From: Dani Eder (danielravennest@yahoo.com)
Date: Mon Jan 23 2006 - 16:49:01 MST
Assembling a computer with the
> same number of
> processing units and wires as a brain is pretty
> easy: making all the
> processors behave exactly as they behave in a
> particular brain, and
> making all the wires exactly follow the neural
> pathways in that same
> particular brain, are devastatingly hard with
> current technology. I
> mean, the word "hard" is a silly understatement
> here! I don't think it
> will be done before a superintelligent AGI is built.
But that's not necessary. Human DNA doesn't contain
all the information about every neuron and synapse,
either.
It has encoded the rules for how to grow a brain over
time.
We also know by example that it takes ~20 years to
train
a human brain, so the requirements to grow an AI are
more
like:
1 human-equivalent of hardware capacity (speed,
storage, etc)
+ proper software to grow the neural network and have
it
develop in response to inputs + 20 years of rich
inputs.
Since hardware has been developing rapidly, and faster
hardware shuld be able to learn faster, the earliest
date
for a trained AI occurs when you have about 10 human-
equivalents of hardware that can be trained in 2
years,
after which it shortly gets smarter than us because it
has 10x the capacity.
DRN
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