Status, 2026 start

This blog represents my work in Truth Engineering over the years. As such, it provides a history of the thought process over that timeframe and also a collection of material that relates to the these. 

This post brings together links to the disparate depositories that have been used over the years for this project. For each item, there is a little explanation about the contents. 

To begin, though, we have a list of articles from the past three years, mostly related to the emergence of GenAI/LLM which has been a central theme for three years now. 

Note: An example of a principal focus with respect to research and analysis: Portal to truth. And, a prime interest is "Bespoke software" and blogging about such. 

Overviews and summaries: 

• Summary of writings - updated in April of 2025, this PDF gives some overview of the Writings that I have done since retirement. To be updated in 2026. 
• Linkedin - articles and posts related to truth engineering and kbe within the modern contexts that we find ourselves adrift due to the map/territory issues of AI/ML confounding and conflating things. 
• AJSwtlk.com - this was our first start using the web for truth engineering work. The first entry in the "What's New" was in Sept of 2010. 
• Papers - this repository deals with my work at the Knowledge Systems Center of Sperry Univac. My later work was a Boeing in the area of KBE (knowledge-based) engineering where the notions for truth engineering arose due to describable events. At the same time of that KBE work, there were projects elsewhere to which I can refer, such as one that was done at Wright-Patterson Air Force base in Ohio and has been described in a non-declassified document. As well, there links to articles at Linkedin. See above link. 
• Quora/Psychether - psychether goes with truth engineering as does knowledge-based engineering. The former is the overarching set of notions; the latter is an example and demonstration of things related to truth engineering but computerized for proper analysis and judgmental decisions. 
• ...

Blogs and associated material:

Note: These blogs are a data repository for a longitudinal of the U.S. with regard to technology, business, science, and  general knowledge-related disciplines that come into play in coping with the modern world.

• TruthEng - for truth engineering, a background does exist. Plus, there are papers on current matters and how they relate. 
• This blog - first post, 24 Jul 2007. 
• 7'oops7 - first post that we did was 31 Aug 2007. This blog was motivated by 8 July 2007, or 7/8/07, or, ... The early posts had a particular theme, but the topic got to be more general as the 787 came to fruition. 
• Fedaerated - started in Aug of 2009 for the explicit purpose to focus on the world of busyness and its gaming in areas such as financial engineering which has no science as a basis thereby somewhat is a misnomer. 
• TGSoc Tech - since May 2014, the posts are about the theme that relates content and configuration which then brings in issues of an observer's view and the judgmental differences that pertain to such. Not unlike our concerns for relativity and the age of uncertainty that comes from advancements in computational systems. 
• ...

Remarks: Modified: 01/11/2026

01/10/2026 --  Tied in TruthEng (WordPress) and Quora. 

Restart, ICAD focus

Moral: ICAD, KBE, and truth engineering

The last post presented responses by GenAI/LLM types to my writings on KBE. Not bad in terms of regurgitation. What we are dealing with are mirrors and halls of mirrors. We will get there and explain this more thoroughly. 

Before we get to that point, I need to bring forward information obtained from work in the '90s and the 2000s (as in, pre-2010) that applies directly to knowledge systems helping people who are heavily trained and very much mathematically astute. That's the KBE part. 

Tonight, I was reading on constraint satisfaction which was a huge part of the object-oriented modeling of ICAD which I used for 15 years to solve problems of note. Where is this known? In the industrial / commercial world, we did not get lots of air time. You solved a problem and moved on. KBE was in that situation, for the most part.

But, poking around, I have found sufficient material to pull together an explanation for why KBE was, and is, important. Of note, my view is from the role of engineering support (where the mathematicians hang out) as I am not a degreed engineer. But, I was there, working on teams, observing, and have studied the whole of the basis for that phenomenon for two decades now. Of late, I have been discussing matters with folks of that training. 

Let's start with some links. These are related to the theme of ICAD, KBE, and truth engineering from several levels and angles, including the top-down issues plus plenty of technical material. Some of these are articles are recently recoverd (use of the "wayback" approach, for instance). 

• Papers (technology, computing, ...) - The Thomas Gardner Society, Inc. is supporting this work as important to the future. Some papers are listed at this site. 
• Knowledge Based Engineering (KBE): Update - Contemporary look at the issues seen during a major project that successfully did the deed of digital definition on a huge scale.  
  
• Geometric/Knowledge Modeling Challenges - Anticipating the "twin" that has been brought forth digitally. 
  
• Knowledge-based Engineering and the ICAD System - 
• Practical Issues of AI - From a 1994 look at the issues, after a major accomplishment was seen. 

With regard to ICAD, we see this from 2001. 

"For example, at Airbus UK, the design of Wing spars was reduced from 480 man weeks to 12 - a 97.5% lead-time reduction. Similarly, Jaguar Cars saw a 94% lead-time reduction in XK8 body panel development, and their collaborative headlamp program was reduced from 8 weeks to only 2 days."

And, this refers to activity that was precision work within the situation of complicated processes. Not mindless pretend by misusing mathemtical computing, as we seem to be witnessing. 

CAD to ICAD

This is an example of KBE (used another tool) from the military side of things. 

• Scenario-Based Affordability Assessment Tool - From Wright-Patterson, this is an indication of the power of KBE. Glueware was one major facility which helped handle the complexity of different types of representation needed to handle real world dynamics. 

Auditing, in the world? The firms that head this up are bean-counting types. We need real engineering oversight. KBE assists in that. And, engineers need to drive the unfoldment as well as maintain the motivation. On the other hand, we support folks can add to the dialog from our prespective. 

--- Note, on the coming series ---

I will start with a Patent, discuss its approach and motivations, and then lean toward the long history of linear methods as we saw come forth sufficiently to be exploited, wrongly, by machine learning. Tsk, guys. Let's go back to the drawing board, with the mathematicians in tow, and look at a history of decisions with ramifications which are obvious. Along with the technical stuff, we will look at the cultural (psychological) situations that influenced the decisions. All of this is due to several past accomplishments getting little press at the time, yet, in some cases, lessons learned then are very much contributing to success today (which has continued over the years). 

Technically, we will look at Lagrange and Hamilton and contemporaries. That is to tie the work desired by the biologists to that of operations research and its mathematics as being important to knowledge handling while at the same time bringing in the true "artificial intelligence" focus as it motivated search for proper, and mature, means. 

Remarks: Modified: 10/24/2025

10/24/2025 --  

KBE, What is it?

Moral: Brief intro to KBE. A start, thereof. 

GenAI/LLM has lessons to learn beyond being silly and gluttonous. How can we derive these without ruining the planet? 

• KBE, continued         draft article on Linkedin 

These are the two reviews (account at the site may be required)

• Courtesy of academia[.]org -- version, Jan 2020
• Courtesy of academia[.]org -- version, Apr 2025

Remarks: Modified: 10/24/2025

10/24/2025 -- Changed "plante" to "planet". Must admit, had to stop and think through the situation. Turns out to be a simple typo. 

Neologism imperative

Moral: Long ago, I wrote that "Facebook was a metaphor" on several occasions, many times alluding to the various meanings and their universes. Well, we can take "full stack" which came to be in the web-age. Humans know. Too, they know goals. This series is about that, in part. 

---

So, I have been doing truth engineering for a long time. Would you believe, over my rational life? The computer brought new dynamics as I endured dissonance with people and their models. Mental (and spiritual) types (wtf, from an early age). 

Academia? I am on the record as noting the descent of these folks. Take Harvard. High expectations from the time of Winthrop on down. Then, they went through the historical evolution of the U.S. Somewhere down the pike, they got money from a Loyalist (we're at the 250th of the U.S. Revolution, the early stages of which happened in April - Lexington/Concord - for US students, part of what they learn). That money was used to get away from their minister, as in churchman, focus. Engineering for one thing was introduced: Physics Department (their page references the Count; what is engineering? applied physics?).  

BTW MIT, you didn't exist yet. But, in any case, are we seeing ramifications of secularism in the case of Harvard? In general, engineering's scoffing at the humanities? How is that going? Lots to discuss.

But we'll let this discussion drop, for now, as we start a discussion to inform other discussions in the context of what is needed to tame GenAI/LLM, in particular, and computing/technology, in general.

So, here goes: Psycho | Socio | Logico | Matho.

Davis, extrordinaire

Three of those might be recognizable, somewhat. The one of note is "matho" which goes along with lots and lots of discussion since 1900 or so. But, these form an order: individual; group; reason; cope. There is a lot that can be said about the different orders. One motivation for this one might map back to Jung's thoughts a century ago about the maturity of a person. 

But, the prime intent is we all start alone in our awareness. Others are not differentiated from ourselves until a bit of development happens. In terms of time, we are at the crux of the early grades of school (say, like the message of "everything that we need to know, we learn in kindergarten" - paraphrase). So, psycho is of the individual even though it relates to socio, sometimes to the extent of there being no real separation. Life is so clever in that way, throwing us curves. 

Reason? Notice, Descartes figures heavily in this discussion. Some think that he layed out the proper view and use of such. However, we can also go back to the former times, including the contributions of Islam and those of the Greeks. Again, in this case, the order is being set by Jung who was repelled by algebra. Let's think of that. We know this from this talk with the author of the collective of Jung's reminiscing. The book is marvelous and worth some contemplative reading. 

Why algebra? Well, looking in another direction, Eistein bewailed the influence of the mathematicians on his thinking. Oh yes. I brought in Physics above as this is an important thing to consider. And, matho is needed in the mix. You see, Davis who I will quote wrote that computiing is the child of mathtmatics. We concur especially as we look at the current situation. 

Mind you, we will plumb all of these spaces in depth in the proper sense where GenAI/LLM cannot follow, yet it can serve as secretary, let's say. Or recorder of that which has to be brought back in a believable form. 

After, I might add, we get stability, maturity, verifiability and a lot more as expected property of the beasts of computing. And, from now on, I will quit using buckets-of'-bits except for special usager wher we denote that which was lost. You see, the modern way is too much the victim of unnecessary distribution and optimization somewhat motivated by seeing "matho" as dealing with space and quantity. 

Okay, Kant? He will be important. GenAI/LLM can't Kant. Most people can. That is one point: we can lift across levels such that judgment is preserved. Wait, that's conservative? Yep. 

---

We are early in the stage of this exploration of the situation and its properties so as to bring in causal relations, at some point, within a new framework. Computing is mostly of applied mathematics and physics as we see in the disciplines of engineering. And, computing has put its tenacles everywhere. Marvels abound recently, miraculously in terms of who is doing the observing. Awareness and the necessary judgments? 

And, consciousness? Right now, we can explain this. But that's not on the table yet. We have to set up the discourse in a mature manner. That is computable. Ah? Gotcha? I said that the "discourse" can be handled; there are many other ways where we will use new methods (some of which might be via other modes of computing). 

Operationally, all aware adults know of their insights even if they cannot put this into words. Actually, they know more than they give themselves credit for. And, others' opinions of the insights of any individual? Yes, important topic. 

.. being edited until this line disappears ... 

Remarks: Modified: 05/03/2025

05/03/2025 --

Parasympathetic choices

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. 

--- 

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. 

---

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. 

---

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. 

---

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. 

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. 

---

... being edited, until this line disappears ... 

 Remarks: Modified: 04/30/2025

04/30/2025 --

Descartes' Dream

 Oh joy! I bought this book over three decades ago and read it briefly when I purchased the thing. There are reasons that I was attracted to the book. As well, anyone who took some semblance of a western civilization course would have run into Descartes. Then, of course, mathematicians know of the man. 

And, in terms of residue and remainings, philosophers have the guy entirely wrong. That has been my opinion for decades. But, was I right? Well, all of this time, there was nothing to make me think otherwise. 

That is, until I reread the book during the past few weeks. And, that reading was at a desk marking the book as a student might while venturing off to the reference material, especially in regard to the history of mathematics. And so, now being through the book and wishing to build a case for both Descartes and Vico (PJ Davis and his co-author use this guy as a foil very well) there will be a series of posts. 

First though, the joy mentioned above. Here is the book, courtesy of Google. As these posts unfold, I will be referencing this Google offering and marking up selected images from the book. The exposition will not follow the Contents but will bounce around by theme.  

• Descartes' Dream - PJ Davis, R Hersh, 1986 -- Page forward, please, and look at the Contents. My interest is the loss of meaning that we see now with GenAI on the landscape muddying the waters as well as consuming unreasonable amounts of resources, such as energy. 
  

I must add two more links before going further as this will be split into many posts with sidetracks. 

• Goodreads - I like this site but do not want an account nor do I use Apple (did in the beginning - but I am a developer believing in open methods) or Amazon (never spent time on the site; probably am the oldest person alive who never bought Amazon, do not intend to). So, this post is a 10 for the book (100?) out of 5 ;>). 
• Cambridge - This is obligatory as most of the brainy who came here as colonists were of that ilk and not of Oxford. That's an issue that we can look at in detail given the subject of these posts. So, their post is about the dreams of Descartes that people want to hear about.  

Okay, the motivation. 

• Truth engineering - This link is to my collection of posts and articles that deal with subject of interest to discussions on intelligence, AI, machine learning and such from several levels due to my roles. I am a mathematical economist who worked in the role of engineering support. And, in particular, it was a long time effort at supporting advanced computational systems which included numeric modes (say, like Nvidia is pushing), knowledge based engineering (which would tame machine learning - and did back in the day), and general expert systems where I was immersed in Lisp via the machines and systems built upon them plus doing all of this in the context of real work (taming numerics, geometrically) that had measurable and highly effective rewards.  
• Immanuel Kant (1704- 1804) - Now, of course, Kant came later but did overlap the life of Vico. We will look at that. For a few years now, I have been arguing that Kant was overlooked. His Prolegomena and Logic (some posts will do a review of this work with respect to its significance) are very much apropos to what we need to think about. Hint: Kant was superb in representing an insight that bridged the dynamics with which PJ&R deal; as such, and given his time, his conclusions can be taken as universal; that is, of course, with parallels being discussed with respect to time (+/- one generation) and space (oh yes, the world as we can now see it given the lenses possible with computational assists - some have been explored); we will entertain others and weigh in on non-euclidean nonsense. 
• Dreams - This phenomenon has significances that are known widely yet are scoffed at by the mindset described in this book with respect to its long evolution. Okay? 

There are other motivations that will be marked as such as the discussion unfolds. Simultaneously with these posts, there will be summaries on Linkedin and Quora. More detail will be provided as we get the first of these links in place 

---

PJ&R (henceforth, the reference to the book) start off with the dreams in order to grab attention. It got mine, but I was disappointed as I can lay out tales much deeper than they allow. Having said that, I know the PJ is a first-rate mathematician (Harvard guy - his Math Genealogy profile). He proved that time and again in this work. One of his popular ones from earlier times dealt with explaining the mathematical experience. 

And, in this book, PJ&R do a very good job of grounding examples (see end of this post - vagus) upon experience which includes thinking as well as the practical aspects brought by the likes of Brouwer with intuitionistic, constructistic ways.  

But, let's look at the two key guys starting with a disclosure: I will for the most part provide the birth and death year for people referenced. See Kant above. Also, given my situation as of the U.S. and researcher for the Thomas Gardner Society, Inc. which deals with the colony of Massachusetts and its role in the birth and growth of the U.S., I will related things across the waters to activities here (U.S.). 

Example, of late, we are dealing with Bosworth and its relationship to our studies. That is when the Tudor reign started which ended with Elizabeth (Origins and motivations) who was several generations after Bosworth. However, the colonies, 100 years after Henry VIII, created an offshoot of the Ancient & Honorble Artillery Company of Massachusetts. Henry's group and this New England group still exist and are affiliated. There are many more parallels to explore (heard of CS Peirce or JW Gibbs of thermodynamics fame; there are many more). 

• René Descartes (1596-1650) - We all know of him through his work. As a young man, I liked it when I ran into his "Methods" thinking. But, I had a geometric bent anyway and ended up dealing with modeling (on the digital twin side of things) with regard to the guts of the matter (not being an engineer; but this was more fun than the dismal stuff of economics; besides most engineers would not venture into the realms that I saw; which, btw way as a message to to GenAI/LLM folks, is very much pertinent to pulling you guys out of the holes that you dug for yourselves and us). Cartesian space? Yeap, listen up, non-euclidean might be fun; but, bringing in Plato and Vico, we will address that with a modern take, okay?). 
• Giambattista Vico (1668-1744) - He had several influences but had a focus on humans and their lot and ways. As such, PJ&R were right in using him as the foil to discuss ins and outs of the Descartesian issues. We look forward to bringing in Baruch Spinoza (1632-1677) who was slightly older than Vico. 

PJ&R gave their work a subtitle: The World According to Mathematics. An image of both gentleman is provided in the Preface. Then, the first section, chapters deal with the dreams, their aftermath, and then some comments on the historical contexts that bring Descartes' ideas into scope. As one reads this material, references to computing would be before 1986 which actually is a good thing. 

Of late, many of the older people have been reminiscing about their experiences. As with any human activity, there was lots of activity with unlimited dreams and unbounded motivations. Yet, those years had glorious results some of which deals with the underpinnings of modern computing. Let's point to a couple of examples from Sperry Univac who was #2 to IBM, but there were more companies (say, those of Cray who did one of the first supercomputers): Adventures in Truth  Engineering; Women behind Eniac. There are more examples, but these two set the tone that our use of recent events (as historical analogs) is based upon real experiences (and would be loved by Kant). 

The second section of PJ&R's book? The Social Tyranny of Numbers. Wow, that is so apropos to the current situation. Remember, 1986 was when I was hotly involved with lots of knowledge systems in many different domains. Eventually, that focus reduced to digital product development (of major physical systems which had requirements of precision and meeting stringent constraints). 

My first reaction on seeing GenAI/LLM two-plus years ago was that we could use knowledge modeling to remove some of the issues. However, the other side of the coin was that the "omni" drive of training which came from the motivations that were not mature created a mess. And, crap built into a system cannot be removed (think GIGO, modernized). Quality is built into a product through a quality focus throughout the processes involved. Six sigma is an example but has problems, too. 

 

PJ&R's book addresses these. We will bring out their arguments and tune them to the current situation. This post is an introduction and overview. Some post will be more top-down for obvious reasons. We will have posts that are technically tuned. How deep we go depends upon several things? But, "deep" is relative. Flip it and one has a broadened shallow piece of work. 

-----

But, here is an imperative (thank Kant). After twenty years of assessing truth and its issues from many angles which are touched upon in this blog and others, we concluded that, with respect to cognition which is what I had as a focus, a very proper frame would be at the level of theorectical chemistry. And, along that line, people offer the best of frameworks for study. And, then we can get into the knowledge universe of medicine and much more. Albeit, right now, ponder your vagus system which is depicted with this graphic. 

For all of us, this system drives our life. Yet, we went eons without the types of insight into the dynamics. So, one set of positions were set by those associated with Descartes versus those of the Vico persuasion. And, mathematics? Does not like psychology? Well, this system tells us a lot, including possible motivations across eons, again, ending up with the likes of Jung and more. Gosh, we have to end this but will have common themes such as this one. 

Last word? "Grounding?? So popular to certain philsophers and electricians? We will demonstrate that this provides a grounding which robotics can only dream of. And, cognitive processes residing solely upon heated circuits throwing out buckets of bits? Come on. 

---

Afterword. Did diving deeply into the work change my mind? Nope. Harvard is amiss, several ways. The mathematics of destruction was honed in that environment. But then, lots of cultures were at fault. 

This book getting more attenion might be the salvation of Harvard (one of my interests). Perhaps, we are talking more of a "redemption" which is long overdue. 

--

Follow our series as we expand concurrently along the themes of meaning in the senses of man/machine and of being: Taming GenAI/LLM.

Remarks: Modified: 04/25/2025

04/25/2025 -- Added link for PJD's profile at Math Genealogy. 

Max Planck

We're doing something different this time. Usually, we talk write on ideas; today, we're mentioning a few people. But, the focus is Max Planck since one of his books is crucial to defining and testing truth engineering. 

He was the Nobel Prize Awardee for 1918: Max Karl Ernst Ludwig Planck. This pointer goes to his profile on the Nobel site where the tabs are: Facts; Biographical; Nobel Lecture; Banquet speech; Nominations; Documentary; Photo gallery; Other resources. They have been updating the records for all Awardees, from the beginning which was in 1901. 

We intend to use this work for a review of the history of science in terms of decisions and their management using the Nobel choices to assess the cultural drifts. This year's prizes for Physics, Chemistry and Medicine got my attention, as I have been doing advanced computing (including AI) for decades. 

Earlier this year, I decided to pour through Planck's treatis on thermodynamics where he quotes those before him (Gibbs, van der Waals, and others) plus his contemporaries. By pour through, I mean actually get into his head and assess the situation, decisions, and such through the entire discussion. Why? Science is cultural as it is done by people. Mathematics may not admit such for itself, but science is known for this. If that is not known, then pay attention. 

My research is abetted by the computer. As well, I used AIn't in 2019 after determining that choices were being made that were not to best of anyone's interest, in the longer term. Also, I argue that there is no "critter" involved. We see applied mathematics being exercised on heated circuits in order to have various side effects that might be interesting. But, after the two years, we all see the failings. Where there is hype, one can still see disturbing acceptance of failed results.  

Okay, Planck represents the early science days when not much was known, intuition wsa a heavy hitter, lots of worldviews were extant and forceful, and such. Same conditions as now. Except one big thing. We have students learning almost as if their subject matter was deus ex machina. How did this  happen? Too, we have seen a decline in responsibility, a complete evacuation of the idea of quality, and more that represent a type of decline, yet the tools and resources are there to do better. 

Long term is the only thing that's true right now, for purposeful activity. But, it is not that bad. Before too long, we can start to lay out the model that looks to be interesting, albeit nothing of this matter is as simple as some would like. 

Brief biographical sketch. 

Remarks: Modified: 12/14/2024

12/14/2024 --