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Yup, agree with John here. Of course, a simple genetic program can
still "cheat" by getting existing physics and biochemistry to do
complex things like assemble structures, but the truth remains that
the recipe for a mind can be surprisingly small.<br>
<br>
On a mildly related note, Scott Aaronson has a new cool result:<br>
<a class="moz-txt-link-freetext" href="http://www.scottaaronson.com/blog/?p=2725">http://www.scottaaronson.com/blog/?p=2725</a><br>
There exist a one-tape, two-symbol Turing machine with 7,918 states,
whose behavior (when run on a blank tape) can never be proven from
the usual axioms of set theory. This is a constructive upper bound
on how small TMs can be and yet produce profoundly nontrivial
behavior - there are surely simpler ones, but this is a machine that
fits into the appendix of a paper. <br>
<br>
<br>
<div class="moz-cite-prefix">On 2016-05-10 04:27, John Clark wrote:<br>
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cite="mid:CAJPayv1x3gY-sO92ej3W6F1VZbajCBWX=6agSWK4Cj78xaNu8g@mail.gmail.com"
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<div class="gmail_default"
style="font-family:arial,sans-serif;font-size:12.8px"><font
size="4">We don't yet know what the <span class="">brain</span>'s
master learning algorithm is but we can put upper limits
on how complex that algorithm can be, and we know for a
fact it can't be all that complex. In the entire human
genome there are only 3 billion base pairs. There are 4
bases so each base can represent 2<span class="">bits</span>,
there are 8 <span class="">bits</span> per byte so that
comes out to 750 meg. Just 750 meg! And all that 750 meg
certainly can be used just for the master learning
software algorithm, you've got to leave room for
instructions on how to build a human body as well as the <span
class="">brain</span> hardware. So the instructions
MUST contain wiring instructions such as "wire a neuron up
this way and then repeat that procedure exactly the same
way 917 billion times". And the 750 meg isn't even
efficiently coded, there is a ridiculous amount of <span
class="">redundancy</span> in the human genome. So there
is no way, absolutely no way, the algorithm can be very
complex, and if Evolution could find it then it's just a
matter of time before we do too.</font></div>
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<pre class="moz-signature" cols="72">--
Anders Sandberg
Future of Humanity Institute
Oxford Martin School
Oxford University</pre>
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