Cheap memory?

D

David B. Held

Scott T. Jensen said:
[...]
Would that secret funding be from the Men In Black, the Illuminati,
or the New World Order? Or would you have to kill me after you
tell me?

Actually, that "secret" funding would be from the IT dept. of any
corporation with something to gain from AI technology. If you
were a Fortune 500 CIO and had working AI in your dept., who
would you tell? Why?
Whoops! Sorry, everyone, I've been feeding the trolls. I'm done
with this person.

I'm not the one claiming to have an AI so powerful I need a cluster
to run it on.

Dave
 
D

David Longley

Eray said:
Don't be ridiculous. You are trolling.

Check your mind out.

Cheers,

Computer Scientists: The "Crab People" of Neuroscience and "AI"?

No, I think he's basically right. Where he's wrong is just in not saying
that it should be behaviour analysts, not "psychologists". Certainly, up
to the 1980s in neuroscience, it was the research scientists who gave
the computer department instructions (they didn't like it much but they
complied - where I worked, the scientists worse white coats <g>). The
computer people, skilled though they were, were there in a technical
capacity (and I can see how it would have been resented, as they would
take the user-requirement and have to code it). They felt they were
writing the theory, and to extent, they were of course. But note how
that was driven by empirical scientific research. It was not sui
generis. The hard part is getting to the stage where you even know there
is a problem and can articulate it so that it can be programmed, even in
scientific language. The computer people ("crab people" get the
allusion?) were more like lab technicians than scientists. Even then,
there was a problem of "the stationary section taking over the office"
syndrome. That seems to be largely what has insidiously happened though.

This does not deny the important contribution which computer science and
engineering makes, but it has to be remembered that empirical scientists
have always "programmed", be that in chalk and talk theory construction
(modelling) or in writing code in FORTRAN etc in the early days to
control equipment or run statistical analyses. Whilst researchers will
use multi-variate statistics (both descriptive and inferential) to
analyse data, many in "AI" and "Computational Neuroscience" seem to have
fallen into the trap of believing their own hype when they "cognitivise"
these routines.

In most cases they *are* providing a service in what is today called,
perhaps misleadingly, for politically correct reasons "multidisciplinary
research", but it is just a bizarre form of grandiose egotism to assert
that computer scientists are running or leading these disciplines. To
say that the lead must come from behaviour, is not to give honorific
*personal* status to the *people* doing the behavioural work, it's just
to say that that *work* must guide neuroscience and the computational
modelling and engineering. We have been through this before in some
detail within comp.ai.philosophy over the years. The consequence of not
getting your priorities right over this is, as Scott rightly says, that
you are likely to end up with people who really know next to nothing
about behaviour, trying to do things that they just don't understand.

Sometimes - it looks like the lunatics (computer scientists/technicians
- and I only refer to those "lunatics" who think they *do* run the show)
really are running the asylum (neuroscience/AI). If you think this
through carefully (which *you* need to) you'll see that your failure to
grasp this accounts for many of the other silly things you end up
saying.

[Note, behaviour analysis - *not* psychology, most of "psychology" is
cognitive and that's not the place to take the cues from either.]
 
A

Al Dykes

Scott T. Jensen said:
[...]
Would that secret funding be from the Men In Black, the Illuminati,
or the New World Order? Or would you have to kill me after you
tell me?

Actually, that "secret" funding would be from the IT dept. of any
corporation with something to gain from AI technology. If you
were a Fortune 500 CIO and had working AI in your dept., who
would you tell? Why?
Whoops! Sorry, everyone, I've been feeding the trolls. I'm done
with this person.

I'm not the one claiming to have an AI so powerful I need a cluster
to run it on.

Dave


Lots of the classic AI work was done on machines that were so slow
that it wouldn't pay to turn one on today. Your grandma's PC is
faster. The OP seems to hope that there is some source of useful
memory and disk space that is much cheaper than what can be found on
pricewatch.com. It doesn't exist.

FWIW the OP can put together a dual operton and 16GB of memory and a
few hundred gig of disk for a couple thousand bucks. That should be
enough to get a proof of concept runnning and to collect some real
data about how much more is needed. He's likely to find that either
his idea is flawed, or hopefully that the dual operteron is enough.
If he finds he needs 100 time more resources, he's talking $200k,
which isn't big bucks when you look for funding, if you're a serious
player.

It sound like the OP has no feel for how much programming can be
stuffed into 16GB of ram, or 500GB of disk space.
 
T

Ted Warring

I am no longer sure of the number of people that I have heard claim to
"know how to solve AI". I could list at least half a dozen that most
everyone in the newsgroup would recognize. The characteristics of the
claimants usually divides them into two groups:

1 - Those that have only begun to look into the "problem", but feel
certain that their personal insights and intuitions indicate the
"problem" can be solved if they truly apply themselves.

2 - Those that have spent more time in the field, and feel that if
they have just a little "more" of something that the solution will
emerge. Sometimes that is more connections, sometimes more RAM,
sometimes more speed, sometimes more rules or a bigger knowledge-base.
This belief is usually based upon whatthey feel to be promising
initial experiments, and the hope that doing the same thing on a
bigger scale will have proportionally better results.

The one thing common to both groups is that none of them have
re-surfaced with a working general intelligence adequate to produce a
robotic butler, electronic replacement for the family dog, or even
advancement in factory robotic intelligence making them a millionaire.

The ones that simply disappear have my sympathy, the ones that demand
that we all believe them without any proof (and usually without a bit
of evidence) are kooks.

One of my favorite responses (borrowed from Jack Dunietz) is: "The
proof is in the pudding".

Perhaps one of these days someone will come back with just such proof,
but to date I hear nothing but shouted professions of having the best
pudding recipe on the planet.

What is worse though, are those that spend their career focused on the
exact speed the mixer should be set to (and insulting all those that
disagree), and never attempt to make pudding themselves.

Personally I would be happy to see some pudding, no matter who the
chef was.

-Ted Warring

David B. Held said:
Scott T. Jensen said:
[...]
Would that secret funding be from the Men In Black, the Illuminati,
or the New World Order? Or would you have to kill me after you
tell me?

Actually, that "secret" funding would be from the IT dept. of any
corporation with something to gain from AI technology. If you
were a Fortune 500 CIO and had working AI in your dept., who
would you tell? Why?
Whoops! Sorry, everyone, I've been feeding the trolls. I'm done
with this person.

I'm not the one claiming to have an AI so powerful I need a cluster
to run it on.

Dave
 
S

Scott T. Jensen

David Longley said:
No, I think he's basically right.

Needless to say, I agree this and the rest of your post. All except for...
Where he's wrong is just in not saying that it should be
behaviour analysts, not "psychologists".

I, myself, prefer the term behaviorist. And when I say "psychologist",
that's really what I mean. Yes, I know there are other schools in
psychology. It is just presentation problem of mine. Just as when one says
"minister", one almost always only means a minister of one's faith and not
all faiths.

Scott Jensen
 
D

David Longley

Eray said:
Don't be ridiculous. You are trolling.

Check your mind out.

Cheers,

Computer Scientists: The "Crab People" of Neuroscience and "AI"?

No, I think he's basically right. Where he's wrong is just in not saying
that it should be behaviour analysts (not "psychologists"). Certainly,
up to the 1980s in neuroscience, it was the research scientists who gave
the computer department instructions (they didn't like it much but they
complied - where I worked, the scientists wore white coats <g>). The
computer people, skilled though they were, were there in a technical
capacity (and I can see how it would have been resented, as they would
take the user-requirements and have to code it). They felt they were
writing the theory, and to an extent, they were of course. But note how
that was driven by empirical scientific research. It was not sui
generis. The hard part is getting to the stage where you even know there
is a problem and can articulate it so that it can be programmed, even in
scientific ordinary language. The computer people ("crab people" get the
allusion?) were more like lab technicians than scientists. Even then,
there was a bit of "the stationary section taking over the office"
syndrome. That seems to be largely what has insidiously happened over
the years though.

This does not deny the important contribution which computer science and
engineering makes, but it has to be remembered that empirical scientists
have always "programmed", be that in chalk and talk theory construction
(modelling), or in writing code in FORTRAN etc in the early days to
control equipment or run statistical analyses. Whilst researchers will
use multi-variate statistics (both descriptive and inferential) to
analyse data, many in "AI" and "Computational Neuroscience" seem to have
fallen into the trap of believing their own hype when they "cognitivize"
these routines (as ANNs for example).

In most cases they *are* providing a service in what is today called,
(perhaps misleadingly, for little more than "politically correct"
reasons) "multidisciplinary research", but it is just a bizarre form of
grandiose egotism to assert that computer scientists are running, or
leading these disciplines. To say that the lead must come from behaviour
and "Behaviour Analysis", is not to give honorific *personal* status to
the *people* doing the behavioural work, it's just to say that that
*work* must guide neuroscience and the computational modelling and
engineering (as in fact it does). We have been through this before in
some detail within comp.ai.philosophy over the years. The consequence of
not getting your priorities right over this is, as Scott rightly says,
that you are likely to end up with people who really know next to
nothing about behaviour, trying to do things that they just don't
understand.

Sometimes - it looks like the lunatics i.e. the computer
scientists/technicians (and I only refer to those "lunatics" who think
they *do* run the show) really are running the asylum ("cognitive"
neuroscience/AI). If you think this through carefully (which *you*
specifically need to do) you'll see that your failure to grasp this,
accounts for many of the other silly things that you end up saying.

[Note, Behaviour Analysis - *not* psychology. Most of "psychology" is
cognitive and that's not the place to take the cues from either.]
 
M

Matt

David said:
The computer people ("crab people" get the
allusion?) were more like lab technicians than scientists. Even then,
there was a problem of "the stationary section taking over the office"
syndrome. That seems to be largely what has insidiously happened though.

I suppose there was a shift to whatever approaches received
funding---i.e. the approaches that seemed to achieve the best results.
 
D

David Longley

Matt said:
I suppose there was a shift to whatever approaches received
funding---i.e. the approaches that seemed to achieve the best results.
It's more complicated than that, though the first clause is obviously
true. The key word in the second, is of course "seemed", and to
appreciate more on the problematic nature of how things seem, and how
wrong that can actually be you don't need to look far, although if
anyone wants some background, they might like to watch/read Kahneman's
Nobel lecture/video or look through some of the material below and
associated papers.
 
G

German News Server

Oh Brother! I've managed programmers like that in the past. My advice is
to keep your money in your pocket. When he can better define what it is
that he is trying to do and when he can offer some proof that it's possible
to do within the constraints you provide (money, time, etc.), then you might
want to talk to him again (I doubt that will happen because I don't think he
knows what he's doing). Anybody who so firmly believes that he has an idea
that nobody else has come up with is either a fool or is quite naive. As I
said, keep your money.

The largest and most difficult problems can be estimated pretty well by
people who know what they're doing. Don't kid yourself into thinking that
NASA (for example) didn't have a really good estimate of the computer power
and memory needed to control the Space Shuttle. When all was said and done
on April 12, 1981 (first flight of the Shuttle) the estimates made years
before were right on the mark.
d.
===
 

Ask a Question

Want to reply to this thread or ask your own question?

You'll need to choose a username for the site, which only take a couple of moments. After that, you can post your question and our members will help you out.

Ask a Question

Top