Alan>My hypothesis is that we are currently on the climbing side of a hump
effect in AI. That is, until we really understand the computations
involved in AI, we will be spending more and more on ever larger and
more baroque neural simulations. Once we are over that hump, and have an
AI, we can start optimizing until the machine requirements for a very
capable system are down in the $50-100k range, assuming no changes in
hardware technology from today.


You don't say. :) Let me throw another hypothesis - thinking machines are
coming next year, or in worst scenarios - in a few years. At least as smart
as a few-year old child in some domains, but in other domains - vastly
above human level, ultra fast and making humans inappropriate in those
domains. Which ones? Watch for my products in the upcoming years.

$50-100k range - in case of hyperinflation, or if it comes with a humanoid
robot kit, or if it's packaged in a luxury (self-driving) car or in a
house, or if just the creators monopolize the market and deliberately put a
high price, due to the profit one who own a thinking machine could
generate, or/and due to high taxes, set in order to prevent economical
shock.

As of hardware prices - in my current intuitive estimates the nowadays PCs
are more than enough to grow thinking machines, at least like humans can
become intelligent either if born blind and deaf, or if just blond or deaf,
or if they have all those senses.

Adding more power would make it better and faster, but my estimate is that
a true AGI/SIGI is supposed to run on a very modest computer, even without
specific ASICs.

There's one problem that has been hampering the creation of thinking
machines so far, though - human intelligence...


....* Todor "Tosh" Arnaudov ....*
*
.... Twenkid Research:*  http://research.twenkid.com
* SIGI - self improving GI



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AGI
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