A SNAPSHOT, NOT A SCHEDULE

Where my attention is.

A few things occupying the foreground.
The rest is still there.

building /

Sato

Connecting local knowledge retrieval, notebooks, and an agent runtime into a learning layer that belongs to the student.

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building /

OpenLens

Working through how websites are indexed, evaluated, and understood by AI systems. Following information from source to answer.

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learning /

Dynamical systems

Thinking in states, inputs, and feedback. Following the connections between control, continuous intelligence, and physical systems.

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returning to /

Kichwa

The relationship between language preservation, data provenance, model training, and the people who can validate the result.

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Also unresolved: can intelligence be continuous? And what does responsible modeling look like when the data is scarce?

This page records a moment of attention. It will move.