From: Gary Miller (firstname.lastname@example.org)
Date: Thu May 22 2003 - 17:56:21 MDT
>> The computer assets per AI worker are on the order of $2,000,
>> adjusting for depreciation. Typical CPU is the AMD 2000+, and
>> desktop computers average about one year old, with the power users
>> receiving a new computer each year.
Stephen in your opinion, what percent faster would your workers be able
to complete their jobs if their systems were 10 times faster?
I would assume their productivity would not increase a 1000% also?
I keep hearing people say just because the systems will be faster that
will have a major impact on making making FAI occur faster.
My intuition tell me this is not correct, since when I double the power
CPU I am lucky if my productivity increases by more than 6 or 7 percent
Am using my machine for AI research also!
From: email@example.com [mailto:firstname.lastname@example.org] On Behalf Of Stephen
Sent: Thursday, May 22, 2003 5:52 PM
Subject: Re: Failure of AI so far
On Thu, 22 May 2003, Dani Eder wrote:
At Cycorp, we have a staff of approximately 60 workers (aside from
admin) who mainly use white box AMD computers running Linux. We also
have a white box server farm for email, file storage, databases, web
sites and so forth that is very much what one would expect for a
computer software company our size.
The computer assets per AI worker are on the order of $2,000, adjusting
for depreciation. Typical CPU is the AMD 2000+, and desktop computers
average about one year old, with the power users receiving a new
computer each year.
We are able to hire more staff by using commodity computers.
I believe that we are the largest government funded AI organization.
> Using my own workplace, the Space Station software
> test lab, as an example of a government funded
> computer lab, we have about $100K of equipment per
> person. So a well-funded AI project with half a
> dozen people (my guess at how large such a project
> would be today) might afford $600K in computers.
> This will buy you at present about 2.5 Tflops in
> a commodity cluster type setup. So in the next
> few years I expect to start seeing some real progress
> in AI research because the hardware is starting
> to get powerful enough.
-- =========================================================== Stephen L. Reed phone: 512.342.4036 Cycorp, Suite 100 fax: 512.342.4040 3721 Executive Center Drive email: email@example.com Austin, TX 78731 web: http://www.cyc.com download OpenCyc at http://www.opencyc.org ===========================================================
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