Oh, is it possible to provide those variants? Or is there a recording
of the broadcast, reading the board is probably enough to roughly
understand it.

2016-03-13 10:32 GMT+01:00 Chun Sun <sunchu...@gmail.com>:
> Hi Marc,
>
> "but did not find a "solution" for Lee Sedol that broke AlphaGos position"
> -- this is not true. Ke Jie and Gu Li both found more than one way to break
> the position :)
>
> On Sun, Mar 13, 2016 at 5:26 AM, Marc Landgraf <mahrgel...@gmail.com> wrote:
>>
>> What is the most interesting part is, that at this point many pro
>> commentators found a lot of aji, but did not find a "solution" for Lee
>> Sedol that broke AlphaGos position. So the question remains: Did
>> AlphaGo find a hole in it's own position and tried to dodge that? Was
>> it too strong for its own good? Or was it a misevaluation due to the
>> immense amounts of aji, which would not result in harm, if played
>> properly?
>>
>>
>> 2016-03-13 9:54 GMT+01:00 Darren Cook <dar...@dcook.org>:
>> > From Demis Hassabis:
>> >   When I say 'thought' and 'realisation' I just mean the output of
>> >   #AlphaGo value net. It was around 70% at move 79 and then dived
>> >   on move 87
>> >
>> >   https://twitter.com/demishassabis/status/708934687926804482
>> >
>> > Assuming that is an MCTS estimate of winning probability, that 70%
>> > sounds high (i.e. very confident); when I was doing the computer-human
>> > team experiments, on 9x9, with three MCTS programs, I generally knew I'd
>> > found a winning move when the percentages moved from the 48-52% range
>> > to, say, 55%.
>> >
>> > I really hope they reveal the win estimates for each move of the 5
>> > games. It will especially be interesting to then compare that to the
>> > other leading MCTS programs.
>> >
>> > Darren
>> >
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