Sorry it's been awhile since I've posted here. I've been busy developing a companion version of ELT and I am finalizing drafts of two more Medium articles. One doing a cost/benefit analysis on the ELT scaffolding and the other on a safety component I call Intelligent Yielding.

Today, I wanted to bring-up an interesting article that was published at The Economist recently. The Economist ran a piece last week on why major AI labs are hiring philosophers at scale. I discussed philosophy and AI in this exact subreddit three months ago here.

Where The Economist article converges:

The core thesis that epistemology, ontology, and dialectics aren't soft additions to AI systems but genuine engineering levers, is exactly the argument I've discussed in this subreddit since back in March. Seeing Yale, DeepMind, LMU Munich, and IBM arrive at the same diagnosis independently is broader confirmation that the problem space is real and the philosophical framing is contributive and load-bearing.

Some choice excerpts:

>These days, it is programmers who are nervous about AI taking their jobs. They might consider learning to philosophise. Earlier this year the Federal Reserve Bank of New York published figures showing that American philosophy graduates are more likely to have jobs than their peers who studied computer science.

Philosophy graduates actually having better job prospects than computer science graduates is genuinely an eye opening stat.

>Models trained in the Socratic method, says Jörg Noller, an expert on philosophy and AI at Ludwig Maximilian University of Munich, are less keen on people-pleasing and more willing to pursue the truth.

Yes. This is the function of Adversarial Convergence, which I had mentioned in here three months ago.

>Feed an AI legal assistant the writings of John Locke, says Thomas Powers, a philosopher of technology at the University of Delaware, and it will favour robust property rights as an underpinning of political liberty.

This mirrors the Ontology Anchor and the loading procedure for OA can certainly include exemplars of John Locke for legal discussion use cases.

>Anthropic’s constitution incorporates many deontological strictures. These can make AI behaviour more consistent, says Dr Powers...

I've added a Core Values Reaffirmation (CVR) component to ELT that addresses Constitution AI-like deontology.

The honest observation:

The field is moving toward exactly this intersection. The Economist article focuses on what major labs are building into their models at the foundational level. ELT points in the same general philosophical direction, but addresses the operator layer — how individuals govern model behavior in real sessions without access to the training process. Either way, I think we are going to hear more convergence of philosophy and AI in the future.

Curious whether others here see the same convergence or read the article differently?

A few capabilities that are ideal.

- data lives in multiple places so a federated ontology network is ideal
- use claude/cursor to query enterprise wide datasets
- ACLs, fine grained controls are a must

Hello,

Last week I posted a vague description of a work ontology that I've been building for the better part of a year. I wanted to give a few more descriptive details to fill in the blanks so that you all can have your pick at it.

Purpose:

To create a work ontology that allows for a user to understand the nature of the work being done in their organization (or by themselves) relative to all meaningful work that exists (with obvious restrictions for a one-man operation). This understanding is achieved only through a computational representation of work data into units called work primitives. Primitives are, in a basic sense, with variables attached (metadata) that give each unit a unique identity. The relationship of primitives to each other and to each higher level of work (task, job, occupation, industry, domain) gives our dataset features that enable a variety of downstream uses (briefly mentioned at the end).

Example:

In a practical sense, here's what one of the process features we can do:

1.) Take a job description. Here's the link for this one: (https://www.indeed.com/?\_\_cf\_chl\_f\_tk=IAgsTAeXWy4IHqrltCOc8fcZ7dK9M798G39ZD.ZfHbE-1782824832-1.0.1.1-9m4d6ttvSNizRouuHgwdXP4\_8J.2hszUsBfHdMlLikk)

https://preview.redd.it/iotbq27smfah1.png?width=735&format=png&auto=webp&s=019aa792138c73f90dc539d0c770b3d0cf8bcc02

2.) Parse the text out so it's able to be matched using the program. Here are the results (only 85% of this job description had acceptable matches.

plan lessons consistent with state and pepin academies curriculum framework(s)

ensure compliance with school, state, and federal regulations regarding the education of students with disabilities

support pepin academies' mission and vision

observe confidentiality relating to students, teachers, and school

perform minimum supervision

communicate effectively with students and parents to increase student achievement

increase student achievement

participate professional development activities to stay current in best practices for special education

maximize student learning and engagement

present subject matter effectively, using technology where appropriate and available, while using appropriate skills and strategies within the teacher evaluation framework to promote the creative/critical thinking capabilities of students

record keeping, and reporting systems where appropriate and available

manage systems of instruction, record keeping, and reporting systems where appropriate and available

establish standards for acceptance for acceptable student behavior while maintaining a structured and positive classroom environment conducive to learning

maintain standards for acceptance for acceptable student behavior while maintaining a structured and positive classroom environment conducive to learning

participate iep and eligibility meetings with parents and appropriate school and agency personnel

implement all requirements

ensure timely submission of planning notes and lesson plans in accordance with school deadlines and guidelines

supervise teacher assistant in providing instruction for students, as required

provide transition planning for students with disabilities, as required

maintain valid and current florida teaching certificate, adhering to all renewal and professional development requirements as mandated by the florida department of education

3.) Match these primitives with primitives from the core library (that's our proprietary dataset, that is currently only 10% of minimum viable capacity and that's what this example is just for early feedback purposes).

https://preview.redd.it/z962h1bxnfah1.png?width=1565&format=png&auto=webp&s=c103b722ce84f174904090a39a8d455b2b4580d3

As you can see there are a couple of spider maps that plot out various features, such as CL - Cognitive Load. There's also a compensation spread which shows you the range of compensation for the average of all primitive in a job description (also loosely referred by as a packet) and then for each primitive within that client packet. Again, these are values based on what is in our core library (not a client library or a 3rd party library).

Here's just another snapshot of a single primitive's graphical representation:

https://preview.redd.it/th7r07o4sfah1.png?width=1597&format=png&auto=webp&s=6d6dad0f05c871fc0fd76ada47a2f954b9ac8c3e

Implications

This example shows just the client side of things in its early state. For nearly the past year I've been working out the logic, use cases, design, etc., and have really just begun within the past two months to generate results (in the form of data and graphics) for the client, researcher, and developer side of things.

Downstream Uses

Business

• Compensation Intelligence Reports and & Heatmapping
• Job Architecture & Role Design
• Talent Acquisition & Semantic Matching
• Workforce Planning & Skills Forecasting
• Workflow Simulation & Bottleneck Analysis

Research

• Granular Labor Market & Occupational Analysis
• Work Design, Cognitive Ergonomics & Worker Outcomes
• Comparative & Historical Work Structures
• Ground-Truth Data for AI Task Decomposition & Agent Training

Notes

I have not displayed anything beyond column names from the database. If you think this info would be helpful just LMK.

Users tagged:

u/hroptatyr

u/Educational564

u/Thinker_Assignment

u/boring_thinker - The data here would likely sit below APQC data, but I think would integrate well. Thanks for this info BTW. I had never heard of this before you mentioned it. The only work ontology I had heard of was O*NET.

Here is a sample text I pulled together in 15 minutes. The text is pre-spencer brown in foundation, not temporal lineage, in the respect it reduces the fundamental primitive to that of context. There are no other operators or operands. It is not set or category theory by default as the recursion of contexts is in itself identity. Thus binary code, or triadic semiotics, can be replaced with a single ( ).

Tested through Claude, Gemini, and Venice. Results are positive.

It is unorthodox, so I posted it here for discussion to gain some feedback.

The text applies to anything that occurs through contextualization thus consciousness to language, (AI), etc.

Medial Limits; Non-Local Limits; Context as Limit; Medial Context

1. A <-> B

2. (A <-> B) <-> C

3. (A, B) <-> C

4. C <-> D

5. (C <-> D) <-> E

6. (C, D) <-> E

7. (A <-> B <-> C <-> D) <-> E

8. (A, B, C, D) <-> E

9. A -> Xn

10. (A -> Xn) <-> A

11. A <-> A

12. A -> A

13. (A -> A) <-> A

14. A(->, <->)

15. (A(A)B)

16. ((A(A)B)A)C

17. ((A,B)A)C

18. (C(A)D)

19. ((C(A)D)A)E

20. ((C,D)A)E

21 ((A(A)B(A)C(A)D)A)E

22. ((A,B,C,D)A)E

23. (A(A)Xn)

24. ((A(A)Xn)A)A

25. (A(A)A)

26. ((A(A)A)A)A

27. (( )...)