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efta-efta01797918DOJ Data Set 10CorrespondenceEFTA Document EFTA01797918
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From:
Joscha Bach
Sent:
Thursday, Apr'
,
1
:
To:
Jeffrey Epstein
Subject:
Re:
Attachments:
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I remember how I played with neural networks as a student, and stumbled =n a solution where I could speed up the
learning dramatically by =etting the network estimate how well it knew certain parts of the =roblem space, and focus its
learning on that area. The next step was to =et the net decide what training data it wanted to look at. Obviously, =sking
is better than observing. But for current Al systems, questions =re much, much harder, of course, at least in the general
case. To ask a =uestion, I must know what I do not know, and I must know what someone =Ise knows, and how to
translate and fit the answer into my knowledge. =onsequently, even people seem to find asking much harder than
=nswering. (Different rules may apply to socially regulated contexts.)
Children ask "true questions", in which they try to form complex models =or the first time. Once people have a model in
place, they tend to only =sk for variables ("at which time does the train leave"), and when they =onverse about each
others life, they tend not to be interested in model =evisions, but in mapping what they hear to existing variants of the
=stablished. This seems to be even true when scientists extend their =heories: the natural inclination seems to be to find
supporting =vidence to allow me to let the model stay in place, and simply adjust =t. Since a model revision would
require to adjust all inferences and =onnections tied to the discarded model, this makes sense.
Looking at question asking systems seems to be an extremely promising =venue for Al research. I suppose we have to
treat knowledge classes =uite differently: questions about basic linguistic structure can only =e answered by other
speakers. Questions about conceptual maps can only =e inferred from statements of others. Questions about content
can in =rinciple be deduced from individual observations, and asking questions =to others) is simply a shortcut.
The nature of question-asking seems to differ significantly between most =spergers and most neurotypicals. The former
try to find out what is =rue, with the null hypothesis usually being that their own idea is =ight when it conflicts with what
others tell them. Aspergers tend to =hange their opinions based on how they judge the logical truth of the =rguments of
the other side. Neurotypicals tend to look for the "right" =nswer, not the true one, i.e. they try to align themselves with
the =entiments and norms of people they assign social status. The primary =echanism for this seems to be "emotional
synesthesia", i.e. they =iterally feel the emotions of other people as their own, including the =ense of rightfulness that
accompanies a statement. Successful speakers =an project both conviction and high social status. Neurotypicals erect
=ocial boundaries to a large extent to avoid "infection" with "bad" =pinions. I find that my intuitions about building Al
(and about forming =nowledge, negotiating norms etc.) are largely influenced by being not =eurotypical (and that is
definitely true for the most capable people in =he field). It is very visible in Marvin Minsky and Noam Chomsky, I =hink. I
wonder what we are missing, especially since my intuitions and =pparent experience tell me that non-nerds rarely
stumble on the right =nswers to complex problems.
What do you think?
—J
> On Apr 26, 2016, at 08:45, jeffrey E. <[email protected]> wrote:
> how are quesitons formulated by ai systems answers are easier than =ormulating good question
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