Or ChatGPT is better in Program Verification (Re: John Sowa is close with RNT)

Hi,
Or ChatGPT is better in Program Verification. Means
the "Fine Tuning" that ChatGPT has to deal with
Queries that include programming language fragments
or tasks, and the generation of programming language
fragements or tasks is practically already better and
expected to improve even more:
- Not an Architecture based on a Symbolic HOL language
   and backend to extract Programming Languages.
- Not an Architecture that only supports some academic
   "pure" Languages like ML, Haskell, Scala, etc..
- Rather an Architecture where one can directly interacts
   in the Programming Languages, similar like it deals with
   Natural Language, Pipe Dream Ontologies are not seen.
- Rather an Architecture that can deal with "impure"
   Languages such as JavaScript, Python, etc.. that are
   imperative and have side effects.
- What else?
Bye
Mild Shock schrieb:

Hi,
 Interestingly, John Sowa is close with RNT to how
ChatGPT works . In his LLMs bashing videos, John Sowa
repeatedly showed brain models in his slides that
 come from Sydney Lamb:
 Relational Network Theory (RNT), also known as
Neurocognitive Linguistics (NCL) and formerly as
Stratificational Linguistics or Cognitive-Stratificational
Linguistics, is a connectionist theoretical framework in
linguistics primarily developed by Sydney Lamb which
aims to integrate theoretical linguistics with neuroanatomy.
https://en.wikipedia.org/wiki/Relational_Network_Theory
 You can ask ChatGPT and ChatGPT will tell you
what parallels it sees between LLM and RNT.
 Bye
 P.S.: Here is what ChatGPT tells me about LLM and RNT
as a summary, but the answer itself was much bigger:
 While there are shared aspects, particularly the
emphasis on relational dynamics, ChatGPT models are
not explicitly designed with RNT principles. Instead,
they indirectly align with RNT through their ability
to encode and use relationships learned from data.
However, GPT’s probabilistic approach and reliance
on large-scale data contrast with the more structured
and theory-driven nature of RNT.
https://chatgpt.com/share/67818fb7-a788-8013-9cfe-93b3972c8114
 I would also put the answer into perspective if one
include RAG. So with Retrieval Augmented Generation
 things look completely different again.
 Mild Shock schrieb:

Hi,
>
 > Subject: An Isabelle Foundation?
 > Date: Fri, 10 Jan 2025 14:16:33 +0000
 > From: Lawrence Paulson via isabelle-dev
 > Some of us have been talking about how to keep
things going after the recent retirement of Tobias and
myself and the withdrawal of resources from Munich.
I've even heard a suggestion that Isabelle would not
be able to survive for much longer.
https://en.wikipedia.org/wiki/Isabelle_%28proof_assistant%29
>
No more money for symbolic AI? LoL
>
Maybe suplanted by Lean (proof assistant) and my
speculation maybe re-orientation to keep up with
Hybrid methods, such as found in ChatGPT.
https://en.wikipedia.org/wiki/Lean_%28proof_assistant%29
>
Bye