Why do you assume that? The creators of AlphaGo certainly couldn't beat it.
No, it's really not. For the Turing Test, the AI is meant to be adversarial—it's objective is to convince you that it is human.
AlphaGo's objective isn't to "play like a human," it is to win. If they gave it an objective of playing like a human, I'm sure AlphaGo could play in a way that would be indistinguishable from a human.
> Since they have access to the AlphaGo system, they can just calculate the probability that each move corresponds to one AlphaGo would make.
Peeking at the system/data is cheating. Obviously the person who sets up a Turing test knows which player is AI.
It could just play unbelievably bad and appear like a beginner. That wouldn't prove intelligent.
> Peeking at the system/data is cheating
Someone ignorant of computers would hardly ever assume a machine. Of course the omission of this rule would leave someone smarter than the computer.
If you talk statistics, IE the machine has to convince only a fair share of humans, the definition of the threshold is a problem. Intelligence would depend on the development of the society. I thought this is about an intrinsic value.
It's an interesting thought experiment, but hardly conclusive, just observational.
Sure, which is why it's not a very good metric. The correct metric for looking at whether computational game intelligence has exceeded human capacity is that computers can consistently beat humans.
To be clear, I'm not convinced that we'll ever make a generalized intelligence which can pass the Turing Test. My point was merely that the fact that humans create the system is not a good argument for why it's impossible: in many domains, we can already create computer systems which vastly outperform ourselves.
It is very hard to dial down a ELO 3000+ program to 1800 level of a club player and not make it computer like.
What is usually done is lower the depth searched and add some random blunders but it is still obvious to a stronger player that it is a program.
I edited the post, did you read that? You are making my point, you can't bootstrap a definition for artificial intelligence by comparison to humans, when human intelligence is not well defined either.
The first versions of AlphaGo were certainly inferior to human players, but the current version is superior to any human.
I made a hopeful hypothesis and I opposed immediately that human intelligence might just not be optimized for recognizing intelligence. It is optimized for other things, not to waste energy and because of that it recognizes indeed that to play go very well but nothing else is rather less intelligent.
You do make a strong point there, specialized computers are stronger than humans in a specific task, but we are talking about general intelligence. I have to admit, too, that I have a hard time getting the bigger picture and get confused to easily. I didn't read any of the literature that would rather well define the problem, as the OP put it, so the discussion is likely less informative.
In my opinion, the comparison is unequal, still, because the Computer used a ton more resources and memory. There aren't enough go professionals to put together and let their averaged opinion learn and play, consuming as much energy.