RE: [agi] Cloud Intelligence

2008-11-03 Thread John G. Rose
 From: Matt Mahoney [mailto:[EMAIL PROTECTED]
 
 True, we can't explain why the human brain needs 10^15 synapses to
 store 10^9 bits of long term memory (Landauer's estimate). Typical
 neural networks store 0.15 to 0.25 bits per synapse.
 

This study - 
http://www.cogsci.rpi.edu/CSJarchive/1986v10/i04/p0477p0493/MAIN.PDF

is just throwing a dart at the wall. You'd need something more real life
instead of word and picture recall calculations to arrive at a number even
close to actual.

 I estimate a language model with 10^9 bits of complexity could be
 implemented using 10^9 to 10^10 synapses. However, time complexity is
 hard to estimate. A naive implementation would need around 10^18 to
 10^19 operations to train on 1 GB of text. However this could be sped
 up significantly if only a small fraction of neurons are active at any
 time.
 
 Just looking at the speed/memory/accuracy tradeoffs of various models
 at http://cs.fit.edu/~mmahoney/compression/text.html (the 2 graphs
 below the main table), it seems that memory is more of a limitation
 than CPU speed. A real time language model would be allowed 10-20
 years.
 

I'm sorry, what are those 2 graphs indicating? To get a smaller compressed
size more running memory is needed? That y-axis is a compressor runtime
memory limit specified by a command line switch or is it just what the
compressor consumes for the data to be compressed?

John



---
agi
Archives: https://www.listbox.com/member/archive/303/=now
RSS Feed: https://www.listbox.com/member/archive/rss/303/
Modify Your Subscription: 
https://www.listbox.com/member/?member_id=8660244id_secret=117534816-b15a34
Powered by Listbox: http://www.listbox.com


RE: [agi] Cloud Intelligence

2008-11-03 Thread Matt Mahoney
--- On Mon, 11/3/08, John G. Rose [EMAIL PROTECTED] wrote:

 This study - 
 http://www.cogsci.rpi.edu/CSJarchive/1986v10/i04/p0477p0493/MAIN.PDF
 
 is just throwing a dart at the wall. You'd need
 something more real life
 instead of word and picture recall calculations to arrive
 at a number even close to actual.

It is the best estimate we have today. However you are right that there is more 
to memory than words and pictures. How do you measure the memory that we used 
to learn to see and to walk?

Anyway, thanks for the link. I had not been able to find it online.

  Just looking at the speed/memory/accuracy tradeoffs of
 various models
  at http://cs.fit.edu/~mmahoney/compression/text.html
 (the 2 graphs
  below the main table), it seems that memory is more of
 a limitation
  than CPU speed. A real time language model
 would be allowed 10-20
  years.
  
 
 I'm sorry, what are those 2 graphs indicating? To get a
 smaller compressed
 size more running memory is needed? That y-axis is a
 compressor runtime
 memory limit specified by a command line switch or is it
 just what the
 compressor consumes for the data to be compressed?

The compressed size vs. memory chart shows how much memory the compressor 
requires. In theory, a model with 10^9 bits could be represented in 128 MB of 
memory. But in practice we need much more to achieve any kind of efficiency, at 
least 4 GB it seems. The graph doesn't show any hint of leveling off.

Both graphs show only the compressors on the Pareto frontier, which means no 
better compressor uses less memory or is faster. For each compressor, I tested 
only using the options for maximum compression. Many compressors allow other 
options for greater speed or less memory, so it could result in additional data 
points. However these points tend to trend along the same line as the overall 
graph.

-- Matt Mahoney, [EMAIL PROTECTED]



---
agi
Archives: https://www.listbox.com/member/archive/303/=now
RSS Feed: https://www.listbox.com/member/archive/rss/303/
Modify Your Subscription: 
https://www.listbox.com/member/?member_id=8660244id_secret=117534816-b15a34
Powered by Listbox: http://www.listbox.com


RE: [agi] Cloud Intelligence

2008-11-02 Thread John G. Rose
 From: Matt Mahoney [mailto:[EMAIL PROTECTED]
 
 --- On Thu, 10/30/08, John G. Rose [EMAIL PROTECTED] wrote:
 
   From: Matt Mahoney [mailto:[EMAIL PROTECTED]
  
   Cloud computing is compatible with my proposal for distributed AGI.
   It's just not big enough. I would need 10^10 processors, each 10^3
 to
   10^6 times more powerful than a PC.
  
 
  The only thing we have that come close to those numbers are
  insect brains.
  Maybe something can be biogenetically engineered :) Somehow
  wire billions of
  insect brains together modified in such a way that they are
  peer 2 peer and
  emerge a greater intelligence :)
 
 Or molecular computing. The Earth has about 10^37 bits of data encoded
 in DNA*. Evolution executes a parallel algorithm that runs at 10^33
 operations per second**. This far exceeds the 10^25 bits of memory and
 10^27 OPS needed to simulate all the human brains on Earth as neural
 networks***.
 
 *Human DNA has 6 x 10^9 base pairs (diploid count) at 2 bits each ~
 10^10 bits. The human body has ~ 10^14 cells = 10^24 bits. There are ~
 10^10 humans ~ 10^34 bits. Humans make up 0.1% of the biomass ~ 10^37
 bits.
 
 **Cell replication ranges from 20 minutes in bacteria to ~ 1 year in
 human tissue. Assume 10^-4 replications per second on average ~ 10^33
 OPS. The figure would be much higher if you include RNA and protein
 synthesis.
 
 ***Assume 10^15 synapses per brain at 1 bit each and 10 ms resolution
 times 10^10 humans.
 


I agree on the molecular computing. The resources are there. Not sure though
how one would go about calculating the evolution parallel algorithm OPS, it
would be different than just cell reproduction magnitude.

Still though I don't agree on your initial numbers estimate for AGI. A bit
high perhaps? Your numbers may be able to be trimmed down based on refined
assumptions.

John



---
agi
Archives: https://www.listbox.com/member/archive/303/=now
RSS Feed: https://www.listbox.com/member/archive/rss/303/
Modify Your Subscription: 
https://www.listbox.com/member/?member_id=8660244id_secret=117534816-b15a34
Powered by Listbox: http://www.listbox.com


RE: [agi] Cloud Intelligence

2008-11-02 Thread Matt Mahoney
--- On Sun, 11/2/08, John G. Rose [EMAIL PROTECTED] wrote:

 Still though I don't agree on your initial
 numbers estimate for AGI. A bit
 high perhaps? Your numbers may be able
 to be trimmed down based on refined assumptions.

True, we can't explain why the human brain needs 10^15 synapses to store 10^9 
bits of long term memory (Landauer's estimate). Typical neural networks store 
0.15 to 0.25 bits per synapse.

I estimate a language model with 10^9 bits of complexity could be implemented 
using 10^9 to 10^10 synapses. However, time complexity is hard to estimate. A 
naive implementation would need around 10^18 to 10^19 operations to train on 1 
GB of text. However this could be sped up significantly if only a small 
fraction of neurons are active at any time.

Just looking at the speed/memory/accuracy tradeoffs of various models at 
http://cs.fit.edu/~mmahoney/compression/text.html (the 2 graphs below the main 
table), it seems that memory is more of a limitation than CPU speed. A real 
time language model would be allowed 10-20 years.

-- Matt Mahoney, [EMAIL PROTECTED]



---
agi
Archives: https://www.listbox.com/member/archive/303/=now
RSS Feed: https://www.listbox.com/member/archive/rss/303/
Modify Your Subscription: 
https://www.listbox.com/member/?member_id=8660244id_secret=117534816-b15a34
Powered by Listbox: http://www.listbox.com


RE: [agi] Cloud Intelligence

2008-10-30 Thread wannabe
It sure seems to me that the availability of cloud computing is valuable
to the AGI project.  There are some claims that maybe intelligent programs
are still waiting on sufficient computer power, but with something like
this, anybody who really thinks that and has some real software in mind
has no excuse.  They can get whatever cpu horsepower they need, I'm pretty
sure even to the theoretical levels predicted by, say, Moravec and
Kurzweil.  It takes away that particular excuse.  So nowadays, about the
only excuse left is that people don't have enough top-level research
programmers working for them.  And in saying that, I do mean that AGI
programs now generally recognize that there are some significant unsolved
programming challenges, even if they believe they have most of the
framework of an intelligent system.
andi

 From: Mike Archbold [mailto:[EMAIL PROTECTED]

 I guess I don't see how cloud computing is materially different from
 open source in so much as we see the sharing of resources and also now
 increased availability, no need to buy so much hardware at the outset.
  But it seems more a case of convenience.


 The cloud is the host. It's hardware virtualized with open ended resources
 on demand. Open source resources usually don't include the hardware. And
 open source software can be copied ad infinitum. Shared hardware is a
 finite
 resource. And there is a huge surplus of it underutilized.

 So what does that have to do with AGI?   I can see the advantage that
 if you wanted your executable code to remain hidden in a cloud so
 nobody can get a hold of it to decompile and figure it out, however.


 Some AGI experiments can require multiple servers. There may be some test
 runs that require dozens or hundreds of servers. So instead of having a
 data
 center you rent one on demand.

 Then there's the general trend on what is going on with that technology.
 It's another form of distributed computing but with a more assertive and
 practical flavor.

 John




---
agi
Archives: https://www.listbox.com/member/archive/303/=now
RSS Feed: https://www.listbox.com/member/archive/rss/303/
Modify Your Subscription: 
https://www.listbox.com/member/?member_id=8660244id_secret=117534816-b15a34
Powered by Listbox: http://www.listbox.com


Re: [agi] Cloud Intelligence

2008-10-30 Thread Russell Wallace
On Thu, Oct 30, 2008 at 6:45 AM,  [EMAIL PROTECTED] wrote:
 It sure seems to me that the availability of cloud computing is valuable
 to the AGI project.  There are some claims that maybe intelligent programs
 are still waiting on sufficient computer power, but with something like
 this, anybody who really thinks that and has some real software in mind
 has no excuse.  They can get whatever cpu horsepower they need, I'm pretty
 sure even to the theoretical levels predicted by, say, Moravec and
 Kurzweil.  It takes away that particular excuse.

Indeed, that's been the most important effect of computing power
limitations. It's not that we've ever been able to say this program
would do great things, if only we had the hardware to run it. It's
that we learn to flinch away from the good designs, the workable
approaches, because they won't fit on the single cheap beige box we
have on our desks. The key benefit of cloud computing is one that can
be had before the first line of code is written: don't think in terms
of how your design will run on one box, think in terms of how it will
run on 10,000.


---
agi
Archives: https://www.listbox.com/member/archive/303/=now
RSS Feed: https://www.listbox.com/member/archive/rss/303/
Modify Your Subscription: 
https://www.listbox.com/member/?member_id=8660244id_secret=117534816-b15a34
Powered by Listbox: http://www.listbox.com


RE: [agi] Cloud Intelligence

2008-10-30 Thread John G. Rose
 From: Russell Wallace [mailto:[EMAIL PROTECTED]
 On Thu, Oct 30, 2008 at 6:45 AM,  [EMAIL PROTECTED] wrote:
  It sure seems to me that the availability of cloud computing is
 valuable
  to the AGI project.  There are some claims that maybe intelligent
 programs
  are still waiting on sufficient computer power, but with something
 like
  this, anybody who really thinks that and has some real software in
 mind
  has no excuse.  They can get whatever cpu horsepower they need, I'm
 pretty
  sure even to the theoretical levels predicted by, say, Moravec and
  Kurzweil.  It takes away that particular excuse.
 
 Indeed, that's been the most important effect of computing power
 limitations. It's not that we've ever been able to say this program
 would do great things, if only we had the hardware to run it. It's
 that we learn to flinch away from the good designs, the workable
 approaches, because they won't fit on the single cheap beige box we
 have on our desks. The key benefit of cloud computing is one that can
 be had before the first line of code is written: don't think in terms
 of how your design will run on one box, think in terms of how it will
 run on 10,000.
 

My suspicion though is that say you had 100 physical servers and then 100
physical cloud servers. You could hand tailor your distributed application
so that it is extremely more efficient not running on the cloud substrate.
Even if you took the grid substrate that the cloud is running on and hand
tweaked your app to utilize that I suspect that it would still be way less
efficient than a 100% native written.

The advantage of using cloud or grid substrate is that it makes writing the
application much easier. Hand coded distributed applications take a
particular expertise to develop. Eliminating that helps from a bootstrap
perspective.

Also when you have control over your server you can manipulate topology. It
is possible to enhance inter-server communication by creating custom
physical and virtual network topology.

I assume as grid and cloud computing matures the software substrate will
become more efficient and adaptable to the application. To be sure though on
the efficiencies, some tests would need to be run. Unless someone here
understands cloud/grid enough to know what the deal is or has already run
tests.

John





---
agi
Archives: https://www.listbox.com/member/archive/303/=now
RSS Feed: https://www.listbox.com/member/archive/rss/303/
Modify Your Subscription: 
https://www.listbox.com/member/?member_id=8660244id_secret=117534816-b15a34
Powered by Listbox: http://www.listbox.com


Re: [agi] Cloud Intelligence

2008-10-30 Thread Russell Wallace
On Thu, Oct 30, 2008 at 3:07 PM, John G. Rose [EMAIL PROTECTED] wrote:
 My suspicion though is that say you had 100 physical servers and then 100
 physical cloud servers. You could hand tailor your distributed application
 so that it is extremely more efficient not running on the cloud substrate.

Why would you suspect that? My understanding of cloud computing is
that the servers are perfectly ordinary Linux boxes, with perfectly
ordinary network connections, it's just that you rent them instead of
buying them.


---
agi
Archives: https://www.listbox.com/member/archive/303/=now
RSS Feed: https://www.listbox.com/member/archive/rss/303/
Modify Your Subscription: 
https://www.listbox.com/member/?member_id=8660244id_secret=117534816-b15a34
Powered by Listbox: http://www.listbox.com


Re: [agi] Cloud Intelligence

2008-10-30 Thread Ben Goertzel
Unless you are going to hand-wire some special processor-to-processor
interconnect fabric, this seems probably not to be true...

ben g

On Thu, Oct 30, 2008 at 11:15 AM, Russell Wallace [EMAIL PROTECTED]
 wrote:

 On Thu, Oct 30, 2008 at 3:07 PM, John G. Rose [EMAIL PROTECTED]
 wrote:
  My suspicion though is that say you had 100 physical servers and then 100
  physical cloud servers. You could hand tailor your distributed
 application
  so that it is extremely more efficient not running on the cloud
 substrate.

 Why would you suspect that? My understanding of cloud computing is
 that the servers are perfectly ordinary Linux boxes, with perfectly
 ordinary network connections, it's just that you rent them instead of
 buying them.


 ---
 agi
 Archives: https://www.listbox.com/member/archive/303/=now
 RSS Feed: https://www.listbox.com/member/archive/rss/303/
 Modify Your Subscription:
 https://www.listbox.com/member/?;
 Powered by Listbox: http://www.listbox.com




-- 
Ben Goertzel, PhD
CEO, Novamente LLC and Biomind LLC
Director of Research, SIAI
[EMAIL PROTECTED]

A human being should be able to change a diaper, plan an invasion, butcher
a hog, conn a ship, design a building, write a sonnet, balance accounts,
build a wall, set a bone, comfort the dying, take orders, give orders,
cooperate, act alone, solve equations, analyze a new problem, pitch manure,
program a computer, cook a tasty meal, fight efficiently, die gallantly.
Specialization is for insects.  -- Robert Heinlein



---
agi
Archives: https://www.listbox.com/member/archive/303/=now
RSS Feed: https://www.listbox.com/member/archive/rss/303/
Modify Your Subscription: 
https://www.listbox.com/member/?member_id=8660244id_secret=117534816-b15a34
Powered by Listbox: http://www.listbox.com


RE: [agi] Cloud Intelligence

2008-10-30 Thread John G. Rose
 From: Ben Goertzel [mailto:[EMAIL PROTECTED]
 Sent: Thursday, October 30, 2008 9:18 AM
 To: agi@v2.listbox.com
 Subject: Re: [agi] Cloud Intelligence
 
 
 Unless you are going to hand-wire some special processor-to-processor
 interconnect fabric, this seems probably not to be true...
 
 ben g
 On Thu, Oct 30, 2008 at 11:15 AM, Russell Wallace
 [EMAIL PROTECTED] wrote:
 On Thu, Oct 30, 2008 at 3:07 PM, John G. Rose [EMAIL PROTECTED]
 wrote:
  My suspicion though is that say you had 100 physical servers and then
 100
  physical cloud servers. You could hand tailor your distributed
 application
  so that it is extremely more efficient not running on the cloud
 substrate.
 Why would you suspect that? My understanding of cloud computing is
 that the servers are perfectly ordinary Linux boxes, with perfectly
 ordinary network connections, it's just that you rent them instead of
 buying them.
 

Not talking custom hardware, when you take your existing app and apply it to
the distributed resource and network topology (your 100 servers) you can
structure it to maximize its execution reward. And the design of the app
should take the topology into account. Just creating an app and uploading it
to a cloud and assuming the cloud will be smart enough to figure it out?
There's gonna be layers there man and resource task switching with other
customers.

Cloud substrate software is probably good but not that good.

You could understand how the cloud processes and structure your app towards
that. I have no idea how these clouds are implemented.

John



---
agi
Archives: https://www.listbox.com/member/archive/303/=now
RSS Feed: https://www.listbox.com/member/archive/rss/303/
Modify Your Subscription: 
https://www.listbox.com/member/?member_id=8660244id_secret=117534816-b15a34
Powered by Listbox: http://www.listbox.com


Re: [agi] Cloud Intelligence

2008-10-30 Thread Russell Wallace
On Thu, Oct 30, 2008 at 3:42 PM, John G. Rose [EMAIL PROTECTED] wrote:
 Not talking custom hardware, when you take your existing app and apply it to
 the distributed resource and network topology (your 100 servers) you can
 structure it to maximize its execution reward. And the design of the app
 should take the topology into account.

That would be a very bad idea, even if there were no such thing as
cloud computing. Even if there was a significant efficiency gain to be
had that way (which there isn't, in the usual scenario where you're
talking about ethernet not some custom grid fabric), as soon as the
next hardware purchase comes along, the design over which you sweated
so hard is now useless or worse than useless.


---
agi
Archives: https://www.listbox.com/member/archive/303/=now
RSS Feed: https://www.listbox.com/member/archive/rss/303/
Modify Your Subscription: 
https://www.listbox.com/member/?member_id=8660244id_secret=117534816-b15a34
Powered by Listbox: http://www.listbox.com


RE: [agi] Cloud Intelligence

2008-10-30 Thread John G. Rose
 From: Russell Wallace [mailto:[EMAIL PROTECTED]
 On Thu, Oct 30, 2008 at 3:42 PM, John G. Rose [EMAIL PROTECTED]
 wrote:
  Not talking custom hardware, when you take your existing app and
 apply it to
  the distributed resource and network topology (your 100 servers) you
 can
  structure it to maximize its execution reward. And the design of
 the app
  should take the topology into account.
 
 That would be a very bad idea, even if there were no such thing as
 cloud computing. Even if there was a significant efficiency gain to be
 had that way (which there isn't, in the usual scenario where you're
 talking about ethernet not some custom grid fabric), as soon as the
 next hardware purchase comes along, the design over which you sweated
 so hard is now useless or worse than useless.
 

No, you don't lock it into an instance in time. You make it selectively
scalable. 

When your app or your application's resources span more than one machine you
need to organize that. The choice on how you do so effects execution
efficiency. You could have an app now that needs 10 machines to run and 5
years from now will run on one machine yes. That is true. 

John



---
agi
Archives: https://www.listbox.com/member/archive/303/=now
RSS Feed: https://www.listbox.com/member/archive/rss/303/
Modify Your Subscription: 
https://www.listbox.com/member/?member_id=8660244id_secret=117534816-b15a34
Powered by Listbox: http://www.listbox.com


RE: [agi] Cloud Intelligence

2008-10-30 Thread Matt Mahoney
Cloud computing is compatible with my proposal for distributed AGI. It's just 
not big enough. I would need 10^10 processors, each 10^3 to 10^6 times more 
powerful than a PC.

-- Matt Mahoney, [EMAIL PROTECTED]



---
agi
Archives: https://www.listbox.com/member/archive/303/=now
RSS Feed: https://www.listbox.com/member/archive/rss/303/
Modify Your Subscription: 
https://www.listbox.com/member/?member_id=8660244id_secret=117534816-b15a34
Powered by Listbox: http://www.listbox.com


RE: [agi] Cloud Intelligence

2008-10-30 Thread John G. Rose
 From: Matt Mahoney [mailto:[EMAIL PROTECTED]
 
 Cloud computing is compatible with my proposal for distributed AGI.
 It's just not big enough. I would need 10^10 processors, each 10^3 to
 10^6 times more powerful than a PC.
 

The only thing we have that come close to those numbers are insect brains.
Maybe something can be biogenetically engineered :) Somehow wire billions of
insect brains together modified in such a way that they are peer 2 peer and
emerge a greater intelligence :)

John



---
agi
Archives: https://www.listbox.com/member/archive/303/=now
RSS Feed: https://www.listbox.com/member/archive/rss/303/
Modify Your Subscription: 
https://www.listbox.com/member/?member_id=8660244id_secret=117534816-b15a34
Powered by Listbox: http://www.listbox.com


RE: [agi] Cloud Intelligence

2008-10-30 Thread Matt Mahoney
--- On Thu, 10/30/08, John G. Rose [EMAIL PROTECTED] wrote:

  From: Matt Mahoney [mailto:[EMAIL PROTECTED]
  
  Cloud computing is compatible with my proposal for distributed AGI.
  It's just not big enough. I would need 10^10 processors, each 10^3 to
  10^6 times more powerful than a PC.
  
 
 The only thing we have that come close to those numbers are
 insect brains.
 Maybe something can be biogenetically engineered :) Somehow
 wire billions of
 insect brains together modified in such a way that they are
 peer 2 peer and
 emerge a greater intelligence :)

Or molecular computing. The Earth has about 10^37 bits of data encoded in DNA*. 
Evolution executes a parallel algorithm that runs at 10^33 operations per 
second**. This far exceeds the 10^25 bits of memory and 10^27 OPS needed to 
simulate all the human brains on Earth as neural networks***.

*Human DNA has 6 x 10^9 base pairs (diploid count) at 2 bits each ~ 10^10 bits. 
The human body has ~ 10^14 cells = 10^24 bits. There are ~ 10^10 humans ~ 10^34 
bits. Humans make up 0.1% of the biomass ~ 10^37 bits.

**Cell replication ranges from 20 minutes in bacteria to ~ 1 year in human 
tissue. Assume 10^-4 replications per second on average ~ 10^33 OPS. The figure 
would be much higher if you include RNA and protein synthesis.

***Assume 10^15 synapses per brain at 1 bit each and 10 ms resolution times 
10^10 humans.

-- Matt Mahoney, [EMAIL PROTECTED]



---
agi
Archives: https://www.listbox.com/member/archive/303/=now
RSS Feed: https://www.listbox.com/member/archive/rss/303/
Modify Your Subscription: 
https://www.listbox.com/member/?member_id=8660244id_secret=117534816-b15a34
Powered by Listbox: http://www.listbox.com


Re: [agi] Cloud Intelligence

2008-10-29 Thread Samantha Atkins

John G. Rose wrote:


Has anyone done some analysis on cloud computing, in particular the 
recent trend and coming out of clouds with multiple startup efforts in 
this space? And their relationship to AGI type applications?


 


Or is this phenomena just geared to web server farm resource grouping?

 

I suppose that it is worth delving into... at least evaluating. But my 
first thoughts are that the hardware nodes have interrelationships 
that require compatibility layers for service offerings verses custom 
clusters hand tweaked for app specific - AGI in this case, 
optimizations and caterings.


 

From playing around a little in the Amazon cloud you can do anything 
you can do on a standard TCP/IP network of off the shelf boxes.   
Granted you can't hook up a faster network as you certainly could in 
your own cluster.  But it still seems pretty intriguing.


What happens though over time is that the cloud generalization 
substrate made for software and competitive efficiencies eventually 
come close to or exceed the abilities of the hand developed and 
tweaked. That is the problem - determining whether to wait, pay, or to 
develop a custom solution.


Well, most of us have no choice but do do whatever we can as soon as we 
can on top of free/cheap  but relatively plentiful resources.


 

Isn't software development annoying because of this? Big guys like MS 
have the umph to shrug off the little guys using their development 
resource power. Sometimes the only choice is to eat dust and like it. 
Suck up the dust, it's nutritional silicon value is there, feed off of 
it, the perpetuity of a naked quartz lunch.


 

Actually I think software is very exciting and have for 30 years because 
the little guy can and often does come up with something on a relative 
shoestring that blows MS out of the water in some  market that often 
didn't even see coming. 


- samantha




---
agi
Archives: https://www.listbox.com/member/archive/303/=now
RSS Feed: https://www.listbox.com/member/archive/rss/303/
Modify Your Subscription: 
https://www.listbox.com/member/?member_id=8660244id_secret=117534816-b15a34
Powered by Listbox: http://www.listbox.com


Re: [agi] Cloud Intelligence

2008-10-29 Thread Bob Mottram
2008/10/29 Samantha Atkins [EMAIL PROTECTED]:
 John G. Rose wrote:
 Has anyone done some analysis on cloud computing, in particular the recent
 trend and coming out of clouds with multiple startup efforts in this space?
 And their relationship to AGI type applications?



Beware of putting too much stuff into the cloud.  Especially in the
current economic climate clouds could disappear without notice (i.e.
unrecoverable data loss).  Also, depending upon terms and conditions
any data which you put into the cloud may not legally be owned by you,
even if you created it.


---
agi
Archives: https://www.listbox.com/member/archive/303/=now
RSS Feed: https://www.listbox.com/member/archive/rss/303/
Modify Your Subscription: 
https://www.listbox.com/member/?member_id=8660244id_secret=117534816-b15a34
Powered by Listbox: http://www.listbox.com


RE: [agi] Cloud Intelligence

2008-10-29 Thread John G. Rose
 From: Bob Mottram [mailto:[EMAIL PROTECTED]
 Beware of putting too much stuff into the cloud.  Especially in the
 current economic climate clouds could disappear without notice (i.e.
 unrecoverable data loss).  Also, depending upon terms and conditions
 any data which you put into the cloud may not legally be owned by you,
 even if you created it.
 

For private commercial clouds this is true. But imagine a public
self-healing cloud where it is somewhat self-regulated and self-organized.
Though commercial clouds could have some sort of inter-cloud virtual
backbone that they subscribe to. So Company A goes bankrupt but it's cloud
is offloaded into the backbone and absorbed by another cloud. Micro payments
migrate with the cloud. Ya right like that could ever happen.

John



---
agi
Archives: https://www.listbox.com/member/archive/303/=now
RSS Feed: https://www.listbox.com/member/archive/rss/303/
Modify Your Subscription: 
https://www.listbox.com/member/?member_id=8660244id_secret=117534816-b15a34
Powered by Listbox: http://www.listbox.com


Re: [agi] Cloud Intelligence

2008-10-29 Thread Mike Archbold
I guess I don't see how cloud computing is materially different from
open source in so much as we see the sharing of resources and also now
increased availability, no need to buy so much hardware at the outset.
 But it seems more a case of convenience.

So what does that have to do with AGI?   I can see the advantage that
if you wanted your executable code to remain hidden in a cloud so
nobody can get a hold of it to decompile and figure it out, however.

On 10/29/08, John G. Rose [EMAIL PROTECTED] wrote:
 From: Bob Mottram [mailto:[EMAIL PROTECTED]
 Beware of putting too much stuff into the cloud.  Especially in the
 current economic climate clouds could disappear without notice (i.e.
 unrecoverable data loss).  Also, depending upon terms and conditions
 any data which you put into the cloud may not legally be owned by you,
 even if you created it.


 For private commercial clouds this is true. But imagine a public
 self-healing cloud where it is somewhat self-regulated and self-organized.
 Though commercial clouds could have some sort of inter-cloud virtual
 backbone that they subscribe to. So Company A goes bankrupt but it's cloud
 is offloaded into the backbone and absorbed by another cloud. Micro payments
 migrate with the cloud. Ya right like that could ever happen.

 John



 ---
 agi
 Archives: https://www.listbox.com/member/archive/303/=now
 RSS Feed: https://www.listbox.com/member/archive/rss/303/
 Modify Your Subscription:
 https://www.listbox.com/member/?;
 Powered by Listbox: http://www.listbox.com



---
agi
Archives: https://www.listbox.com/member/archive/303/=now
RSS Feed: https://www.listbox.com/member/archive/rss/303/
Modify Your Subscription: 
https://www.listbox.com/member/?member_id=8660244id_secret=117534816-b15a34
Powered by Listbox: http://www.listbox.com