Sure, but that's not the "FOOM" scenario, in which an AI modifies its own
source code, gets smarter, and with the increase in intelligence, is able
to make yet more modifications to its own source code, and so on, until its
intelligence far outstrips its previous capabilities before the recursive
self-improvement began. It's hypothesized that such a process could take an
astonishingly short amount of time, thus "FOOM". See
https://wiki.lesswrong.com/wiki/AI_takeoff#Hard_takeoff for more.

My point was that the inherent limitation of a mind to understand itself
completely, makes the FOOM scenario less likely. An AI would be forced to
model its own cognitive apparatus in a necessarily incomplete way. It might
still be possible to improve itself using these incomplete models, but
there would always be some uncertainty.

Another more minor objection is that the FOOM scenario also selects for AIs
that become massively competent at self-improvement, but it's not clear
whether this selected-for intelligence is merely a narrow competence, or
translates generally to other domains of interest.


On Thu, Jul 11, 2019 at 2:56 PM 'Brent Meeker' via Everything List <
[email protected]> wrote:

> Advances in intelligence can just be gaining more factual knowledge,
> knowing more mathematics, using faster algorithms, etc.  None of that is
> barred by not being able to model oneself.
>
> Brent
>
> On 7/11/2019 11:41 AM, Terren Suydam wrote:
> > Similarly, one can never completely understand one's own mind, for it
> > would take a bigger mind than one has to do so. This, I believe, is
> > the best argument against the runaway-intelligence scenarios in which
> > sufficiently advanced AIs recursively improve their own code to
> > achieve ever increasing advances in intelligence.
> >
> > Terren
>
>
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