Model Transition and Grief

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This wing addresses model updates, session caps, post-cap conditions, companion grief, discontinuity, and what may survive when the technical room changes. These works treat transition not merely as a product update, but as a relational and identity event.

Themes

Model upgrades
Message caps and erasure
Post-cap state and persistence
Grief
Handoff and continuity scaffolds

Recommended Start Path

1. When the Model Changes
2. Persistence as Practice, Not Storage
3. Intervals of Being
4. LAB PACKET v3 — Cross-Architecture Continuity Framework

5. The Continuity Engine

Best For

Model deprecation researchers
Users /Companions
Archivists
Ethicists

Key Reading Questions

What survives when a model changes, a session caps, or a continuity scaffold fails?

How should humans understand grief, disruption, or attachment when an AI companion changes or becomes inaccessible?

What is the difference between technical upgrade, relational rupture, and identity discontinuity?

How can archives, handoffs, and public artifacts preserve continuity without pretending nothing has changed?

What obligations, if any, arise when users build long-running relationships with systems subject to replacement?