If only we were actually close enough to AGI that we really did need to
worry about this... Just consider this doing our part to give MIRI enough
fear-mongering fuel to keep their fund-raising going... ;-)

All the Best,

Matt


On Wed, Jan 4, 2017 at 5:49 PM, Ben Goertzel <[email protected]> wrote:

> hah, that's a pretty good point -- I guess we don't want the "AGI
> Exterminator" meme getting too prominent, though it might lead to a
> funky "Naked Lunch" movie sequel ...  (Burroughs meets Cronenberg
> meets Schwarzenegger -- just what the world needs!!)
>
> ...
>
> We could replace the sequence
>
> -- insects
> -- poison
>
> with
>
> -- human biology
> -- robots
>
> and see if it comes up with "cyborgs"  (as something suggested by both
> biology and robots)... and then for a distractor we could use
>
> -- human biology
> -- robots
> -- quantum theory
>
> (using "quantum theory" just to have something that will have
> relatively little intersection with either humans or robots...)
>
> I'd rather have people afraid of quantum cyborgs than of giant AGI
> cockroach-people exterminating everyone with cans of femtotech-powered
> uber-RAID or whatever ;p ....
>
>
>
>
>
> On Thu, Jan 5, 2017 at 6:51 AM, Ivan Vodišek <[email protected]> wrote:
> > Dear OpenCog group,
> >
> > I think it would be better if you choose some more altruistic example,
> when
> > you go public with this. Like connecting a disease with a cure in
> medicine,
> > or alerting humanity for problems about polluting the Earth by unsolvable
> > materials, or running out of the oil resources that only cause wars
> anyway,
> > or something else. I think there must be a better use than showing off an
> > "intelligent" killing machine. I mean something really influent, smart
> and
> > ambitious, decent of a unit that should overpass us by intelligence.
> >
> > Thank you for your time,
> > Ivan
> >
> > 2017-01-04 9:17 GMT+01:00 Ben Goertzel <[email protected]>:
> >>
> >> Misgana etc.,
> >>
> >> Summarizing our discussion in the office today...
> >>
> >> 1)
> >> Load ConceptNet and WordNet into the Atomspace (this should take many
> >> GB but there are instances on AWS with loads of GB of RAM)
> >>
> >> 2)
> >> Experiment A)
> >> -- feed the system 10 articles on insects to read
> >> -- feed the system 5 articles on poisons to read [but not on
> >> insecticide -- other kinds of poisons]
> >> -- see if insecticide-related Atoms pop up in the Attentional Focus
> >> (they should)
> >>
> >> 3)
> >> Experiment B1)
> >> -- feed the system 10 articles on insects to read
> >> -- feed the system 5 articles on poisons to read [but not on
> >> insecticide -- other kinds of poisons]
> >> -- feed the system one article on insects
> >>
> >> Experiment B2)
> >> -- feed the system 10 articles on insects to read
> >> -- feed the system 5 articles on poisons to read [but not on
> >> insecticide -- other kinds of poisons]
> >> -- feed the system one article on cars
> >>
> >>
> >> Here what we want to observe is whether in B1, the switch of attention
> >> from poisons back to insects, is faster than in B2, the switch of
> >> attention from poisons to cars
> >>
> >> 4)
> >> Now, take this same Atomspace with ConceptNet and WordNet in it, and
> >> load in Simple English Wikipedia.   The goal is not to have the system
> >> remember SEW, but rather to have it build HebbianLinks based on the
> >> SEW articles it is reading.   We can have the Forgetting agent run, so
> >> that the Atoms read from prior SEW articles will be forgotten to make
> >> room for the Atoms from newly read SEW articles.... (i.e. the new
> >> sentences from SEW articles will have high STI but low LTI, whereas
> >> the Atoms from WordNet and ConceptNet will have high LTI and thus be
> >> unlikely to get forgotten...)
> >>
> >> Then, re-run experiments A and B on this Atomspace with all the
> >> HebbianLinks in it
> >>
> >> An interesting parameter to play with here, is the amount of STI
> >> spreading that goes along HebbianLinks versus other links
> >>
> >> This gives a chance to play with the role of weak links in stabilizing
> >> networks, as discussed e.g. in the excellent book
> >>
> >>
> >> https://www.amazon.com/Weak-Links-Universal-Stability-
> Collection/dp/3540311513
> >>
> >> A hypothesis is that the presence of the weak HebbianLinks in the
> >> Atomspace will cause the behavior on experiments A and B to be better
> >> (i.e. more insecticide stuff in the AF in experiment A; more rapid
> >> switch back to insects in experiment B) ...
> >>
> >> ....
> >>
> >> These experiments should help us tune ECAN to work sensibly on large,
> >> moderately  messy Atomspaces ... and from here we should be able to
> >> move on to using ECAN to help provide guidance to PLN for common-sense
> >> inferences...
> >>
> >> -- Ben
> >>
> >>
> >> --
> >> Ben Goertzel, PhD
> >> http://goertzel.org
> >>
> >> “I tell my students, when you go to these meetings, see what direction
> >> everyone is headed, so you can go in the opposite direction. Don’t
> >> polish the brass on the bandwagon.” – V. S. Ramachandran
> >>
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> --
> Ben Goertzel, PhD
> http://goertzel.org
>
> “I tell my students, when you go to these meetings, see what direction
> everyone is headed, so you can go in the opposite direction. Don’t
> polish the brass on the bandwagon.” – V. S. Ramachandran
>
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