[Fis] Fis Digest, Vol 105, Issue 12 Human Wisdom vs Meta-Intelligence
Eric Werner
eric.werner at oarf.org
Tue Nov 7 10:55:54 CET 2023
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!RuCzLjIVLrfA-lym27y32ZGCsaGitgraPasaZBC6Hb1e20Qz1K36tziCQjhi8GskZ54_k6bqwBtpqb5-5MJVCuQ$
>> <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:*
>>> o One societies Wisdom may be another societies doom
>>> * *Realpolitik of human wisdom*
>>> o 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
>>> o If they are greedy, it reduces the population
>>> o 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
>>> o Increase and search or intelligence algorithms whether a
>>> genetic or soft can lead to more resource findings
>>> o Sharing knowledge leads to greater distributed,
>>> productivity and more can join the community
>>> * T*he life and death struggle*
>>> o 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.
>>> o Same holds for university positions
>>> o Same holds for a limited resources in well-to-do
>>> societies versus less able societies
>>> o Taking advantage of one side's ability against the other
>>> * *Power Creates Laws to Perpetuate Power *
>>> o Speech is regulated, prevent thought and action that may
>>> lead to change of the status quo of power
>>> o Servants must be servile
>>> o Those in power must pretend to be generous to the extent
>>> that the servant does not rebel
>>> o The good master (wants to be seen as Wise, knowing what
>>> is good for the underlings)
>>> o The parasite must not kill its host, unless or until it
>>> can jump to another host
>>> o A parasite of a parasite leads to a hierarchy of parasites
>>> * L*imited Resources Disturb the Ideal of Fairness and
>>> Absolute Wisdom*
>>> o As soon as limited resources come into play the ideal no
>>> longer works
>>> o The group with more power in the given environment can
>>> win the resources
>>> o 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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