[ExI] sciam blog article

John Clark johnkclark at gmail.com
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
complexity between a humble mediocre master learning algorithm and an
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​
difference between the two species. And all that
 meg can't be used for just the improved master learning algorithm,  I
believe there may be some physical differences between humans and chimps

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
install some new software, and at the time it seemed
like a
program, it was about one meg. The human master learning algorithm might
not be much larger.

 John K Clark
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