On Tue, Jan 8, 2013 at 1:05 AM, Todor Arnaudov <[email protected]> wrote:
>>Let's assume that we have cheap, powerful hardware (enough to model
>>human brains) and that we solved the hard AI problems like language,
>>vision, art, robotics, and modeling human behavior.
>
> Sorry, but I'll object again, none of those is a hard problem, at lest for
> some AGI or natural GI agents.

OK, then why haven't you solved them yet?

> Matt, I challenge you that a thinking machine that will learn to see, to
> speak and to interact using the "unsolved" problem for multi-modal learning,
> including tactile, in virtual worlds, can be run even on a Pentium Dual Core
> E5200, even in 32-bit mode. Well, let it be overclocked a bit, say 3.33 GHz.
> The stock speed of 2.5 GHz is benchmarked at up to several GFLOPS,
> regarding: http://browser.primatelabs.com/geekbench2/344462
> If there's some modest GPU - why not use it also, say a GeForce 8600 GT. It
> will learn to see through web cameras and watching recorded videos using any
> other cameras.

Are you telling me the reason you haven't solved AGI yet is because
you have an old computer?

>>I assume that knowledge can be copied to identical robots. There will
>>be some training cost paid to human teachers for any job that is even
>>slightly different. How much will it cost to train robots to do all
>>the work that humans do?
>
> Absolute nonsense, not that I'm saying something new, but that's utterly
> non-AGI-sh like many of your posts.
> What you say is "computers can ever do only what you know exactly how to
> tell them how exactly to do and code it exactly each step of what it will do
> with every specific situations".
>
> Zero learning and adaptation - why do you need grounding then? That limits
> your programs to what your tiny working-memory can hold - a few bites.

Do you know what grounding means? A blind person can tell you that the
sky is blue. That is an example of ungrounded knowledge like you would
find in a language model.

> As of the work that humans are paid to do - a lot of it is for doing nothing
> - a bunch of inefficient time-wasting or useless role playing games to make
> the fake social system work as it is and keep the status-quo.  An
> elaboration goes also to another article, though.

So employers pay people $70 trillion per year worldwide to do nothing?
I guess that does make the problem easier, then. So as soon as you
upgrade your computer, add a GPU, and write a bit of code we can
expect the robots to take over, right?

Why do I waste my time?

--
-- Matt Mahoney, [email protected]


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