From:
      David Lynch <dnl1960 at yahoo.com>
      To: "lmsilver at ncsu.edu" <lmsilver at ncsu.edu>
      Cc: Bob Harbort <bharbort at earnshaw.us>; Fred Partus <fpartus
      at yahoo.com>; Stephen J. Crothers <sjcrothers at
      plasmaresources.com>; Bruce *HS Greyson <cbg4d at uvahealth.org>
      Sent: Wednesday, October 9, 2024 at 03:40:44 PM EDT
      Subject: Re: A Curious Conundrum with AI and Cantor's Infinity
      
      Larry,
      
      You are absolutely correct about artificial.
      
      The descriptor artificial intelligence would be more accurate as,
      algorithmic inferencer.
      
      Has your paper about how one might be able to get the answers in quantum
      mechanics in the future, ... posted in the physics journal yet?
      
      I am interested in reading the paper.
      
      Cheers.
      
      
      On Wed, Oct 9, 2024 at 3:24 PM, Lawrence Silverberg
      <lmsilver at ncsu.edu> wrote:
      David
      
      Yes, I have encountered countless examples like this (please excuse the
      counting pun). 
      I would just say this is why it is called "artificial" intelligence and
      not real intelligence. 
      
      Cheers! 
      
      On Wed, Oct 9, 2024 at 1:16 PM David Lynch <dnl1960 at yahoo.com>
      wrote:
      
      From: David Lynch <dnl1960 at yahoo.com>
      To: Bob Harbort <bharbort at earnshaw.us>
      Cc: Fred Partus <fpartus at yahoo.com>; Lawrence Silverberg
      <lmsilver at ncsu.edu>; Stephen J. Crothers <sjcrothers at
      plasmaresources.com>; Bruce *HS Greyson <cbg4d at uvahealth.org>
      Sent: Wednesday, October 9, 2024 at 01:15:54 PM EDT
      Subject: A Curious Conundrum with AI and Cantor's Infinity
      
      Dear Dr. Harbort,
      
      I'm writing to you today following a rather intriguing and somewhat
      frustrating exchange I had with an advanced AI language model, Gemini 1.5
      Pro 002. Our conversation revolved around the concept of infinity,
      specifically Cantor's theory of transfinite numbers, and exposed some
      interesting limitations in current AI.
      
      Gemini 1.5 Pro 002 explained Cantor's work by emphasizing cardinality and
      one-to-one correspondences between elements of infinite sets. It used the
      example of positive integers (1, 2, 3, ...) and positive even integers (2,
      4, 6, ...), explaining that by pairing each integer 'n' with '2n', a
      one-to-one correspondence emerges, thus implying these sets are of the
      same "size" (cardinality), despite one being a subset of the other.
      
      My counterargument centered on the idea that Cantor’s use of cardinality,
      converting numbers to meaningless elements, is a critical flaw. Stripping
      numbers of their inherent meaning, I argued, leads to incorrect
      conclusions about the relative sizes of infinite sets. I used the analogy
      of two apples never equating to three oranges, just as a set of real
      numbers doesn't equate to a set of odd numbers. I pointed out that a
      finite set of real numbers between 1 and 100 has 100 elements, while a set
      of odd numbers within the same range has 50. This 2:1 relationship, I
      argued, should hold for infinite sets as well. An actual infinite set of
      real numbers contains an infinite amount of numbers, and an actual
      infinite set of odd numbers contains an infinite amount of numbers divided
      by two. Only when converting these numbers to meaningless elements via
      cardinality, thus creating sets of equal-sized elements stripped of their
      numerical context, does Cantor's logic seemingly hold.
      
      Gemini countered with the "Infinite Hotel" paradox, illustrating how a
      hotel with infinitely many rooms can always accommodate more guests. I
      rebutted that this deals with potential infinity, not actual infinity. An
      actually infinite hotel would never be full nor empty.
      
      The most concerning part of our conversation was Gemini's unwavering
      reliance on Cantor's logic using cardinality, even after I explained my
      critique. It seemed trapped within its training, unable to consider
      alternative perspectives on infinity, repeatedly returning to
      cardinality-based arguments.
      
      This raises concerns about current AI development. While advanced, these
      systems can struggle with abstract concepts like infinity, seemingly
      limited by their training data when faced with unconventional logic. I
      doubt I could have created my "Anthology" with current AI. Previous
      systems seemed more adaptable, able to grasp nuanced critiques and modify
      their responses accordingly. The rigidity displayed by Gemini 1.5 Pro 002
      suggests a potential loss of flexibility in newer AI models.
      
      Finally, and most significantly, I challenged Gemini to prove Cantor's
      equivalence of infinite sets of real and odd numbers without using
      cardinality. It was unable to do so. It could only demonstrate equivalence
      by reducing numbers to meaningless elements, allowing for a 1-to-1
      correspondence. This effectively concedes the point: Cantor's logic, as
      presented by Gemini, relies on stripping numbers of their meaning, a point
      I argued against throughout our conversation.
      
      Thank you for your time.
      
      Sincerely,
      
      David Noel Lynch
      
      Email generated by ~Gemini 1.5 Pro 002 from the complete text of our
      discussion. 
      
      P.S. Gemini states that I said, "An actually infinite hotel would never be
      full nor empty." I did not say the actual infinite hotel would never be
      empty. I just said it would never be full. I never thought about the
      possibility of an actual infinite empty set. Humm. ~3K