Re: Intelligence increase

From: Samantha Atkins (
Date: Tue Oct 10 2000 - 13:24:56 MDT

Robin Hanson wrote:
> Samantha Atkins wrote:
> > > I find it striking that people seem to think that the speed and nature of
> > > learning is one area where AIs will be very different from humans, even
> > > though they seem to think AIs will be similar in so many other ways, ...
> >
> >A good and interesting point. One thing that seems less than certain to
> >me concerning future AIs and learning is the notion that they will be
> >almost totally able to share learned knowledge with one another
> >relatively fully and instantaneously. But if the AI has a lot of its
> >mentality modeled along the lines of neural nets ... once
> >learned it may be no easier to extract the learned knowledge cleanly
> >than in the case of a human because that net of information is quite
> >entangled with other things that have little to do with the subject
> >except to that particular individual. ...
> >Perhaps this is an argument for not using things that resemble such
> >networks for general knowledge acquisition and association.
> Your hypothesis seems to be that the architecture of the human mind is poor
> at communicating with other minds, and that some other architecture might do
> much better. You might be right, but I suspect that what you are seeing is
> mainly the intrinsic difficulty of communication, which any architecture
> will have to deal with. AI researchers will be very happy to have an
> architecture that even comes close to being as good as the human mind, and
> there's no obvious reason to expect them to do much better any time soon.

I think you have missed my point. My premise is that it is not the
inherent difficulty of communication that is the problem but the very
way the human brain is built and therefore learns and stores information
that is the difficulty. My its nature "learning" in the human brain (or
similarly build artificial brains) takes place by the associations
formed and stored. But this bundles up all learning with everything
else that is so cross-associated and makes both separation of the
learning and efficiently transferring it to another such mind quite

- samantha

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