[ExI] sciam blog article

[Tomaz Kristan]

Those SciAm writers are ever more boring people.

But this one, claiming something about how Shannon's limit of computations
might be reached already in biological human brains and that via some
"timing coding", which should be impossible to imitate even with digital
computers .. he is beyond boring. That's silly, already.



On Thu, Mar 24, 2016 at 4:00 AM, John Clark <johnkclark at gmail.com> wrote:

>
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> On Wed, Mar 23, 2016 William Flynn Wallace <foozler83 at gmail.com> wrote:
>
> ​> ​
>> The Singularity and the Neural Code
>>
>>
>> http://blogs.scientificamerican.com/cross-check/the-singularity-and-the-neural-code/?WT.mc_id=SA_MB_20160323
>>
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>> Koch doubts, however, that the neural code “will be anything as simple
>> and as universal as the genetic code.”
>
>
> ​Well, we don't yet know what the brain'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 bits, there are 8 bits 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 brain 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 redundancy 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.
>
>  John K Clark
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