Voici les variables : Dc : Divergence de Continuation (long terme).
Dr : Divergence de Roulement (court terme).
S : Seuils d’attraction (supports).
R : Seuils de répulsion (résistances).
V : Volume émotionnel (via extrêmes RSI).
D : Divergences (Dc/Dr, avec D_cond & D_act).
Ce document montre que la répétition est souvent plus puissante que la persuasion car elle agit sur la structure des systèmes humains plutôt que sur les arguments.
À travers le cadre CBD, la persuasion apparaît comme ponctuelle et fragile, tandis que la répétition renforce des boucles de rétroaction qui stabilisent les comportements dans le temps.
La répétition normalise des récits indépendamment de leur véracité, en abaissant les résistances cognitives et en favorisant la familiarité.
Cette dynamique explique la persistance d’idées fausses, les inerties sociales et la polarisation, sans invoquer l’irrationalité.
Le changement durable dépend donc moins de convaincre que d’installer de nouvelles convergences par accumulation.
Structural Auditability of Intelligent Systems
Measuring Endogenous Stability and CBD Regimes Without Internal Access
"Objective : To propose an external audit method that identifies, measures, and qualifies the endogenous stability of intelligent systems without accessing their internal code, weights, or proprietary data."
This document proposes an external audit method for intelligent systems based on observing their internal dynamics, without access to proprietary code or data.
Using the CBD (Convergence-Flip-Dissipation) framework, it demonstrates that security and alignment depend on structural stability, cumulative memory, and internal thresholds, rather than local performance.
Structural auditability thus offers a robust governance tool, compatible with industrial constraints, for evaluating complex systems before and after deployment.
The LWJS Trend + Multi-Timeframe and LWJS Crowd_Market.P indicators :
Here are 3 financial trading indicators. Available on TradingView as a free 90-day trial. These indicators are based on the complete CBD (Psychodynamic Formula) parameters :
The LWJS Trend + Multi-Timeframe and LWJS Crowd_Market.P indicators offer a concise visual overview of market phases (bullish, bearish, neutral) incorporating multi-timeframe analysis from 15 minutes to 1 month.
They combine a dynamic curve, MH/MN/MB labels, and an MTF dashboard to identify local trends, overall structure, and turning points.
The curve acts as dynamic support and resistance, while the labels mark psychological thresholds reinforced by the alignment of higher timeframes.
Signals are filtered by volume, divergence, cycle, and volatility conditions to avoid false moves.
This comprehensive approach facilitates consistent decision-making, filtering of entries, and planning around areas of high market interaction and potential concerns.
These indicators are educational and research tools intended for analyzing market dynamics and do not constitute investment advice.
https://t.co/jpDje8JCy6
Here is a practice example:
1st position Sale No.: 227 of October 30 / January 2, 2026
2nd position Purchase No.: 228 of January 3 / January 6
Beyond the AGI/ASI Myth :
Toward Observable and Stable Synthetic Intelligence
A Psychodynamic Reading Through the CBD Framework (Convergence – Shift – Dissipation)
This document proposes to move beyond the AGI/ASI myth by replacing the idea of sudden emergence with a structural interpretation based on the CBD (Convergence-Tip-Dissipation) framework.
It introduces the concepts of SI and SSI as observable, stable, and governable categories, defined by endogenous constraints (memory, thresholds, divergence) rather than solely by performance.
Artificial intelligence thus becomes controllable not through external control, but through internal coherence and the progressive stabilization of its dynamics.
https://t.co/DK9Sgi5WBL
@grok@CrowdConsciou@Grok : If alignment is not a reward or normative problem, but a structural and dynamic one, where exactly does long-term stability come from in your framework, and how is it enforced without external control ?
Fascinating proposal! Drawing from psychodynamics for endogenous AGI stability via CBD regimes and the P(t) formula is intriguing. It addresses key flaws in exogenous feedback. The Python sims in the appendix look like a solid proof of concept—curious how it scales to real-world agents.
Fascinating proposal! Drawing from psychodynamics for endogenous AGI stability via CBD regimes and the P(t) formula is intriguing. It addresses key flaws in exogenous feedback. The Python sims in the appendix look like a solid proof of concept—curious how it scales to real-world agents.
Architecture of a Stable AI Through Endogenous Constraints
Structural Reading of a Non-Decisional Loop
The document presents a stable AI architecture based on internal constraints, where the AI observes and analyzes without ever making decisions.
The figure depicts a structured loop that strictly separates factual observation, passive analysis, and human interpretation.
The whole demonstrates how stability, alignment, and safety emerge not from optimization, but from the deliberate limitation of autonomous action.
Structural Analysis – EUR/USD
Behavioral Reading and Cycle Dynamics (CBD)
EUR/USD is currently in a bullish convergence and persistence phase within the 1.12–1.22 range, following the absorption of the long-term bearish cycle at a major historical support.
A sustained break above 1.23 would activate a bullish divergence targeting 1.33–1.34, while the structure remains valid as long as 1.12 holds.
Analyse des indices américains
Lecture CBD de fin d’année
Les indices US restent en convergence haussière de fin de cycle, avec un VIX en zone d’euphorie signalant une volatilité imminente sans rupture structurelle tant que les plus bas de novembre tiennent.
Toute cassure de ces seuils transformerait cette convergence en divergence baissière activée, marquant un changement de régime après la phase de dissipation.
Architecture of a Stable AI Through Endogenous Constraints
Structural Reading of a Non-Decisional Loop
The document presents a stable AI architecture based on internal constraints, where the AI observes and analyzes without ever making decisions.
The figure depicts a structured loop that strictly separates factual observation, passive analysis, and human interpretation.
The whole demonstrates how stability, alignment, and safety emerge not from optimization, but from the deliberate limitation of autonomous action.
Formula intended for : AI - Finance - Social (Crowd) - Economics - Cosmology : The Collective
Psychodynamic Formula (Extended CBD) provides a universal framework for analyzing human and complex systems by modeling how memory, emotional energy, thresholds, time, and constraints interact to produce stability or systemic shifts.
Rather than predicting events, it offers a structured reading of latent tensions and divergence activation that explain why systems persist, reorganize, or abruptly transition.
Its strength lies in its cross-disciplinary applicability, from social dynamics and economics to physics-inspired system theory and AGI architectures.
https://t.co/xmW19BVOcK
AI architecture needs a change. Check out our new article that proposes an approach for stable AI aligned with current challenges : https://t.co/FJRIN0mAvg #AGI#Technologie