On Tue, Dec 22, 2015 at 10:02 PM, J Rao <[email protected]> wrote:

> Right, that's one possibility, but I think bandwidth may be a problem. I
> don't quite remember brain's bandwidth, but I think it's orders of
> magnitude higher than Gigabit Ethernet...
>

sure bandwidth might be high, because the brain processes completely in
parallel,
however  it does so very slowly, about 6 or 7 orders of magnitude slower.
also with FPGA's we can do everything in parallel,
parallel computing is getting more popular in general,
such as GPU programming, which seems to be on the roadmap for OpenAI.
basically all super computers are parallel processors.



>
> On 12/20/2015 6:02 PM, Ben Goertzel wrote:
>
>>
>>
>> On Sun, Dec 20, 2015 at 5:59 PM, J Rao <[email protected] <mailto:
>> [email protected]>> wrote:
>>
>>     AGI will also be constraint by scarcity of resource, at least in
>>     the beginning. That resource is computation power, just because
>>     you get the source code doesn't mean you can run it, or run it
>>     fastenough to matter. If the first AGI can only be run in real
>>     time on 10,000 GPU clusters, then open source its code would just
>>     give power to the rich and stupid, a very dangerous combination.
>>
>>
>>
>> True, this is a potential issue....   Just like right now, the best
>> results in deep learning based face classification are had by those big
>> companies with the biggest image DBs and distributed networks ...
>>
>> Time to get a P2P AGI@Home (or AGI@Smartphone) initiative up and running
>> finally?  A global AGI brain running on the spare cycles of zillions of
>> smartphones...?
>>
>>
>>
>>
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