I don't think they mean the two in the same way. AlphaZero is "general purpose artificial intelligence" because if you formulate a problem in the right way and then throw a server cluster at it for a few weeks, it often comes back with pretty good performance at solving that problem. It's probably our current best crack at creating AGI, but it's a long way from a machine that can take a very high level goal and figure out the rest for itself, which is what we usually mean by "AGI" - not just a machine that answers multiple questions, but a thing analogous to a human mind which can analyse new things, infer properties and mechanics, generalise those to new contexts, and apply that knowledge to achieve new outcomes.
Hey, at least it's a type of problem rather than a problem itself.
I haven't studied enough myself yet to know the answer to this one, but what are the differences between AlphaZero and the OpenAI 5 DOTA team's approach? Would it be possible to apply AlphaZero to DOTA?
Agreed. Poker is another interesting case of "partial information" game. There is some discussion of this in the links below. I suspect that AlphaZero could make a decent poker player with a non-trivial amount of tweaking.
I wonder what would happen if you made DOTA totally observable. You could probably reformat it as 5 pieces for a player instead of 5 people on a team or the like. It would probably change the game too much to be recognizable as the same, but I think it would be an interesting experiment if nothing else.
