Diary entry

ARQ is now published on Zenodo.

2026-03-25

Release note for ARQ on Zenodo as a citable public object with bounded deviation handling, traceability, and accountability.

Not as a loose note. Not as a repository fragment. As a citable public object.

ARQ - Anti-Resonance Correction Protocol - is not proposed as a replacement for error correction.

It operates one layer higher.

The question is no longer only: "How do we suppress deviation?"

It becomes: "How do we classify deviation under bounded conditions, when continuity matters?"

The bridge is simple:

correction logic -> SER continuity -> L4 bounded accountability

Two quieter requirements matter just as much.

First, deviations that are preserved or promoted should not disappear into private intuition. They need witness-backed traceability.

Second, adaptive handling must remain bounded.

A long-lived system cannot treat every anomaly as a reason for open-ended retries.

And this is not abstract.

On real hardware, power is finite. Cooling is finite. Memory endurance is finite. Controller trust is finite. Privilege must be finite too.

That is why this release matters to me.

Not because it is louder. Because it is cleaner. Because it is citable. Because the public contour is now fixed in a form that can be reviewed, referenced, and challenged.

DOI: 10.5281/zenodo.19224971

GitHub reading context: https://github.com/Kot141078/sovereign-entity-recursion/tree/main/protocol/arq

Diary Archive LinkedIn origin trace About

Continue from here

Related by normalized tags, curated themes, and nearby chronology.

2026-03-25

A good AI should be difficult to manipulate - even by its owner

A note that trustworthy long-lived AI should resist manipulation, including by the human who owns the hardware.

Advanced Global Intelligence AI Ethics AI Architecture Human-Centered AI Cybernetics Digital Identity Long Term Memory Coexistence AI Safety Systems Thinking L4 Sovereign AI Future of AI Trust

Open entry

2026-03-28

While much of AI is still arguing about old "AGI," the ocean already demands c.

A note that ocean autonomy needs c: persistent, bounded intelligence that can operate under pressure and return with verified experience.

Advanced Global Intelligence AI Ocean Autonomy Continuity c = a + b L4 AgentOS Embodied AI Digital Entities Human-Centered AI AI Architecture Future of AI Robotics Systems Thinking

Open entry

2026-03-27

A lot of AI discussion still assumes the main demand will come from offices:

A note that persistent AI may be adopted first as domestic infrastructure rather than as office productivity software.

Advanced Global Intelligence AI Architecture Human-Centered AI Local-first AI Private AI Domestic Engineering Home AI Future of Living Cybernetics Systems Thinking Cognitive Infrastructure Continuity L4 Future of AI

Open entry

2026-03-26

Most people look at AI systems from the outside.

A note that continuity, memory, and stable identity change how an AI architecture looks from the inside.

Continuity AI Architecture Sovereign AI Advanced Global Intelligence L4

Open entry