Re: [FRIAM] Dope slaps, anyone? Text displaying correctly?

2023-01-12 Thread glen
Ouch. My bad. I meant Solomon Feferman: 
https://en.m.wikipedia.org/wiki/Solomon_Feferman

I've mentioned him so many times on the list, I ass/u/me/d everyone would know 
who I meant. I'll try to do better in the future.

On January 12, 2023 7:54:46 PM PST, Nicholas Thompson  
wrote:
>Dear EricS, Glen, and anybody else who is following.
>
>Thank you so much for pitching in.   As I have often said, I am incapable
>of thinking alone, so your comments are wonderfully welcome.  And thank you
>also for confirming that what I wrote was readable.  I am having to work in
>gmail at the moment, which is , to me, an unfamiliar medium.
>
>First, Eric:  I am trying to talk math-talk in this passage, so poetry is
>not an excuse if I fail to be understood by you.
>
>*FWIW: as I have heard these discussions over the years, to the extent that
>there is a productive analogy, I would say (unapologetically using my
>words, and not trying to quote his) that Peirce’s claimed relation between
>states of knowledge and truth (meaning, some fully-faithful representation
>of “what is the case”) is analogous to the relation of sample estimators in
>statistics to the quantity they are constructed to estimate. We don’t have
>any ontological problems understanding sample estimators and the quantities
>estimated, as both have status in the ordinary world of empirical things.
>In our ontology, they are peers in some sense, but they clearly play
>different roles and stand for different concepts.*
>
>I like very much what you have written here and think it states, perhaps
>more precisely than I managed, exactly what I was trying to say.  I do want
>to further  stress the fact that if a measurement system is tracking a
>variate that is going to stabilize in the very long run, then it will on
>average approximate that value with greater precision the more measures are
>taken.  Thus, not only does the vector of the convergence constitute
>evidence for the location of the truth, the fact that there is convergence
>is evidence that there is a truth to be located.   Thus I agree with you
>that the idea behind Peirce's notion of truth is the central limit theorem.
>
>Where  we might disagree is whether there is any meaning to truth beyond
>that central limit.  This is where I found you use of "ontology" so
>helpful. When talking about statistics, we are always talking about
>mathematical structures in experience and nothing beyond that.  We are
>assuredly talking about only one kind of thing.  However, I see you
>wondering, are there things to talk about beyond the statistical structures
>of experience?   I hear you wanting to say "yes" and I see me wanting to
>say "no".
>
>God knows ... and I use the term advisedly ... my hankering would seem  to
>be arrogant to the point of absurdity.  Given all the forms of discourse in
>which the words "truth" and "real" are used, all the myriad language games
>in which these words appear as tokens, how, on earth, could I (or Peirce)
>claim that there exists one and only one standard by which the truth of any
>proposition or the reality of any abject can be demonstrated?  I think I
>have to claim (and I think Peirce claims it) that whatever people may say
>about how they evaluate truth or reality claims, their evaluation always
>boils down to an appeal to the long run of experience.
>
>Our difference of opinion, if we have one, is perhaps  related to the
>difference of opinion between James and Peirce concerning the relation
>between truth as a believed thing and truth as a thing beyond the belief of
>any finite group of people.  James was a physician, and presumably knew a
>lot about the power of placebos.  He also was a ditherer, who famously took
>years to decide whom to marry  and agonized about it piteously to his
>siblings.  James was fascinated by the power of belief to make things true
>and the power of doubt to make them impossible.  Who could jump a chasm who
>did not believe that he could jump a chasm!   For Peirce, this sort of
>thinking was just empty psychologizing.  Truth was indeed a kind of
>opinion, but it was the final opinion, that opinion upon which the
>operation of scientific practices and logical inquiry would inevitably
>converge.
>
>EricC, the Jamesian, will no doubt have a lot to say about this, including
>that it is total garbage.
>
>As for Fefferman,  my brief attempt to learn enough about Fefferman to
>appear intelligent led me to the website,
>http://www.vipfaq.com/Charles%20Fefferman.html, which might be the weirdest
>website I have ever gone to.   I don't THINK that a language-free language
>is my unicorn, but Glen NEVER says something for nothing, so I am
>withholding judgement until he boxes my ears again.  I think my unicorn may
>be that all truth is statistical and, therefore, provisional.  Literally:
>a seeing into the future.
>
>Thanks again for helping out, you guys!
>

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Re: [FRIAM] Dope slaps, anyone? Text displaying correctly?

2023-01-12 Thread Nicholas Thompson
Dear EricS, Glen, and anybody else who is following.

Thank you so much for pitching in.   As I have often said, I am incapable
of thinking alone, so your comments are wonderfully welcome.  And thank you
also for confirming that what I wrote was readable.  I am having to work in
gmail at the moment, which is , to me, an unfamiliar medium.

First, Eric:  I am trying to talk math-talk in this passage, so poetry is
not an excuse if I fail to be understood by you.

*FWIW: as I have heard these discussions over the years, to the extent that
there is a productive analogy, I would say (unapologetically using my
words, and not trying to quote his) that Peirce’s claimed relation between
states of knowledge and truth (meaning, some fully-faithful representation
of “what is the case”) is analogous to the relation of sample estimators in
statistics to the quantity they are constructed to estimate. We don’t have
any ontological problems understanding sample estimators and the quantities
estimated, as both have status in the ordinary world of empirical things.
In our ontology, they are peers in some sense, but they clearly play
different roles and stand for different concepts.*

I like very much what you have written here and think it states, perhaps
more precisely than I managed, exactly what I was trying to say.  I do want
to further  stress the fact that if a measurement system is tracking a
variate that is going to stabilize in the very long run, then it will on
average approximate that value with greater precision the more measures are
taken.  Thus, not only does the vector of the convergence constitute
evidence for the location of the truth, the fact that there is convergence
is evidence that there is a truth to be located.   Thus I agree with you
that the idea behind Peirce's notion of truth is the central limit theorem.

Where  we might disagree is whether there is any meaning to truth beyond
that central limit.  This is where I found you use of "ontology" so
helpful. When talking about statistics, we are always talking about
mathematical structures in experience and nothing beyond that.  We are
assuredly talking about only one kind of thing.  However, I see you
wondering, are there things to talk about beyond the statistical structures
of experience?   I hear you wanting to say "yes" and I see me wanting to
say "no".

God knows ... and I use the term advisedly ... my hankering would seem  to
be arrogant to the point of absurdity.  Given all the forms of discourse in
which the words "truth" and "real" are used, all the myriad language games
in which these words appear as tokens, how, on earth, could I (or Peirce)
claim that there exists one and only one standard by which the truth of any
proposition or the reality of any abject can be demonstrated?  I think I
have to claim (and I think Peirce claims it) that whatever people may say
about how they evaluate truth or reality claims, their evaluation always
boils down to an appeal to the long run of experience.

Our difference of opinion, if we have one, is perhaps  related to the
difference of opinion between James and Peirce concerning the relation
between truth as a believed thing and truth as a thing beyond the belief of
any finite group of people.  James was a physician, and presumably knew a
lot about the power of placebos.  He also was a ditherer, who famously took
years to decide whom to marry  and agonized about it piteously to his
siblings.  James was fascinated by the power of belief to make things true
and the power of doubt to make them impossible.  Who could jump a chasm who
did not believe that he could jump a chasm!   For Peirce, this sort of
thinking was just empty psychologizing.  Truth was indeed a kind of
opinion, but it was the final opinion, that opinion upon which the
operation of scientific practices and logical inquiry would inevitably
converge.

EricC, the Jamesian, will no doubt have a lot to say about this, including
that it is total garbage.

As for Fefferman,  my brief attempt to learn enough about Fefferman to
appear intelligent led me to the website,
http://www.vipfaq.com/Charles%20Fefferman.html, which might be the weirdest
website I have ever gone to.   I don't THINK that a language-free language
is my unicorn, but Glen NEVER says something for nothing, so I am
withholding judgement until he boxes my ears again.  I think my unicorn may
be that all truth is statistical and, therefore, provisional.  Literally:
a seeing into the future.

Thanks again for helping out, you guys!

Nick



Consider, for a moment, the role of placebos in medicine.

Consider the ritual of transubstantiation.  At the moment that you sip it,
is the contents of the chalice Really "blood."

*Peirce writes, "Consider what effects, which may have practical bearing,
the object of your conception to have.  Then our conception of those
effects is our whole of our conception of the object.*

"The Whole"?!  Really?  Now somebody of  Peircean Pursuasion would point
out 

Re: [FRIAM] A new age of AI is dawning

2023-01-12 Thread glen

This paper covers (nicely I think) the idea of embedding a LLM in a larger 
context, including error correcting against the world. It's not a slam dunk. It 
still might be the case that all *we* do is predict the next token. But I think 
the results around predictive processing indicate that even if that's what 
we're doing fundamentally, we do it in lower and higher orders ... something an 
LLM won't be able to do. We'd need a (large) visual model, a (large) 
enteroception model, maybe a (large) environment model, etc. Cue the 
metaphor-philes!

This article was interesting:

https://www.newyorker.com/magazine/2023/01/16/how-should-we-think-about-our-different-styles-of-thinking

I've doubted "learning styles" as any kind of scientifically justifiable thing. But I do admit to being 
"verbal" ... or what I call "algebraic" ... instead of "object" or "spatial". If LLMs can 
be safely chalked up as fundamentally sequential reasoners (that may simulate visual reasoning), then we're a tiny step closer to 
tests that could falsify AGI.

On 1/12/23 12:08, Jochen Fromm wrote:

The buzz about chatGPT has apparently convinced Microsoft to invest $10 billion 
(!) in OpenAI. It looks like a new arms race between Google, Microsoft and Meta 
is emerging. Who will create the first self-aware AI by connecting such a large 
language model to the world?
https://www.cnbc.com/2023/01/10/microsoft-to-invest-10-billion-in-chatgpt-creator-openai-report-says.html

It feels as if human-level AI is not that far away anymore now that machines have learned 
language. This NY Times article about large language models and ChatGPT is a bit older, 
but still good. As the article says "maybe predicting the next word is just part of 
what thinking is."
https://www.nytimes.com/2022/04/15/magazine/ai-language.html



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[FRIAM] A new age of AI is dawning

2023-01-12 Thread Jochen Fromm
The buzz about chatGPT has apparently convinced Microsoft to invest $10 billion 
(!) in OpenAI. It looks like a new arms race between Google, Microsoft and Meta 
is emerging. Who will create the first self-aware AI by connecting such a large 
language model to the 
world?https://www.cnbc.com/2023/01/10/microsoft-to-invest-10-billion-in-chatgpt-creator-openai-report-says.htmlIt
 feels as if human-level AI is not that far away anymore now that machines have 
learned language. This NY Times article about large language models and ChatGPT 
is a bit older, but still good. As the article says "maybe predicting the next 
word is just part of what thinking 
is."https://www.nytimes.com/2022/04/15/magazine/ai-language.html-J.-. --- - / ...- .- .-.. .. -.. / -- --- .-. ... . / -.-. --- -.. .
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Re: [FRIAM] Sorting Algorithm? AI? Identifying "types" within data

2023-01-12 Thread Eric Charles
I don't mind building something, I don't know where to start.

What are some keywords to look for, or some articles to start from?

I'm asking here exactly because neither I, nor the two data scientists who
now ostensibly work for me, seem to be able to figure out where to start at
it.

(Obviously I would have preferred to find that there WAS something
out-of-the-box, I'm happy for anything that is appreciably ahead of
starting-from-scratch, because if that's where we are, it's never
happening.)



On Thu, Jan 12, 2023 at 9:51 AM glen  wrote:

> Well, it *is* a "thing". We're doing something very similar on our
> project, classifying patient types. It's just that there's no
> standard/generic/singular way to do it. I get the feeling you're looking
> for some sort of black box process you can blindly apply. And that's not a
> thing. But there's loads of research and methods on how to classify such
> things. Which one will actually work with your data is a question only
> those looking at the data can answer.
>
> You could anonymize that data and post it here (or wherever) and hold a
> contest to see who gets the best classifier. Offer a $1000 reward. 8^D
>
> On 1/11/23 18:08, Eric Charles wrote:
> > I'm also trying to do some sort of career classification game,
> originally because I thought it wouldn't be too hard. IF it was possible to
> do the career classification game, it would de facto assist with the
> attrition prediction. But if that just kind of isn't a thing, then I guess
> it isn't a thing .
>
> --
> ꙮ Mɥǝu ǝlǝdɥɐuʇs ɟᴉƃɥʇ' ʇɥǝ ƃɹɐss snɟɟǝɹs˙ ꙮ
>
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[FRIAM] unrest in SoAm & Global ideological/sociopolitical/economic alignment...

2023-01-12 Thread Steve Smith

GaryS, et al  -

I was recently trying to make a little more sense of the larger 
sociopolitical situation across central/south America and realized that 
your location in Ecuador might provide some useful parallax.


   https://www.as-coa.org/articles/2023-elections-latin-america-preview

I was (not?) surprised to read that there was a renewed interest in 
"regional integration".    This article references Lula and Obrador and 
several other Latin American leaders who might be attempting a broader 
ideological (and economic) alignment/cooperation across the region.


   
https://www.bloomberglinea.com/english/will-lula-achieve-regional-integration-in-latin-america/

With the unrest of the summer triggered? by energy/fossil-fuel prices it 
seems like Ecuador has become (temporarily, modestly) unbalanced which 
seems like an opportunity for change, whether for better or worse.   I 
see in the first article (Elections Preview) that Lasso has a very low 
approval rating and the upcoming (February) elections might 
include/yield a recall for him?


I lived on the border of AZ/MX as a teen in the early 70s and the recent 
memory/residue of the Golden Age of Latin America was still evident.  
The Mexican border town (Agua Prieta) still had moderately grand 
facilities and institutions (e.g.  A huge library with elaborate 
fountains on the grounds, etc) even though they were not able to support 
them in that grandeur...   So I think I still have an ideation that 
Latin America has many of the resources or (hidden) momentum to achieve 
a resurgence of some sort.


These reflections are partly triggered by this interview/article 
produced by WBUR/Boston and distributed via NPR:


   https://www.wbur.org/onpoint/2023/01/11/8-billion-earth-population-rise-human

Which reminded me that while we *do* have a total-population problem 
with our 8B and rising numbers (and 90+ % of land animal by mass being 
human or human domesticates), the *distribution* of people, and more to 
the point the demographic fecundity/fertility distribution is very 
uneven and in fact seems to be inversely proportional to various 
features of human civilization ranging from GDP to education to 
technological development.    Some (like DJT) turn this into a judgement 
and a reason for resentment/fear (e.g. S*hole country labels) but others 
have a more progressive view.   An excerpt from the WBUR interview/article:


   *Jennifer Sciubba: *"We're moving toward this aging and shrinking
   world, and we are worried because we can't sustain that same huge
   level of economic growth in the past. And we do need to think about
   what that might look like, so we can look relook at concepts like
   retirement. We can look at concepts like what is work life. We also,
   though, have to start thinking about family and marriage. And, you
   know, we're talking about a paradigmatic shift.

   "That means we have to look at the world through a completely
   different lens than we've looked at the world in the past. But all
   of our theories about the good life, our economic theories, our
   political theories, those were all developed under conditions of
   population growth and economic growth, as William said. So it's
   really hard to get a paradigmatic shift and say, what if we try to
   look at the world in a different way? Can we look at an aging and
   shrinking society as a good thing? Can we look at growing older
   individually as a good thing? We've not been good at that. And so
   we're kind of taking that negativity and applying it at the societal
   level."

This passage specifically references aging (individual and population) 
but there are other references to economic/technological disparities.


I also defer here to others who have an international POV (e.g. Pieter 
in South Africa,  Sarbajit in India, Jochen in Germany, and I believe we 
have someone from Cuba, I think we lost (off the list) Mohammed from 
Egypt a few years ago, etc.) as well.    We are not a very demographicly 
representative group here but still offer a somewhat broad samplying by 
some measures.


I realize this is yet another of my rambly maunderings but I'd be 
curious to hear what others are observing/thinking about these issues in 
this current time of global flux.


- Steve
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Re: [FRIAM] Sorting Algorithm? AI? Identifying "types" within data

2023-01-12 Thread glen

Well, it *is* a "thing". We're doing something very similar on our project, 
classifying patient types. It's just that there's no standard/generic/singular way to do 
it. I get the feeling you're looking for some sort of black box process you can blindly 
apply. And that's not a thing. But there's loads of research and methods on how to 
classify such things. Which one will actually work with your data is a question only 
those looking at the data can answer.

You could anonymize that data and post it here (or wherever) and hold a contest 
to see who gets the best classifier. Offer a $1000 reward. 8^D

On 1/11/23 18:08, Eric Charles wrote:

I'm also trying to do some sort of career classification game, originally because I 
thought it wouldn't be too hard. IF it was possible to do the career classification 
game, it would de facto assist with the attrition prediction. But if that just kind 
of isn't a thing, then I guess it isn't a thing .


--
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