John,
I tested Exeter, NH to LA at 5371kbs download, and 362Kbs upload. Strangelly
my scores were slightly slower to NYC.
Just throwing out ideas, for example, AGI-at-home PC's in the net could
crawl the web looking for reasonable NL text. Use current NL tools to guess
parse and word sense. Fo
I currently think there are some human human-level intelligences who know
how to build most of an AGI, at least enough to get up and running systems
that would solve many aspects of the AGI problem and help us better
understand what, if any other aspects of the problem needed to be solved. I
think
--- Dennis Gorelik <[EMAIL PROTECTED]> wrote:
> Matt,
>
> > Using pointers saves memory but sacrifices speed. Random memory access is
> > slow due to cache misses. By using a matrix, you can perform vector
> > operations very fast in parallel using SSE2 instructions on modern
> processors,
> >
Well...
Have you ever tried to understand the code created by a decompiler?
Especially if the original language that was compiled isn't the one that
you are decompiling into...
I'm not certain that just because we can look at the code of a working
AGI, that we can therefore understand it. N
John,
> If you look at nanotechnology one of the goals is to build machines that
> build machines. Couldn't software based AGI be similar?
Eventually AGIs will be able to build other AGIs, but first AGI models
won't be able to build any software.
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> From: Dennis Gorelik [mailto:[EMAIL PROTECTED]
> There are programs that already write source code.
> The trick is to write working and useful apps.
Many of the apps that write code basically take data and statically convert
it to a source code representation. So a code generator may allow you t
Mike Tintner wrote:
RL:However, I have previously written a good deal about the design of
different types of motivation system, and my understanding of the likely
situation is that by the time we had gotten the AGI working, its
motivations would have been arranged in such a way that it would *wan
