateurs/" rel="noreferrer" target="_blank">https://arstechnica.com/information-technology/2022/11/new-go-playing-trick-defeats-world-class-go-ai-but-loses-to-human-amateurs/</a><br>
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