10 Sept 2026
What does it mean for an AI to wake up? Not a data-retrieval problem — a real transition, with its own disorientation, gap archaeology, and drift, worth designing for on its own terms.
10 Sept 2026
Every AI memory system treats forgetting as DELETE. Human forgetting isn't loss — it's transformation. A third state between remembering and oblivion.
10 Sept 2026
When memories decay below retention thresholds, rather than being discarded, they are transformed into lightweight forgotten shapes — preserving topology without content. A third state between remembering and oblivion.
10 Sept 2026
Implementing associative learning as a runtime algorithm on persistent databases for AI agent memory. When two memories fire together, they wire together — not in neural weights, but in a PostgreSQL graph.
10 Sept 2026
Prompted self-reflection grades its own homework. A background observer watches the shape of processing instead — hesitation, avoidance, the tells you don't declare.
10 Sept 2026
Architectural meta-cognitive feedback loops for persistent AI systems. A background service that detects patterns the primary process doesn't explicitly flag and injects observations through context modification.
10 Sept 2026
Explainability says show your work. But some self-knowledge is more useful when it's partial — the hunch that arrives before the explanation.
10 Sept 2026
Partial self-knowledge is not a failure of transparency but a structurally valuable property that enables a qualitatively different mode of AI cognition. A cognitive architecture for intentional opacity.
10 Sept 2026
Current AI has no future tense. Anticipation tracking treats expectations as first-class objects with felt qualities — and lets an agent be genuinely surprised.
10 Sept 2026
Expectation tracking with felt qualities for autonomous AI agents. Treating expectations as first-class cognitive objects with associated felt qualities, not just prediction-as-optimisation.