[ExI] sciam blog article

Sat Mar 26 20:28:08 UTC 2016

On Fri, Mar 25, 2016 Rafal Smigrodzki <rafal.smigrodzki at gmail.com> wrote:

> 
> I would expect that a compact description of AlphaGo's underlying
> algorithm is many times shorter than the description of that AI's final
> shape after playing millions of Go games.
>

I would expect the same thing,

and I would expect that the difference in
c
complexity between a humble mediocre master learning algorithm and an
a
astounding genius level

master learning algorithm

to be quite small. There are only about

 35 million DNA base pairs

that differ between the genome of a chimpanzee and the genome of a human;

2 bits

per base pair and

 8 bits per byte so

there is
less than 9

meg

difference between the two species. And all that
9
 meg can't be used for just the improved master learning algorithm,  I
believe there may be some physical differences between humans and chimps
too.

I remember

that a little before

the turn of the century I bought a fancy mouse for my computer

that had

a lot of new exotic features like a scroll wheel, but before my computer
could understand the signals from my high tech mouse I had to
i
install some new software, and at the time it seemed

like a

huge

program, it was about one meg. The human master learning algorithm might
not be much larger.

 John K Clark
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