On 6/2/07, Mark Waser <[EMAIL PROTECTED]> wrote:

 >> Yes, I believe there're people capable of producing income-generating
stuff in the interim.  I can't predict how the project would evolve, but am
optimistic.

Ask Ben about how much that affects a project . . . .



The need to create commercial products in the interim stages of an AGI
project places a tremendous burden and constraint on the project.  This
should be pretty obvious.

As an analogue, consider quantum computing.  10 years ago, as a commercial
enterprise, it was a total non-starter.  Now there are some commercial QC
companies springing up, but they're pretty much just spending investment $$,
not bringing in revenue from products.  Only once QC is a lot more mature
will it be possible to bring in revenue from incremental developments in the
course of research.

This doesn't mean QC is bullshit.  It just means it is at an R&D phase
rather than a productization phase.

I think that AGI is somewhat similar to QC in this regard.  But what is
misleading is that AGI systems may share some technology components with
narrow-AI systems, which are indeed (in many cases) incrementally
monetizable in incremental stages.

Now, here is what happened with Novamente.  We spent 5-6 years of slow
part-time development, designing and building our system.  And now, finally,
we are at a point where we can generate revenue from ongoing incremental
improvements of the system.

Now we have a system that can useful control learning agents in 3D virtual
worlds, which is a viable business market.  And as we make the system
smarter and smarter over the coming years, we will be able to monetize the
improved versions via launching more and more useful virtual agents.

So, I think we can now make the "fund AGI R&D via profits gained from
monetization of incrementally improving system versions" model work.  But if
so, it is only because

a) we found a business niche that fits our AGI design and its early-stage
capabilities, and is also a "hot market"

b) ***we put in a whole bunch of time doing pure R&D work first*** ...
funding it mostly via (very modest) profits from narrow-AI consulting work;
and also a tiny amount of investment money

-- Ben G

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