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...
On 12/20/2015 6:02 PM, Ben Goertzel wrote:
On Sun, Dec 20, 2015 at 5:59 PM, J Rao <jr...@live.com
<mailto:jr...@live.com>> 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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