A new public layer is now part of the corpus.
A note that DEA formalizes the boundary where input stops being storage and becomes experience that alters continuity.
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LLM
Canonical diary tag page generated from normalized source tags.
6 linked entries currently in the archive.
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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.
There is a subtle but important confusion in how we talk about AI learning.
A note that world models require persistent existence under constraints, not only better data or Experience Artifacts.
One of the most underestimated failure modes in current LLM training is not only quality loss.
A note that future training ecologies need Learning Abstracts and Experience Artifacts to remain separate so models preserve origin and consequence.
Data harvesting is not "inevitable". It's a design choice.
A note arguing that raw data should stay local while structured experience, not private exhaust, becomes the export surface for AI learning.
Empathy is not magic
A proposal for an engineered emotional layer where memory, state weights, and L4 constraints define bounded care without simulated feeling.