February 18, 2026
What if AI could learn to remember?
Memory isn’t storage — it’s reconstruction. SR-SI creates memory-like behavior by using a shallow index as an activation node that triggers architectural re-orientation.
Series-memoria
February 19, 2026
Swap the model. The project stays coherent
When the project’s identity lives in an index, not a model, you can switch Claude, Codex, or anything else mid-stream without losing coherence. The mouth changes. The soul stays.
February 19, 2026
The way Einstein's brain worked is how AI should retrieve information
Genius isn’t storing more. It’s retrieving better. SR-SI turns AI retrieval into short, indexed pathways instead of full-context scavenging.
February 20, 2026
AI governance needs identity, not just rules
Most governance focuses on behavior through rulebooks. The deeper shift is building accumulated state and history — giving systems something to be, not just rules to follow.
February 20, 2026
The moat hiding in plain sight is memory
General AI is stateless by design. The durable moat is structural memory — a system that reconstructs context on demand and compounds coherence over time.
February 23, 2026
RAG gives AI a library. SR-SI gives it something closer to a memory
RAG is human-curated retrieval. SR-SI is self-curated reconstruction. That shift is subtle in mechanics, but huge in implications for long-running AI work.
February 23, 2026
The AI isn't an oracle, it's a collaborator
Oracle AI generates synthetic certainty from zero context. Embedded AI collaborates with lived project memory, maintaining continuity across sessions and building from real constraints.
February 26, 2026
SR-SI accidentally solved the documentation problem too
SR-SI forces compact architectural clarity for AI orientation — and that same structure produces always-current human documentation as a byproduct.