HI,
Currently Ben's Novamente is among the most mature and promising AGIs
out there, which I think is no small accomplishment. But still, it is
not yet clear that NM will be the *ultimate* winner, if we take
into consideration the entry of the big guys (eg Microsoft, Google,
DARPA etc)
On 3/17/07, Ben Goertzel [EMAIL PROTECTED] wrote:
4) So, the question is not whether DARPA, M$ or Google will enter the
AI race -- they are there. The question is whether they will adopt a
workable approach and put money behind it. History shows that large
organizations often fail to do so,
4) So, the question is not whether DARPA, M$ or Google will enter the
AI race -- they are there. The question is whether they will adopt a
workable approach and put money behind it. History shows that large
organizations often fail to do so, even when workable approaches exist,
allowing
On 3/18/07, Ben Goertzel [EMAIL PROTECTED] wrote:
If we succeed at creating the first AGI, it will not be because anything
fell into our hands. It will be because we
a) put in the many years of hard thinking to create a working AGI design
b) put in the many years of hard, often tedious, work
Hi,
The question is whether your work can be duplicated after your initial
success, and how hard is that.
It certainly could be duplicated but once we demonstrate enough
success that everyone wants to copy us,
then we will be able to raise all the $$ we want and hire all the great
On 17/03/07, YKY (Yan King Yin) [EMAIL PROTECTED] wrote:
PS -- remember also the history of UNIVAC. Eckert and Mauchly made some
ground-breaking progress in early computing, including the stored-program
concept which somehow was stolen / co-discovered by von Neumann. Later von
Neumann
Hi all,
This doesn't really showcase Novamente's learning ability very much --
it's basically a smoke test of the integration of Novamente probabilistic
learning with the AGISim sim world -- an integration which we've had
sorta working
for a while but has had a lot of kinks needing
It's difficult to judge how impressive or otherwise such demos are, since it
would be easy to produce an animation of this kind with trivial
programming. What are we really seeing here? How much does the baby AGI
know about fetching before it plays the game, and how much does it need to
learn?
On 3/17/07, Ben Goertzel [EMAIL PROTECTED] wrote:
This doesn't really showcase Novamente's learning ability very much --
it's basically a smoke test of the integration of Novamente probabilistic
learning with the AGISim sim world -- an integration which we've had
sorta working for a while but
What's the size of the space NM is searching for this plan?
If you rewarded it for, say, regularities in arithmetic, starting with set
theory, how long would it take it to come up with, say, Goldbach's
conjecture?
Josh
On Saturday 17 March 2007 16:05, Ben Goertzel wrote:
Hi all,
This
Bob Mottram wrote:
It's difficult to judge how impressive or otherwise such demos are,
since it would be easy to produce an animation of this kind with
trivial programming. What are we really seeing here? How much does
the baby AGI know about fetching before it plays the game, and how
What's the size of the space NM is searching for this plan?
Well that really depends on how you count things
One way to calculate it would be to look at the number of trees with 15
nodes, with say 20 possibilities at each node.
Because in practice the plans it comes up with, with
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