Re: When will a computer pass the Turing Test?

2013-08-24 Thread Quentin Anciaux
2013/8/24 Chris de Morsella cdemorse...@yahoo.com

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 *From:* everything-list@googlegroups.com [mailto:
 everything-list@googlegroups.com] *On Behalf Of *John Clark
 *Sent:* Friday, August 23, 2013 12:58 PM
 *To:* everything-list@googlegroups.com

 *Subject:* Re: When will a computer pass the Turing Test?

 ** **

 ** **

 ** **

 On Fri, Aug 23, 2013 at 2:46 PM, Chris de Morsella cdemorse...@yahoo.com
 wrote:

 ** **

  

  The computer requires a substrate in which to operate upon -- the CPU
 chips for example are what our computers operate on. I know of no computer
 that does not require this external structured environment  


  The human requires a substrate in which to operate upon -- the brain for
 example is what our human minds  operate on. I know of no human that does
 not require this external structured environment.   

 Yes… and?

  Every computer in existence requires external enabling hardware.


 Every human in existence requires external enabling hardware.

 Yes but humans are not universal computing machines, if indeed we are
 machines. Do we know enough about how our brains work and are structured to
 the level that we would need to in order to be able to answer that question
 with any degree of certainty? I was referring to the hypothesized
 deterministic universe,

Well it's not because the universe is deterministic that it is
computable... it may require infinite precision to get the next step...
that's why computability and cause and effect are not related contrary to
what John Clarck like to say (if something has a cause/reason then it is
computable, that's just plain wrong). It's not because it's determined that
it has a finite description...

A computation + an oracle is not a computation *alone*... it requires the
oracle doing an hypercomputation or handling the infinite stuff, while the
whole object could still be said to behave deterministically it is not
computable.

Quentin




  in which everything that has happened can be computed from the initial
 state and has followed on from that original set of conditions… that we
 live in a deterministic universe and that everything that has or will ever
 happen is pre-destined and already baked in to the unfolding fabric of our
 experiencing of reality.

 If a computer operates from within a local frame of reference and context,
 but far from being isolated and existing alone is instead connected to much
 vaster environments and meta-processes that are potentially very loosely
 coupled -- based on in direct means such as say message passing through
 queues or other signals – then can its own outputs be said to be completely
 deterministic – even if we consider its own internal operations to be
 constrained to be deterministic? Operations, especially ones that are parts
 of much larger workflows etc. are being mutated by many actors and
 potentially with sophisticated stripe locking strategies, for example,
 having their data stores being accessed concurrently by multiple separate
 processes. There are just so many pseudo random and hard to predict or
 model occurrences – such as say lock contention – that are occurring at
 huge rates (when seen from sufficiently high up any large architecture)***
 *

 I find it hard to see how the resulting outcomes produced by such kinds of
 systems can be determined based on a knowledge of the state of the system
 at some initial instant in time.

   If a computer requires a substrate which it can manipulate in order to
 perform its logical operations then a universal computer is impossible
 because the substrate would necessarily be outside and foundational to its
 domain.


 If a human requires a substrate which it can manipulate in order to
 perform its logical operations then a universal human is impossible because
 the substrate would necessarily be outside and foundational to its domain.
 

 Agreed. Humans are exceedingly far from being universal. Our very sense of
 self precludes universality.

 Cheers,

 -Chris

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Leibniz's two types of existence based on the two types of logic

2013-08-24 Thread Roger Clough
Leibniz's two types of existence based on the two types of logic 
Brahma is a version of existence, but it doesn't permit actual scientific 
experiments. 
According to Leibniz, there is necessary (permanent) or mental existence and
contingent or actual existence. But mental existence can only be dealt with 
using
mind and logic, so is not actual. And actual existence is tentative.


Dr. Roger B Clough NIST (ret.) [1/1/2000]
See my Leibniz site at
http://independent.academia.edu/RogerClough

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Re: When will a computer pass the Turing Test?

2013-08-24 Thread John Clark
On Fri, Aug 23, 2013 at 11:34 PM, Chris de Morsella cdemorse...@yahoo.comwrote

  The computer requires a substrate in which to operate upon -- the CPU
 chips for example are what our computers operate on. I know of no computer
 that does not require this external structured environment

  The human requires a substrate in which to operate upon -- the brain
 for example is what our human minds  operate on. I know of no human that
 does not require this external structured environment.

  Yes… and?

And you tell me, those are your ideas not mine. I don't see the relevance
but I thought you did.

 

  Every computer in existence requires external enabling hardware.

 Every human in existence requires external enabling hardware.



 Yes but humans are not universal computing machines,

If we're not universal then we are provincial computing machines. Do you
really think this strengthens your case concerning the superiority of
humans?

 if indeed we are machines.

We are either cuckoo clocks or roulette wheels, take your pick.


  Do we know enough about how our brains work and are structured to the
 level that we would need to in order to be able to answer that question
 with any degree of certainty?

Yes absolutely! I can say with no fear of contradiction that things in the
brain happen for a reason or they do not happen for a reason.

 I was referring to the hypothesized deterministic universe, in which
 everything that has happened can be computed from the initial state and has
 followed on from that original set of conditions

Everything in modern physics and mathematics says that determinism is
false, but who cares, we were talking about intelligence and biological
minds and computer minds; what does the truth of falsehood of determinism
have to do with the price of eggs?

  John K Clark

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Re: When will a computer pass the Turing Test?

2013-08-24 Thread Quentin Anciaux
2013/8/24 John Clark johnkcl...@gmail.com

 On Fri, Aug 23, 2013 at 11:34 PM, Chris de Morsella cdemorse...@yahoo.com
  wrote

  The computer requires a substrate in which to operate upon -- the CPU
 chips for example are what our computers operate on. I know of no computer
 that does not require this external structured environment

  The human requires a substrate in which to operate upon -- the brain
 for example is what our human minds  operate on. I know of no human that
 does not require this external structured environment.

  Yes… and?

 And you tell me, those are your ideas not mine. I don't see the relevance
 but I thought you did.

 

  Every computer in existence requires external enabling hardware.

 Every human in existence requires external enabling hardware.



  Yes but humans are not universal computing machines,

 If we're not universal then we are provincial computing machines. Do you
 really think this strengthens your case concerning the superiority of
 humans?

   if indeed we are machines.

 We are either cuckoo clocks or roulette wheels, take your pick.


  Do we know enough about how our brains work and are structured to the
 level that we would need to in order to be able to answer that question
 with any degree of certainty?

 Yes absolutely! I can say with no fear of contradiction that things in the
 brain happen for a reason or they do not happen for a reason.

   I was referring to the hypothesized deterministic universe, in which
 everything that has happened can be computed from the initial state and has
 followed on from that original set of conditions

 Everything in modern physics and mathematics says that determinism is
 false,


That's wrong, MWI is deterministic... and again, deterministic and
computable are two different thing.

Quentin


 but who cares, we were talking about intelligence and biological minds and
 computer minds; what does the truth of falsehood of determinism have to do
 with the price of eggs?

   John K Clark

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Deep Blue vs The Tianhe-2 Supercomputer

2013-08-24 Thread John Clark
Suppose that in 1997 you had a very difficult problem to solve, so
difficult that it would take Deep Blue, the supercomputer that beat the
best human chess player in the world, 18 years to solve, what should you
do? You'd do better to let Moore's law do all the heavy lifting and leave
Deep Blue alone and sit on your hands from 1997 until just 2 minutes ago,
because that's how long it would take the 2013 supercomputer Tianhe-2 to
solve the problem. And in 20 years your wristwatch will be more powerful
than Tianhe-2.

  John K Clark

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Re: The Nazi History of the Muslim Brotherhood

2013-08-24 Thread John Clark
On Tue, Aug 20, 2013 at 8:09 AM, smi...@zonnet.nl wrote:

 Supporting the Nazis was the right thing to for the Arabs back then.
 [...] Also I believe that 9/11 was a good thing


You sir are an ass.

  John K Clark

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Re: The Nazi History of the Muslim Brotherhood

2013-08-24 Thread spudboy100
Sex would be more interesting, purely, from a Hugh Everett the 3rd point of 
view of course.



-Original Message-
From: Alberto G. Corona agocor...@gmail.com
To: everything-list everything-list@googlegroups.com
Sent: Fri, Aug 23, 2013 2:48 pm
Subject: Re: The Nazi History of the Muslim Brotherhood


To talk about politics in a group is like  sex exhibition: it exert an 
irresistible attention that disturb the whole group. That is one of the main 
reasons why sex exhibition (and politics) is prohibited in most real and 
virtual places: It makes impossible any other activity. it is like a black hole 
that disolves the stablished network of pacific exchange of information about 
different interests. The same happens with politics and maybe other things that 
attract an instinctive attention. I hope not to have switched the discussion to 
sex. 



2013/8/23 spudboy...@aol.com

Surprising the uprising against Morsi, was centrally about economic stagnation, 
food prices, inflation, and unemployment-not per se' a political issue or even 
a religious one. These people, for the most part, were not objecting to Islamic 
Law (Sharia) for example, but being able to purchase enough rice, and lamb. One 
 writer, this week, compared the resistance of the Egyptian Army to the 
roll-over of the Wehrmacht, in Germany, in the 1930's. The old Prussian ruling 
class did suspect adolf would lead them into a bad (for Germany) military 
situation, but went along, as the people seemed to support the fuhrer, and 
wanted to avoid bloodshed in the streets, as we see in Egypt today. The 
military in Egypt may have chosen to take the less, disastrous, path, since 
Morsi's MB collectives, may have induced a calamity, in which Cairo and 
Alexandra would be vanished. Your support of the Islamist agenda (De Facto) is 
indeed, troubling.



-Original Message-
From: smitra smi...@zonnet.nl
To: everything-list everything-list@googlegroups.com


Sent: Thu, Aug 22, 2013 10:17 am
Subject: Re: The Nazi History of the Muslim Brotherhood


In these sorts of polls the proper context is missing. Then you can 
asily fall in the same trap as the Germans who supported Hitler. In 
gypt you actually see this very clearly, a large fraction of the 
opulation who are against the Muslim Brotherhood are saying that the 
undreds of dead civilians are not the responsibility of the security 
orces that these civilians deserved to die for supporting the Muslim 
rotherhood.
This is fascism, it is not per se that you have some evil dictator in 
ower who is doing bad things, but it is a government who does bad 
hings with the support of a large fraction of the population, and 
hat then these bad things are perceived to be good things.
Saibal

Citeren spudboy...@aol.com:

 Its a solid majoritarian opinion by the Umah (Islamic nation) tho' 
 their are huge schisms within Islam..Sunni v Shia, Amadi's (the good 
 guys).  A PEW opinion survey of Islamic states bears Alberto's views 
 out-sorry to say. It's not bigotry, if is true, nor is it propaganda, 
 if one is not, using a little truth to tell a big lie. It's telling a 
 big truth, about how the Faithful view the world, and to educate, and 
 accept the facts as they are. What to do about this if we are correct 
 is complicated.  Frankly, I am guessing that we might mitigate this 
 dilemma by focusing on the prime motivation within Islam--Life after 
 Death. It is, as we yanks say, what gets them out of bed in the 
 morning It's even more central to Islam then it is to 
 Christianity we can put our collective efforts there instead of 
 focusing on personal attacks, or ideological correctness.

 Mitch


 -Original Message-
 From: Chris de Morsella cdemorse...@yahoo.com
 To: everything-list everything-list@googlegroups.com
 Sent: Wed, Aug 21, 2013 8:52 pm
 Subject: RE: The Nazi History of the Muslim Brotherhood



 More hateful stereotyping of a diverse group numbering over a billion 
 human beings by our very own fascist troll

 From: everything-list@googlegroups.com 
 [mailto:everything-list@googlegroups.com] On Behalf Of Alberto G. 
 Corona
 Sent: Wednesday, August 21, 2013 4:02 PM
 To: everything-list@googlegroups.com
 Subject: Re: The Nazi History of the Muslim Brotherhood


 Just follow the tv of muslim countries, and specially, the political debates.



 Google: hitler arab countries television



 It can not be otherwhise since te nazis and the muslims share the 
 same main goal. you know.



 Abu Mazen, the leader of the PLO after Yasif Arafat wrote its 
 doctoral thesis at the university about denial of the Holocaust.



 The Baaz party that ruled Iraq and Siria are inspired directly by the 
 Nazi party.



 There are hundred of examples of continuous praise of hitler or 
 hitler-inspired ideas in the musling world.



 If you search,  you can find a lot of nazi flags waved by muslim 
 fundamentalists. even on the top of mesquites






 2013/8/21 meekerdb meeke...@verizon.net


 

RE: When will a computer pass the Turing Test?

2013-08-24 Thread Chris de Morsella
 

 

 

On Fri, Aug 23, 2013 at 11:34 PM, Chris de Morsella cdemorse...@yahoo.com
wrote

 The computer requires a substrate in which to operate upon -- the CPU
chips for example are what our computers operate on. I know of no computer
that does not require this external structured environment  

 The human requires a substrate in which to operate upon -- the brain for
example is what our human minds  operate on. I know of no human that does
not require this external structured environment.   

 Yes. and?

And you tell me, those are your ideas not mine. I don't see the relevance
but I thought you did. 

 

There is no relevance unless one is attempting to posit the existence of a
universal computer. All measurable processes - including information
processing -- happen over and require for their operations some physical
substrate. My point, which I believe either you may have missed or you are
dodging is that therefore a universal computer is impossible, because there
would always need to be some underlying and external container for the
process that could not therefore itself be completely contained within the
process.

 

 Every computer in existence requires external enabling hardware.

Every human in existence requires external enabling hardware.

 

 Yes but humans are not universal computing machines,

If we're not universal then we are provincial computing machines. Do you
really think this strengthens your case concerning the superiority of
humans?   

Whoa there, when did I make that statement? I am not interested in nor do I
much care whether humans are superior or inferior to computers or, in fact
termites or microbes or anything else we could potentially be measured
against. This does not drive my interest in the least. Who cares about our
relative ranking in the universe; certainly not I.

 if indeed we are machines. 

We are either cuckoo clocks or roulette wheels, take your pick.  

Not sure whether you are attempting to be funny or are pouring the irony on
a little thick. An average human brain has somewhere around 86 billion
neurons and as far as we are able to count around 100 trillion synapses.
Characterizing this fantastically dense crackling network as a cuckoo clock
or a roulette wheel is rather facile. If we are machines then we are surely
fantastically complex and highly dynamic ones. 

 Do we know enough about how our brains work and are structured to the
level that we would need to in order to be able to answer that question with
any degree of certainty? 

Yes absolutely! I can say with no fear of contradiction that things in the
brain happen for a reason or they do not happen for a reason.

You have said absolutely nothing that means anything more than reiterating
your belief in reductionism. Something either happens or does not happen for
a reason. sure.. and so what? What insight have you uncovered by stating the
obvious. It certainly does not help answer the question I posed. We do not
know enough about brain function in order to be able to model it with
anything approaching certainty. This was my point and your reply added
nothing of substance to that point, as far as I can see. 

I can say that things happen, for a reason or they do not happen for a
reason, for any phenomena whatsoever, in the universe, but I have not
therefore, by stating the obvious, uncovered any deeper truths or given any
insight into any process or underlying physical laws. It is meaningless and
it leads nowhere in terms of providing any actual valuable insight or
explanation. It speaks but without saying anything. What is your point? What
insight does that give you into the mechanisms by which thought,
self-awareness, consciousness, arise in our brains? 

 I was referring to the hypothesized deterministic universe, in which
everything that has happened can be computed from the initial state and has
followed on from that original set of conditions

Everything in modern physics and mathematics says that determinism is false,
but who cares, we were talking about intelligence and biological minds and
computer minds; what does the truth of falsehood of determinism have to do
with the price of eggs?   

I suspect we may be having parallel conversations and are simply not
communicating all that well. 

In principle I am agnostic about AI arising in a machine. I am humble enough
however to admit that so much of the fine grained details of brain
functioning are still not understood and that therefore it is impossible for
us to model the dynamic functioning of the human brain. Perhaps someday -
even soon maybe - we will have the fine detailed maps of all the connections
(including all the axons as well) and the dynamic patterns of activity that
traverse them - but until then all we really have is hypothesis 
conjecture. 

And.. Until we are able to build a fine grained and falsifiable model of how
the brain works and this model can be shown (by not being falsified of
course) that it is able to have a powerfully 

Re: God's God

2013-08-24 Thread spudboy100

John, that was a clever cartoon, which of course leaves the viewer seeing 
humanity' as the hero. The humanity character was too busy sitting under a 
tree, to help resolve misery and death. Of course, he could have been working 
on those wee concerns insteady of bitching at the imaginary characters, he 
(humanity?) created. Yes, while (whilst?) under the tree humanity could have 
been working on those problems them, but the character struck me as a little, 
too, narcissistic to have any confidence in. Which is how many (not all!) 
Atheists strike me as being. 

Secondly, I am not too certain at this juncture that humanity or Humanity, 
can survive, or that civilization will stand long enough for magical humanity 
to fix everything, as I am sure the character would have or maybe does, in 
other of those cartoons. But, what about a Concept of God that would not please 
Dr. Clough, or Thomas Aquinas? What if the nature of God was as Ludwig 
Boltzmann conjecture, A Boltzmann Brain? Are you familiar with this concept? 
Have you seen it before and dismissed it? Curious, this primate (me) is.

Sincerely,

Mitch



-Original Message-
From: John Clark johnkcl...@gmail.com
To: everything-list everything-list@googlegroups.com
Sent: Fri, Aug 23, 2013 11:19 am
Subject: God's God


http://www.youtube.com/watch?v=ODetOE6cbbc


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Re: Deep Blue vs The Tianhe-2 Supercomputer

2013-08-24 Thread Platonist Guitar Cowboy
As I tried to comment in the other thread concerning chess: it's not just
about power, it's also about quality of coding. Just one fresh opening, a
novel variation or line in the mid game, a bug in the code, one position
falsely assessed, and all computing power in the universe will still lose
that game. To generalize this to all problems seems a bit quick. PGC


On Sat, Aug 24, 2013 at 6:07 PM, John Clark johnkcl...@gmail.com wrote:

 Suppose that in 1997 you had a very difficult problem to solve, so
 difficult that it would take Deep Blue, the supercomputer that beat the
 best human chess player in the world, 18 years to solve, what should you
 do? You'd do better to let Moore's law do all the heavy lifting and leave
 Deep Blue alone and sit on your hands from 1997 until just 2 minutes ago,
 because that's how long it would take the 2013 supercomputer Tianhe-2 to
 solve the problem. And in 20 years your wristwatch will be more powerful
 than Tianhe-2.

   John K Clark

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Re: The Nazi History of the Muslim Brotherhood

2013-08-24 Thread smitra
With hindsight 9/11 was a good thing to have happened, it ended up 
exposing the fascist Neo-Cons for what they were. The Neo-Con ideology 
was defeated on the battlegrounds of Iraq. It is sad that it had to 
happen that way with all the innocent victims in the US and Iraq, but I 
believe that the US and the rest of the World are today better off with 
these things having happened.


Citeren John Clark johnkcl...@gmail.com:


On Tue, Aug 20, 2013 at 8:09 AM, smi...@zonnet.nl wrote:


Supporting the Nazis was the right thing to for the Arabs back then.
[...] Also I believe that 9/11 was a good thing



You sir are an ass.

 John K Clark

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Re: Deep Blue vs The Tianhe-2 Supercomputer

2013-08-24 Thread Telmo Menezes
On Sat, Aug 24, 2013 at 9:05 PM, Platonist Guitar Cowboy
multiplecit...@gmail.com wrote:
 As I tried to comment in the other thread concerning chess: it's not just
 about power, it's also about quality of coding. Just one fresh opening, a
 novel variation or line in the mid game, a bug in the code, one position
 falsely assessed, and all computing power in the universe will still lose
 that game. To generalize this to all problems seems a bit quick. PGC

I agree with the sentiment. Chess is a very narrow case though: the
min-max algorithm plus a brutal amount of computing power is surely
going to beat a human. The min-max algorithm is so simple that it is
not that hard to implement with zero defects. The issue, though, is
the following: we currently only know how to beat top human players
with brutal computational power. The part of the human brain devoted
to playing chess (even in a Grand Master) cannot possibly match what
we already do artificially in terms of computing power. It must use
smarter algorithms. Our brain cannot possibly hold the gigantic search
trees involved in min-max, it must be doing something much more
clever. We don't know what that is.

We are now approaching a point where we can have supercomputers with
the same estimated computational power of a human brain, but we are
very far from replicating its capabilities. There's even a lot of
stuff insects do that we are not close to matching. I dare even say
bacteria. There are many fundamental algorithms yet to be discovered,
that's for sure.

Also, Moore's law is bound to hit a physical limit. It cannot be that
far now. It's already fishy, since it's being driven mostly by
multicore architectures. Moving from the sequential to the parallel
world is far from trivial in terms of software engineering. The brain
is massively parallel and asynchronous, and we are still very bad with
that sort of stuff. Maybe that's precisely where the missing good
stuff lies.

Incidentally, Richard Feynman was involved with a startup that tried
to create a new type of highly parallel computer. Here's an
interesting read about it:

http://longnow.org/essays/richard-feynman-connection-machine/

I love this part:

We were arguing about what the name of the company should be when
Richard walked in, saluted, and said, Richard Feynman reporting for
duty. OK, boss, what's my assignment? The assembled group of
not-quite-graduated MIT students was astounded.

After a hurried private discussion (I don't know, you hired him...),
we informed Richard that his assignment would be to advise on the
application of parallel processing to scientific problems.

That sounds like a bunch of baloney, he said. Give me something real to do.

So we sent him out to buy some office supplies.


Telmo.


 On Sat, Aug 24, 2013 at 6:07 PM, John Clark johnkcl...@gmail.com wrote:

 Suppose that in 1997 you had a very difficult problem to solve, so
 difficult that it would take Deep Blue, the supercomputer that beat the best
 human chess player in the world, 18 years to solve, what should you do?
 You'd do better to let Moore's law do all the heavy lifting and leave Deep
 Blue alone and sit on your hands from 1997 until just 2 minutes ago, because
 that's how long it would take the 2013 supercomputer Tianhe-2 to solve the
 problem. And in 20 years your wristwatch will be more powerful than
 Tianhe-2.

   John K Clark

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RE: Deep Blue vs The Tianhe-2 Supercomputer

2013-08-24 Thread Chris de Morsella
 Also, Moore's law is bound to hit a physical limit. It cannot be that far
now. It's already fishy, since it's being driven mostly by multicore
architectures. Moving from the sequential to the parallel world is far from
trivial in terms of software engineering. The brain is massively parallel
and asynchronous, and we are still very bad with that sort of stuff. Maybe
that's precisely where the missing good stuff lies.
There is massive effort in the computer business to solve the
parallelization problem. For certain classes of problems it is trivial --
say dsp (digital signal processing) or image rendering... such tasks can be
easily subdivided into smaller and smaller chunks that can be farmed out to
as many concurrently running cores as one has at one's disposal. But many
tasks are much harder to parallelize because one thing in a sequence depends
on the outcomes of some other thing for example. A lot of work is going on
to try to develop compiler algorithms that can discover opportunities for
the parallelization of sequential linearized tasks in order to try to
compile code into optimally chunked tasks that can be run in parallel. But
as you said this is a hard class of problem and often it is not easily
apparent when opportunities for parallelization exist or can be re-factored
into some workflow or body of code.
Multi-core architecture is going to continue to grow exponentially and soon
we will be seeing 16 core, 32, 62, 256, 512, 1k core machines and off to the
races we go.
As you said -- going to multi-core architectures allows HW manufacturers to
continue to drive metrics in an easy manner (so far at least) though at some
point the inter communication of cores will grow harder and harder to manage
and to keep a core level bus throughput going on. 
But on the Moore's Law still is holding for tradition metrics -- apart from
the multi-core dimension of growth. The industry has also already ramped up
considerable research into radical new possibilities and materials (such as
carbon nano-tubes for example) a lot of the challenges for moving towards
for example using electron spin as the holder of information and being able
to go towards an architecture that can shuttle individual electrons. 
I don't get the sense that the industry is going to hit any fundamental
physical Law limits on the further miniaturization and speeding up of
hardware any time soon. Perhaps with traditional chip architectures limits
may not be that much further off maybe ten years perhaps -- and AMD for
example is having problems scaling down to 20nm (though Intel is churning
them out at 22nm scale), but this applies for traditional chip architectures
on silicon. 
What about graphene? DNA/other molecular computers? 
There remains a huge amount of room at the bottom to continue to scale down
and I don't see any fundamental reasons why clever technologists with
increasingly sophisticated micro and nano scale manufacturing chops cannot
continue to devise clever ways to exploit various phenomena that can be
controlled, switched and stored in one state or the other at those smaller
and smaller scales and to grow in the orthogonal dimension of 3-D as well.
In fact as fewer and fewer electrons get squeezed through gates (smaller and
smaller scales) less and less power is needed and less and less waste heat
is generated.
In fact the human brain is a clear example of just how much room there is
yet to go at the bottom... we have 20 watt multi-core machines with 86
billion processors running a one hundred trillion connection network all
crackling away in a tightly folded case about the size of a grapefruit. How
many generations of Moore's Law will it take to reach that kind of density?
-Chris



-Original Message-
From: everything-list@googlegroups.com
[mailto:everything-list@googlegroups.com] On Behalf Of Telmo Menezes
Sent: Saturday, August 24, 2013 2:00 PM
To: everything-list@googlegroups.com
Subject: Re: Deep Blue vs The Tianhe-2 Supercomputer

On Sat, Aug 24, 2013 at 9:05 PM, Platonist Guitar Cowboy
multiplecit...@gmail.com wrote:
 As I tried to comment in the other thread concerning chess: it's not 
 just about power, it's also about quality of coding. Just one fresh 
 opening, a novel variation or line in the mid game, a bug in the code, 
 one position falsely assessed, and all computing power in the universe 
 will still lose that game. To generalize this to all problems seems a 
 bit quick. PGC

I agree with the sentiment. Chess is a very narrow case though: the min-max
algorithm plus a brutal amount of computing power is surely going to beat a
human. The min-max algorithm is so simple that it is not that hard to
implement with zero defects. The issue, though, is the following: we
currently only know how to beat top human players with brutal computational
power. The part of the human brain devoted to playing chess (even in a Grand
Master) cannot possibly match what we already do artificially in terms of
computing power. It 

RE: Deep Blue vs The Tianhe-2 Supercomputer

2013-08-24 Thread Chris de Morsella
Telmo -- Another crucial difference between the brain and current computer
architectures is the huge difference between the two in terms of signal to
noise ratios. The brain is a crackling and very noisy place and is in this
way is very unlike silicon chips where the signal is very clear (at a large
energy cost incidentally) 
We may experience our minds as a splendid inner silence -- well maybe not
all of us -- but the actual brain environment is highly chatty and is
cascading with signals talking over each other more like a lively cocktail
party really.
Computer architecture is the exact opposite in this regard, and this
suggests that the two architectures must be very different and work on
different principles or at least in very different manners. 
The brain seems to excel at somehow -- through what sleight of hand? --
pulling beautifully ordered reifications of sensorial perception streams
(like the illusion we create of the three dimensional world arrayed in a
stable manner around our point of perception that does not experience sudden
gaps but instead persists in majestic stability even as the sensorial stream
shuts down -- for example whenever we move our eyeballs from one spot to
another)
And it does so in the midst of a veritable cacophony of countless signals
that would totally overwhelm any software we have and bring any attempt we
could possibly cobble together to try to manage it or make sense of it to a
grinding overloaded crashing halt.
This is a fundamental architectural difference between how logic is built
up, layer by layer, on a computer and how the brain does things. They are
profoundly different approaches to how things are done.
-Chris

-Original Message-
From: everything-list@googlegroups.com
[mailto:everything-list@googlegroups.com] On Behalf Of Telmo Menezes
Sent: Saturday, August 24, 2013 2:00 PM
To: everything-list@googlegroups.com
Subject: Re: Deep Blue vs The Tianhe-2 Supercomputer

On Sat, Aug 24, 2013 at 9:05 PM, Platonist Guitar Cowboy
multiplecit...@gmail.com wrote:
 As I tried to comment in the other thread concerning chess: it's not 
 just about power, it's also about quality of coding. Just one fresh 
 opening, a novel variation or line in the mid game, a bug in the code, 
 one position falsely assessed, and all computing power in the universe 
 will still lose that game. To generalize this to all problems seems a 
 bit quick. PGC

I agree with the sentiment. Chess is a very narrow case though: the min-max
algorithm plus a brutal amount of computing power is surely going to beat a
human. The min-max algorithm is so simple that it is not that hard to
implement with zero defects. The issue, though, is the following: we
currently only know how to beat top human players with brutal computational
power. The part of the human brain devoted to playing chess (even in a Grand
Master) cannot possibly match what we already do artificially in terms of
computing power. It must use smarter algorithms. Our brain cannot possibly
hold the gigantic search trees involved in min-max, it must be doing
something much more clever. We don't know what that is.

We are now approaching a point where we can have supercomputers with the
same estimated computational power of a human brain, but we are very far
from replicating its capabilities. There's even a lot of stuff insects do
that we are not close to matching. I dare even say bacteria. There are many
fundamental algorithms yet to be discovered, that's for sure.

Also, Moore's law is bound to hit a physical limit. It cannot be that far
now. It's already fishy, since it's being driven mostly by multicore
architectures. Moving from the sequential to the parallel world is far from
trivial in terms of software engineering. The brain is massively parallel
and asynchronous, and we are still very bad with that sort of stuff. Maybe
that's precisely where the missing good stuff lies.

Incidentally, Richard Feynman was involved with a startup that tried to
create a new type of highly parallel computer. Here's an interesting read
about it:

http://longnow.org/essays/richard-feynman-connection-machine/

I love this part:

We were arguing about what the name of the company should be when Richard
walked in, saluted, and said, Richard Feynman reporting for duty. OK, boss,
what's my assignment? The assembled group of not-quite-graduated MIT
students was astounded.

After a hurried private discussion (I don't know, you hired him...), we
informed Richard that his assignment would be to advise on the application
of parallel processing to scientific problems.

That sounds like a bunch of baloney, he said. Give me something real to
do.

So we sent him out to buy some office supplies.


Telmo.


 On Sat, Aug 24, 2013 at 6:07 PM, John Clark johnkcl...@gmail.com wrote:

 Suppose that in 1997 you had a very difficult problem to solve, so 
 difficult that it would take Deep Blue, the supercomputer that beat 
 the best human chess player in the world, 18 years 

Re: Deep Blue vs The Tianhe-2 Supercomputer

2013-08-24 Thread Telmo Menezes
On Sat, Aug 24, 2013 at 11:59 PM, Chris de Morsella
cdemorse...@yahoo.com wrote:
 Also, Moore's law is bound to hit a physical limit. It cannot be that far
 now. It's already fishy, since it's being driven mostly by multicore
 architectures. Moving from the sequential to the parallel world is far from
 trivial in terms of software engineering. The brain is massively parallel
 and asynchronous, and we are still very bad with that sort of stuff. Maybe
 that's precisely where the missing good stuff lies.
 There is massive effort in the computer business to solve the
 parallelization problem. For certain classes of problems it is trivial --
 say dsp (digital signal processing) or image rendering... such tasks can be
 easily subdivided into smaller and smaller chunks that can be farmed out to
 as many concurrently running cores as one has at one's disposal.

Hi Chris,

Yes, the so-called embarrassingly parallel problems.

 But many
 tasks are much harder to parallelize because one thing in a sequence depends
 on the outcomes of some other thing for example. A lot of work is going on
 to try to develop compiler algorithms that can discover opportunities for
 the parallelization of sequential linearized tasks in order to try to
 compile code into optimally chunked tasks that can be run in parallel. But
 as you said this is a hard class of problem and often it is not easily
 apparent when opportunities for parallelization exist or can be re-factored
 into some workflow or body of code.

Some recent progress has been made by re-discovering 50's-style
functional programming solutions -- arguably brought to the modern era
by Google's map-reduce algorithms. But this is still very far from the
dreams of the Connection Machine that I mentioned before.

 Multi-core architecture is going to continue to grow exponentially and soon
 we will be seeing 16 core, 32, 62, 256, 512, 1k core machines and off to the
 races we go.
 As you said -- going to multi-core architectures allows HW manufacturers to
 continue to drive metrics in an easy manner (so far at least) though at some
 point the inter communication of cores will grow harder and harder to manage
 and to keep a core level bus throughput going on.
 But on the Moore's Law still is holding for tradition metrics -- apart from
 the multi-core dimension of growth. The industry has also already ramped up
 considerable research into radical new possibilities and materials (such as
 carbon nano-tubes for example) a lot of the challenges for moving towards
 for example using electron spin as the holder of information and being able
 to go towards an architecture that can shuttle individual electrons.
 I don't get the sense that the industry is going to hit any fundamental
 physical Law limits on the further miniaturization and speeding up of
 hardware any time soon.
 Perhaps with traditional chip architectures limits
 may not be that much further off maybe ten years perhaps -- and AMD for
 example is having problems scaling down to 20nm (though Intel is churning
 them out at 22nm scale), but this applies for traditional chip architectures
 on silicon.
 What about graphene? DNA/other molecular computers?

From what I understand, traditional chip technology is getting close
to a point where any further miniaturisation will increase heat to an
unsustainable level. I hope you're right about new approaches, but we
don't know if they will materialise. Moore's law is just an empirical
observation, not a scientific law...

 There remains a huge amount of room at the bottom to continue to scale down
 and I don't see any fundamental reasons why clever technologists with
 increasingly sophisticated micro and nano scale manufacturing chops cannot
 continue to devise clever ways to exploit various phenomena that can be
 controlled, switched and stored in one state or the other at those smaller
 and smaller scales and to grow in the orthogonal dimension of 3-D as well.
 In fact as fewer and fewer electrons get squeezed through gates (smaller and
 smaller scales) less and less power is needed and less and less waste heat
 is generated.
 In fact the human brain is a clear example of just how much room there is
 yet to go at the bottom... we have 20 watt multi-core machines with 86
 billion processors running a one hundred trillion connection network all
 crackling away in a tightly folded case about the size of a grapefruit. How
 many generations of Moore's Law will it take to reach that kind of density?

Right, but synapse triggering is also horribly slow when compared to
transistors, and the human brains has no need for a central synch
signal. It's a totally different approach: slow, unsynchronised and
massively parallel. Imagine what we could do by combining the speed of
semiconductors with the decentralised architecture of the brain!

Telmo.

 -Chris



 -Original Message-
 From: everything-list@googlegroups.com
 [mailto:everything-list@googlegroups.com] On Behalf Of Telmo Menezes
 

Re: Deep Blue vs The Tianhe-2 Supercomputer

2013-08-24 Thread Telmo Menezes
On Sun, Aug 25, 2013 at 12:16 AM, Chris de Morsella
cdemorse...@yahoo.com wrote:
 Telmo -- Another crucial difference between the brain and current computer
 architectures is the huge difference between the two in terms of signal to
 noise ratios. The brain is a crackling and very noisy place and is in this
 way is very unlike silicon chips where the signal is very clear (at a large
 energy cost incidentally)
 We may experience our minds as a splendid inner silence

I wish! :)

 -- well maybe not
 all of us -- but the actual brain environment is highly chatty and is
 cascading with signals talking over each other more like a lively cocktail
 party really.
 Computer architecture is the exact opposite in this regard, and this
 suggests that the two architectures must be very different and work on
 different principles or at least in very different manners.

Completely agree.

 The brain seems to excel at somehow -- through what sleight of hand? --
 pulling beautifully ordered reifications of sensorial perception streams
 (like the illusion we create of the three dimensional world arrayed in a
 stable manner around our point of perception that does not experience sudden
 gaps but instead persists in majestic stability even as the sensorial stream
 shuts down -- for example whenever we move our eyeballs from one spot to
 another)
 And it does so in the midst of a veritable cacophony of countless signals
 that would totally overwhelm any software we have and bring any attempt we
 could possibly cobble together to try to manage it or make sense of it to a
 grinding overloaded crashing halt.
 This is a fundamental architectural difference between how logic is built
 up, layer by layer, on a computer and how the brain does things. They are
 profoundly different approaches to how things are done.

Undoubtably. And it might not be a coincidence that these
architectural differences are correlated with very distinct sets of
strengths and weaknesses in terms of problem solving.

Telmo.

 -Chris

 -Original Message-
 From: everything-list@googlegroups.com
 [mailto:everything-list@googlegroups.com] On Behalf Of Telmo Menezes
 Sent: Saturday, August 24, 2013 2:00 PM
 To: everything-list@googlegroups.com
 Subject: Re: Deep Blue vs The Tianhe-2 Supercomputer

 On Sat, Aug 24, 2013 at 9:05 PM, Platonist Guitar Cowboy
 multiplecit...@gmail.com wrote:
 As I tried to comment in the other thread concerning chess: it's not
 just about power, it's also about quality of coding. Just one fresh
 opening, a novel variation or line in the mid game, a bug in the code,
 one position falsely assessed, and all computing power in the universe
 will still lose that game. To generalize this to all problems seems a
 bit quick. PGC

 I agree with the sentiment. Chess is a very narrow case though: the min-max
 algorithm plus a brutal amount of computing power is surely going to beat a
 human. The min-max algorithm is so simple that it is not that hard to
 implement with zero defects. The issue, though, is the following: we
 currently only know how to beat top human players with brutal computational
 power. The part of the human brain devoted to playing chess (even in a Grand
 Master) cannot possibly match what we already do artificially in terms of
 computing power. It must use smarter algorithms. Our brain cannot possibly
 hold the gigantic search trees involved in min-max, it must be doing
 something much more clever. We don't know what that is.

 We are now approaching a point where we can have supercomputers with the
 same estimated computational power of a human brain, but we are very far
 from replicating its capabilities. There's even a lot of stuff insects do
 that we are not close to matching. I dare even say bacteria. There are many
 fundamental algorithms yet to be discovered, that's for sure.

 Also, Moore's law is bound to hit a physical limit. It cannot be that far
 now. It's already fishy, since it's being driven mostly by multicore
 architectures. Moving from the sequential to the parallel world is far from
 trivial in terms of software engineering. The brain is massively parallel
 and asynchronous, and we are still very bad with that sort of stuff. Maybe
 that's precisely where the missing good stuff lies.

 Incidentally, Richard Feynman was involved with a startup that tried to
 create a new type of highly parallel computer. Here's an interesting read
 about it:

 http://longnow.org/essays/richard-feynman-connection-machine/

 I love this part:

 We were arguing about what the name of the company should be when Richard
 walked in, saluted, and said, Richard Feynman reporting for duty. OK, boss,
 what's my assignment? The assembled group of not-quite-graduated MIT
 students was astounded.

 After a hurried private discussion (I don't know, you hired him...), we
 informed Richard that his assignment would be to advise on the application
 of parallel processing to scientific problems.

 That sounds like a bunch of 

Re: When will a computer pass the Turing Test?

2013-08-24 Thread Russell Standish
On Fri, Aug 23, 2013 at 08:34:02PM -0700, Chris de Morsella wrote:
  
 
  
 
 From: everything-list@googlegroups.com
 [mailto:everything-list@googlegroups.com] On Behalf Of John Clark
 Sent: Friday, August 23, 2013 12:58 PM
 To: everything-list@googlegroups.com
 Subject: Re: When will a computer pass the Turing Test?
 
  
 
 Every human in existence requires external enabling hardware.
 
 Yes but humans are not universal computing machines, if indeed we are
 machines. Do we know enough about how our brains work and are structured to


...

 
 If a human requires a substrate which it can manipulate in order to
 perform its logical operations then a universal human is impossible because
 the substrate would necessarily be outside and foundational to its domain.
 
 Agreed. Humans are exceedingly far from being universal. Our very sense of
 self precludes universality.
 

I may be missing your point entirely, but humans are universal
machines in the sense that they can emulate perfectly any Turing
machine, given enough time, patience, paper and pens for external storage.

They may well be capable of far more than a universal Turing machine,
but they're not less.

I don't see what the sense of self has to do with it...

-- 


Prof Russell Standish  Phone 0425 253119 (mobile)
Principal, High Performance Coders
Visiting Professor of Mathematics  hpco...@hpcoders.com.au
University of New South Wales  http://www.hpcoders.com.au


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RE: When will a computer pass the Turing Test?

2013-08-24 Thread Chris de Morsella
 I don't see what the sense of self has to do with it...

Hi Russell  ~ In the sense, that by having a sense of self we have
inescapably already separated our self from any possibility of seeing from
the perspective of a universal point of view... the all that is and can be. 

Naturally this is a matter of perception and we all exist within the set of
all that can be and is, but we perceive ourselves as having identity, and
identity is per force a perspective on something larger in which the
identified thing operates and belongs to, but from which it considers itself
separate and distinct. I use it in the sense -- so many ways to use that
word; hope it all does not come out as nonsense :) -- in the sense of how
our own perceptual lock-in, to viewing the universe from the perspective of
our own beings, is a fundamental limitation we have by nature of being. It
is very hard to get beyond ourselves to put every event and how we interpret
the streams from our senses out of becoming bound up with this
self-referential optic that we superimpose on the world impinging on us.

I do not see how a universal being could experience itself as having  a self
-- at least in the limited way we experience it. I am a believer in the
importance of our self-centered beings for what that's worth and clearly at
our stage in evolution we require it -- not selfish (hopefully), but
centered within a self, a self who perceives and who at least believes they
are imbued with free will.

But this is way off topic and I am wandering into what could easily lead off
into a whole other area that can be an endless discussion.

 I may be missing your point entirely, but humans are universal machines
in the sense that they can emulate perfectly any Turing machine, given
enough time, patience, paper and pens for external storage.

True and perhaps in theory possible, but in practice as soon as we begin to
deal with ever increasing volumes of external systems, especially ones that
respond to events and pressures to change, from multiple arrays of sources,
it grows geometrically harder to synchronize and manage and to keep stuff
like reentrancy from happening.  So in practice I think this breaks down at
some stochastic threshold and the problem mushrooms out of control as the
bookkeeping effort required begins to overtake the value of each increment
of extra external inclusion into the set of things that need to be kept
tracked of and taken account of.

Cheers,
-Chris

-Original Message-
From: everything-list@googlegroups.com
[mailto:everything-list@googlegroups.com] On Behalf Of Russell Standish
Sent: Saturday, August 24, 2013 4:04 PM
To: everything-list@googlegroups.com
Subject: Re: When will a computer pass the Turing Test?

On Fri, Aug 23, 2013 at 08:34:02PM -0700, Chris de Morsella wrote:
  
 
  
 
 From: everything-list@googlegroups.com 
 [mailto:everything-list@googlegroups.com] On Behalf Of John Clark
 Sent: Friday, August 23, 2013 12:58 PM
 To: everything-list@googlegroups.com
 Subject: Re: When will a computer pass the Turing Test?
 
  
 
 Every human in existence requires external enabling hardware.
 
 Yes but humans are not universal computing machines, if indeed we are 
 machines. Do we know enough about how our brains work and are 
 structured to


...

 
 If a human requires a substrate which it can manipulate in order to
 perform its logical operations then a universal human is impossible 
 because the substrate would necessarily be outside and foundational to its
domain.
 
 Agreed. Humans are exceedingly far from being universal. Our very 
 sense of self precludes universality.
 

I may be missing your point entirely, but humans are universal machines in
the sense that they can emulate perfectly any Turing machine, given enough
time, patience, paper and pens for external storage.

They may well be capable of far more than a universal Turing machine, but
they're not less.

I don't see what the sense of self has to do with it...

-- 


Prof Russell Standish  Phone 0425 253119 (mobile)
Principal, High Performance Coders
Visiting Professor of Mathematics  hpco...@hpcoders.com.au
University of New South Wales  http://www.hpcoders.com.au


--
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to 

RE: Deep Blue vs The Tianhe-2 Supercomputer

2013-08-24 Thread Chris de Morsella


-Original Message-
From: everything-list@googlegroups.com
[mailto:everything-list@googlegroups.com] On Behalf Of Telmo Menezes
Sent: Saturday, August 24, 2013 3:33 PM
To: everything-list@googlegroups.com
Subject: Re: Deep Blue vs The Tianhe-2 Supercomputer

On Sun, Aug 25, 2013 at 12:16 AM, Chris de Morsella cdemorse...@yahoo.com
wrote:
 Telmo -- Another crucial difference between the brain and current 
 computer architectures is the huge difference between the two in terms 
 of signal to noise ratios. The brain is a crackling and very noisy 
 place and is in this way is very unlike silicon chips where the signal 
 is very clear (at a large energy cost incidentally) We may experience 
 our minds as a splendid inner silence

I wish! :)
You and I both :)

 -- well maybe not
 all of us -- but the actual brain environment is highly chatty and is 
 cascading with signals talking over each other more like a lively 
 cocktail party really.
 Computer architecture is the exact opposite in this regard, and this 
 suggests that the two architectures must be very different and work on 
 different principles or at least in very different manners.

Completely agree.

 The brain seems to excel at somehow -- through what sleight of hand? 
 -- pulling beautifully ordered reifications of sensorial perception 
 streams (like the illusion we create of the three dimensional world 
 arrayed in a stable manner around our point of perception that does 
 not experience sudden gaps but instead persists in majestic stability 
 even as the sensorial stream shuts down -- for example whenever we 
 move our eyeballs from one spot to
 another)
 And it does so in the midst of a veritable cacophony of countless 
 signals that would totally overwhelm any software we have and bring 
 any attempt we could possibly cobble together to try to manage it or 
 make sense of it to a grinding overloaded crashing halt.
 This is a fundamental architectural difference between how logic is 
 built up, layer by layer, on a computer and how the brain does things. 
 They are profoundly different approaches to how things are done.

 Undoubtably. And it might not be a coincidence that these architectural
differences are correlated with very distinct sets of strengths and
weaknesses in terms of problem solving.

Precisely! And also why, it is perhaps misguided to speak of it in such a
binary manner -- not to imply you were at all :)   The range of all
possibilities is vaster than: AI or not AI -- or, more succinctly just
dropping the artificial part for the moment and re-stating it as
Intelligence / not Intelligence. Most probably there are many ways of
intelligence and the intelligence that we are imbued with is not the end all
and be all of all possible forms intelligence (in the abstract) could take.
I certainly hope it isn't; what an utterly mundane universe that would make.

Even just trying to nail down a definition of what intelligence is --
especially if we attempt to abstract the definition so as not to limit it
overly to our own peculiar evolutionary path. (peculiar not in the sense of
being bad or having a negative connation, but of being particular). I can't
speak for others, but it is really hard for me whenever I try to grasp this
particular slippery eel and try to fix it with some definite form or model
perhaps. 
Even within our own minds we have multiple types of intelligence operating
and not all of them are symbolic/verbal forms. Sometimes it seems to me, as
if it is a somewhat ad hoc tool set that we hang this concept on and expect
things to manifest similarly in other beings. Our sense of what intelligence
is and is not, has to have been influenced and is to a large degree informed
by the optic of our own evolutionary end point (where we are at now... not
in the sense of forever remaining there) and whenever we speak of
intelligence in an abstract manner we need to keep this in mind.

Cheers,
-Chris

Telmo.

 -Chris

 -Original Message-
 From: everything-list@googlegroups.com 
 [mailto:everything-list@googlegroups.com] On Behalf Of Telmo Menezes
 Sent: Saturday, August 24, 2013 2:00 PM
 To: everything-list@googlegroups.com
 Subject: Re: Deep Blue vs The Tianhe-2 Supercomputer

 On Sat, Aug 24, 2013 at 9:05 PM, Platonist Guitar Cowboy 
 multiplecit...@gmail.com wrote:
 As I tried to comment in the other thread concerning chess: it's not 
 just about power, it's also about quality of coding. Just one fresh 
 opening, a novel variation or line in the mid game, a bug in the 
 code, one position falsely assessed, and all computing power in the 
 universe will still lose that game. To generalize this to all 
 problems seems a bit quick. PGC

 I agree with the sentiment. Chess is a very narrow case though: the 
 min-max algorithm plus a brutal amount of computing power is surely 
 going to beat a human. The min-max algorithm is so simple that it is 
 not that hard to implement with zero defects. The issue, though, is 
 the