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<div class="moz-cite-prefix">On 06/26/2016 05:27 PM, John Clark
wrote:<br>
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<div class="gmail_default"
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style="font-family:arial,sans-serif">On Thu, Jun 23, 2016 at
5:33 AM, Robin D Hanson </span><span dir="ltr"
style="font-family:arial,sans-serif"><<a
moz-do-not-send="true" href="mailto:rhanson@gmu.edu"
target="_blank"><a class="moz-txt-link-abbreviated" href="mailto:rhanson@gmu.edu">rhanson@gmu.edu</a></a>></span><span
style="font-family:arial,sans-serif"> wrote:</span><br>
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> </div>
You don’t know that human brains are any more
modular than is typical software. </div>
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size="4">True.</font></div>
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You don’t know that it only embodies a small number
of principles, without masses of other
implementation details also required for it work.</div>
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<font size="4">But we do know from the size of the genome so
that mass of those other implementation details can't be
significantly larger than what software engineers are
already accustomed to. Of course because the code was nor
written by a human being it could still be hard for them
to figure out why it works, but as long as they know it
does work perhaps they don't need to know why to reverse
engineer it.</font></div>
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<font size="4">If you arguing from the size of the genome then that
is a bit odd. The brain physically is produced from the genome
over many years to full maturity. So you have a bit of generative
code that unfolds into something resembling an adult brain. OK.
Now what about all that content only vaguely caught by neural net
type things. And NNs are notoriously opaque to understand the
workings of quite unlike software most SEs deal with. We go out of
our way to avoid even modestly adaptive software systems that self
modify over time. The brain is a quite massive adaptive system.
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It is unclear whether and how soon the full enough brain state can
be capture in vivo and exactly what kind of computational
substrate is needed to run such a captured brain state. To
resolve that we do need to know a lot more about the brain and
perhaps about what parts of what the brain does we do and do not
want to have in our simulations/uploads/EMs. If we just take the
entire think then getting a rich enough simulation environment for
the upload to not go mad from lack of expected interactions. Thus
the simulation living environment becomes more complex if the
entire brain is taken including the need for simulated autonomous
nervous system, etc. <br>
<br>
I do have some hope and working hypothesis that a lot of a human
brain is mostly the same across all human brains with a much
smaller set of stuff that makes it unique. But again we have to
know a lot more about the brain to figure out which is which.<br>
<br>
I could be wrong but I have long had the opinion that getting to
AGI by uploading a human brain effectively is sort of like getting
to human flight capability by scaling up literal birds, flapping
and such and all. <br>
<br>
I think that we will arrive at distinctly not human AGI by a
mixture of methods long before we have true human upload
capability.<br>
<br>
- samantha<br>
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And you don’t know that the many different parts of
the brain are all written in the same “language”. </div>
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Language might not be the right word but I think there
is some reason to believe there is a common
architecture throughout mammalian brains. In the April
20 2000 issue of the journal Nature </div>
Mriganka Sur
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reports that he connected the nerves from the eyes
of </div>
newborn ferret
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s</div>
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<div class="gmail_default"
style="font-family:arial,helvetica,sans-serif;display:inline"><font
size="4">to the part of the brain normally used to
process hearing, and the animals grew into adults that
saw normally. So although different parts of the brain
process different types of information the various
regions can't be very specialized. </font></div>
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<div class="gmail_default"
style="font-family:arial,helvetica,sans-serif;display:inline"><font
size="4"> John K Clark </font></div>
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