I was talking about software specifically designed to understand human
language and human-level concepts. And it should ask *each* person for
their preferences as needed, which reduces cost by not gathering
information before it is needed and therefore taking a chance on wasting
its time and being wrong because that information could change before it
becomes useful. And I don't see a reason why choices that would only affect
a particular subgroup wouldn't result in consideration of only that
subgroup's preferences. So there would be room for many parallel decision
making processes which for the most part would be utilizing local
information to make local decisions.

On Fri, Aug 24, 2012 at 4:52 PM, Matt Mahoney <[email protected]>wrote:

> On Fri, Aug 24, 2012 at 5:31 PM, Aaron Hosford <[email protected]>
> wrote:
> >
> > I meant literally, "Make people happy," in those words, maybe with an,
> > "Ask people what makes them happy," tacked on or hardcoded in.
>
> There is no hardware architecture that I am aware of that has a "make
> people happy" instruction. You still need to give it 10^17 bits of
> human knowledge before it knows how to do this. And who says you will
> be the one to give it these instructions? There are 7 billion other
> people, and they may have other ideas what the AGI should do.
>
> So what's the point? You aren't reducing the cost of AGI, and you are
> taking a safe design (where everyone has a tiny bit of control in a
> competitive market) and making it dangerous by giving it a simplistic
> (and therefore wrong), central goal for all of humanity.
>
>
> -- Matt Mahoney, [email protected]
>
>
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