Mike, list

I fully agree with you. 

AI , to my understanding, operates within the inductive process [Secondness]. 
In this manner, it can outperform the human inductive capacity simply because 
it doesn’t operate as ONE individual but as ’the whole population’..and thus, 
has immediate access to all [recorded] data.

It operates within the deductive process [ Thirdness] where it can generalize 
from this inductive data.

But- I strongly doubt if it has the capacities for abductive generation [ 
Firstness] of entirely new forms or concepts.

I’d compare the AI processes to the most basic units of matter in the universe 
- atoms and molecules. Are they capable of abductive processes [ Firstness]? 
Can an entirely novel atom or chemical molecule be formed? I doubt it - our 
universe could not operate with such instability.

I think we only get abduction [Firstness, ie,freedom, randomness] when matter 
operates as ‘life’, Here, in particular the more complex life forms - can 
operate within novelty, and engage in constructive adaptation and evolution, to 
enable more complex energy processing - but rest within a foundation of 
stability [3ns and 2ns]. . 

Edwina

> On Dec 17, 2024, at 8:52 PM, Mike Bergman <[email protected]> wrote:
> 
> Hi Gary,
> 
> This is a topic near and dear to me, and one I am very actively investigating 
> (and using) personally (mostly with ChatGPT 4-o1, but also the latest version 
> of Grok). My first observation, granted based on my sample of one, is that 
> abductive reasoning in a Peircean sense is lacking with current LLMs (large 
> language models), as is true for all general ML or AI approaches. Machine 
> learning and deep learning have been mostly an inductive process IMO. A major 
> gap I have seen for quite some time has been the lack of abductive reasoning 
> in most ML and AI activities of recent vintage. 
> 
> This assertion is most evident in the lack of "new" hypothesis generation by 
> these systems, the critical discriminator that you correctly point out from 
> Peirce. One can prompt these new chat AIs with new hypotheses, and in that 
> form, they are very helpful and useful. It is for these reasons that I tend 
> to treat current chat AIs as dedicated research assistants: able to provide 
> very useful background legwork, including some answers that stimulate further 
> questions and thoughts, often in a rapid fire give-and-take manner, but ones 
> that are not creative in and of themselves aside from making some non-evident 
> connections. 
> 
> I believe that better matching of current chat AIs with Peirce's thinking 
> (esp abductive reasoning as he defined) is a particularly rich vein for next 
> generation stuff. Lastly, my own personal view is that the current state of 
> the art is not "dangerous", but we are also seeing very rapid increases of 
> what Ilya Sutskever <https://en.wikipedia.org/wiki/Ilya_Sutskever> calls 
> "superintelligence", the speed of which is pretty breathtaking. We may be 
> close to tapping out on this current phase with most Internet content already 
> captured for training, but like with LLMs, there are certainly new 
> innovations not yet foreseen that may continue to maintain this Moore's law 
> <https://en.wikipedia.org/wiki/Moore%27s_law>-like pace of improvements.
> 
> Best, Mike
> 
> On 12/17/2024 6:00 PM, Gary Richmond wrote:
>> 
>> List,
>> 
>> In a brief article, "How Does A.I. Think? Here’s One Theory" in the New York 
>> Times today, Peter Coy, after noting that "Computer scientists are 
>> continually surprised by the creativity displayed by new generations of 
>> A.I.," comments  on one hypothesis that might help explain that 
>> 'creativity', namely, that AI is using abduction in its machine reasoning.  
>> He writes:
>> 
>> One hypothesis for how large language models such as o1 think is that they 
>> use what logicians call abduction, or abductive reasoning. Deduction is 
>> reasoning from general laws to specific conclusions. Induction is the 
>> opposite, reasoning from the specific to the general.
>> 
>> Abduction isn’t as well known, but it’s common in daily life, not to mention 
>> possibly inside A.I. It’s inferring the most likely explanation for a given 
>> observation. Unlike deduction, which is a straightforward procedure, and 
>> induction, which can be purely statistical, abduction requires creativity.
>> 
>> The planet Neptune was discovered through abductive reasoning, when two 
>> astronomers independently hypothesized that its existence was the most 
>> likely explanation for perturbations in the orbit of its inner neighbor, 
>> Uranus. Abduction is also the thought process jurors often use when they 
>> decide if a defendant is guilty beyond a reasonable doubt.
>> 
>> Yet Peirce argues in the 1903 Lectures on Pragmatism that only abduction 
>> "introduces any new idea" into a scientific inquiry:
>> 
>> " Abduction is the process of forming an explanatory hypothesis. It is the 
>> only logical operation which introduces any new idea; for induction does 
>> nothing but determine a value, and deduction merely evolves the necessary 
>> consequences of a pure hypothesis."  
>> 
>> I had always thought of abduction as the unique domain of the individual 
>> scientist, the creative genius (say, Newton or Einstein) who, fully versed 
>> in the most important relevant findings in his field, retroductively 
>> connects those pieces of scientific information to posit a testable 
>> hypothesis concerning an unresolved question in science.
>> 
>> But it makes sense that an AI program employing large data bases might 
>> indeed be able to 'scan' those huge, multitudinous bases, connect the 
>> salient information, and posit an hypothesis (or some other abductive idea).
>> 
>> Any thoughts on this? For example: Is it potentially a valuable feature and 
>> power of AI and, thus, for us (the use of AI in medical research would tend 
>> to support this view)? Is it a potential danger to us (some AI programs have 
>> been seen to lie, to 'hide' some findings, etc.; might this get out of 
>> control)? If AI can create testable hypotheses, is the role of the 
>> 'creative' scientist jeopardized? 
>> 
>> Best,'
>> 
>> Gary R
>> 
>> 
>> 
>> 
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> -- 
> __________________________________________
> 
> Michael K. Bergman
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> http://mkbergman.com <http://mkbergman.com/>
> http://www.linkedin.com/in/mkbergman
> __________________________________________ 
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