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 Post subject: Re: AlphaGo second paper released: AlphaGo Zero
Post #21 Posted: Sat Oct 21, 2017 6:30 am 
Honinbo

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Bonobo wrote:
Tangential … re: John’s quote of Amara’s Law

John Fairbairn wrote:
Cargo cult alert: "People tend to overestimate the effect of a technology in the short run and underestimate it in the long run."

This is a famous quotation though I don't know who said it. [..]

Amara’s Law:
We tend to overestimate the effect of a technology in the short run and underestimate the effect in the long run.
— Roy Amara

From the linked Wikipedia page:
Quote:
Roy Charles Amara (7 April 1925 – 31 December 2007]) was an American researcher, scientist, futurist and president of the Institute for the Future best known for coining Amara's law on the effect of technology.


See also https://spotlessdata.com/amaras-law


From https://en.wikipedia.org/wiki/Hype_cycle:

Image


The telegraph is a good example. Oh, wait! ;)

"And we get our news like lightning
On the telegraphic wire."
-- 19th century song

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 Post subject: Re: AlphaGo second paper released: AlphaGo Zero
Post #22 Posted: Sat Oct 21, 2017 8:04 am 
Gosei

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HKA wrote:
vier wrote:
I don't understand. Difference in rating is defined by winning probability.


If a rating system is based on winning probability, then of course it is defined by such.

However, I think what John means is that the program is so precise, it can win against humans all the time. To such a rating program, that might lead eventually to a rating of 20 dan - but in another sense - could it give a 9 dan 11 stones?

To me it is like comparing Go Seigen and Lee ChangHo in their primes. It certainly looked as if Go Seigen was 11 dan - he could probably hold his own against 9 dans at 2 stones - certainly he proved he could at one stone. Lee Changho, on the other hand seemed precisely one or two points better than everyone else - not ranks but points.

John is questioning whether the program is an uber Go Seigen, or simply an infallible Lee Changho


All this discussion about KGS ranks is flawed. There is no evidence that the rating system can be extrapolated accurately so far from the mass of the existing data. Pros used to play with handicaps in the past and one handicap stone corresponded to approximately three dan levels. Thus, if Alphago Zero were actually 20 dan on the pro scale, human 9-dans would only take three or four stones :) It might be interesting to see a trial in practice having Alphago Zero play Ke Jie with Ke taking handicaps to see just how big a handicap would be needed to give Ke a good chance of winning. Seems to me that it would not need such a big handicap. Maybe Alphago Zero wouldn't play, just resigning once the handicap stones were played. :)

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 Post subject: Re: AlphaGo second paper released: AlphaGo Zero
Post #23 Posted: Sat Oct 21, 2017 8:57 am 
Honinbo

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gowan wrote:
Maybe Alphago Zero wouldn't play, just resigning once the handicap stones were played. :)


:lol:

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 Post subject: Re: AlphaGo second paper released: AlphaGo Zero
Post #24 Posted: Thu Nov 02, 2017 10:23 am 
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Demis Hassabis said at Google Canada conference today that DeepMind 'may' resume AlphaGo Zero in the future, they can't find Zero's asymptote but they've to stop because they have to use computer for something else.
Image

His speech is in a part of this full conference video https://www.youtube.com/watch?v=n8uhm7wLWAE


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 Post subject: Re: AlphaGo second paper released: AlphaGo Zero
Post #25 Posted: Thu Nov 02, 2017 6:33 pm 
Oza
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pookpooi wrote:
Demis Hassabis [..]

His speech is in a part of this full conference video https://www.youtube.com/watch?v=n8uhm7wLWAE

Begins here https://youtu.be/n8uhm7wLWAE?t=3544 (to save you from having to go through ~8 hours of video ;) )

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 Post subject: Re: AlphaGo second paper released: AlphaGo Zero
Post #26 Posted: Fri Nov 10, 2017 8:02 am 
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Aja Huang has conference today at Taiwan. Here's some highlight from Google translation

60 games Master series were played from his home in Taiwan, he's so afraid of internet connection loss, and he play all day except when he's break for eating meal, and this is the picture of the meal
Image

When Fan Hui lost to AlphaGo in the second game he need to walk, and Aja Huang ask if he can walk with him because he's the only one who can speak Chinese beside Fan Hui, but Fan Hui said no, I just want to breath. And when he came back he became very positive

AlphaGo Zero use 2000 TPU for training (I check multiple source to confirm this, because 1000 TPU is already 44 petaflops, the fastest supercomputer in the world is 93 petaflops)

Aja Huang think Lee Sedol exude competitive aura, while Ke Jie exude friendly aura (I think maybe because they spoke the same language)

source in traditional chinese https://www.inside.com.tw/2017/11/10/aja-alphago-zero
in simplified chinese http://sports.sina.com.cn/go/2017-11-10 ... 4372.shtml


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