Yes, there's a basic mistake - you can't measure how big it is, if you don't
know what "it" is.
First work out what "it" is.
(or: You cannot measure a Rumsfeld, until you know what a Rumsfeld is.)
P.S. Here's a good one - work out the cost of the first true analog/mapping
computer, one that can recognize images by mapping them onto each other
rather than encoding/decoding them laboriously.
First obviously you have to work out how it will work.
-----Original Message-----
From: Matt Mahoney
Sent: Tuesday, April 09, 2013 4:48 PM
To: AGI
Subject: Re: [opencog-dev] Re: Complexity of vision (was Re: [agi] Utilizing
kickstarter.com?)
On Tue, Apr 9, 2013 at 11:33 AM, Mike Tintner <[email protected]>
wrote:
The point is that the project of understanding the brain is full of
Rumsfelds - unknown unknowns.
I realize that. Don't you think there is a reason for the last 60
years of AI failure?
Nobody knows how to estimate the cost, in hardware, software, and data
collection. I applied information theory and came up with some numbers
that everyone thinks is too high, I guess because it's like telling
them they will fail just like everyone else.
Perhaps you can do better? Is there a mistake in my math?
--
-- Matt Mahoney, [email protected]
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