--- Eugen Leitl <[EMAIL PROTECTED]> wrote:

> On Mon, May 14, 2007 at 08:21:45PM -0700, Tom McCabe
> wrote:
> 
> > Hmmm, this is true. However, if these techniques
> were
> > powerful enough to design new, useful AI
> algorithms,
> > why is writing algorithms almost universally done
> by
> > programmers instead of supercomputers, despite the
> > fact that programmers only work twelve hours a day
> and
> > have to get paid?
> 
> A supercomputer has a price tag of several M$ and
> has
> a yearly burn rate in the same ballpark. These days,
> you can hire many experts for that budget.

So, we actually have a working supercomputer that can
design algorithms as efficiently as a computer
scientist? What's the name of the software?

> Secondly, if #1 at TOP 500 is about a realtime mouse
> equivalent (no, I don't want to hear any "but
> they're
> doing it wrong" blahblah), how much would you pay a
> rodent?

A rodent cannot do much that is useful economically.
The idea behind the rodent simulation isn't to put the
real rodents out of work- it's to study the rodent's
behavior in a sandbox environment.

> Thirdly, there are bootstrap issues. You need to
> spend
> a lot of brute-force evolution, until you evolve
> enough
> to be able to evolve.

What? Please explain.

> Fourthly, if you can't think of a thing to do with a
> lot
> of computational resources for AI, don't assume the
> rest of us can't.

I'm sure there's something you could do with more
computational resources- it's just not the *limiting
factor* for developing AGI. Limited computing power is
not the *primary* reason we don't yet have a working
AGI, because even if we had infinite computing power
we'd still have no AGI software to run on it. In the
same vein, more wood certainly helps a fire burn, but
a lack of wood wasn't the reason it took us thousands
of years to learn how to harness fire.

> -- 
> Eugen* Leitl <a href="http://leitl.org";>leitl</a>
> http://leitl.org
>
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