Hi Ben,
Thanks for the brain teaser! As a sometimes believer in Occam's Razor, I
think it makes sense to assume that Xi and Xj are indepenent, unless we know
otherwise. This simplifies things, and is the rational thing to do (for
some definition of rational ;-). So why not construct a bayes
Hi Margeret,
Margeret wrote:
I don't mean to be rude here- but it may help you to follow some of
the PSYCHE-D discussions on the Zombie argument. Their structure may
help you to unravel some of your philosophical dead-ends. I don't mean
to suggest that we don't all create them for our selves
Sorry everyone, that last message was obviously not
meant to go to the list... :-(
Moshe
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Hi,
In a private email, Moshe Looks added a common complaint that I'd
forgotten:
Complaint: Learning to be intelligent isnt possible without building up
abstract cognitions hierarchically from a foundation of content-rich
sensory
and action streams. While Novamente can deal
Hi Ben,
I have written two essays on the nature of future AGI's that are smart
enough to use theorem-proving to guide their every action:
...
Yes, we are a long way from there now! But it's always fun to
speculate
The two essays are a series; by the end of the second one things get
fairly
On the Dangers of Emulating Biological Drives in Artificial Intelligences
A scientist once shook his head
and exclaimed My career is now dead;
for although my AI
has an IQ that's high
it insists it exists to be bred!
Benjamin Goertzel wrote:
On the Dangers of Incautious Research and
Derek Zahn wrote:
Ben Goertzel writes:
http://www.nvidia.com/page/home.html
Anyone know what are the weaknesses of these GPU's as opposed to
ordinary processors?
They are good at linear algebra and number crunching, obviously.
Is there some reason they would be bad at, say,
Derek,
Do you personally think MOSES will run well on a GPU?
In general no, adding more cores and processors will be a much greater
win. But there are many use cases for MOSES within Novamente with
diverse and demanding performance requirements - GPUs could definitely
help with some of
For anyone interested in approaches to AGI involving program-learning,
or AGI-related work in Lisp, check out http://code.google.com/p/plop/
. The project wiki has some info on the project's assumptions and
where it is going.
Official announcement and capsule description on the Google
Open-Source
internship program at: http://www.google.com/jobs/students
Please contact me directly (off-list) if you are interested.
Thanks!
Moshe Looks
P.S. Disclaimer: I can't promise anyone an internship, you have to go
through the standard Google application interview process for
interns, yada yada
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