Google’s AlphaGo AI defeats team of five leading Go players
1–10 of 57 posts
Re: Google’s AlphaGo AI defeats team of five leading Go players
#2Algorithms are the new 10x developer.
I'm actually half serious: one can see how something that is slightly better can have a massive multiplier, e.g. a team of inferior intelligences cannot 'scale' to beat a single superior intelligence in some regimes.
This does not apply to all fields, of course. But in many regions of abstraction it may.
Re: Google’s AlphaGo AI defeats team of five leading Go players
#3Is playing go as a team something that people do? It seems unintuitive. I'd expect a team of 5 experts to play worse than one expert.
Re: Google’s AlphaGo AI defeats team of five leading Go players
#4Algorithms are the new 10x developer. I'm actually half serious: one can see how something that is slightly better can have a massive multiplier, e.g. a team of inferior intelligences cannot 'scale' to beat a single superior intelligence in some regimes. This does not apply to all fields, of course. But in many regions of abstraction it may.
With the caveat that it is a single, specific task. The team here of 5 is probably capable of more than playing Go :) That's not all bad, there are advantages to having something really good at one objective. But I wonder if there is a fundamental trade off.
Re: Google’s AlphaGo AI defeats team of five leading Go players
#5Is playing go as a team something that people do? It seems unintuitive. I'd expect a team of 5 experts to play worse than one expert.
At this point no one expect alphago would lose. So just have fun
Re: Google’s AlphaGo AI defeats team of five leading Go players
#6Algorithms are the new 10x developer. I'm actually half serious: one can see how something that is slightly better can have a massive multiplier, e.g. a team of inferior intelligences cannot 'scale' to beat a single superior intelligence in some regimes. This does not apply to all fields, of course. But in many regions of abstraction it may.
With the caveat that it is a single, specific task. The team here of 5 is probably capable of more than playing Go :) That's not all bad, there are advantages to having something really good at one objective. But I wonder if there is a fundamental trade off.
IMO, you're comparing from the wrong things.
AlphaGo is good at playing Go specifically, sure. But AlphaGo was built by machine learning infra that is capable of doing more than just playing Go.
Google's ML capabilities as a whole are the 10x developer.
Re: Google’s AlphaGo AI defeats team of five leading Go players
#7Is playing go as a team something that people do? It seems unintuitive. I'd expect a team of 5 experts to play worse than one expert.
Yeah, that was a question I had while watching the stream too. Is a team of Go experts working together typically considered stronger than a single, highly skilled player playing alone?
Also worth noting that due to the time constraints of this particular match, the human players didn't really have a lot of time to discuss and debate every move they chose, which could have had a negative impact on the potential advantages of working as a team.
Re: Google’s AlphaGo AI defeats team of five leading Go players
#8Is playing go as a team something that people do? It seems unintuitive. I'd expect a team of 5 experts to play worse than one expert.
If you consider that the team is just a group of experts discussing an ongoing game and variations that may be better/worse, it seems pretty common. I'd imagine that multiple experts could perform better given sufficient time. With only a few hours, most of the time seems like it'd be lost in inefficient human IPC.
Re: Google’s AlphaGo AI defeats team of five leading Go players
#9Is playing go as a team something that people do? It seems unintuitive. I'd expect a team of 5 experts to play worse than one expert.
Pair Go matches are trendy these days from what I read. It's a good training process for stronger player teaching the relatively weaker player in the pair in real matches.
Team Go playing is probably a different story I agree.
Re: Google’s AlphaGo AI defeats team of five leading Go players
#10Is playing go as a team something that people do? It seems unintuitive. I'd expect a team of 5 experts to play worse than one expert.
Yes and no.
I always said in Pair Go , that 1 bad idea is better than 2 good ones.
But provided discussion, you can be a lot more thorough in consensus. Professional analyze and study games in groups, and some thing come out of that.
I'd say overall the result is a game with no blunders , but no edge. Since you are sharing the blame of a loss, you are not as focused on winning as you are on not losing.