[Fis] Fis Digest, Vol 105, Issue 12 Human Wisdom vs Meta-Intelligence
Mark Johnson
johnsonmwj1 at gmail.com
Wed Nov 8 09:28:34 CET 2023
Dear all
I think it would be helpful to discourage use of the term "artificial
intelligence" to describe this technology. Much better to call it "*artificial
anticipation*" as a description of what it actually does.
In that vein, it's a terrible loss that Loet Leydesdorff is no longer with
us, not least because he had a profound understanding of anticipation based
on the work of Robert Rosen and Daniel Dubois. But the work is there and it
tells us how anticipation works. Current AI is pretty close to this.
"AI" or "AA" is not a database. It has a different architecture. It is a
new technology, built in new way. We see very little technology that is
genuinely "new". Even the web is basically a distributed database (it gives
stuff back that people put in).
Do we anticipate like AI? Well I recommend reading Leydesdorff to help
answer that (kind of, yes).
How are we different in our anticipation? That's a better question than the
one about intelligence or wisdom.
Does intelligence and consciousness derive from the anticipation in nature?
To me, that is a question about evolutionary biology and physiological
function, about which science is only beginning to address.
Will we ever get artificial intelligence?Maybe Stafford Beer and Gordon
Pask were on to something when they were trying to make computers out of
ponds or chemicals. A lot depends on how we change our epistemology to
interpret the computations of nature.
Best wishes
Mark
On Wed, 8 Nov 2023, 07:46 Louis Kauffman, <loukau at gmail.com> wrote:
> Dear Eric,
> The boundary between our dreams and our actualities is vague.
> We do not yet actually have AI.
> And when we get it, it will not longer be artificial.
> AI = ~ AI.
> The present LLM’s are nowhere near doing creative mathematics.
> It is not enough to mimic rationality to do creative mathematics.
> When the rules are all given and a search space is specified,
> then computers can look for and find mathematical proofs that humans
> would not find without them.
> This has been done and it will be done spectacularly in the future.
> This will be exciting but we (the mathematicians) are designers of these
> games.
> We will always be happy to see the machines go forward into more and more
> possibilities.
>
> The key concepts here are comprescence and coalescence.
> As we work with technologies we are no longer alongside them, we are
> coalesced with them.
> I use my glasses by putting them on and becoming the world view that
> happens in SEEING THROUGH them.
> And then “I” have lost “my” objectivity.
> It was never mine.
> Best,
> Lou
> P.S. Please note that I write in such a way that it is tempting to imagine
> arguing with my point of view.
> But I do not have the point of view. You have the point of view. And when
> you argue with “me” you are arguing with yourself.
> My intent is to write down points of view until they become absurd and
> turn into other points of view.
> I trick you into participating, but you should know that I am doing this.
> You trick me into responding.
> Knowing will accelerate the process.
>
>
> On Nov 7, 2023, at 3:55 AM, Eric Werner <eric.werner at oarf.org> wrote:
>
> Dear Lou,
>
> The boundary between rationality and hucksterism is vague. LLMs may mimic
> rationality enough to outperform most mathematicians. I think you are
> overemphasizing implementation over function when regarding LLMs. Two
> systems may exhibit functioning rationality yet have very different
> instantiations/implementations. So too with so many other mental states
> and processes.
>
> Best,
>
> Eric
> On 11/7/23 5:57 AM, Louis Kauffman wrote:
>
> Dear Plamen,
> You are hoping for AI language programs that can actually engage in reason.
> They do not yet exist.
> We do not yet have AI in this sense.
> It is the right goal and it can come when there is a proper synthesis of
> the non-publicized formal system handling and theorem proving systems and
> the
> language generation systems. The present language generation systems are
> producing language on the basis of most probable word generation from a big
> data base of human texts. This is not artificial intelligence, but it is
> being huckstered as such, alas. We can do better and we shall do better if
> the world survives.
> Best,
> Lou
>
> On Oct 27, 2023, at 7:40 AM, Dr. Plamen L. Simeonov <
> plamen.l.simeonov at gmail.com> wrote:
>
> Thank you, Pedro, for this smart introduction of a new aspect.
> Particularly, I am convinced that we urgently need AI help, particularly
> in human patent and civil law with its plenty of subfields to achieve true
> justice.
> The current situation in many countries is that law courts are just stuck
> in cases and the many decision loops depend on an obsolete hierarchy and
> freedom of interpretation by smart lawyers and "lawmakers", i.e.
> parliament/congress representatives which does not often mean justice as
> the people at the basis understand it. In my view this is one of the
> reasons why modern societies degrade: the lack of operative justice.
> I know a German professor and inventor who tried to make an AI based
> patent law proof engine. But his invention got stuck in the need for
> unambiguous syntax and semantics of the law LLMs used to be given to the
> engine for binary processing. This "AI law machine" would be a great
> invention, but it would certainly make generations of lawyers and
> politicians unemployed, which I wholeheartedly welcome ;-)
>
> By the way, coming back shortly to my former essay on AI "wisdom" today: I
> think that the best way to avoid and kill tyranny these day is perhaps to
> invent and switch on to a new "own" coded language and ignore all the
> narrative bombarding us with the globalists' transhumanist propaganda. So,
> we can leave them using the conventional English as they wish. So, the more
> people move to this new "Dumbledore" invented coded language, the less
> power the unelected tyrants will have on us. What do you think?
>
> Best,
>
> Plamen
>
>
>
>
> On Fri, Oct 27, 2023 at 2:16 PM Pedro C. Marijuán <
> pedroc.marijuan at gmail.com> wrote:
>
>> Dear List, (I have just seen Plamen's; I could rephrase some of the below
>> for the sake of the argument, but it would become too long. And about the
>> server--Karl-- and also Marcus, yes something is happening, I cannot accede
>> to it either. I will check).
>>
>> Then, regarding the ongoing exchanges on Wisdom, I was reminded of the
>> TURING TEST (from wiki: if a machine can engage in a conversation with a
>> human without being detected as a machine, it has demonstrated human
>> intelligence). The test was applauded or seriously considered decades ago,
>> but now it is just a bygone obsolete item. Any domestic AI system passes
>> the test. In my case I disliked that test when I met it first time (late
>> 70s). I considered it as a symbol of the very superficial "theorizing" in
>> those new fields... so I changed gears and finally focused on "natural
>> intelligence".
>>
>> Regarding wisdom, we take it as a exclusively human quality, and
>> seemingly binary. Either yes or no. Humans have wisdom, machines don't. But
>> like in the case of intelligence, it probably is graded. For the "formal"
>> intelligence, an IQ gradation was easily established time ago, not quite
>> perfect, but it was very widely used everywhere. The, how an IQ of wisdom
>> could be established? Really difficult... it is the ages old divergence
>> between the analytical and the integrative, the reductionist versus the
>> holistic.
>>
>> My take is that around Large Language Models a pretty small but
>> noticeable enough portion of wisdom has been achieved, see for instance
>> from the below quotation. I am lightly cooperating in the AI field
>> "sentiment analysis", and have high hopes that it can contribute to an
>> improved rationalization of human social emotions, the study of which is
>> painfully in disarray ins Psycho and Sociology. No wonder the awful mental
>> state of many people in a number of societies... There is a wonderful
>> quotation from philosopher Ortega y Gasset about that (but unfortunately
>> cannot locate it).
>>
>> All the best--Pedro
>>
>> *Theory of Mind for Multi-Agent Collaboration via Large Language Models*.
>> From Huao Li et al. , at: https://urldefense.com/v3/__https://arxiv.org/abs/2310.10701__;!!D9dNQwwGXtA!SuMLS23azajQT6XPn1UDpa24_QrjxktCSOE4OtQ6JCH-IeRHjZuzmo2vhySzNcR5eUohMwfnsrUhtjwpILz684w$
>> <https://urldefense.com/v3/__https://arxiv.org/abs/2310.10701__;!!D9dNQwwGXtA!WGQRbH1p47y_3QmXG5cnkavkcLaI6dQneyi1TygmW_kNa1lYM_Mf8gzFCzkD_vh6TMhRW5t-xmMIP2ud1gTy45FYyBUR$>
>>
>> "In this study, we assessed the ability of recent large language models
>> (LLMs) to conduct embodied interactions in a team task. Our results
>> demonstrate that LLM-based agents can handle complex multi-agent
>> collaborative tasks at a level comparable with the state-of-the-art
>> reinforcement learning algorithm. *We also observed evidence of emergent
>> collaborative behaviors and high-order Theory of Mind capabilities*
>> among LLM-based agents. These findings confirm the potential intelligence
>> of LLMs in formal reasoning, world knowledge, situation modeling and social
>> interactions. Furthermore, we discussed two systematic failures that limit
>> the performance of LLM-based agents and proposed a prompt-engineering
>> method that *mitigates these failures by incorporating an explicit
>> belief state about world knowledge* into the model input."
>>
>>
>> El 27/10/2023 a las 12:36, Eric Werner escribió:
>>
>> Dear Yixin,
>>
>> As you know from my different responses regarding Wisdom and Meta-AI
>> (Artificial Wisdom) I am of a rather split opinion:
>>
>> On the one hand, the poetic emotional side of me sees the necessary
>> inclusion of an ethics of fairness for all living creatures. I am
>> skeptical, like you, that AI can achieve this consistently. I am worried
>> about the ramifications of using AI systems in a military-governmental
>> decision making process.
>>
>> On the other hand, it may well come about that Meta-AI is possible. Such
>> a system poses questions, creates new problems that it then solves. Such
>> a Meta-AI system could rapidly explore different combinations of explicit
>> and implicit theoretical assumptions. Leading to new theories about nature
>> and the world. It could then propose new experiments that confirm or
>> disconfirm its theory or hypotheses. It could see long range relationships,
>> logical, mathematical in different specialized theories or mental
>> frameworks. Meta-AI is one of the founding cornerstones of General AI. It
>> presupposes that reasoning and not just parroting can be learned in some
>> way.
>>
>> Some more thoughts on Wisdom:
>> Human wisdom is distributed and contradictory
>>
>> - *AI models can contain all of human wisdom *- including conflicting
>> Wisdom
>> - *Conflicting Wisdom:*
>> - One societies Wisdom may be another societies doom
>> - *Realpolitik of human wisdom*
>> - As soon as limited resources, come in we get conflict
>> - *Imagine 10 people *on the land that supports 10 people if they all
>> share what they find among the other 10
>> - If they are greedy, it reduces the population
>> - It depends on if they really need 10 to find the food for 10. If
>> five are sufficient to survive on the same land with less stress, then
>> there’s a temptation to get rid of or disadvange the other five
>> - Increase and search or intelligence algorithms whether a genetic
>> or soft can lead to more resource findings
>> - Sharing knowledge leads to greater distributed, productivity and
>> more can join the community
>> - T*he life and death struggle*
>> - Imagine another group of 10 comes in to the same area that
>> supports only 10. Then we get conflict. They may cooperate but half have to
>> die because of limited resources.
>> - Same holds for university positions
>> - Same holds for a limited resources in well-to-do societies
>> versus less able societies
>> - Taking advantage of one side's ability against the other
>> - *Power Creates Laws to Perpetuate Power *
>> - Speech is regulated, prevent thought and action that may lead to
>> change of the status quo of power
>> - Servants must be servile
>> - Those in power must pretend to be generous to the extent that
>> the servant does not rebel
>> - The good master (wants to be seen as Wise, knowing what is good
>> for the underlings)
>> - The parasite must not kill its host, unless or until it can jump
>> to another host
>> - A parasite of a parasite leads to a hierarchy of parasites
>> - L*imited Resources Disturb the Ideal of Fairness and Absolute
>> Wisdom*
>> - As soon as limited resources come into play the ideal no longer
>> works
>> - The group with more power in the given environment can win the
>> resources
>> - With limited resources, there can be no compromise after a
>> certain point of sharing
>>
>> Thus my ambivalence concerning Wisdom.
>>
>> Best wishes,
>>
>> Eric
>>
>>
>> On 10/25/23 2:12 PM, 钟义信 wrote:
>>
>> Dear Eric,
>>
>> There have many mysteries remained in wisdom. This is one of the reasons
>> that the concept of AI does not involve wisdom and therefore AI is able to
>> solve problem but is unable to define problem.
>>
>> Wisdom is creative in nature but AI is not. It is my belief that humans
>> can build up AI but cannot build up AW (artificial wisdom).
>>
>> Wisdom can only be owned by humans but not by any machines. Do you think
>> so? Please give comments on the point.
>>
>> Best regards,
>>
>> Yixin
>>
>> ----------
>>
>> 该邮件从移动设备发送
>>
>>
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