Rooftop8000 writes:
Yes, but software doesn't need to see or walk around because it lives
inside a computer. Why aren't you putting in echo-location or knowing how
to flaps wings?
In my opinion, those would be viable things to include in a proto-AGI. They
don't lead as directly to conceptua
>
> > You're just hoping you only have to do one thing so you can forget about
> > all the other stuff that is required.
>
> No. I don't think that other stuff required can be done. This is
> the same reason I don't subscribe to SENS. I thought this was unlikely
> when I was a 15 year old, and
e of that.
> -- David Clark
>
> - Original Message -
> From: "Eugen Leitl" <[EMAIL PROTECTED]>
> To:
> Sent: Wednesday, March 21, 2007 2:04 PM
> Subject: Re: [agi] Fwd: Numenta Newsletter: March 20, 2007
>
>
> > On Wed, Mar 21, 2007 at 10:47:35AM -0
-- David Clark
- Original Message -
From: "Eugen Leitl" <[EMAIL PROTECTED]>
To:
Sent: Wednesday, March 21, 2007 2:04 PM
Subject: Re: [agi] Fwd: Numenta Newsletter: March 20, 2007
> On Wed, Mar 21, 2007 at 10:47:35AM -0700, David Clark wrote:
>
> > In my previous email
On Wed, Mar 21, 2007 at 10:47:35AM -0700, David Clark wrote:
> In my previous email, I mistakenly edited out the part from Yan King Yin and
> it looks like the "We know that logic is easy" was attributed to him when it
> was actually a quote of Eugen Leitl.
>
> Sorry for my mistake.
It's not you
On Wed, Mar 21, 2007 at 12:00:09PM -0700, rooftop8000 wrote:
> Trying to make a seed AI is the same as hoping to win the lottery.
Winning the lottery is an unbiased stochastical process. Darwinian
co-evolution is a highly biased stochastical process. Seeds are one-way
hashes (morphogenetic code
>
> We've desintegrated into discussion minutiae (which programming language,
> etc.)
> but the implicit plan is to build a minimal seed that can bootstrap by
> extracting knowledge from its environment. The seed must be open-ended,
> as in adapting itself to the problem domain. I think vision i
t; <[EMAIL PROTECTED]>
To:
Sent: Wednesday, March 21, 2007 10:33 AM
Subject: Re: [agi] Fwd: Numenta Newsletter: March 20, 2007
> - Original Message -
> From: "Eugen Leitl" <[EMAIL PROTECTED]>
> To:
> Sent: Wednesday, March 21, 2007 4:32 AM
> S
- Original Message -
From: "Eugen Leitl" <[EMAIL PROTECTED]>
To:
Sent: Wednesday, March 21, 2007 4:32 AM
Subject: Re: [agi] Fwd: Numenta Newsletter: March 20, 2007
> On Wed, Mar 21, 2007 at 06:12:45PM +0800, YKY (Yan King Yin) wrote:
>
> We know that logic is
I've read the whitepaper on HTM's and NuPIC. It seems more of a
marketing strategy to attract laypeople, since I can't see anything it
can solve that a NN (a recurrent and well designed/evolved one with a
little preprocessing of input) can't.
On 3/21/07, Chuck Esterbrook <[EMAIL PROTECTED]> wrote
On 21/03/07, Ben Goertzel <[EMAIL PROTECTED]> wrote:
* use a combination of lidar and camera input
* write code that took this combined input to make a 3D contour map of
the perceived surfaces in the world
* use standard math transforms to triangulate this contour map
* use some AI heuristics (w
I think making direct comparisons between computational power and the animal
kingdom has always been a questionable exercise, but I generally agree with
trying to tackle problems in a similar order that evolution did, because
evolution needed to find incremental solutions.
I've long wanted to bui
Eventually, yeah, a useful AGI should be able to process visual info,
just like it should be able to understand human language.
Being able to learn to see and to learn to hear, yes? How much
of it do you expect to be hardwired?
E.g. part of what cochlea does directly in hardware is a Fou
On Wed, Mar 21, 2007 at 08:21:57AM -0400, Ben Goertzel wrote:
> Eventually, yeah, a useful AGI should be able to process visual info,
> just like it should be able to understand human language.
Being able to learn to see and to learn to hear, yes? How much
of it do you expect to be hardwired?
E.
FYI...After reading Hawkins book I actually believe that his ideas may
indeed underlie a future AGI system...but they need to be fleshed out in
much greater detail...
Cheers,
K
Their current concept implementation did not change substantially since
their first "proof-of-concept" implementation
Chuck Esterbrook wrote:
On 3/20/07, Ben Goertzel <[EMAIL PROTECTED]> wrote:
I would certainly expect that a mature Novamente system would be able to
easily solve this kind of
invariant recognition problem. However, just because a human toddler
can solve this sort of problem easily, doesn't
mean
On Wed, Mar 21, 2007 at 06:12:45PM +0800, YKY (Yan King Yin) wrote:
>Hi Eugen, This opinion is *biased* by placing too much emphasis on
>sensory / vision. I tried to build such a vision-centric AGI a couple
We know that logic is easy. People only had to learn to deal with
it evolutionar
Having had a long standing interest in machine vision I find this demo
deeply unimpressive. It's a classic example of the kind of "toy" problem
which may work well within its very restricted domain but when supplied with
more realistic data (i.e. photos of real objects) fails catastrophically.
Sc
On 3/21/07, Eugen Leitl <[EMAIL PROTECTED]> wrote:
The best way to extract information is by observing the environment.
The only way to build effective robotics platform is use vision, or
an equivalent high-bandwidth channel.
This is the acid test for any useful general AI. If it can't learn
to
On Tue, Mar 20, 2007 at 09:20:06PM -0700, Chuck Esterbrook wrote:
> I generally agree, but wanted to ask this: Shouldn't AGIs be visual in
> focus because we are? We want AGIs to help us with various tasks many
The best way to extract information is by observing the environment.
The only way to b
http://www.sapiosciences.com
-Original Message-
From: Chuck Esterbrook [mailto:[EMAIL PROTECTED]
Sent: Wednesday, March 21, 2007 12:20 AM
To: agi@v2.listbox.com
Subject: Re: [agi] Fwd: Numenta Newsletter: March 20, 2007
On 3/20/07, Ben Goertzel <[EMAIL PROTECTED]> wrote:
> I would certain
On 3/20/07, Ben Goertzel <[EMAIL PROTECTED]> wrote:
I would certainly expect that a mature Novamente system would be able to
easily solve this kind of
invariant recognition problem. However, just because a human toddler
can solve this sort of problem easily, doesn't
mean a "toddler" level AGI sh
Kevin Cramer wrote:
I tested this and it is very very poor at invariant recognition. I am
surprised they released this given how bad it actually is. As an example I
drew a small "A" in the bottom left corner of their draw area. The program
returns the top 5 guesses on what you drew. The lette
Esterbrook [mailto:[EMAIL PROTECTED]
Sent: Tuesday, March 20, 2007 11:17 PM
To: agi@v2.listbox.com
Subject: [agi] Fwd: Numenta Newsletter: March 20, 2007
"recognition ... irrespective of scale, distortion and noise" sounds pretty
interesting. Are these capabilities outside of current NN
"recognition ... irrespective of scale, distortion and noise" sounds
pretty interesting. Are these capabilities outside of current NNs? I'm
familiar with NNs ignoring noise, but not scale. But my NN
investigations are several years old...
I wonder if distortion includes any degree of rotation. I
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