The notion of counting this against the natural abstraction hypothesis is interesting to me, because my intuition was the opposite. From (my understanding of) the natural hypothesis perspective, adversarial play is another iteration of natural abstraction, just this time on the much smaller space of incompleteness or errors in KataGo’s abstractions over the space of go.
I interpreted OP as saying that KataGo, despite being a super-human Go player, came up with a flawed approximation to the natural abstraction that two eyed groups are alive which was inaccurate in some situations (and that’s how it can be exploited by building a small living group that ends up appearing dead from its perspective).
Well, I’m hardly an expert, I’ve just read all the posts. Marcello summed up my thinking pretty well. I don’t think I understand how you see it yet, though. Is is that the adversary’s exploit is evidence of a natural abstraction in Go that both AIs were more-or-less able to find, because it’s expressible in the language of live groups and capturing races?
You can imagine the alternative, where the “exploit” is just the adversary making moves that seem reasonable but not optimal, but then KataGo doesn’t respond well, and eventually the adversary wins without there ever being anything a human could point to and identify as a coherent strategy.
The notion of counting this against the natural abstraction hypothesis is interesting to me, because my intuition was the opposite. From (my understanding of) the natural hypothesis perspective, adversarial play is another iteration of natural abstraction, just this time on the much smaller space of incompleteness or errors in KataGo’s abstractions over the space of go.
I interpreted OP as saying that KataGo, despite being a super-human Go player, came up with a flawed approximation to the natural abstraction that two eyed groups are alive which was inaccurate in some situations (and that’s how it can be exploited by building a small living group that ends up appearing dead from its perspective).
Well, I’m hardly an expert, I’ve just read all the posts. Marcello summed up my thinking pretty well. I don’t think I understand how you see it yet, though. Is is that the adversary’s exploit is evidence of a natural abstraction in Go that both AIs were more-or-less able to find, because it’s expressible in the language of live groups and capturing races?
You can imagine the alternative, where the “exploit” is just the adversary making moves that seem reasonable but not optimal, but then KataGo doesn’t respond well, and eventually the adversary wins without there ever being anything a human could point to and identify as a coherent strategy.