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Re: Taxon (TBox) / Affirm (ABox) was a thing in the 90s? (Was: T-theory A-theory theatheory)

Started byRoss Finlayson <ross.a.finlayson@gmail.com>
First post2025-11-08 18:21 -0800
Last post2025-11-13 18:07 +0100
Articles 3 — 2 participants

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  Re: Taxon (TBox) / Affirm (ABox) was a thing in the 90s? (Was: T-theory A-theory theatheory) Ross Finlayson <ross.a.finlayson@gmail.com> - 2025-11-08 18:21 -0800
    Could the AI Persona evolve over time? [With Local AI?] (Was: T-theory A-theory theatheory) Mild Shock <janburse@fastmail.fm> - 2025-11-13 18:00 +0100
      Boris the Loris and Nazi-Retard Julio (Was: Could the AI Persona evolve over time? [With Local AI?]) Mild Shock <janburse@fastmail.fm> - 2025-11-13 18:07 +0100

#667179 — Re: Taxon (TBox) / Affirm (ABox) was a thing in the 90s? (Was: T-theory A-theory theatheory)

FromRoss Finlayson <ross.a.finlayson@gmail.com>
Date2025-11-08 18:21 -0800
SubjectRe: Taxon (TBox) / Affirm (ABox) was a thing in the 90s? (Was: T-theory A-theory theatheory)
Message-ID<ybCdnaPnPLo0Z5L0nZ2dnZfqnPv_fwAA@giganews.com>
On 11/08/2025 01:29 PM, Mild Shock wrote:
> Hi,
>
> I really wonder what happened with:
>
> Acquisition, Representation and Compilation
>   of Technical Knowledge - DFKI
> M. M. Richter et al. - September 1991
> https://publikationen.sulb.uni-saarland.de/bitstream/20.500.11880/24986/1/RR_91_27.pdf
>
>
> A Relational/Functional Language and Its
>   Compilation into the WAM - SEKI
> Harold Boley - April 1990
> https://publikationen.sulb.uni-saarland.de/bitstream/20.500.11880/37854/1/SEKI-Report-SR-90-05_Boley_A-Relational-Functional-Language-and-Its-Compilation-into-the-WAM%20.pdf
>
>
> Did the Extended WAM have Arrow Functions?
> What does OpenAIs GPT Builder do?
>
> Bye

Your dependence on quasi-modal logic has made you
an addict and easily fooled.

See rule one / last wins


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#667262 — Could the AI Persona evolve over time? [With Local AI?] (Was: T-theory A-theory theatheory)

FromMild Shock <janburse@fastmail.fm>
Date2025-11-13 18:00 +0100
SubjectCould the AI Persona evolve over time? [With Local AI?] (Was: T-theory A-theory theatheory)
Message-ID<10f52ra$dm4a$1@solani.org>
In reply to#667179
Hi,

With RAG it could react on news. RAG (Retrieval-
Augmented Generation) and other techniques can
make a local AI evolve dynamically — both in knowledge

and personality. Lets say I put such a AI Persona in
a News Group loop. I could feedback the posts there,
to make it also evolve. One can collect community

reactions (upvotes, replies, sentiment). Or apply automatic
evaluation — e.g., sentiment analysis or engagement
score. This becomes your fitness function.

You can even run multiple personas in the same loop
Different viewpoints (e.g., “optimist”, “skeptic”,
“data scientist”) They interact and debate posts.

This is ideal for dead open source projects, such as
SWI-Prolog, to pretend user participation, very important
in our new marketing world that is totally

engagement focus. The quality(*) of content doesn't count.

LoL

Bye

(*) Same for research paper mills. BTW, ChatGPT suggests
me the following tech stack:

LLM: Ollama (LLaMA 3, Mistral, Gemma, etc.)
LangChain / LlamaIndex: context + memory
ChromaDB / SQLite: memory store
Feedparser / API client: ingest news or group posts
Transformers / VADER: sentiment scoring
Simple scheduler or cron job: to run the loop daily

> Hi,
> 
> There are different ways to make an AI Persona.
> For example Twitter aka X, has a grok account.
> But grok is not trimmed towards a particular
> 
> profile, maybe an alter ego of Elon Musk was
> speculated. What could be interesting would be
> to go towards character.ai :
> 
> "Character.ai was established in November 2021.
> The company's co-founders, Noam Shazeer and
> Daniel de Freitas, were both engineers from
> Google. They both worked on AI-related projects:
> Shazeer was a lead author on a paper that
> Business Insider reported in April 2023 "has
> been widely cited as key to today's chatbots",
> and Freitas was the lead designer of an
> experimental AI at Google initially called Meena,
> which later became known as LaMDA.
> https://en.wikipedia.org/wiki/Character.ai
> 
> Maybe this can be even done with Local AI. By for
> example populating a context. Or creating a kind
> of LangChain memory. ChatGPT calls it persistent context.
> 
> So yes you could "spam" an AI Archimedes Plutonium
> probably from your desktop with an AI Laptop, maybe
> already in 2025, or later in 2026.
> 
> bye

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#667263 — Boris the Loris and Nazi-Retard Julio (Was: Could the AI Persona evolve over time? [With Local AI?])

FromMild Shock <janburse@fastmail.fm>
Date2025-11-13 18:07 +0100
SubjectBoris the Loris and Nazi-Retard Julio (Was: Could the AI Persona evolve over time? [With Local AI?])
Message-ID<10f5394$dm4a$3@solani.org>
In reply to#667262
Hi,

My favorite AI personas would be:

- Boris the Loris
   Agent provocateur that keeps the quality
   of posts low, only dumb open source consumers
   allowed, no Fuzzy Logic, etc..

- Nazi-Retard Julio
   Agent provocateur that pretends to know
   some subject, but doesn't know it at all,
   this is to compensate for the dump open source
   consumers, that populate the group now.

Bye

Mild Shock schrieb:
> Hi,
> 
> With RAG it could react on news. RAG (Retrieval-
> Augmented Generation) and other techniques can
> make a local AI evolve dynamically — both in knowledge
> 
> and personality. Lets say I put such a AI Persona in
> a News Group loop. I could feedback the posts there,
> to make it also evolve. One can collect community
> 
> reactions (upvotes, replies, sentiment). Or apply automatic
> evaluation — e.g., sentiment analysis or engagement
> score. This becomes your fitness function.
> 
> You can even run multiple personas in the same loop
> Different viewpoints (e.g., “optimist”, “skeptic”,
> “data scientist”) They interact and debate posts.
> 
> This is ideal for dead open source projects, such as
> SWI-Prolog, to pretend user participation, very important
> in our new marketing world that is totally
> 
> engagement focus. The quality(*) of content doesn't count.
> 
> LoL
> 
> Bye
> 
> (*) Same for research paper mills. BTW, ChatGPT suggests
> me the following tech stack:
> 
> LLM: Ollama (LLaMA 3, Mistral, Gemma, etc.)
> LangChain / LlamaIndex: context + memory
> ChromaDB / SQLite: memory store
> Feedparser / API client: ingest news or group posts
> Transformers / VADER: sentiment scoring
> Simple scheduler or cron job: to run the loop daily
> 
>> Hi,
>>
>> There are different ways to make an AI Persona.
>> For example Twitter aka X, has a grok account.
>> But grok is not trimmed towards a particular
>>
>> profile, maybe an alter ego of Elon Musk was
>> speculated. What could be interesting would be
>> to go towards character.ai :
>>
>> "Character.ai was established in November 2021.
>> The company's co-founders, Noam Shazeer and
>> Daniel de Freitas, were both engineers from
>> Google. They both worked on AI-related projects:
>> Shazeer was a lead author on a paper that
>> Business Insider reported in April 2023 "has
>> been widely cited as key to today's chatbots",
>> and Freitas was the lead designer of an
>> experimental AI at Google initially called Meena,
>> which later became known as LaMDA.
>> https://en.wikipedia.org/wiki/Character.ai
>>
>> Maybe this can be even done with Local AI. By for
>> example populating a context. Or creating a kind
>> of LangChain memory. ChatGPT calls it persistent context.
>>
>> So yes you could "spam" an AI Archimedes Plutonium
>> probably from your desktop with an AI Laptop, maybe
>> already in 2025, or later in 2026.
>>
>> bye
> 

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