The problem faced by AI developers is that machines don't know how to
do all the work that we currently pay people $70 trillion per year
worldwide to do. It requires that we solve hard problems in language,
vision, art, robotics, and modeling human behavior. It does not
require that whatever we build look or act like a human, or that it be
"conscious", "sentient", or "intelligent" or have "qualia" or a
"soul", however you might define these terms. It does not require
building something that has human goals or emotions, although for some
jobs it does require that it recognize goals and emotions in people
and use this information to predict human behavior.

It is easier to build machines designed to do specific jobs than to do
every possible job. It is also more efficient when the members of an
organization (whether people or machines) specialize. Therefore, most
of the work being done is in solving specialized tasks, what we
sometimes call "narrow AI". Some people believe that the problem can
be attacked by solving the general problem "AGI", which could be
trained to perform any job that a human could do. So far, investors
don't seem to agree. I believe that AGI will happen, but not by the
effort of any individual or small group. Rather it will take the form
of many specialists developed by global competition between
self-interested people, and a communication network that allows them
to share information. Because information can be shared much faster
than humans can communicate, the network of specialists will look like
a single entity with godlike intelligence.

--
-- Matt Mahoney, mattmahone...@gmail.com


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AGI
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