On Sat, Nov 22, 2014 at 7:19 PM, Tim Tyler via AGI <[email protected]> wrote:
>> No, Wikipedia isn't code. It's training data. [...]
>
> The distinction between "code" and "data" is quite a blurry one, though -

The important difference is that it costs 100 times more to write a
line of code than a line of natural language text.

> The claim
> that most of the human genome is more like "code" than it is like
> "data" seems to me as though it would need to be supported.

Evolution can only add log(n) bits of information per generation to
the genome, where n is the ratio of children to parents. It's
expensive like code. Information that can be transmitted
epigenetically like language and culture is cheaper, like data.

> Maybe. Another hypothesis is a relatively recent common ancestry
> from a creature with a fairly large-genome.  The distribution of genome
> sizes might help to resolve this one - if there's really a wall at the lower
> end, that might show up in the distribution of genome sizes.

http://en.wikipedia.org/wiki/Genome_size
There is a wide range among related species, but definitely a lower
bound that increases for higher organisms.

> I think this
> means that we can forget about human level machine intelligence, work on 
> swarms
> of relatively stupid minions and use the magic of collective intelligence and 
> crowd-
> power to get them to perform useful work for us.

Like gray goo or genetically engineered pathogens? It's easy to create
computing power. It's much harder to get machines to know what we
know. That's essential if we want to communicate with them
efficiently, like we do with people. We have a lot of knowledge in our
brains, but it is only accessible through slow communication channels.

-- 
-- Matt Mahoney, [email protected]


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