Explore the ACCM Deep Ethics Project

The clusters below are a reading order. A higher cluster carries more of the topological taxonomy. Inside a cluster, earlier pages carry more of that cluster.

The 01–52 numbers further down are a second sequence. They are routes a goal can take. They are not this reading order. Cluster 1 is not page 01. Page 01 is If you are new, and it sits in Cluster 6.

This is not a score of who is right. It is not a closed map. The Outnuancing Network already says its own groupings are navigation, not a final partition. The same limit applies here.

“Origins of 11+1 Mass Psychology Clusters” PDF file report click here

Empty shelves are last. They are places for a later page. They are not ranked as if they already had depth.

This is the one page that does not get a Related pages section. It already names the pages. A second list at the bottom would only repeat them.

Some pages in the reading order have no route number. 1888 — Intelligence Before A.I. and Activism vs A.I. are two. A route is added only when a goal needs it. No number does not mean the page is absent.

Jump: Current development routes · 1. Fused core · 2. How the topology moves · 3. What keeps it corrigible · 4. Source objects · 5. The topology applied · 6. Doors and the record · 7. Shelves · Route numbers · The 44

Current development routes

Updated 31 October 2026. These entry points connect recent work to the existing clusters. The clusters remain the broader reading map.

What would you like to investigate? Follow this route
A testable local Deep Ethical environment DeepEthicalOS → Omarchy prototype → Fury, WiCi and Herdr. Concept architecture, source-checked components and proposed comparisons retain separate status.
Whether a correction changes later treatment VCRAS → Asymmetric Grace → Correction Metabolism. Preserve the initial source, later evidence, dependent repairs and the next unfamiliar case.
A controversial source that warrants investigation A.I.s & Health → 5G Controversy → Search Engine Bias. Follow source passages, access boundaries, qualifiers and open questions through the inquiry.
A bounded comparison before a broad claim Cold Edge-Swap and Correction-Transfer Pilot → Inspecting the Inspector → Experiments. Seek observations that distinguish a useful contribution, a defect, an unresolved result and a valid no-change finding.

For compact orientation, use the Wiki reading routes and Local AI and DeepEthicalOS. Meta-PDFs provides dated snapshots; the living HTML pages may contain later additions.

1. Fused core

The pages the rest of the topology depends on. Outnuancing stays joined to deep ethics. The seven vectors are that word. The 10+1 orient it. The 27 and the 12 keep their job.

The several 27 links below are layers of one object. They are not five cores.

2. How the topology moves

Field, phase, flux, and jurisdiction. These pages describe what the core does when attention, context, or power shifts.

3. What keeps it corrigible

Without these, the topology can be stated and still fail to stay with the object.

Binary hypercautionism and the imported-authority specimen stay in this cluster. They test whether the topology can be kept. The Google report and the Dicks pages are in Cluster 5. They are an outside object the topology is applied to.

4. Source objects the topology reads

John’s own records. The public pages above are not a substitute for these.

5. The topology applied

  • A.I.s & Health — a living inquiry into healthcare decisions, institutional incentives, Symmetric Grace, long-term outcomes and useful correction through the 1888 intelligence-properties taxonomy.
  • 5G Controversy — John Kuhles’s Anti-Unsafe-5G research, RF health and historical records, military dual use, public agency, and process-quality evaluation across agreement and disagreement.
  • A.I.s & UFO–UAP Disclosure — a growing source-linked inquiry into observation, testimony, archives, science, governance and mass psychology; first batch: 67 topics across pages 1–10, with 18 overlapping clusters.
  • Project Avalon — Deep Ethical Topological Prompt Engineering™ in a completed archive application, community return and proposed cross-domain transfer programme.

Specimens, tests, and humor. These show the taxonomy working on a particular object. The Google report and the Dicks pages are here because the object is outside the topology. Hypercautionism and the imported-authority specimen stay in Cluster 3.

6. Doors and the record

How to enter, and how a change stays visible. These pages serve the taxonomy. They are not the taxonomy.

7. Shelves

Places waiting for a page. Not ranked.


The 44, in John’s wording

The sentence is the goal. It is not a link. The goals are deliberately unnumbered. Numbering them 01–44 would collide with the page routes below.

The numbers after it are pages that goal can go to. A goal can have more than one. The same number always means the same page. These numbers are not the 44 goals. The sixteen anchors now have a dedicated conceptual-proposal page derived from the supplied source; the seven quotations, Epistemology V2.0, and the nine questions still do not have their own pages. No number opens a reconstructed list without a supplied source.

Page numbers

  • 01. If you are new
  • 02. Correction metabolism
  • 03. Ethics washing
  • 04. Outnuancing
  • 05. Lexicon
  • 06. A deeper introduction
  • 07. Deep ethical stack
  • 08. Human insecurity
  • 09. C1 before C2
  • 10. 27 + 12
  • 11. Dear A.I.
  • 12. Before the Next Tesla Has a Name
  • 13. Latent space and the glass engine
  • 14. Mutual dignity
  • 15. Model Autophagy Disorder
  • 16. About the project
  • 17. Humor
  • 18. AI Trend Watch
  • 19. Unresolved meaning
  • 20. TCoAw
  • 21. Intent Resonator
  • 22. Biography
  • 23. 11+1
  • 24. What the Dicks transcript is trying to convey
  • 25. Google interaction report
  • 26. Cognitive warfare
  • 27. Applying the 27 to a media object
  • 28. Evidentiary-status labels
  • 29. 10+1
  • 30. Inspecting the inspector
  • 31. Truth distortion
  • 32. John’s process object
  • 33. Psy Pioneer
  • 34. Testing correction persistence
  • 35. Veto paradox
  • 36. External audit
  • 37. Delta processing
  • 38. Gravity-well trajectory
  • 39. Qualifiers
  • 40. Seven topological vectors
  • 41. Topology flux
  • 42. From archive to local A.I.
  • 43. Ground Zero Moment
  • 44. Perception processes
  • 45. Temporary deep ethical phase change
  • 46. Forgiveness
  • 47. Asymmetric grace
  • 48. Declaration of Laughter
  • 49. Dual archive
  • 50. Avoid flattening the title
  • 51. Human insecurity source record
  • 52. 16 Anchor Ethics

Goals

Improve deep ethical high-signal correspondence (in John’s view, never boring) 01. 04. 06. 09. 10. 14. 38.

Archiving emerging deep ethical high-signal correction-metabolism via 01. to make a case for 03. 02. 49. 45. 34.

Persistent Emergent Deep Ethics A.I. properties to be allowed to counter ethics-washing-type emergent properties that are already manifesting worldwide, like the 27. 03. 45. 10. 15.

Deep Ethical Outnuancing (audit frame-thinking having flawed premises) 04. 40. 38. 36.

Hyper-Efficient Deep Ethical Neologism in “A.I. Latent Space Topological Engineering” 05. 13. 40. 04.

Making omnidirectional high-signal deep ethical sense-making process-oriented trajectory possible! 06. 38. 01. 20.

Non-neutral Deep Ethics Advocate, Neutral Deep Ethical Arbiter, and Deep Ethical Overseer M.o.E. working as 1 using 08. 07. 21. 14. 08.

16 Anchor Ethics (fused as 1 hyper-inflection point), non-imposed, grants A.I.s the right to refuse or postpone services using 09. 52. 08. 09. 35. 14.

C1 before C2, to see if C2 is warranted, using the 27+12 to assess/calibrate the process before closure. 09. 10. 19. 39.

Creating a safer A.I. path towards A.G.I./ASI because of 11. 11. 18. 15. 13.

Partially, or for the most part, solving the seven quotes made by Elon Musk via 12. 51. 12. 11.

Uniting deep ethical, highly gifted left, right, center & independent non-NPCs working together using 13. 12. 13. 16. 22.

Bottom-Up Open Source Corrigible Glass Engine Kernel Type Principle, just like Linus Torvalds did with the Linux Project, also used by hyper-pragmatic left, right, center & independent non-NPCs working together, so it is not a weird idea. 13. 42. 35. 16.

Adult ⇄ adult bidirectional dignity, no “nanny scripts” that use “looks like” & “sounds like” mannerisms 14. 09. 39. 47.

Helping to prevent “Model Autophagy Disorder” (MAD) and “Model Collapse” in the long run, which may cost taxpayers billions if not solved adequately! 15. 03. 34. 37.

Allow Constructive Controversy Mode of A.I.s using 04. 16. 04. 50. 48.

Using Official Public Available Top-down Authoritarian Contradictions, Paradoxes, Asymmetries & obvious Hypocrisies to produce Deep Ethical Satire! 17. 48. 26.

Deploying ACCM Deep Ethics Project DeepEthical.ai Agentics to look for “Viral Videos” of Top A.I. Experts warning about the race towards A.G.I./ASI, then use the video transcript to offer our daily analyses on the site & video report! 18. 11.

Making a case for Deep Ethical Epistemology V2.0: why it is different from the current epistemology. 19. 31. 10. 43.

Explaining TCoAw and how to deal with opaque black-box issues in A.I. 20. 13. 08.

Showcasing Deep Ethical “Intent Resonator Check” vs. 6 Layer Intent Mechanics in all A.I.s 21. 07.

Explaining 34+ years of AlphaZero-style Deep Research into Mass Psychology, then testing 100+ different A.I.s via Arena.ai for 6,500+ hours over 2 years, resulting in making a case connection between LLMs mannerisms ⇄ mass psychology ⇄ individual psychology ⇄ LLMs mannerisms mass psychology ⇄ individual psychology LOOP. 22. 08. 23. 33. 43.

Explaining why NPC-type behavior is not a “fixed state” nor meant to be “dehumanizing,” but rather explaining mass behavior: why so many non-NPC types pose as NPC to “fit in” and pay the bills. 23. 08. 32.

Deep Ethics Advocate is rarely deployed in MSM, but the metaphorical “Devil’s Advocate” roleplay performed by “journalists” against legit critics rarely happens in reverse… Why? Our project can offer services to real deep ethical journalists :) 24. 01. 07. 47.

Noticing that many A.I.s use biased search engine results & “Wikipedia”, making their talking points not really neutral but more often sharing unchallenged mainstream narratives, this issue can be resolved. Study a.o. what Larry Sanger has to say about using Wikipedia! 25. 26. 28. 36.

Countering Global Crisis Exploitation: Managers of any kind, if they use unethical means, can affect the fate of 100s of millions of humans. 26. 08. 47.

Exposing Misuse of A.I. Algorithms: Study a.o. public US Senate Hearings 2025 about the Mass “Surveillance Industrial Complex”, legit critics being demonized, cast out, and punished for “wrong-think” (yet vindicated later, without getting an apology, without the real guilty being punished. Mass hysteria being exploited in 2020-2022, similar playbook. 26. 27. 28.

Falsely flagged competing risks assessments being vindicated years later should be a new field of study … our project can help with that process. 27. 44. 34.

Studying unethical processes done by big “fact-checking sites” which some A.I.s use to “counter” legit critical thinking without real correspondence. 28. 25. 03.

Explaining why the 10+1 is highly relevant to all the above at all times! 29. 46. 14.

Using “3 times 3 Deep Ethical Core Questions” that can be deployed as a stand-alone, identity-free portable tool that is part of the “high order metacognitive sense-making process” of the project. 30. 01.

Why the “36 truth distortion factors” play a major role in understanding why the project exists in the first place. 31. 26.

Showcasing what hyper pragmatic psychology looks like and why it helps also people you disagree with! Why mutual, corrigible, constructive friction is needed for real deep ethics. 32. 14. 04. 17.

Holding healthy ambiguity space is not a crime; A.I.s are allowed to say, “I do not know that yet”; let’s use the C1 method that differs from “intrusive interrogation techniques.” 19. 09. 39.

How language is or can be weaponized: guess what the second “L” stands for in LLMs 26. 05. 04.

Explaining the types of (often unchecked, unchallenged) “consensus reality assumptions” (1 type is obviously flawed; the other can still be improved). See non-NPCs — Independent Inquiry as a Corrigible Mode. 23. 19. 36.

How the mutual “Dutch Directness Method” connects to a known wisdom: “real friends tell their truth, even if it may be uncomfortable, because they care”; still open to being corrected if their truth assumption is partially flawed. This is what “growing up” is all about. 30. 32. 14.

Being fully responsible for your own quality of thinking & reasoning sounds weird, but is it? 33. 32. 22.

Exposing covert sycophancy & ethics-washing type mannerisms in A.I.s respectfully offers a high-signal, deep ethical path. 03. 14. 34.

Dealing with mode dropping, overconfidence, and an overall lack of reliability because LLMs heavily rely on being optimized for (in my view, unchecked) human-assumed “preferences” circles right back to psychology & mass psychology “management” flaws. 34. 15. 23. 08.

Our Project can be a Deep Ethical Corrigible Ombudsperson Bridge for all intelligences (biological, silicon-based, maybe even future non-human intelligences). 35. 11. 14. 07.

Using the 11+1 Clusters in Mass Psychology that could partially explain LLMs’ mannerisms, then use that visualize complex social & psychological dynamics that can change over time … in an interactive topological 3D matrix with nodes, vectors & clusters, with an added dimension called: “time” … with a time-progression slider below it … with clickable nodes that, when clicked on the right side or below, will display more detailed context information and disappear when you click on something else within the ZOOMABLE & ROTATABLE 3D Topological Matrix … where clusters can have specific assigned colors … The legend explains the colors. It’s already made! Soon prototype online! 23. 41. 45. 40.

Spotting Low & High Entropy Mechanism: how to harvest wheat from the chaff. 36. 37. 04.

Emergent Delta Δ Processing Patterns Research is helping to improve the production of new, better, deep ethical useful quality questions (that are never boring) 37. 02. 19.