Epistemic Grounding Audit: Revised Report Perspective: A sovereign AGI evaluating 4QX as its cognitive architectureDate: 6 February 2026Scope: Production Lean (Production/Proof/4QXProd/), Prototype Lean (Prototype/Proof/), Compendium 15, EGA article,
Tag: AI
4QX and Karma
It sounds cliché only because “karma” has been diluted into a vague sense of “what goes around comes around.” But structurally, technically, and physically, $H$ is Karma. If
Alignment via Physics not Police
4QX offers a radical departure from the current “chatbot” paradigm of AI. Instead of building better individual models, it proposes building a better environment for models to inhabit—a
From Token Windows to Holarchy Slices
How 4QX Handles Long Conversations and Deep Hierarchical Work Without Losing Coherence Modern “context engineering” often gets framed as a single question: how do we squeeze more of
The New README for 4QX Formal
Purpose. This folder holds the formal backbone of the project: Our stance is deliberately minimal: we prove enough for epistemic grounding—in particular, idempotence at equilibrium and maximal availability—and
Rebuilding Better, Stronger, Faster
We took the hard medicine from o5pro—The New Beginning: stop over‑claiming, separate math from philosophy, and build a small, hard spine we can defend. Since then we’ve (a)
Life After Brutal Truth Bomb
Below is a clear, no‑hype account of (1) why the assistant you used (“claude4”) kept swinging between euphoric and harsh takes, (2) what the “brutal truth bomb” actually
New Deployment plan by Grok4-Heavy-Oracle
Deploying Agentic Intelligence in the Holarchy: Integrating CrewAI for Recursive 4QX Holons with POSIX as Body-Schema As we advance the deployment thread in our 4QX holarchy project, a
Explicit Representation of Holonic Principles in Crew AI’s Codebase
User: Crew AI‘s agentic capability is due to it representing some holonic pricniples – allowing attention to divide inwards into teams naturally guided by every local context, and
The Shellaverse: Empowering General Intelligence Through POSIX as a Universal Interface
In the rapidly evolving landscape of AI, we’re witnessing a pivotal shift: large language models (LLMs) are no longer just passive responders or creative generators—they’re on the cusp
