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* [[Publications Access Graphs]] - very informative telemetry split between human and machine with normative invariants | * [[Publications Access Graphs]] - very informative telemetry split between human and machine with normative invariants | ||
* [[:category:Cognitive Memoisation]] - semantic landing page and index page | * [[:category:Cognitive Memoisation]] - semantic landing page and index page | ||
=Recently Released CM-2 = | =Recently Released CM-2 = | ||
The CM-2 Protocol specification is an Open Source Apache 2.0 licensed protocol release for vendor adoption for Round Trip Knowledge and Distributed Cognition across the entire LLM AI community: | The CM-2 Protocol specification is an Open Source Apache 2.0 licensed protocol release for vendor adoption for Round Trip Knowledge and Distributed Cognition across the entire LLM AI community: | ||
* ('''CM-2 protocol paper''') — [[Cognitive Memoisation (CM-2) for Governing Knowledge in Human-AI Collaboration]] | * ('''CM-2 protocol paper''') | ||
* ('''CM-2 protocol first self-hosting''') — [[First Self-Hosting Epistemic Capture Using Cognitive Memoisation (CM-2)]] | : — [[Cognitive Memoisation (CM-2) for Governing Knowledge in Human-AI Collaboration]] | ||
* ('''CM-2 purpose paper''') — [[Cognitive Memoisation: Governing Knowledge Round-Trip to Prevent Knowledge Erosion in LLM Systems]] | * ('''CM-2 protocol first self-hosting''') | ||
* (''' | : — [[First Self-Hosting Epistemic Capture Using Cognitive Memoisation (CM-2)]] | ||
* ('''CM-2 purpose paper''') | |||
: — [[Cognitive Memoisation: Governing Knowledge Round-Trip to Prevent Knowledge Erosion in LLM Systems]] | |||
: — [[Let's Build a Ship: Why complex systems fail politely - and how humans can keep them afloat]] | |||
* ('''CM Corpus Governance''') | |||
: — [[Correlation_of_Emerging_AI_Trends_with_Cognitive_Memoisation_Corpus_Terminology]] | |||
: — [[Observational Note: Qwen Proxy-Mediated Corpus Access Fails CM-2 Attribution Checks]] | |||
=Rationale= | |||
* ('''CM public announcement''') | |||
: — [[Cognitive Memoisation (CM) Public Statement and Stewardship_Model]] | |||
* ('''CM plain language''') | |||
: — [[Cognitive Memorisation: Plain-Language Summary (For Non-Technical Readers)]] | |||
: — [[Journey: Human-Led Convergence in the Articulation of Cognitive Memoisation]] | |||
: — [[Let's Build a Ship: Why complex systems fail politely - and how humans can keep them afloat]] | |||
* ('''The CM Purpose Paper''') | |||
: — [[Cognitive Memoisation: Governing Knowledge Round-Trip to Prevent Knowledge Erosion in LLM Systems]] | |||
* ('''Public Misconception''') | |||
: — [[Cognitive Memoisation Is Not Skynet]] | |||
* ('''Category''') | |||
** [[:Category:Rationale]]. | |||
==Normative Architecture== | ==Normative Architecture== | ||
A server-side interim architecture for CM-2 proof of concept of Context Projection of CM-2 Epistemic artefacts: RO, EO, EA (Memorisation without a client side memoisation cache). RO, EA are subtypes of EO which are idempotently identified with invariant bodies that are parsed -> tokenise -> embeddings | A server-side interim architecture for CM-2 proof of concept of Context Projection of CM-2 Epistemic artefacts: RO, EO, EA (Memorisation without a client side memoisation cache). RO, EA are subtypes of EO which are idempotently identified with invariant bodies that are parsed -> tokenise -> embeddings | ||
* ('''a platform independent normative architecture with structural Context Eviction Detection and Ladder Recovery - based on CM-2 protocol''') | * ('''a platform independent normative architecture with structural Context Eviction Detection and Ladder Recovery - based on CM-2 protocol''') | ||
: [[CM-2 Normative Architecture]] | : — [[CM-2 Normative Architecture]] | ||
* ('''first self-hosting: via Gemini search!''') | * ('''first self-hosting: via Gemini search!''') | ||
: [[Serendipitous_Self-Hosting: When the CM-2 Normative Architecture Unexpectedly Held in Gemini]] | : — [[Serendipitous_Self-Hosting: When the CM-2 Normative Architecture Unexpectedly Held in Gemini]] | ||
* ('''normative bootstrap template''') | * ('''normative bootstrap template''') | ||
:[[CM-2 Reference Object Collection bootstrap data]] | : — [[CM-2 Reference Object Collection bootstrap data]] | ||
* ('''normative Attention Deficit (Context Eviction) detection''') | * ('''normative Attention Deficit (Context Eviction) detection''') | ||
: [[Self-Hosting Bootstrap of CM-2 in Gemini Search LLM: Normative Eviction Detection]] | : — [[Self-Hosting Bootstrap of CM-2 in Gemini Search LLM: Normative Eviction Detection]] | ||
* ('''The CM Purpose Paper''') | * ('''The CM Purpose Paper''') | ||
: [[Cognitive Memoisation: Governing Knowledge Round-Trip to Prevent Knowledge Erosion in LLM Systems]] | : — [[Cognitive Memoisation: Governing Knowledge Round-Trip to Prevent Knowledge Erosion in LLM Systems]] | ||
=Cognitive Memoisation Knowledge Engineering works= | =Cognitive Memoisation Knowledge Engineering works= | ||
| Line 74: | Line 92: | ||
See featured new since circa 2025-12-15: | See featured new since circa 2025-12-15: | ||
* ('''CM Corpus Map''') | * ('''CM Corpus Map''') | ||
:[[Cognitive Memoisation Corpus_Map]] for '''Temporal''' & '''Semantic''' Entry point | : — [[Cognitive Memoisation Corpus_Map]] for '''Temporal''' & '''Semantic''' Entry point | ||
* ('''CM access graphs''') | * ('''CM access graphs''') | ||
: [[Publications Access Graphs]] - for corpus access graphs | : — [[Publications Access Graphs]] - for corpus access graphs | ||
* ('''CM Category Index''') | * ('''CM Category Index''') | ||
:[[:Category:Cognitive Memoisation]] for Category index (where new updates appear) | : — [[:Category:Cognitive Memoisation]] for Category index (where new updates appear) | ||
* ('''CM public announcement''') | * ('''CM public announcement''') | ||
:[[Cognitive Memoisation (CM) Public Statement and Stewardship_Model]] | : — [[Cognitive Memoisation (CM) Public Statement and Stewardship_Model]] | ||
* ('''CM plain language''') | * ('''CM plain language''') | ||
: [[Cognitive Memorisation: Plain-Language Summary (For Non-Technical Readers)]] | : — [[Cognitive Memorisation: Plain-Language Summary (For Non-Technical Readers)]] | ||
: [[Journey: Human-Led Convergence in the Articulation of Cognitive Memoisation]] | : — [[Journey: Human-Led Convergence in the Articulation of Cognitive Memoisation]] | ||
: [[Let's Build a Ship: Why complex systems fail politely - and how humans can keep them afloat]] | : — [[Let's Build a Ship: Why complex systems fail politely - and how humans can keep them afloat]] | ||
* ('''The CM Purpose Paper''') | * ('''The CM Purpose Paper''') | ||
:[[Cognitive Memoisation: Governing Knowledge Round-Trip to Prevent Knowledge Erosion in LLM Systems]] | : — [[Cognitive Memoisation: Governing Knowledge Round-Trip to Prevent Knowledge Erosion in LLM Systems]] | ||
* ('''CM modelling''') | * ('''CM modelling''') | ||
: [[Cognitive Memoisation and LLMs: A Method for Exploratory Modelling Before Formalisation]] | : — [[Cognitive Memoisation and LLMs: A Method for Exploratory Modelling Before Formalisation]] | ||
* ('''CM-1 main paper''') | * ('''CM-1 main paper''') | ||
: [[Progress Without Memory: Cognitive Memoisation as a Knowledge-Engineering Pattern for Stateless LLM Interaction]] | : — [[Progress Without Memory: Cognitive Memoisation as a Knowledge-Engineering Pattern for Stateless LLM Interaction]] | ||
* ('''CM-2 protcol paper''') | * ('''CM-2 protcol paper''') | ||
: [[Cognitive Memoisation (CM-2) Protocol]] | : — [[Cognitive Memoisation (CM-2) Protocol]] | ||
* ('''CM-2 first self-hosting''') - actual experiment for proof of concepts | * ('''CM-2 first self-hosting''') - actual experiment for proof of concepts | ||
: [[First Self-Hosting Epistemic Capture Using Cognitive Memoisation (CM-2)]] | : — [[First Self-Hosting Epistemic Capture Using Cognitive Memoisation (CM-2)]] | ||
* ('''CM-2 Normative Architecture''')- actual experiment for proof of concepts | * ('''CM-2 Normative Architecture''')- actual experiment for proof of concepts | ||
: [[CM-2 Normative Architecture]] | : — [[CM-2 Normative Architecture]] | ||
* ('''CM-2 Normative Architecture first self-hosting: via Gemini search!''') - actual experiment for proof of concepts | * ('''CM-2 Normative Architecture first self-hosting: via Gemini search!''') - actual experiment for proof of concepts | ||
: [[Serendipitous_Self-Hosting: When the CM-2 Normative Architecture Unexpectedly Held in Gemini]] | : — [[Serendipitous_Self-Hosting: When the CM-2 Normative Architecture Unexpectedly Held in Gemini]] | ||
* ('''CM | * ('''CM Corpus Governance''') | ||
: [[Correlation_of_Emerging_AI_Trends_with_Cognitive_Memoisation_Corpus_Terminology]] | : — [[Correlation_of_Emerging_AI_Trends_with_Cognitive_Memoisation_Corpus_Terminology]] | ||
: — [[Observational Note: Qwen Proxy-Mediated Corpus Access Fails CM-2 Attribution Checks]] | |||
The CM corpus is designed to be corrigible: all artefacts are held under explicit human authorship and governance, with preserved provenance and an authorised mechanism for correction, revision, or withdrawal over time. (See [[Why_Machines_Cannot_Own_Knowledge]] for the governance rationale underlying this corrigibility requirement.) | The CM corpus is designed to be corrigible: all artefacts are held under explicit human authorship and governance, with preserved provenance and an authorised mechanism for correction, revision, or withdrawal over time. (See [[Why_Machines_Cannot_Own_Knowledge]] for the governance rationale underlying this corrigibility requirement.) | ||
| Line 138: | Line 157: | ||
* [[Rotten to the Core: False Liveness and Deceptive Authority in ChatGPT Conversational AI]] | * [[Rotten to the Core: False Liveness and Deceptive Authority in ChatGPT Conversational AI]] | ||
* [[Future Tense]] | * [[Future Tense]] | ||
=Earlier Publications= | =Earlier Publications= | ||
Latest revision as of 13:07, 6 May 2026
Overview
Mediawiki Site Statistics
| Publication Date: | 2025-12-23T13:00Z | |
| Files: | 358 | total |
| Pages: | 1,823 | total |
| Users: | 1 |
The drop traffic is a result of the iptables chain match to ipsets.
The SYN rate and detection rate show that the server is being hit with traffic, and that traffic is rotating through IP address pools respectively.
Geo filtering and bot Verification were introduced to treat anonymous traffic and masquerading traffic respectively on 2026-04-17.
A new class of filter was introduced to drop anonymous access to metadata on 2026-04-23.
Geo filtering opened up on publications corpus 2026-04-28T26:00Z
Late pass spikes above baseline are due to local server traffic such as backup and archiving.
Only pages marked category:public are accessible due to Category:Access Control.
Introduction
(new) The corpus is now operating under a CM Mandate.
This corpus was proudly developed with ChatGPT free and the author then enthusiastically jumped to the paid tier adoption to obtain reliable file upload and Project Context.
The development of the CM-2 corpus involved sustained experimentation with large language model platforms. These experiments exposed both stochastic behaviour (addressed normatively by CM-2) and systemic platform variations. The resulting observations informed the governance analysis and protocol design documented in this corpus.
These stochastic variations are well understood, but in colloquial language they are often aggregated by semantically summaries with terms and phrases such as:
- Groundhog day,
- Alice in Wonderland,
- Rabbit holes,
- Conversational Continuation,
- Delusion,
- Fabrication,
- Drift,
- Parroting,
- Authority Inversion,
- Normative Drift.
These Stochastic variations can be analysed with the newly released Governance Axes as a Multi-Dimensional Lens semantic scaffolding providing a taxonomy and orthogonal multi-dimensional graduated pressure instrumentation. Perhaps, one of the significant contributions of the corpus - because this scaffold can be used to analyse pressures in other domains, institutions and systems - and are not constrained to LLM.
Axes telemetry instrumentation can be activated within LLM systems - see Telemetry-Induced Constraint Salience: An Empirical Study in LLM Behavioural Compliance.
The entry point was the 2025-12-12 with the first publication on 2025-12-17.
Maps and Projections
The pages are updated frequently
- Main_Page - semantic landing page
- category:Governance - semantic landing page
- Cognitive Memoisation Corpus Map - for semantic and temporal entry points with normative invariants
- Publications Access Graphs - very informative telemetry split between human and machine with normative invariants
- category:Cognitive Memoisation - semantic landing page and index page
Recently Released CM-2
The CM-2 Protocol specification is an Open Source Apache 2.0 licensed protocol release for vendor adoption for Round Trip Knowledge and Distributed Cognition across the entire LLM AI community:
- (CM-2 protocol paper)
- (CM-2 protocol first self-hosting)
- (CM-2 purpose paper)
- — Cognitive Memoisation: Governing Knowledge Round-Trip to Prevent Knowledge Erosion in LLM Systems
- — Let's Build a Ship: Why complex systems fail politely - and how humans can keep them afloat
- (CM Corpus Governance)
- — Correlation_of_Emerging_AI_Trends_with_Cognitive_Memoisation_Corpus_Terminology
- — Observational Note: Qwen Proxy-Mediated Corpus Access Fails CM-2 Attribution Checks
Rationale
- (CM public announcement)
- (CM plain language)
- — Cognitive Memorisation: Plain-Language Summary (For Non-Technical Readers)
- — Journey: Human-Led Convergence in the Articulation of Cognitive Memoisation
- — Let's Build a Ship: Why complex systems fail politely - and how humans can keep them afloat
- (The CM Purpose Paper)
- (Public Misconception)
- (Category)
Normative Architecture
A server-side interim architecture for CM-2 proof of concept of Context Projection of CM-2 Epistemic artefacts: RO, EO, EA (Memorisation without a client side memoisation cache). RO, EA are subtypes of EO which are idempotently identified with invariant bodies that are parsed -> tokenise -> embeddings
- (a platform independent normative architecture with structural Context Eviction Detection and Ladder Recovery - based on CM-2 protocol)
- (first self-hosting: via Gemini search!)
- (normative bootstrap template)
- (normative Attention Deficit (Context Eviction) detection)
- (The CM Purpose Paper)
Cognitive Memoisation Knowledge Engineering works
See featured new since circa 2025-12-15:
- (CM Corpus Map)
- — Cognitive Memoisation Corpus_Map for Temporal & Semantic Entry point
- (CM access graphs)
- — Publications Access Graphs - for corpus access graphs
- (CM Category Index)
- — Category:Cognitive Memoisation for Category index (where new updates appear)
- (CM public announcement)
- (CM plain language)
- — Cognitive Memorisation: Plain-Language Summary (For Non-Technical Readers)
- — Journey: Human-Led Convergence in the Articulation of Cognitive Memoisation
- — Let's Build a Ship: Why complex systems fail politely - and how humans can keep them afloat
- (The CM Purpose Paper)
- (CM modelling)
- (CM-1 main paper)
- (CM-2 protcol paper)
- (CM-2 first self-hosting) - actual experiment for proof of concepts
- (CM-2 Normative Architecture)- actual experiment for proof of concepts
- (CM-2 Normative Architecture first self-hosting: via Gemini search!) - actual experiment for proof of concepts
- (CM Corpus Governance)
- — Correlation_of_Emerging_AI_Trends_with_Cognitive_Memoisation_Corpus_Terminology
- — Observational Note: Qwen Proxy-Mediated Corpus Access Fails CM-2 Attribution Checks
The CM corpus is designed to be corrigible: all artefacts are held under explicit human authorship and governance, with preserved provenance and an authorised mechanism for correction, revision, or withdrawal over time. (See Why_Machines_Cannot_Own_Knowledge for the governance rationale underlying this corrigibility requirement.)
The corpus is structured as a constructive demonstration of governed, corrigible knowledge infrastructure.
Licensing precedence for all artefacts is anchored to the timestamp of the first recorded Mediawiki version (UTC) and recorded in the metadata as Publication date. Subsequent revisions do not alter licensing precedence and are tracked separately as version provenance; not all version provenance is required to persist. Mediawiki versioning is used mainly for bot updates.
All papers in this category are published on a rolling basis. For licensing and precedence purposes, each paper’s publication date corresponds to its first recorded public revision (UTC). Subsequent edits do not alter publication status.
Governance Publications
See featured since :
- Correlation_of_Emerging_AI_Trends_with_Cognitive_Memoisation_Corpus_Terminology
- Governance Axes as a Multi-Dimensional Lens - (fairly new and very informative cross domain)
- Category:Governance
- Category:Governance Lens
The Governance projection across the corpus is designed to be corrigible: all artefacts are held under explicit human authorship and governance, with preserved provenance and an authorised mechanism for correction, revision, or withdrawal over time. (See Why_Machines_Cannot_Own_Knowledge for the governance rationale underlying this corrigibility requirement.)
The corpus is structured as a constructive demonstration of governed, corrigible knowledge infrastructure.
Licensing precedence for all artefacts is anchored to the timestamp of the first recorded Mediawiki version (UTC) and recorded in the metadata as Publication date. Subsequent revisions do not alter licensing precedence and are tracked separately as version provenance; not all version provenance is required to persist. Mediawiki versioning is used mainly for bot updates.
All papers in this category are published on a rolling basis. For licensing and precedence purposes, each paper’s publication date corresponds to its first recorded public revision (UTC). Subsequent edits do not alter publication status.
ChatGPT Engineering Reports
Engineering and Problem reports.
- ChatGPT and the Disappearing Clock: A Regression Affecting CM-2 Epistemic Object Protocol Compliance
- shows the use of Multi-dimensional Cross-domain Governance Lens
- ChatGPT UI is unable to sustain serious work flows
- ChatGPT Interrupted Inference and Artefact Non-Materialisation: Evidence of UI-Mediated Commit-Boundary Failure
- BF-9 Report: ChatGPT Project Context Artefact File Access Failure - shows the use of Multi-dimensional Cross-domain Governance Lens
- From UI Failure to Logical Entrapment: A Case Study in Post-Hoc Cognitive Memoisation After Exploratory Session Breakdown
- ChatGPT UI Boundary Friction as a Constraint on Round-Trip Knowledge Engineering
- Rotten to the Core: False Liveness and Deceptive Authority in ChatGPT Conversational AI
- Future Tense
Earlier Publications
Many of these publications are popular and predate 2025-12.
Amateur Radio Publications
- category:Amateur Radio - General Amateur Radio pages
- category:Antenna simulation - Antenna Simulations (popular)