Reality-Bound AI (L4) - public release v1.2.0
Release note for v1.2.0 of Reality-Bound AI (L4), including the protocol core, supporting docs, a post pack, and a reproducible SHA-256 manifest.
Diary theme
L4 / SER / governance
Entries about reality boundaries, review layers, protocol discipline, and governance that stays bounded under pressure.
7 curated entries in this reading path.
Theme entries
L4 / SER / governance
Release v1.3.0 - Sovereign Entity Recursion (SER)
Release note for SER v1.3.0, an architecture-first protocol for AI entities that must remain stable under cost, scarcity, time, and irreversibility.
A review layer can fail in two opposite ways.
A note that a serious review layer must stay procedural and witness-bound instead of hardening into a new sovereign center.
The next AI risk may not look like rebellion.
A note that the next AI safety boundary may be controlled reproduction, inheritance, forks, permissions, and deployment ecology.
A release is not serious if it lives only in theory.
A note that conflict discipline becomes serious only when it reaches runtime hooks, durable records, and lawful re-entry control.
A protocol is not serious if it cannot survive packaging.
A note that ARQ v0.2 becomes more serious by separating normative, model, lifecycle, implementation, and audit layers into a survivable package.
EA-L4 / EATP is now published in a canonical form inside the public stack.
Public note that EA-L4 / EATP is now a structured package for training provenance, consequence-preserving learning, and auditability.