Moral: This post is part of a series which will be organized as we proceed. One of the contributing factors will be a collection of essays that was published in a book by a Harvard professor of the history of mathematics. His points resonate for several reasons, not the least of which is that they brought together data and issues from early computing into a reasonable whole so as to describe what we ought to see as important. Two major themes: abstraction and its rise over the past two centuries; computation as the child of mathematics bringing to fore dynamics left out of sight through explicit avoidance. ... What we see now is a very powerful bit of snow-jobbing being done where shallow evidence overwhelms the cognitive system so that the cogitation does not perform as it ought. We are not here to provide solutions; rather, our intent is to bring Kant back into the picture so that his insights are allowed to influence the modern situation.
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We have been on the "AI" theme since the beginnng of this blog back in the 00s. Truth engineering? As we go forward, we will document the history of the idea over the past few decades and include some exposition on the computational aspects.
- See the collection of articles on the theme of taming GenAI/LLM (one instance of several to discuss) using methods related to knowledge modeling. For that matter, what is that in our view? We will focus on "knowledge-based engineering" (KBE) which came out of the engineering camp and was very effective in the commercial/industrial environments in its time. Where is it now? Scattered amongst innumerable offshoots which brought the facilities forward in time. But, we can use a Patent to discuss some of KBE as we were involved with the geometric/logic processing at a support level: Filtering/smoothing data. In terms of this discussion, we will invoke reminders about the history of mathematics up to the current day's conditions.
So, not only have we had the "AI" theme in our solitary work, we have paid attention. And, while many were chasing GenAI/LLM, we have plodded along the path of constructive modes worrying about things that went wrong and never were corrected. Nope. The mode of operation seems to have been to gloat over disruption and damage (pity those who were impacted) and run further along new roads to trash.
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Cynic? Nope. Snark? Not really. Old guy? You got it.
Now, along with this blog, there were others looking a parallel (homologous) issues in other domains of interest. We will tie to those as the posts will provide several services: reminders from the time; some commentary on what was what; further remarks on residues and what might be done. For that last? As said, remnants of past faults abound, some of which were just left on the pile of detritus of the time. Okay, life might be like that; sustainable means require a little more maturity.
In the past two decades, disruption has risen almost to be a motto for dominating the scene. We will forgo discussion of that until later however "stability" and its analogs will get more attention.
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And so, all who might read this, we all know more than we realize. Mostly, the noise of the marketplaces and the traffic circles drown out anything remotely rational beyond parroting. But, that is human. And, after all of the time, Ma Nature says, wake up. This needs discussion.
In our KBE work which led to truth engineering, we learned that people making decisions to guide computers was the way to go. That required education and intution, both of which can be considered knowledge. But, it worked.
Now, we have "prompts" being the rage.Or, "RAG" which reminds me of some jokes from my newspaper period. In other words, two years ago on seeing ChatGPT, I thought, sheesh, we knew better than this and need to bring forward old knowledge so as to tame the beasts and its many cohort systems. KBE came to mind which was left go by managerial decision. But, it split into a million little pieces which have continued to this day. Whereas, the lablel is still there in some cases but is merely oriented toward "template" functioning with no debts or guts, at all.
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People? A focus. We will use the parasympathetic system of humans as an analog along with the other systems, of course. That will all be explained. Right now, here is an image that says a lot. We'll let the reader decide for themselves. But, consider that this system rules the brain (of the intellects) which does not work without the heart and the other pieces.
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Courtesy: Wikipedia |
Granted, we know that there is more to the nervous system. We picked this one due to its easy mapping to the chakra system which model is 1000s of years old which then allows some discussion of consciousness and how it might be supported by our biological selves. What else is there?
We have already mentioned that indirectly through psychether but will defer further discussion until we have laid out the grounding issues for this work. That can best be done, it is our opinion, but venturing further into the messages to be obtained from Descartes' Dream.
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... being edited, until this line disappears ...
Remarks: Modified: 04/30/2025
04/30/2025 --
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